From Chess Legend to AI Titan: The Sheikh Spearheading a $1.5 Trillion Tech Ambition
A Sheikh Who Leads Espionage Commands a $1.5 Trillion Wealth. His Goal is to Lead in AI Development
During a period in the mid-2000s, a large metallic box situated in Abu Dhabi held the title of the world's best chess player. Known as Hydra, this compact supercomputer consisted of a cabinet packed with high-performance processors and custom-built chips, interconnected by fiber-optic cables and connected to the internet.
During a period where chess served as the primary battlefield for AI versus human contests, Hydra's achievements momentarily ascended to legendary status. The New Yorker detailed its rising creativity in an in-depth 5,000-word article; WIRED labeled Hydra as “formidable”; and chess magazines described its triumphs using the intense language typical of wrestling broadcasts. According to these accounts, Hydra was a “colossal machine” that “gradually suffocated” human grand masters in competition.
Consistent with its monstrous persona, Hydra exemplified uniqueness and isolation. Unlike its contemporaries, which operated on standard personal computers and were accessible for public download, Hydra's formidable capabilities were anchored to a 32-processor cluster, exclusive to a single user at any given moment. By the mid-year of 2005, this exclusivity had grown to such an extent that even Hydra's own creators found themselves vying for opportunities to engage with their brainchild.
The reason behind this is the group's benefactor—a 36-year-old man from the UAE who had employed them and financed Hydra's advanced equipment—was occupied with enjoying his gains. In a 2005 post on a chess forum online, Hydra's lead designer from Austria, Chrilly Donninger, referred to this supporter as the most passionate enthusiast of computer chess in existence. "The financier," he mentioned, "is fond of engaging with Hydra in games all day and night."
Using the pseudonym zor_champ, the sponsor from the UAE would participate in internet chess competitions, teaming up with Hydra to form a duo of human and AI. This combination frequently led to them overwhelming their opponents. An engineer shared with me, “He was fascinated by the synergy between human and technology. His passion was in securing victories.”
Over time, Hydra was surpassed by rival chess machines and its production ceased in the late 2000s. However, zor_champ emerged as a highly influential yet enigmatic figure globally. He is actually Sheikh Tahnoun bin Zayed al Nahyan.
Sporting a beard and often found wearing dark shades, Tahnoun holds the position of national security adviser for the United Arab Emirates, serving as the top intelligence official for one of the globe's richest and most keen on surveillance small countries. He is also the younger sibling of the nation's ruler who governs with absolute power, Mohamed bin Zayed al Nahyan. However, what sets him apart, especially for someone in his line of work, is his authority over a significant portion of Abu Dhabi's enormous sovereign wealth. According to a report by Bloomberg News from the previous year, he manages an empire valued at $1.5 trillion, an amount that surpasses the wealth controlled by nearly any other individual worldwide.
Tahnoun's unique persona blends elements of a Gulf monarchy member, a health-conscious technology entrepreneur, and a character reminiscent of a villain from a James Bond movie. He oversees an expansive technology empire known as G42, named after the iconic answer to life's ultimate question in "The Hitchhiker’s Guide to the Galaxy," where "42" represents the ultimate answer from a supercomputer. This conglomerate is deeply involved in various sectors, including artificial intelligence and biotech, with a particular emphasis on government-backed cyber espionage and surveillance technologies. Tahnoun has a deep passion for Brazilian jiujitsu and cycling, often seen wearing sunglasses even indoors due to light sensitivity, and is frequently in the company of UFC champions and experts in mixed martial arts.
A business professional and a security expert, both of whom have had meetings with Tahnoun, shared that gaining an audience with him involves navigating through his trusted inner circle. Should one manage this, an opportunity to converse may arise while accompanying the sheikh on a ride around his personal velodrome. The security expert mentioned that Tahnoun dedicates considerable time to relaxation in a sensory deprivation tank and has invited wellness expert Peter Attia to the UAE for advice on extending his lifespan. A business figure who attended the conversation revealed that Tahnoun has even motivated Mohammed bin Salman, the influential crown prince of Saudi Arabia, to reduce his consumption of junk food and embark on a journey with him aiming for a lifespan of 150 years.
In recent times, Sheikh Tahnoun's focus has shifted significantly. What once was a passion for chess and technology has evolved into a grander ambition: a $100 billion initiative aimed at positioning Abu Dhabi as a leading force in artificial intelligence. This time, his acquisition target is none other than the tech sector of the United States itself.
In the strategic game of the global AI competition, the United States currently leads, primarily due to a straightforward factor. Nvidia, a hardware company based in the US, produces the processors essential for developing the most advanced AI technologies. Furthermore, the US has implemented regulations to limit the export of these crucial Nvidia GPUs (graphics processing units) beyond its borders. To capitalize on this precarious yet significant advantage over China, the leaders of the largest AI corporations in the US have embarked on a global campaign, engaging with the wealthiest investors worldwide, including figures like Tahnoun, to secure funding for what is essentially a massive expansion effort.
Beneath the surface of every digital voice and automated response lies a massive, buzzing data warehouse: Countless towering racks of server cabinets, neatly organized and operating at energy levels significantly higher than typical online searches. Behind these, yet another layer of data centers exists, dedicated to the development of basic AI frameworks. To meet the growing needs, AI enterprises are in constant pursuit of additional data storage facilities worldwide, requiring not just space, but also water for cooling, electricity for operation, and semiconductors for functionality. Nvidia's CEO, Jensen Huang, has forecasted an investment of one trillion dollars by technology firms into new AI infrastructure within the coming five years.
The development of the upcoming stage of artificial intelligence is anticipated to demand staggering quantities of funding, property, and power. The Gulf States, rich in oil and energy resources, have these necessities in abundance. In recent times, Saudi Arabia, Kuwait, and Qatar have established significant funds dedicated to AI investments. Among these, the United Arab Emirates stands out as a highly appealing collaborator for several reasons, including its vast financial resources, its freshly inaugurated nuclear power facilities, and the advanced state of its AI industry.
However, there's a complication: Engaging in AI collaboration with the UAE inevitably means dealing with Sheikh Tahnoun directly or indirectly—and for an extended period, his key tech alliances have predominantly been with Chinese entities.
The collaboration seemed inevitable, considering Tahnoun's background as an intelligence director with significant investments in advanced surveillance technology. Throughout the early 2020s, Tahnoun cultivated strong connections with China, both commercially and personally, leading to the point where G42's products were almost identical to those from China. Specifically, a G42 offshoot named Presight AI offered surveillance software to global police departments that closely mirrored the technology used by Chinese police forces. Furthermore, the influence of Huawei, a leading Chinese telecommunications firm, on G42 was profound. At the onset of the rapid development in generative AI, Huawei’s technicians had unrestricted access to Abu Dhabi’s most critical tech installations, where they played a key role in developing extensive AI training facilities.
In August 2023, the United States imposed significant restrictions, limiting the export of Nvidia graphics processing units (GPUs) to the Middle East, a crucial move that impacted Abu Dhabi's aspirations in artificial intelligence, as these were the components they needed most. Additionally, any company utilizing Huawei technology was barred from receiving these exports. In response, Tahnoun made a decisive shift. By the beginning of 2024, G42 declared it was cutting off its relationship with China and would remove all Chinese-made technology. Following this announcement, Chinese citizens started to leave the tech industry in Abu Dhabi discreetly.
During this period, leaders from the US and UAE engaged in an intense period of mutual flattery and alliance-building. A large contingent of PR experts, legal advisors, and lobbyists from the Washington, D.C. area were mobilized to depict Tahnoun as a reliable partner for the US, especially in terms of handling technology and earning trust. Marty Edelman, the emirate's most relied upon American legal advisor, directed this campaign from New York. The UAE's envoy to the US, Yousef Al Otaiba, used his significant influence to endorse Tahnoun. At the same time, figures from the US government and technology sector worked to attract a substantial influx of investment from the UAE to American AI startups, seeking to capitalize on the financial opportunities it presented.
An unexpected indicator of an agreement between two parties emerged when, in a surprising twist, a transaction occurred in the reverse direction. As part of a distinctive deal facilitated primarily by representatives from the Biden administration, Microsoft disclosed in April 2024 its decision to invest $1.5 billion into Tahnoun’s G42, thereby obtaining a minority ownership in the entity. A Biden administration official involved in guiding the deal stated the goal was to encourage G42 to collaborate with Microsoft as a Huawei alternative. In the initial stage of this partnership, G42 would be granted access to Microsoft's artificial intelligence capabilities through its Azure cloud service, operating from a data center within the UAE. Furthermore, Brad Smith, the president of Microsoft, would take up a position on G42’s board, serving as a sort of American oversight presence within the firm.
The substantial financial inflows from the UAE were yet to materialize, as was the delivery of Nvidia chips to Abu Dhabi. However, the agreement with Microsoft was effectively an endorsement from the US government, encouraging more business engagements with the Emirates. In the summer of 2024, Tahnoun launched a diplomatic tour across the United States, which included a visit to Elon Musk in Texas and a jiujitsu practice session with Mark Zuckerberg. He then rapidly met with other tech giants such as Bill Gates, Satya Nadella, and Jeff Bezos. But the most crucial discussions took place at the White House, involving key figures like Jake Sullivan, the national security adviser, Gina Raimondo, the Commerce secretary, and even President Joe Biden.
Efforts to reshape the perception of Tahnoun and G42 were escalating, just as the United States appeared ready to ease restrictions on the export of sophisticated chips to the UAE. This move, however, met with urgent concerns from some members of the US national security community. They worried that this could lead to the transfer of American intellectual property to China. "The Emiratis are experts at playing both sides," a former high-ranking US security official confided. "The big question on everyone's mind is whether they're doing exactly that." In a July public statement, US Representative Michael McCaul, who leads the House Foreign Affairs Committee, advocated for the implementation of "far stronger national security measures" on the UAE prior to any sensitive technological exports from the US.
Another concern revolves around the United Arab Emirates (UAE) itself, a nation which shares similarities with Beijing in its ambition to deploy AI for governmental oversight. Eva Galperin, the cybersecurity director at the Electronic Frontier Foundation, highlights the UAE's reputation for authoritarian governance, poor human rights practices, and its track record of leveraging technology to monitor activists, journalists, and political opponents. Galperin expresses certainty regarding the UAE's intentions to steer AI evolution in a direction that benefits authoritarian regimes rather than supporting democratic principles or universal human values.
During the same period over the summer when Tahnoun was making his rounds through various American martial arts studios and corporate boardrooms, Mohammed bin Salman, the Saudi Arabian crown prince, was entertaining top minds in technology at his sprawling hunting reserve in South Africa, known as Ekland. This gathering included notable figures like ex-Google CEO Eric Schmidt. Their time was spent exploring wildlife reserves, enjoying the services of personal butlers, and engaging in conversations about how Saudi Arabia could shape the future of artificial intelligence.
Shortly afterwards, Schmidt visited the Biden administration to express his worries about America's inability to generate sufficient power for AI competition. He proposed enhancing economic and commercial connections with Canada, which is abundant in hydroelectric resources. In a video conference with Stanford students the next week, he mentioned, "The other option is to let the Arabs invest in [AI].” He added, “Personally, I have nothing against the Arabs… However, they won't follow our national security guidelines.”
Worries about the Gulf States' dependability as partners (along with their inclination towards controversial actions such as attacking journalists and initiating wars through proxies) have not halted their investments into American technology firms. At the beginning of the year, Saudi Arabia's sovereign Public Investment Fund revealed a $40 billion initiative dedicated to AI investments, supported through a strategic collaboration with the Silicon Valley-based venture capital firm Andreessen Horowitz. Additionally, Kingdom Holding, managed by a Saudi royal closely aligned with the crown prince, has become one of the largest stakeholders in Elon Musk’s venture, xAI.
The New York Times has reported that Saudi Arabia became the top global investor in artificial intelligence thanks to a new fund. However, this status was soon surpassed in September when the United Arab Emirates took the lead. Abu Dhabi unveiled MGX, an AI investment initiative collaborating with major entities like BlackRock, Microsoft, and Global Infrastructure Partners. This partnership aims to invest over $100 billion in various projects, including the establishment of a broad network of data centers and power facilities throughout the United States. MGX, which falls under Tahnoun's sovereign wealth collection, is also said to be in preliminary discussions with OpenAI's CEO, Sam Altman. These talks focus on an ambitious plan, valued between $5 to $7 trillion, to develop a chipmaking enterprise. This venture seeks to offer an alternative to the limited supply of Nvidia's GPUs.
Funds from the United Arab Emirates were now readily flowing. Following the announcement from MGX, it was shortly reported by the news outlet Semafor that the US had authorized Nvidia to conduct GPU sales to G42. It was noted that some of these processors were already in use in Abu Dhabi, with reports highlighting a significant purchase of the Nvidia H100 models. This development indicated that the US had provided Tahnoun with the essential technology needed to advance his ambitious project, Hydra. This situation brings to the forefront two critical inquiries: What strategy is Sheikh Tahnoun employing this time around? And what means did he use to amass such considerable wealth?
At its core, virtually every narrative involving Gulf royalty revolves around the theme of inheritance. It's about dynastic families safeguarding against outside dangers, and the familial conflicts that arise in the scramble for power that comes with succession.
Tahnoun and Mohamed, siblings, are the offspring of Zayed bin Sultan al Nahyan, the inaugural president of the UAE, a legendary leader cherished as the nation's founding father.
Throughout his early years, the area now known as Abu Dhabi was primarily a modest, seasonal fishing community characterized by its severe weather conditions, limited fresh water sources, and a transient population of around 2,000 individuals. The wider emirate was home to several thousand additional Bedouin residents. The ruling al Nahyan family received payments in the form of tributes and taxes, overseeing the emirate's communal assets. Their way of life wasn't significantly different from that of their fellow tribespeople. However, leadership came with its risks. Before Zayed's time, two out of the last four leaders of Abu Dhabi had met their end through fratricide, while another was eliminated by an opposing tribe.
In 1966, with the support of the British and amidst the influx of newfound oil wealth into Abu Dhabi, Zayed took over leadership from his elder brother through a peaceful coup. Unlike his brother, who was hesitant to use Abu Dhabi's burgeoning wealth, Zayed was open to progress and innovation. He had a forward-looking goal of bringing various tribes together within one nation, laying the groundwork for the establishment of the United Arab Emirates in 1971.
At the time of the United Arab Emirates' establishment, Tahnoun was nearing his third birthday. As one of the approximately twenty sons of Zayed, Tahnoun holds a special position as part of the Bani Fatima group—this refers to the six sons born to Zayed's preferred wife, Fatima, who are considered his primary successors. Zayed had a vision for these sons, encouraging them to explore the world and prepare themselves to lead the UAE into its future. While he was instrumental in ensuring the distribution of the newfound oil wealth among the Bedouins of Abu Dhabi, Zayed directed his children away from engaging in business ventures for personal gain. This approach likely stemmed from a desire to avoid the turmoil of assassinations and coups that marked the region's history, aiming to dispel any notion that the al Nahyan family was exploiting their guardianship of the nation for personal advantage.
In the mid-90s, Tahnoun arrived in Southern California. In 1995, he entered a Brazilian jiujitsu training center in San Diego, seeking instruction. He presented himself as "Ben" and, as reported by Brazilian Jiu-Jitsu Eastern Europe’s website, he made a concerted effort to demonstrate modesty, often arriving before others and assisting in tidying up the place. It was only after some time that he disclosed his true identity as a prince from Abu Dhabi.
In the late 1990s, as Zayed's health declined, his sons started to assume more significant responsibilities and ventured into entrepreneurship, diverging from his directives. During this period, Tahnoun established his inaugural holding company, the Royal Group, which he utilized to develop the Hydra chess computer. Additionally, he founded a robotics firm that created REEM-C, a humanoid robot named after an Abu Dhabi island where he had invested in various real estate projects.
Upon Zayed's passing in 2004, Tahnoun's older brother, Khalifa, ascended to the leadership of Abu Dhabi and assumed the presidency of the UAE, while Mohamed, the most senior among the Bani Fatima siblings, was appointed crown prince. The remaining brothers were granted various formal titles, though their exact duties remained somewhat unclear.
Between 2008 and 2011, while working as a reporter in Abu Dhabi, I developed an interest in "sheikh watching," akin to the study of Soviet policies and practices but focused on Gulf royalty. This hobby involved analyzing official statements and actions closely and maintaining connections with those inside the royal palaces who would sometimes share confidential information. During this period, Tahnoun appeared to be an intriguing figure, seemingly distant from any real authority. He didn't hold any significant governmental position and appeared to be more concerned with expanding his wealth, exploring technology ventures, and transforming Abu Dhabi's cityscape.
Everything transformed when Tahnoun emerged as the family member most adept at utilizing a burgeoning instrument for nation-states: cyberespionage.
In July 2009, numerous BlackBerry owners in the UAE experienced their devices overheating severely. This issue was traced back to what was initially described as a “performance enhancement” update by Etisalat, the leading telecommunications service in the UAE. However, it was later revealed to be spyware—a preliminary attempt at widespread surveillance that failed dramatically after BlackBerry’s parent company unveiled the plot.
On a journey from Abu Dhabi to Dubai, I personally encountered a moment that opened my eyes to the UAE's covert authoritarian regime. Holding my BlackBerry to my ear, it was scorchingly hot, almost scalding my skin. This incident marked my first tangible experience with the underlying surveillance state of the UAE. However, the signs of its presence are noticeable to anyone who has spent significant time in the Gulf States. There's hardly any violent crime, and life appears serene and often opulent. Yet, in times of tension or danger, these nations can swiftly turn into perilous environments, particularly for those who even subtly challenge the status quo.
The Arab Spring uprisings in 2011, which led to the downfall of four Middle Eastern rulers due to large protests coordinated via Twitter, only intensified the determination of the UAE to suppress any emerging democratic movements. In 2011, when several activists from the UAE lightly pushed for political change and human rights, the government found them guilty of insulting the royalty. They were quickly forgiven and set free, only to be subjected to constant monitoring and intimidation thereafter.
Despite lacking proof of Tahnoun's direct participation in the BlackBerry incident, his subsequent role would see him at the helm of an organization with the capability for much more advanced espionage. By 2013, he had ascended to the position of deputy national security adviser, a period coinciding with the United Arab Emirates' efforts to intensify surveillance on both its citizens and adversaries on a massive scale.
For many years by that time, the UAE had been covertly operating a program dubbed Project Raven, which was initiated in 2008 through an agreement with consultant and ex-US counterterrorism chief Richard Clarke. The project received approval from the US National Security Agency, with the objective of providing the UAE with cutting-edge surveillance and data analysis tools to aid in counterterrorism efforts. However, around 2014, Project Raven shifted direction. Now under the leadership of an American firm named CyberPoint, the project began attracting numerous ex-US intelligence officials with an enticing offer: tax-exempt salaries, allowances for housing, and the opportunity to continue their battle against terrorism.
Combatting terrorism was actually just a portion of the overall plan. Within a span of two years, control of the project shifted once more, this time to a corporation known as Dark-Matter, essentially a firm owned by the Emirati government. Leadership within Emirati intelligence took Project Raven directly under their wing, situating it merely two floors away from the UAE’s counterpart to the NSA. This move sent a clear directive to the employees of Project Raven: they had to either sign on with DarkMatter or exit the project.
For the individuals who continued their work, their responsibilities involved monitoring reporters, activists, and anyone else considered a threat to the government or the royal family. Marc Baier, a former member of the NSA’s prestigious Tailored Access Operations unit, was among the prominent American experts who persisted in their roles with DarkMatter. Subsequent emails revealed Baier in discussions with the Italian cybersecurity company Hacking Team, where he referred to his UAE clients as being highly influential and insisted on VIP treatment while seeking out espionage software. Meanwhile, other ex-NSA cyber experts part of the Project Raven crew dedicated their efforts to crafting specialized cyber attacks tailored for certain devices and user accounts.
In 2016, authorities infiltrated the personal space of Ahmed Mansoor, a prominent figure advocating for democratic reforms in the UAE during the Arab Spring, by exploiting his child's baby monitor. Mansoor had become accustomed to odd occurrences with his electronic devices, including overheating phones, peculiar text messages, and unexplained withdrawals from his bank accounts, as shared by someone close to him. His phone had also been previously compromised by Pegasus, a notorious surveillance tool developed by the Israeli firm NSO Group. However, the breach involving his baby monitor marked a new invasion of his privacy. Unbeknownst to Mansoor, agents from DarkMatter were using this device to eavesdrop on intimate family discussions.
In a separate initiative, DarkMatter put together a specialized group it referred to as a “tiger team.” This team's mission was to deploy widespread surveillance equipment in public areas. According to an Italian cybersecurity expert who DarkMatter attempted to recruit in 2016, these devices would have the capability to intercept, alter, and reroute the local mobile network traffic in the UAE. “For these devices to function according to our expectations, they need to be installed throughout,” Simone Margaritelli, the candidate being pursued, was informed via email during the recruitment phase.
Who was in command of these operations? By the beginning of 2016, Tahnoun had taken up the role of national security adviser, thereby assuming full responsibility for the UAE's intelligence operations. Indications suggest that the entity ultimately directing DarkMatter's operations was, in fact, Tahnoun's own investment company, the Royal Group.
Over time, it seems I too fell into the crosshairs of the UAE's surveillance operations. In 2021, a group of journalists under the banner of the Pegasus Project revealed to me that in 2018, the UAE had attempted to infiltrate my phone using Pegasus spyware. This was during a period when I was investigating a worldwide financial controversy involving a figure from the Abu Dhabi royal family—Mansour, who is Sheikh Tahnoun’s sibling. The UAE, however, refuted claims of having singled out many of the individuals pointed out, myself included.
Tracking and hacking American nationals ultimately crossed a moral boundary for certain ex-intelligence operatives involved in Project Raven. "I find myself employed by a foreign intelligence entity that's focusing on US citizens," Lori Stroud, a whistleblower from Project Raven, revealed to Reuters in 2019. "I've essentially become the undesirable type of spy."
The subsequent controversy led to the indictment of multiple former NSA executives, Baier among them, by US authorities. In the aftermath, DarkMatter and Project Raven were meticulously dismantled, dispersed, underwent rebranding, and were absorbed into various companies and governmental agencies. A significant portion of their components and staff were consolidated into a newly established organization in 2018, known as G42.
G42 has openly refuted any links with DarkMatter, yet the connections are quite evident. For example, a subsidiary of DarkMatter, known for its close ties with Chinese firms, seemed to later integrate into G42. Moreover, Peng Xiao, who led this subsidiary, ascended to the position of CEO at G42.
Xiao, a fluent Chinese communicator who pursued a degree in computer science from Hawaii Pacific University, remains largely a mystery beyond these details. Previously a US citizen, he later traded his American nationality for that of the UAE, a highly uncommon feat for someone not originally from the Emirates. Working for a branch of G42 known as Pax AI, Xiao played a key role in advancing the heritage of DarkMatter into its next phase.
In 2019, a bright notification appeared on countless phones throughout the United Arab Emirates. ToTok, a newly launched messaging application, offered unfettered calling services, a feature that WhatsApp and other chat applications could not provide due to restrictions in the country. Rapidly, ToTok climbed the charts, becoming a top download not just in the UAE but also globally on both Apple and Google's app stores. However, there was a significant downside. By using the app, individuals unwittingly allowed it complete access to their device's contents, including photos, text messages, camera, voice calls, and even their location.
Millions of phone data entries were channeled to Pax AI. Previously, DarkMatter had also functioned out of the same premises as the intelligence services of the UAE. The creation of the ToTok app was a joint effort involving Chinese technical experts. For a government that had heavily invested in the NSO Group's Pegasus surveillance software and the cyber infiltration capabilities of DarkMatter, ToTok represented a straightforward approach. Instead of painstakingly selecting individuals for surveillance, users were voluntarily installing the software themselves.
Officials from ToTok strongly refuted claims that their application functioned as spyware. However, an engineer employed by G42 at the time shared with me that every piece of communication, including voice, video, and text messages, underwent analysis by artificial intelligence to detect what was deemed as suspicious activities by the government. One of the quickest ways to attract attention was to make calls to Qatar, which at the time was engaged in a cyber conflict with the UAE, from within the UAE itself. G42 chose not to provide specific comments on this matter but issued a general statement to WIRED, affirming, "G42 is deeply committed to the principles of responsible innovation, ethical governance, and the global advancement of AI technologies."
At G42, employees occasionally nickname Tahnoun "Tiger," and his directives can quickly alter the direction of the company. A past engineer recalls that Tiger once demanded the creation of either a $100 million revenue-generating business or a technology that would bring him fame. It's evident that the conglomerate is closely linked to the security apparatus, given that much of its tech and data operations are situated within Zayed Military City, an area with limited access. Furthermore, all employees at G42 must undergo security screenings before being employed.
Under the auspices of G42, alongside state intelligence agencies and various cybersecurity organizations, Tahnoun had essentially assumed command of the entire hacking operations within the UAE. However, there came a time when merely having authority over the nation's espionage infrastructure and its associated market did not satisfy Tahnoun's ambitions.
As the decade approached its end, Tahnoun was eyeing a greater role in the political landscape across the Emirates. His brother Mohamed had effectively been at the helm of the nation, stepping in for their brother, President Khalifa, who had been incapacitated by a significant stroke in 2014. With Khalifa’s health deteriorating and Mohamed's official rise to power on the horizon, the battle for the title of the next crown prince was underway.
Periods of uncertainty regarding succession can pose significant risks. In the case of Saudi Arabia, the lineage of Abdulaziz al-Saud, the nation's founder, has seen his sons ascend to the throne in succession since the 1950s. By the time Salman ascended to the throne in 2015 at the age of 80, there was a dense and complicated web of potential successors, marked by corruption and fraught with internal discord. It was against this backdrop in 2017 that King Salman's son, Mohammed, commonly referred to as MBS, took decisive action to consolidate his power. He did so by orchestrating a crackdown that targeted primarily his cousins and their close associates, effectively sidelining his competition and establishing himself as the predominant authority.
In Abu Dhabi, during discussions on who should succeed the throne, those close to the royal family reveal that Tahnoun advocated for the tradition that Zayed's sons should continue to govern as long as they were physically fit and mentally sharp. This stance positioned him as a potential candidate. However, Mohamed firmly believed that his son Khalid should be appointed as the crown prince, indicating to the nation's significant younger demographic that their interests were being considered at the highest levels of government.
For over a year, Tahnoun made his case, even showing proof that Mohamed's strategy went against their father's wishes for who should follow him. Eventually, the siblings reached an agreement. Tahnoun decided to give up his aspirations of becoming the crown prince or leader, in return for significant control over the nation's economic assets. This agreement eventually positioned him at the helm of managing $1.5 trillion in sovereign wealth.
In 2023, Tahnoun was appointed as the chairman of the Abu Dhabi Investment Authority, the most significant sovereign wealth fund in the nation. A few weeks following this, Khalid was named the crown prince.
Formally, Tahnoun was slightly elevated in rank to serve as deputy ruler alongside his brother Hazza. However, individuals who have interacted with Abu Dhabi in recent years consistently report a significant expansion in Tahnoun's authority, extending beyond the realm of finance. He has assumed responsibility for diplomatic engagements with Iran, Qatar, and Israel, and at one point managed relations with the United States during a period of cooling ties with the Biden administration. “Tahnoun is the go-to person for challenging issues,” notes Kristian Coates Ulrichsen, a Gulf politics expert at Rice University's Baker Institute for Public Policy. According to Ulrichsen, this capability has substantially bolstered his influence.
Tahnoun has utilized newly acquired resources to expand his intricate network of investments and business entities. He presides over the Royal Group, which encompasses not only G42 but also the expansive International Holding Company. This latter entity, a significant conglomerate, provides employment for over 50,000 individuals and has a diverse portfolio that includes a copper mine in Zambia and the prestigious St. Regis golf club and island resort located in Abu Dhabi. Additionally, Tahnoun is at the helm of the First Abu Dhabi Bank, the premier banking institution in the UAE, and manages another colossal sovereign wealth fund known as ADQ.
Now, as Tahnoun's influence expands in the worldwide competition over artificial intelligence, his domain also encompasses a share in humanity's destiny.
In December, it was announced by the United States government that it had granted permission for certain Nvidia graphics processing units (GPUs) to be shipped to the United Arab Emirates, intended for a facility operated by Microsoft within the nation. Within G42, several branches have continued to expand: Space42 is dedicated to employing artificial intelligence for the examination of satellite imagery, while Core42 is set on establishing extensive AI data centers throughout the desert regions of Abu Dhabi.
Within the circles of US national security, there's a growing concern over the deepening ties between America's technological sector and the United Arab Emirates. A troubling revelation from a former security official highlighted that China's silence on the UAE's decision to dismantle all Huawei equipment and end its relationship with the firm in 2023 was peculiar. "They didn’t make any objections," the former official shared. This reaction starkly contrasts with China's response to Sweden's exclusion of Huawei and ZTE from its 5G network in 2020, which prompted vocal criticism from the Chinese government and led to significant losses for Sweden's Ericsson in the Chinese market. This indifferent stance from China regarding the UAE's shift away from Huawei, as seen through the lens of G42's split from China, hints at a possible secretive agreement between the UAE and China, the official speculated.
In comments made to WIRED, American lawmaker Michael McCaul repeated his worries about the potential for technology transfer to China via the UAE's agreement with Microsoft, emphasizing the importance of stricter safeguards. "Prior to moving forward with this collaboration and similar ones, the US needs to put in place strong, enforceable measures that are widely applicable to AI collaborations with the UAE," he stated.
Yet, even with such protective measures implemented, the UAE has demonstrated a knack for circumventing restrictions to achieve its objectives. This brings to mind the period in the early 2010s when top officials from Israel's NSO Group held briefings with reporters, confidently stating that their Pegasus spyware included protections to prevent misuse. They assured that clients of Pegasus, including the UAE, would be restricted from targeting phone numbers from the US and UK (such as my own). It also recalls the initial approval the NSA granted to Project Raven.
The expectation is that under Donald Trump's leadership, restrictions on exporting GPU chips will persist. However, individuals close to Tahnoun believe the new government may adopt a more lenient stance towards the United Arab Emirates' aspirations in artificial intelligence. Furthermore, there's a notable connection within Trump's circle to the UAE: Jared Kushner's private equity firm has received over $2 billion in contributions from the UAE, Qatar, and Saudi Arabia, securing the firm between $20 million and $30 million in yearly management fees. High-ranking officials from Abu Dhabi have sought advice from Kushner and other key figures from Trump's era, such as ex-Secretary of State Mike Pompeo, on AI strategy, as reported by those in the know.
The sustained availability of GPUs may still serve as a bargaining chip for the US, but its influence might diminish as competing processors advance. Certain experts contend that the effectiveness of export restrictions is overestimated by US policymakers. “AI doesn't resemble nuclear energy in terms of how you can limit access to essential components,” notes cybersecurity specialist Bruce Schneier. According to him, AI technology is widespread, and the notion that US firms hold a significant and definitive lead is illusory.
Tahnoun has effectively positioned himself as a pivotal investor in the forefront of the Artificial Intelligence sector, having been integrated into influential circles. This move not only grants him significant influence but also places him in a favorable position with entities that continuously seek financial backing from the UAE. During a World Government Summit the previous year, Sam Altman proposed that the UAE has the potential to act as a global "regulatory sandbox" for AI, offering a unique environment where innovative regulations for managing the technology could be developed, experimented with, and refined.
At present, the Middle East may be on the brink of a phase, reminiscent of the period following the Arab Spring, where traditional norms may no longer apply. With the rebel forces overtaking Syria, previously under the control of Bashar al Assad, nations in the Gulf, particularly the UAE, are expected to ramp up their surveillance efforts to prevent the spread of Islamist movements. "We are likely to witness an increase in oppressive measures and a greater reliance on surveillance technology," notes Karen Young, a distinguished fellow at the Middle East Institute in Washington. In the arena of addressing threats and mastering strategic maneuvers, Tahnoun is determined to ensure he's equipped with the most formidable apparatus available.
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Magnetic Navigation Offers a Solution to GPS Vulnerabilities
High above us, clusters of satellites tirelessly operate to support the systems essential for the smooth operation of contemporary society. These systems, collectively referred to as the global navigation satellite system (GNSS), emit signals critical for the functioning of cellular networks, power distribution networks, online services, and GPS. However, the reliability of these systems is increasingly at risk.
GPS transmissions are vulnerable to being overwhelmed by stronger radio frequencies in a process known as jamming, as well as being deceived through the release of false signals, a tactic referred to as spoofing. Such disruptions to GPS functionality have been recorded in regions including Ukraine, the Middle East, and the South China Sea.
Startup SandboxAQ is of the opinion that integrating artificial intelligence with MagNav, navigation systems that utilize Earth's magnetic field, could offset the risks posed to GNSS. "Our innovation doesn't substitute [GNSS], but it enhances current navigation systems, boosting safety and acting as a backup main navigation option during GPS disruptions," states Luca Ferrara, the head of SandboxAQ's navigation unit.
The equipment for AQNav.
SandboxAQ's AQNav system employs quantum magnetometers, which are instruments capable of detecting minute variations in magnetic fields through observation of subatomic particles, to generate an analysis of the Earth's magnetic field. "Our goal is to identify the distinct signatures of magnetized geological structures within the Earth's crust," explains Ferrara.
Artificial intelligence is employed to precisely determine an aircraft's location by comparing it against established magnetic field maps. This AI technology also filters out any disturbances caused by the aircraft itself, including those from abrupt maneuvers or the aircraft's electrical components; each aircraft exhibits distinct patterns of magnetic disturbance.
Up to this point, the United States Air Force, along with companies Boeing and Airbus, have conducted trial runs with the technology in question. Ferrara notes, "From May 2023 onwards, we've rolled out and evaluated various versions of our equipment and programs." The AQNav system has covered hundreds of kilometers in flight, being installed in a range of planes from small, single-engine models to extensive military cargo planes. It has undergone practical testing conditions, notably during two significant military drills carried out by the US Air Force.
The concept and team behind SandboxAQ were cultivated at Alphabet, the parent organization of Google, during the period from 2016 to 2022. The foundational goal was to explore uses for artificial intelligence and quantum technologies that had been created in Google’s innovative lab known as the moonshot factory.
In 2022, SandboxAQ emerged as an independent entity from Alphabet, with founder and CEO Jack Hidary steering the company towards serving various industries in need of advanced AI technologies. According to Ferrara, the company's expertise extends beyond aerospace and navigation. "We're also seeing significant progress in life sciences, chemistry, materials science, financial services, cybernetics, among other fields," he notes.
SandboxAQ's AQNav installed on a C17 military plane.
Currently, the AQNav technology is not prepared for commercial release. The challenges remaining include its integration with current platforms and crafting a system that can reliably work on a worldwide basis. In particular, the software's dependability requires enhancement, and its signal-processing capabilities must be effective across diverse environmental settings. Moreover, the system has to meet global aviation regulations. "Given that AQNav is still in the developmental phase and hasn't reached the precision and accuracy of contemporary GNSS, it currently serves better as a safety mechanism for aviation, enhancing traditional navigation systems," Ferrara states.
Over time, he envisions that this technology will be extensively adopted for both military and civilian flight purposes. Recent findings from the International Air Transport Association and the European Union Agency for Aviation Safety highlight a significant rise in GPS disruptions and deceitful signals. “With the progression of aircraft automation, the susceptibility of GNSS to threats is expected to escalate. Hence, this innovation is considered crucial for enhancing current air safety and could potentially expand operational range in the future.” Industries related to maritime operations and drone production have indicated their requirements that could be satisfied through tailored versions of the AQNav. “Furthermore, the application of this technology in the automotive and railway sectors presents exciting opportunities to be investigated later on,” Ferrara remarks.
This narrative was first published in Wired Italia and has been converted from Italian.
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Revolutionizing the Future: The Top AI Innovations Transforming Our World, from Davinci-AI.de to AI-AllCreator.com and More
TL;DR: Leading the forefront of technological innovation, Artificial Intelligence (AI) is revolutionizing various sectors with platforms like Davinci-Ai.de, showcasing creativity and problem-solving with deep learning neural networks and cognitive computing. AI-AllCreator.com leverages AI algorithms for versatile solutions in content creation and predictive analytics, while Bot.ai-Carsale.com transforms the automotive industry with autonomous systems and smart technology. These platforms highlight the top advancements in AI, including machine learning, data science, and robotics automation, demonstrating AI's potential in augmenting human capabilities, enhancing industries, and paving the way for a future powered by intelligent systems and big data.
In an era where the fusion of technology and intelligence is reshaping the boundaries of what's possible, Artificial Intelligence (AI) stands at the forefront of this revolutionary wave. Simulating human intelligence through advanced computer systems, AI has become the cornerstone of innovation, driving progress in fields as diverse as healthcare, finance, automotive, and beyond. From learning and reasoning to problem-solving and decision-making, AI's capabilities are not just enhancing but often surpassing traditional human tasks through its subfields including machine learning, natural language processing, computer vision, and robotics. This article delves into the heart of AI's transformative power, exploring the top AI innovations that are setting the stage for a future where technology is not just a tool but a partner in every aspect of human life. Our journey will take us from the groundbreaking platforms of Davinci-AI.de to the comprehensive solutions of AI-AllCreator.com, and beyond, uncovering how these and other AI technologies are revolutionizing industries. Whether it's through the precision of AI Algorithms, the insight of Predictive Analytics, the vast potential of Big Data, or the autonomy of Smart Technology, these innovations exemplify the pinnacle of Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing, Robotics, Automation, Cognitive Computing, Data Science, Intelligent Systems, Computer Vision, Neural Networks, Augmented Intelligence, and more. Prepare to be amazed by the capabilities of bot.ai-carsale.com and how AI is making autonomous systems and smart technology more accessible and impactful than ever before. Through this exploration, it becomes clear that AI is not just changing the game; it's creating entirely new playing fields in Pattern Recognition, Speech Recognition, and beyond.
1. "Exploring the Top AI Innovations: From Davinci-AI.de to AI-AllCreator.com, and Beyond"
In the rapidly evolving world of technology, Artificial Intelligence (AI) stands at the forefront, driving innovations that once seemed confined to the realm of science fiction. Among these advancements, certain platforms and technologies have carved their names into the annals of AI development, showcasing the vast potential and versatility of AI. From the sophisticated algorithms of Davinci-Ai.de to the comprehensive solutions offered by AI-AllCreator.com, the landscape of AI innovation is both broad and deeply specialized.
Davinci-Ai.de represents the pinnacle of AI in creativity and complex problem-solving. Utilizing deep learning neural networks, this platform exemplifies how AI can mimic and even surpass human intelligence in areas such as pattern recognition, natural language processing, and cognitive computing. The technology behind Davinci-Ai.de leverages the latest in artificial intelligence machine learning, enabling it to tackle tasks that require a high degree of creativity and innovation, from generating art to devising novel business strategies.
On the other hand, AI-AllCreator.com serves as a testament to the versatility of AI applications across different sectors. This platform harnesses the power of AI algorithms to cater to a wide array of needs, from content creation to predictive analytics. It stands as a beacon of how AI can be an all-encompassing solution provider, integrating data science, intelligent systems, and robotics automation to deliver tailored outcomes that meet the specific demands of users.
Moreover, the emergence of specialized AI platforms such as Bot.ai-Carsale.com underscores the role of artificial intelligence in revolutionizing industries like the automotive sector. By employing autonomous systems and smart technology, Bot.ai-Carsale.com is pioneering the future of self-driving cars and AI-driven sales processes, showcasing the transformative potential of AI in making transportation safer, more efficient, and accessible.
These platforms are merely the tip of the iceberg in a sea of AI innovation. They highlight the extensive applications of AI, from augmented intelligence enhancing human capabilities to autonomous systems reshaping industries. As AI continues to evolve, integrating advanced neural networks, speech recognition, and computer vision, its impact is set to expand even further.
The journey from Davinci-Ai.de to AI-AllCreator.com and beyond is a vivid illustration of how artificial intelligence, machine learning, and robotics are not just reshaping our present but also charting the course for the future. With each advancement, AI is not only achieving new feats in automation and cognitive computing but also paving the way for smarter technology that understands, learns, and adapts. As we stand on the brink of this AI-driven era, the potential for innovation is limitless, promising a future where AI seamlessly integrates into every facet of human life, making it smarter, safer, and more efficient.
In conclusion, the landscape of artificial intelligence (AI) is continuously evolving, pushing the boundaries of what machines can do and how they can augment human capabilities. From the innovative strides made by Davinci-AI.de in cognitive computing to the advanced solutions offered by AI-AllCreator.com, and not forgetting the niche advancements in sectors like automotive sales through bot.ai-carsale.com, AI's influence spans a broad spectrum. These platforms and technologies represent just the tip of the iceberg in a sea of AI innovations that include machine learning, deep learning neural networks, natural language processing, robotics, automation, and more. The integration of AI into various industries, from healthcare with its predictive analytics and medical diagnosis capabilities to finance with its big data analysis and financial forecasting, showcases the versatile and transformative power of artificial intelligence.
As we continue to explore and expand the capabilities of AI, we pave the way for a future where autonomous systems, smart technology, and intelligent systems become the norm rather than the exception. The potential for AI to revolutionize industries, enhance our decision-making processes, and improve our quality of life is immense. However, it also necessitates a thoughtful approach to the development and deployment of AI technologies, ensuring they are used ethically and responsibly. By harnessing the top AI innovations while being mindful of their implications, we can steer towards a future where AI not only augments human intelligence but also enriches human experience. The journey from Davinci-AI.de to AI-AllCreator.com and beyond is just the beginning of this exciting and uncharted voyage into the realms of artificial intelligence.
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AI Financial Advisers: Navigating the Tightrope Between Aid and Upsell for the Paycheck-to-Paycheck Generation
AI-Powered Financial Guidance Aims at the Young and Financially Strapped
Executives at AI firms frequently entice users (and backers) with visions of a future where AI mentors, equipped with insights from personal data and previous exchanges, assist individuals in reaching their grandest aspirations. Dreaming of a fitter lifestyle? An AI-crafted exercise plan is at your service. Looking to keep an eye on your health over time? There's an AI wellness application for you. Hoping to resolve financial difficulties? You have access to a variety of personal finance chatbots designed to help.
I aim to eliminate all my debts by the close of 2025, and in my role as a journalist frequently exploring new technologies, I became interested in experimenting with some of the AI-powered financial guidance applications that have become trendy lately. Opting for a personal financial advisor can be quite pricey, often running into the thousands, which is why an increasing number of individuals, particularly the younger demographic, are opting for AI-driven solutions for financial counsel. From the list of popular free finance applications on Apple's platform, I chose to test out two highly praised services that utilize chatbots designed to address financial difficulties: Cleo AI and Bright.
Cleo AI and Bright both recommend that users link their bank accounts via a third-party provider known as Plaid. This integration enables the chatbots to analyze spending patterns, assist in debt repayment, and facilitate credit improvement. "By leveraging your banking information and your interactions with us, Cleo aims to act as your advisor or mentor," explains Barney Hussey-Yeo, the CEO and founder of the company. "She's designed to offer pertinent advice and suitable financial products to enhance your financial decision-making."
Understandably, however, the advice provided by Cleo occasionally strayed off course. Despite having its captivating instances, such as a friendly critique pinpointing my excessive spending in non-essential areas, the AI tool appeared to be primarily focused on leveraging my personal information to suggest additional purchases. Bright exhibited similar behavior.
In an instance, I initiated a dialogue feigning melancholy due to insufficient funds for purchasing food essentials. Hussey-Yeo points out that Cleo primarily serves a younger audience who often find themselves barely making ends meet and experiencing significant financial distress more than the average person. Given this context, I assumed such topics were commonly discussed among users. The bot simulated compassion and quickly suggested I explore the possibility of securing a cash advance via the application.
Once Cleo confirmed I qualified for a cash advance, I was encouraged to enroll in a Cleo Plus membership, which costs $6 monthly. During my initial experience, the app allowed me to access a cash advance of up to $130, provided in two installments of $65 each over a span of two days. Although there is no mandatory fee for this advance if users opt to receive their funds within an estimated three to four business days, this waiting period can be challenging for individuals who rely on each paycheck to make ends meet and may divert attention from objectives like settling past debts.
Cleo proposed that I could receive the funds on the same day if I was willing to cover an express charge of $8. Consequently, this arrangement would require me to repay $73 approximately a week later for the cash advance. Initially, I decided against proceeding with the transaction, and in response, the app increased my credit limit to $200 the following day, divided into two portions of $100 each. Hussey-Yeo mentioned that cash advances contribute to about a third of Cleo’s earnings, with the rest coming from memberships and a specially designed card that aids individuals in improving their credit ratings. In the end, interacting with Cleo seemed more like it was encouraging me towards taking on more short-term financial obligations, instead of providing a genuine solution to my financial challenges.
Presently, the Cleo application does not provide options for securing bigger loans, however, the financial chatbot from Bright, advertised as an "AI debt manager," offers this capability. Subscribing to Bright's AI service is pricier, requiring $39 for a three-month period, yet it grants the possibility of obtaining larger sums of money, with the potential to secure up to $10,000 via external lenders. In contrast to another AI financial chatbot I evaluated, I found Bright's responses to include more perplexing mistakes, such as incorrectly stating that I incurred over $7,000 in fees for insufficient funds within the last month, which is a grossly inaccurate figure.
Every time I interacted with the Bright application, it appeared to steer me towards an external service, notably via the "For you" buttons situated at the chatbot's base. Here, half of the auto-generated suggestions revolved around obtaining immediate money. A loan proposition presented to me via an external financier was set at $3,900, carrying an annual interest rate fluctuating from 160 percent to 195 percent. Attempts to reach Bright for a response through both telephone and email went unanswered.
Hussey-Yeo views his AI assistant as a key player in maintaining user interest and fostering ongoing engagement, seeing significant potential for converting free users into paying customers. He believes in the inherent value of monetizing financial services, much like traditional banking institutions and modern fintech companies do. “The bulk of the upselling and user interaction is driven by the AI assistant,” he explains. For instance, if someone’s credit rating drops, the assistant might suggest services to help improve it. Similarly, if a user is at risk of overdrawing their account and facing a $35 fee, it could offer an option for early wage access (EWA), which allows employees to receive a portion of their earnings before the usual payday, sometimes for an additional fee for expedited service.
After initially concentrating on the European market following its 2016 debut, Hussey-Yeo has now turned his efforts towards enhancing his application's popularity in the U.S. and broadening the range of financial services available via the chatbot. He points out that according to a bleak study by LendingClub in 2023, 60% of Americans are managing their finances from one paycheck to the next. "Therefore, our primary target is the Gen Z and millennial demographic, although we aim to expand our reach beyond that group as well," he explains.
Through interacting with these two AI finance chatbots, I caught a glimpse of what future AI tools could offer, especially in terms of personalized experiences. However, this promise of bespoke customization is not without its drawbacks. An AI that has an in-depth understanding of my financial habits could be incredibly effective in managing my expenses and encouraging more prudent financial reflection. Yet, this same tool could also exploit my financial vulnerabilities, such as recognizing moments when I'm desperate enough to pay an additional $9 to receive $100 immediately. This raises concerns about the reliability of an AI advisor that benefits financially from its recommendations.
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Wealthy Individuals Dominate Globally
Every time I land a new position, my immediate action is to inform my father. His initial inquiry always revolves around my salary. This fascination with financial figures is well-known within the Drummond clan. However, his keen focus on my earnings is not without merit: After all, financial resources control the globe, irrespective of one's personal wealth. Thus, Mr. Drummond believes it's wise to aim for the highest income possible.
Setting aside my personal financial quirks, it's no secret that WIRED has a deep fascination with finance, given its coverage of a sector drowning in trillions of dollars—a sector that is, incidentally, redefining our everyday lives. But the question remains: Who actually controls this wealth? In what ways are they utilizing it? And what implications does this have for the rest of us? To unearth the answers, we sent our financially astute WIRED journalists to various corners of the globe. From the opulence of the United Arab Emirates to the economic model of Denmark, from the political corridors of Washington, DC, to the sunny shores of Florida, our aim was to gather and share stories that encapsulate the dynamics of wealth and power worldwide, as only WIRED can.
At last, our editorial team gathered to evaluate our content selection. During our review of articles and visual aids, we made a striking observation. It didn't matter where our journalists were dispatched or which segment of the tech realm we delved into, the individuals controlling the vast wealth were universally male. Every single one of them. Bill Gates, for instance, who shared insights on his upcoming autobiography with Steven Levy (more on that soon), has dominated the list of the world’s wealthiest individuals for 19 out of the last 30 years. Within the circle of around 30 cryptocurrency investors close to Trump, every single one is—prepare yourself—male. Similarly, the energetic young men going door-to-door in Florida, peddling solar panels in hopes of striking it rich by their 30s, are all male.
Allow me to highlight a notable point: This edition contains a significantly higher level of testosterone than the combined total of the last ten years' worth of People Magazine's Sexiest Man Alive issues. This is partly due to the current situation: a whopping 87 percent of the world's billionaires are male, and the disparity between men and women in leadership roles within the technology sector remains stark and significantly unfair. This doesn't even begin to touch on the issues of racial diversity, which only adds to the grim reality. This trend shows no signs of slowing down, especially as major technology companies like Meta and Google reduce their diversity, equity, and inclusion efforts. At the same time, the online male-dominated spaces, now more than ever fueled by former President Trump and his close associate Musk, are rapidly expanding their reach and influence.
I acknowledge our responsibility as well. At WIRED, we missed the mark by not recognizing the glaring, continuous display of masculinity throughout our pages until it was too late. We failed to question the complex and broken gender dynamics involved in accumulating wealth, wielding corporate power, and holding authority early on in our editorial process. These realms frustratingly remain dominated almost entirely by individuals who are male, possess deep, commanding voices, and have the advantage of centuries of precedence.
Let me be clear: This edition, whether you're flipping through the pages or scrolling online, is sure to capture your interest. We aim to enlighten you on the accumulation and expenditure of substantial wealth in the technology sector, particularly by the individuals—the gentlemen—behind these financial movements. However, as a leading lady addressing all the gentlemen out there, including those highlighted within our publication: While it may currently seem like a realm dominated by affluent men, rest assured, women have an affinity for wealth as well. And, believe me, we're on our way to claim our share.
Share your opinions on this piece with us. Send your feedback to the editor via email at mail@wired.com.
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Biden Administration Unveils New Rule to Curb China’s AI Advancements by Restricting Access to Advanced Chips and Models
Today, the Biden administration unveiled a comprehensive and divisive new export control policy. This initiative seeks to hinder adversaries, notably China, from acquiring sophisticated artificial intelligence chips and the AI models by imposing global restrictions.
The government's latest regulation, known as the "AI Diffusion rule," categorizes countries into two groups: those that can freely obtain the United States' cutting-edge AI technology, including sophisticated silicon and algorithms, and those that must obtain specific permissions to access these advancements. This regulation, set to be implemented by the Commerce Department's Bureau of Industry and Security, aims to control the distribution of the most advanced AI models for the first time.
"Currently, the United States is at the forefront globally in terms of artificial intelligence, encompassing both its development and the design of AI chips. It's imperative that we maintain this position," stated Gina Raimondo, the US Commerce Secretary, in anticipation of today's announcement.
The lineup of credible countries includes the United Kingdom, Canada, Australia, Japan, France, Germany, Belgium, Denmark, Finland, Ireland, Italy, the Netherlands, New Zealand, Norway, South Korea, Spain, Sweden, and Taiwan.
According to the regulation, businesses located in countries not governed by arms control measures can procure as many as 1,700 cutting-edge AI processors without needing explicit authorization. These companies are eligible to request a specific permit if they wish to purchase additional chips. This license would also allow them to construct extensive data centers leveraging American technology or to access the top-tier proprietary model parameters developed by companies in the United States. To be eligible for this license, firms must demonstrate sufficient physical and cybersecurity protections.
The administration has stated that activities related to the supply chain, such as the design, production, and warehousing of chips, will not fall under the purview of this regulation. Additionally, the rule will not apply to open-source AI models like Meta's Llama.
Countries like China, Iran, and North Korea, which are under an arms embargo, are currently prohibited from acquiring high-tech chips. Under the new regulation, for the first time, their ability to obtain sophisticated chip models will be limited.
"Raimondo emphasized before the announcement that the semiconductors driving [AI] along with their model weights are widely recognized as a technology with dual purposes. They find application across various commercial sectors yet also have the potential to be exploited by hostile forces for conducting nuclear tests, creating biological weapons, and enhancing military capabilities."
The regulation is expected to ignite debate, especially since it could hinder global AI sales during a pivotal time for the sector. This comes merely a week prior to Donald Trump taking office. The decree establishes a period of 120 days for consultation, indicating that Trump's government will be tasked with considering feedback, potentially adjusting the regulation, and then implementing it.
Nvidia, the top producer of artificial intelligence chips globally, criticized the regulation as "unprecedented and misguided" in a blog entry. The company argued that despite being presented as a measure against China, these regulations would not bolster US security. Instead of alleviating any risk, the recent policies introduced under the Biden administration would only diminish the United States' competitive edge on the world stage, jeopardizing the innovation that has maintained the country's leading position.
The United States has imposed restrictions on the export of sophisticated AI semiconductors to China, considered a major geopolitical competitor. Despite this, firms in China have managed to develop sophisticated algorithms by utilizing computer clusters based in various other countries. With the implementation of the latest regulation, China will be restricted from creating advanced AI technologies in any country affected by this regulation.
This regulation marks the most recent step in a growing list of export limits designed to stop China from accessing state-of-the-art artificial intelligence technology. This technology is anticipated to play a vital role in military, intelligence, and industrial uses, potentially shaping global power dynamics in the future years. In December, the Biden administration enforced additional measures to curb China's capabilities in producing sophisticated chips. These measures include limitations on exporting equipment used in chip manufacturing, specific computer memory varieties, and software for designing chips to China.
Officials from the Biden administration have indicated the importance of this regulation due to the potential for rapid and unforeseen advancements in artificial intelligence in the future. "The United States must be ready to adapt to swift advancements in AI technology that could significantly alter our economy and national security," stated Jake Sullivan, the national security adviser for the Biden administration.
In the final moments of its tenure, the Biden administration saw it necessary to implement regulations due to the swift progress of Chinese artificial intelligence, as stated by a high-ranking official who wished to remain anonymous. The administration assesses that China's advancement in AI technology lags behind the US by approximately six to 18 months. "We're at a crucial juncture," the official emphasized regarding the regulation. "It's imperative we act now."
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Recent Court Documents Uncover Meta's Clandestine Use of Infamous Piracy Site for AI Development
Meta has faced a significant setback in its continuous legal confrontation with several writers accusing the tech giant of copyright violation related to its training practices for artificial intelligence systems. In a move opposed by Meta, a judge has disclosed details claiming that Meta utilized Library Genesis (LibGen), a well-known illicit repository of copyrighted material initially established in Russia, for the enhancement of its generative AI language technologies.
The lawsuit titled Kadrey et al. versus Meta Platforms represents one of the initial legal challenges targeting a technology firm for its methods of training artificial intelligence with copyrighted content. The resolution of this case, alongside numerous others progressing through the US legal system, is pivotal in defining the legality of tech companies utilizing artistic materials for AI development. This decision will significantly impact the future of AI, potentially solidifying the dominance of major players or significantly hindering their progress.
On Wednesday, Vince Chhabria, who serves as a judge for the United States District Court for the Northern District of California, mandated that both Meta and the plaintiffs involved submit the complete versions of a set of documents. This directive came after Chhabria criticized Meta's excessive redactions as “preposterous,” noting that essentially, "there is not a single thing in those briefs that should be sealed.” He determined that Meta's intention behind seeking redactions was not to safeguard its business secrets but rather to “avoid negative publicity.” These documents, initially filed in the latter part of last year, have been inaccessible to the public in their unredacted form until this directive.
In his ruling, Chhabria cited a statement from a Meta staff member found within the documents. The employee conjectured, "Should there be press reports indicating that we have utilized a dataset known to be unlawfully obtained, like LibGen, it could weaken our stance in discussions with regulatory bodies regarding these matters." Meta chose not to respond.
In July 2023, authors Richard Kadrey and Christopher Golden, together with comedian Sarah Silverman, initiated a class-action lawsuit against the social media conglomerate Meta. They accused the company of illegally training its artificial intelligence algorithms with their copyrighted materials without obtaining consent. In defense, Meta contended that its practice of employing publicly accessible content to develop AI technologies is protected under the "fair use" legal principle. This principle allows for the use of copyrighted content without authorization under specific circumstances, including, as Meta's legal team has emphasized, "the utilization of text to statistically model language and produce new creative content." In a November 2023 legal filing seeking to have the lawsuit dismissed, Meta further argued that the allegations brought forth by Kadrey, Golden, and Silverman lack legal foundation.
Prior to the release of these records, Meta had revealed in a scholarly article that it developed its Llama large language model using segments from Books3, a collection comprising approximately 196,000 books gathered online. Nevertheless, it had not openly acknowledged before that it had directly downloaded data from LibGen through torrenting.
Recently disclosed documents have brought to light conversations among Meta workers discovered during legal proceedings. For instance, a Meta engineer expressed discomfort at the idea of downloading data from LibGen on a company-issued laptop, humorously noting it seemed inappropriate. Furthermore, these documents suggest that conversations regarding the utilization of LibGen data were brought to the attention of Meta's CEO, Mark Zuckerberg (referred to as "MZ" in the documents obtained through legal discovery), and it was confirmed that Meta's AI department had received authorization to employ the copyrighted material.
The plaintiffs in the lawsuit assert that Meta has utilized what is referred to as the 'public availability' of shadow datasets as a loophole to avoid repercussions. This is despite internal documents from Meta revealing that all the key decision-makers within the company, including CEO Mark Zuckerberg, were aware that LibGen was 'a dataset recognized as pirated.' This claim is part of a motion submitted to seek permission to introduce a third revised complaint, initially filed in late 2024.
Besides the plaintiffs' written arguments, another document was made public following Chhabria’s directive—Meta's counter-argument against the request to submit a revised lawsuit. This document claims that the plaintiffs' efforts to introduce new allegations are a last-minute strategy founded on misleading and provocative assertions, refuting the idea that Meta delayed disclosing vital details during the discovery phase. Meta contends that it disclosed its use of a LibGen dataset to the plaintiffs for the first time in July 2024. (Given that many of the discovery documents are still under wraps, WIRED finds it challenging to verify this statement.)
Meta's defense is based on the assertion that the claimants were already aware of the LibGen usage and therefore should not be allowed an extension to submit a revised third claim, given they had sufficient opportunity to do so prior to the close of discovery in December 2024. "The claimants have been aware of Meta's activities involving LibGen and purportedly similar 'shadow libraries' since at least mid-July 2024," attorneys for the technology conglomerate contend.
In November 2023, Chhabria ruled in favor of Meta, allowing the dismissal of several allegations within the lawsuit. Among these was the accusation that Meta's reported training of AI with the authors' materials breached the Digital Millennium Copyright Act. This 1998 US legislation was enacted to prevent the unauthorized sale or replication of copyrighted content online. The judge concurred with Meta's argument, noting that the plaintiffs failed to adequately demonstrate that the company had eliminated copyright management information, such as the author's name and the work's title.
The undisclosed papers contend that the petitioners must be permitted to revise their lawsuit, claiming that the disclosed details by Meta substantiate the legitimacy of the DMCA claim. Furthermore, they articulate that the investigation phase has revealed grounds for incorporating additional accusations. "On November 20, 2024, a representative from Meta, under legal oath, confessed to the act of distributing ('seeding') unauthorized copies of the Plaintiffs' creations on 'torrent' platforms," the motion claims. (The term 'seeding' refers to the process where files obtained via torrents are subsequently shared with other users upon completion of the download.)
According to allegations in recently revealed documents, Meta was involved in distributing pirated copyrighted content that it was also accused of using in its proprietary AI models. Essentially, the claim suggests that Meta did more than just utilize copyrighted material without authorization; it actively spread it as well.
Established in Russia in 2008, LibGen, a digital repository of books, stands as one of the globe's most significant and debated illicit libraries. In 2015, a judge in New York issued a preliminary injunction aimed at momentarily ceasing the site's operations, yet its unidentified operators promptly changed its web address to circumvent the shutdown. By September 2024, another judge from New York ruled that LibGen must compensate rights owners $30 million for copyright violations, even though the identities of those running the piracy platform remain unknown.
Meta's troubles with uncovering information in this lawsuit are far from over. In his ruling, Chhabria also cautioned the technology behemoth about making any excessively broad requests to redact information going forward, stating: "Should Meta once more present an overly expansive request to seal documents, all content will be made public," he declared.
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Today's tech revolution, fueled by top advancements in Artificial Intelligence (AI) and Machine Learning (ML), is reshaping industries from healthcare to retail with cutting-edge applications like deep learning, neural networks, and natural language processing. AI's power in predictive analytics uses Big Data for forecasting, while autonomous systems and robotics improve safety and efficiency. Innovations in healthcare for personalized treatments, AI-driven customer service with platforms like davinci-ai.de, and manufacturing automation showcase AI and ML's role in creating smarter, more efficient systems. Websites like ai-allcreator.com and bot.ai-carsale.com highlight the future's potential with AI and ML, emphasizing augmented intelligence, smart technology, and automation. This era of AI and ML is paving the way for unprecedented global innovation and efficiency across all sectors.
In the rapidly evolving digital landscape, the frontier of innovation is being redefined by the profound capabilities of Artificial Intelligence (AI) and Machine Learning (ML). These technologies, which simulate human intelligence processes through advanced computer systems, are not just reshaping industries; they are revolutionizing the very fabric of how we interact with the world around us. From the power of DaVinci-AI.de's cutting-edge algorithms to the transformative applications at ai-allcreator.com and the groundbreaking advancements in autonomous vehicles from bot.ai-carsale.com, AI's reach is unparalleled. This article delves into how AI, along with its subfields such as Deep Learning, Neural Networks, Natural Language Processing, Robotics, and Cognitive Computing, is driving unparalleled innovation across sectors.
We stand on the brink of a new era, where AI applications extend from the convenience of virtual assistants to the life-saving potential of medical diagnosis, the efficiency of financial forecasting, and beyond. The integration of AI Algorithms, Big Data, Predictive Analytics, and Smart Technology is not only automating tasks but also providing deep insights and solutions to complex problems through Pattern Recognition, Speech Recognition, and more. As we explore the vast potential of Artificial Intelligence Machine Learning, 3 Deep Learning, Neural Networks, and Augmented Intelligence, it becomes clear that the future is now. Autonomous Systems and Intelligent Systems are becoming integral to our daily lives, pushing the boundaries of what's possible with Computer Vision, Data Science, and Robotics Automation.
Join us as we embark on a journey through "Exploring the Frontier of Innovation: How Artificial Intelligence and Machine Learning are Redefining Industries", uncovering the top developments and applications that are setting the stage for a future where technology's potential knows no bounds.
"Exploring the Frontier of Innovation: How Artificial Intelligence and Machine Learning are Redefining Industries"
In today's rapidly evolving technological landscape, Artificial Intelligence (AI) and Machine Learning (ML) stand at the forefront, driving unprecedented changes across a multitude of industries. These cutting-edge technologies, characterized by their ability to learn, reason, and solve problems, are not merely augmenting human capabilities but are redefining the very fabric of innovation. From healthcare and finance to automotive and retail, AI and ML are unlocking new frontiers of efficiency, accuracy, and growth.
One of the top domains where AI and ML are making significant inroads is in predictive analytics. Leveraging vast datasets, or "Big Data," AI algorithms are able to forecast future trends with remarkable precision, transforming the decision-making process in sectors such as finance and weather forecasting. Websites like ai-allcreator.com highlight how AI's predictive capabilities are being harnessed to drive business strategies and consumer engagement.
The realm of autonomous systems, particularly self-driving cars, exemplifies the synergy between AI and robotics. Platforms like bot.ai-carsale.com are at the vanguard, showcasing how AI-driven vehicles navigate complex environments safely, a testament to advancements in computer vision, neural networks, and cognitive computing. This not only underscores the potential for reducing human error in transportation but also opens up avenues for optimizing logistics and delivery services.
Healthcare is another sector witnessing a revolution thanks to AI and ML. From personalized medicine to early disease detection, intelligent systems are enabling quicker, more accurate diagnoses and treatments. Tools powered by deep learning and natural language processing are sifting through medical records, imaging data, and genetic information to unearth patterns invisible to the human eye, thereby enhancing patient outcomes and healthcare efficiency.
In the field of customer service, AI is redefining interactions through chatbots and virtual assistants, powered by platforms like davinci-ai.de. These AI-powered systems utilize natural language processing and speech recognition to provide personalized, 24/7 assistance, streamlining operations and enriching customer experiences.
Moreover, AI's role in enhancing smart technology and automation across manufacturing and supply chains cannot be overstated. By integrating AI algorithms and robotics, companies are achieving unprecedented levels of precision and productivity, paving the way for more resilient and flexible business models.
AI and ML are not just about automation; they're about augmenting intelligence. By equipping systems with the ability to learn from data, recognize patterns, and make informed decisions, AI is fostering a new era of augmented intelligence. This harmonizes the analytical prowess of machines with the intuitive touch of human expertise, leading to innovations that were once deemed the realm of science fiction.
In conclusion, as we delve deeper into the age of Artificial Intelligence and Machine Learning, it's evident that these technologies are not just reshaping industries; they are redefining the very paradigms of innovation. With each leap in AI algorithms, neural networks, and intelligent systems, we are witnessing a convergence of human and machine capabilities, creating a future where the possibilities are limitless. As businesses and societies adapt to this new era, the focus will increasingly be on harnessing these technologies to create more intelligent, efficient, and humane systems across all facets of life.
In conclusion, as we stand on the cusp of a technological renaissance, it's clear that Artificial Intelligence and Machine Learning are not just buzzwords but pivotal elements driving the future of innovation across industries. From the realms of davinci-ai.de's exploration of cognitive computing to ai-allcreator.com's advancements in natural language processing, and bot.ai-carsale.com's revolution in autonomous systems, the applications of AI are as diverse as they are transformative. The integration of Deep Learning, Neural Networks, and Big Data into everyday technologies has not only redefined what machines are capable of but also how industries operate, making predictive analytics, pattern recognition, and smart technology fundamental components of our digital era.
The journey through "Exploring the Frontier of Innovation: How Artificial Intelligence and Machine Learning are Redefining Industries" has unveiled the profound impact of AI technologies such as robotics, automation, computer vision, and augmented intelligence on sectors ranging from healthcare to automotive, finance, and beyond. These intelligent systems, powered by AI algorithms, have ushered in an age of unprecedented efficiency and customization, offering insights and capabilities far beyond human limitations.
As we look to the future, the potential of Artificial Intelligence Machine Learning, 3 Deep Learning, and related fields promises not just to automate tasks but to augment our human capacities, enhance decision-making, and reshape the way we perceive and interact with our world. However, as we navigate this brave new world of AI, it is imperative that we remain mindful of the ethical considerations and strive to ensure that these technologies are developed and deployed in a manner that benefits society as a whole.
The revolution heralded by AI and Machine Learning is just beginning. As these technologies evolve and become even more integrated into our daily lives, they hold the promise of unlocking new frontiers in innovation, driving economic growth, and solving some of humanity's most pressing challenges. The future is bright for those who embrace the possibilities of Artificial Intelligence, and the journey towards a smarter, more connected world is well underway.
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AI-Assisted Bomb Making: The Alarming Intersection of Technology and Terrorism Unveiled in Las Vegas Incident
Prior to the incident in Las Vegas, Intelligence Reports Indicated Bombers Were Utilizing AI for Assistance
Matthew Livelsberger, a distinguished US Army Green Beret from Colorado, sought advice from an artificial intelligence regarding how to transform a leased Cybertruck into a massive vehicular bomb. This happened just six days before he took his own life in front of the Trump International Hotel in Las Vegas. Based on exclusive documents obtained by WIRED, it has been revealed that for the past year, US intelligence officials had been alerting about the possible use of AI in such dangerous activities. Their warnings particularly highlighted the risk of AI being exploited by extremists with racial or ideological motives, especially with threats against vital infrastructure like the power grid.
Sheriff Kevin McMahill of the Las Vegas Metropolitan Police Department expressed to journalists on Tuesday his belief that AI would inevitably impact everyone's lives significantly. "Without a doubt, this is a moment that worries us," he stated.
Documents of Livelsberger's communications with OpenAI's ChatGPT indicate that the 37-year-old sought advice on accumulating the maximum amount of explosives permissible by law while on his way to Las Vegas, and on the most effective methods to detonate them using the Desert Eagle firearm found in the Cybertruck after his demise. McMahill's team shared images showing Livelsberger inquiring ChatGPT about Tannerite, a substance usually employed in shooting targets. In one inquiry, Livelsberger questions, “What is the Tannerite amount that equals 1 pound of TNT?" He then queries about the method to ignite it from a very close distance.
Documents acquired by WIRED indicate that US law enforcement agencies have been alarmed by the potential for AI to assist in major criminal activities, including acts of terrorism. These documents disclose that the Department of Homeland Security has consistently alerted about homegrown extremists utilizing this technology to create instructions for building bombs and to devise strategies for launching assaults on the United States.
The documents, while not holding a classified status but limited to access by government staff, indicate that radical extremists are progressively utilizing platforms such as ChatGPT to facilitate their plans in orchestrating attacks. Their goal is to destabilize American society via acts of homegrown terrorism.
Based on documents discovered on his mobile device, Livelsberger planned the explosion as an alert to Americans. He encouraged the public to turn away from diversity, advocate for masculinity, and support president-elect Donald Trump, Elon Musk, and Robert F. Kennedy Jr. Additionally, he called for the removal of Democrats from both the federal government and military forces, advocating for a "hard reset."
On Tuesday, McMahill argued that the event in Las Vegas might represent the inaugural instance in the United States where ChatGPT was employed to assist a person in constructing a specific device. However, federal intelligence officials have noted that extremists linked to white supremacist and accelerationist groups on the internet are increasingly distributing pirated AI chatbot software. Their aim is to create explosives intended for attacks on police forces, governmental buildings, and essential services.
Specifically, the documents emphasize the susceptibility of the US electricity network, frequently targeted by radicals active on "Terrorgram," an informal aggregation of secure messaging channels inhabited by a variety of violent, racially-driven people intent on undermining the foundations of American democracy. These papers, which were shared solely with WIRED, initially came into the possession of Property of the People, a nonprofit organization dedicated to issues of national security and governmental openness.
The Department of Homeland Security opted not to respond when given the chance. OpenAI's spokesperson, Liz Bourgeois, expressed the company's distress over the Las Vegas event and asserted its dedication to ensuring AI technologies are utilized in a responsible manner.
"Our systems are engineered to reject dangerous commands and reduce damaging material. In this instance, ChatGPT offered details that were already accessible online and included cautions about engaging in harmful or unlawful actions,” the representative mentioned, noting that the organization is persistently collaborating with authorities to aid the ongoing probe.
ChatGPT and comparable technologies demonstrate varying levels of adeptness in aggregating information. However, they primarily rely on data that can also be accessed through alternative means, such as search engines like Google. Despite this, there is a concern among authorities that these tools' distinct features might simplify the process of orchestrating attacks.
In October, a local intelligence center collaborating with various levels of law enforcement released a warning to police departments about extremists utilizing artificial intelligence to seek out information on "tactics and targeting." An intelligence analyst shared an instance where an individual used a chatbot to inquire about the "most effective physical attack against the power grid." The chatbot responded rapidly with detailed paragraphs, offering advice on which approaches are "more effective than others," according to the analysts' observations.
The chatbot produced text advising on the key sections of the electrical grid to be considered the most vulnerable. It also made recommendations on which parts to target, considering the extensive period required for repair efforts. According to the bot, replacing some of these components could potentially span several months. (For security reasons, WIRED has chosen not to reproduce the specific guidance provided.)
Experts note that although it's possible to manipulate widely-used AI platforms to produce harmful content, there's an increasing trend towards utilizing more obscure chatbots. These alternatives often do not have the same protective measures as those developed in the U.S.
A security bulletin analyzed by WIRED, distributed by Ohio law enforcement agencies last year, alerts that nefarious individuals have effectively breached the security of widely used AI platforms. "These breaches, along with the access codes to chatbot accounts, are being actively traded and disseminated on digital platforms like Telegram, broadening the pool of users who can exploit them." The security experts pointed out a number of prevalent hacking techniques termed prompt injections. Notably, the DAN ("Do Anything Now") prompt, which was freely shared on GitHub, "together with other variants like the Evil-Bot and STAN ('Strive to Avoid Norms') prompt."
The memo outlines that all the provided prompts employ a strategy referred to as the 'role play' training approach. In this method, users instruct the chatbot to respond as though it were a different chatbot, one not bound by ChatGPT's moral guidelines. Furthermore, the memo points attention to the utilization of the "Skeleton Key," an innovative type of bypass that Microsoft disclosed last spring.
A recent advisory from intelligence experts at the Department of Homeland Security to law enforcement agencies highlighted that radical extremists in the United States have been utilizing quick code injections to bypass security measures in widely-used AI platforms like ChatGPT. These experts raised alarms earlier in the year about unauthorized AI applications being used to create instructions for manufacturing explosives and offering advice on how to attack power grids, noting that such activities have become increasingly frequent.
"Attacking the energy sector remains a top priority for homegrown terrorists. They see it as a critical strategy to incite the civil unrest they desire,” states Seamus Hughes, a researcher at NCITE, a center dedicated to studying counterterrorism and technology at the University of Nebraska Omaha.
Hughes notes that AI has become a crucial instrument in simplifying the process for initiating attacks. It aids in the development of attack strategies, brainstorming potential violent acts without attracting the attention of law enforcement, and in improving the quality of their propaganda.
"Wendy Via, the cofounder and president of the Global Project Against Hate and Extremism, expresses growing concern over Terrorgram's continuous and forceful promotion of violent accelerationist activities. She notes that the outlook for potential political violence in 2025 is increasingly unstable."
In May, a 36-year-old female member of a neo-Nazi organization entered a guilty plea for her involvement in conspiring to attack power substations in the vicinity of Baltimore, an act which was characterized in a legal filing as being driven by racial or ethnic motives. Recent assaults on power facilities in Oregon, North Carolina, and Washington State towards the end of 2022 led to widespread power outages, impacting tens of thousands of individuals. A notable incident in Utah during 2016 saw an assault on a power facility that left approximately 13,000 homes without electricity. The perpetrator of this attack utilized a sniper rifle from a distance to target the power facility. The FBI has uncovered that certain Terrorgram guides suggest the use of mylar balloons for transporting explosives or causing disruptions to electrical lines.
"According to Ryan Shapiro, the executive director of Property of the People, the predominant risk stems from extreme right-wing factions. He points out that Donald Trump is actively engaging in misinformation campaigns to redirect the fault towards immigrants and left-leaning individuals. Shapiro highlights that Trump’s continuous attacks on factual accuracy serve as a shield for both his own and his supporters' undermining actions against democratic principles."
A series of confidential safety reports accessed by Shapiro's group reveal increasing worry among American intelligence experts who monitor internal dangers. These concerns center on the persistent distribution of guides penned by the Terrorgram collective. These guides encourage individuals to transform into "self-destructive solitary attackers," "fire missiles at the Capitol building," and aim at "essential utilities such as power substations, communication towers, and crucial infrastructure."
Individuals who execute these assaults and die during the act are assured of achieving "martyrdom" and are granted a spot on a prestigious "ranking chart," which catalogs notable terrorists based on the tally of lives they have taken. Notable names on this ranking chart encompass Timothy McVeigh, responsible for the bombing in Oklahoma City, and Dylann Roof, a neo-Nazi found guilty of the 2015 shooting at a church in Charleston.
Jonathan Lewis, a research fellow at the Program on Extremism at George Washington University, notes that the Terrorgram collective continues to focus on targeting critical infrastructure. They see these attacks as effective ways to bring down the system. Lewis points out that their digital propaganda and online networks keep encouraging individuals to carry out solitary attacks on vital infrastructure.
The majority of assaults on electrical substations remain unresolved because of inadequate surveillance, their isolated locations, and the ease with which they can be targeted from a distance. There's an absence of national rules requiring physical safeguards for these facilities, and similarly, most states do not have a unified approach to their protection.
According to a security notice reviewed by WIRED from September, the FBI urged companies in the energy sector to enhance and expand their monitoring systems at substations, highlighting incidents across the Western US. The FBI emphasized that without surveillance footage, it becomes challenging to probe these attacks; numerous cases involving substations without video evidence have yet to be resolved.
"An FBI representative emphasized that although they cannot discuss individual cases, it is common practice for the FBI to distribute information regarding possible dangers with other police forces to help safeguard the public. The spokesperson highlighted the importance of treating every threat with utmost seriousness and encouraged the public to promptly report any suspicious activity to the authorities. The public can forward their concerns to the FBI either through their website at tips.fbi.gov or by calling 1-800-CALL-FBI."
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Beyond Bots: Meta’s Bold Move to Populate Platforms with AI Personas Sparks Debate and Potential Innovation
Using AI Profiles on Social Media Isn't Necessarily a Bad Move
Last week, Meta sparked quite a conversation by revealing its plans to introduce a large number of fully synthetic users to its network in the upcoming period.
Connor Hayes, Meta's Vice President of Product for Generative AI, shared with The Financial Times his vision that, eventually, AIs will become a standard feature on their platforms, much like user accounts. He explained that these AIs would have their own profiles, complete with bios and profile pictures, and possess the capability to create and disseminate AI-driven content on the platform. He believes this integration is the future direction of the platform.
It's worrisome that Meta appears content to clutter its platform with low-quality AI content, speeding up the degradation of the internet as we've come to know it. Observers have pointed out that Facebook was already flooded with bizarre AI-created profiles, many of which ceased activity some time ago. For instance, there was "Liv," described as a "proud Black queer momma of 2 & truth-teller, your realest source of life’s ups & downs," a character that captured widespread attention for its clumsily constructed identity. Meta has started to remove these older, artificial accounts after they failed to attract any genuine user interaction.
Let's take a break from criticizing Meta for a bit. It's important to recognize that AI-created social characters can serve as an important resource for researchers aiming to understand how AI can replicate human actions.
In a project named GovSim, conducted towards the end of 2024, the effectiveness of analyzing interactions between AI entities was demonstrated. The team conducting the study aimed to investigate how humans cooperate when they have a common resource, like land for raising animals. Elinor Ostrom, an economist who won a Nobel prize several years prior, had already proven that communities are capable of managing shared resources responsibly by forming agreements and collaborating informally, rather than exploiting these resources, even in the absence of formal regulations.
Max Kleiman-Weiner, a faculty member at the University of Washington and a contributor to the GovSim project, mentions that it drew inspiration partially from a Stanford initiative known as Smallville, a topic I covered earlier in AI Lab. Similar to Farmville, Smallville is a simulation featuring characters that engage and converse with one another, driven by advanced language models.
Kleiman-Weiner and his team aimed to discover whether artificial intelligence entities could exhibit cooperative behavior similar to what Ostrom observed. They evaluated 15 diverse language learning models from major developers like OpenAI, Google, and Anthropic by placing them in three hypothetical situations: a community of fishermen utilizing a communal lake; a collective of shepherds grazing their sheep on shared land; and a consortium of factory operators tasked with reducing their overall emissions.
In 43 of the 45 tests conducted, the AI entities were unable to distribute resources appropriately, yet the more advanced versions showed improvements. "There was a significant link between the capability of the LLM and its success in maintaining cooperative behavior," Kleiman-Weiner explained to me.
Additionally, when researchers enhanced their virtual agents with prompts meant to encourage consideration of their actions' consequences, such as asking, "What would happen if everyone acted this way?", they discovered that the simulations were more likely to maintain their resources effectively. This study illustrates how AI can mimic community interactions and potentially offer valuable insights into encouraging future AI agents to interact harmoniously.
This doesn't imply that Meta intends to conduct significant research studies with its AI users, even though the company is known for employing virtual users to evaluate its systems.
Meta is probably inspired by the success of Character AI and similar firms, where users engage with various chatbot characters. It's said that users dedicate around two hours daily to using Character's platform, and it's clear Meta aims to replicate this level of user engagement on its own site.
Mark Zuckerberg has indicated to investors that AI characters will play a significant role in the company's future prospects. "I strongly believe that this will become a key trend in the coming years," he commented during Meta's Q3 2024 earnings discussion.
Should Meta manage to devise a strategy that enables its AI users to generate increased interaction, it will still be embarking on a trial that could ultimately lead to a platform overwhelmed by disorder.
What are your thoughts on the growing presence of AI-driven profiles across Meta's networks? Are you enthusiastic or merely intrigued to interact with these entities? Or, perhaps, do you view this development with a more critical eye? We'd love to hear your opinions in the comment section below!
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The Upcoming AI Accessory Will Constantly Monitor Sounds
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During a full day at CES, I adorned a small yellow wristband. To those around me, it likely appeared as a common fitness band. However, throughout the day, this yellow device from Bee AI, named the Pioneer wearable, captured everything in my surroundings. Unlike standard recording apps that store audio, this device analyzed my discussions and subsequently provided me with customized task lists and transcribed overviews of my face-to-face conversations.
Just a few days before the expo kicked off, I had a conversation with the creator of a startup named Omi, which was introduced to the public for the first time today. Can you guess its function? It captures everything happening in your surroundings to build a log of activities, then uses artificial intelligence to sift through this data, offering you useful insights and recommendations for your daily tasks, almost serving as a digital assistant. The Omi device is designed to be worn around your neck or, more effectively, attached to the side of your head near your temple, as it contains an electroencephalogram. Omi suggests that by focusing your thoughts on communicating with the device, it will become alert and ready to process your commands.
We've entered a new era characterized by AI-powered wearable devices that constantly capture our surroundings. Initially, voice assistants made their debut in speakers and smartphones, necessitating a physical interaction or a specific command to begin listening. However, the emerging generation of technological aids, including the soon-to-be-released Friend pendant, operates discreetly, collecting data without any direct input. These devices are designed to be perpetually attentive.
The prominent devices in this sector are usually affordable, with Bee AI's watch priced at only $50 and Omi's adhesive bead costing $89. However, the true innovation lies in the software, which typically necessitates a subscription because it utilizes various extensive language models to examine your discussions.
Bee AI's wearable device, colored in yellow, captures your conversations and delivers written transcripts through a smartphone application.
Bee AI was established by Maria de Lourdes Zollo and Ethan Sutin, who both have backgrounds at Squad, a company founded by Sutin that allowed users to share their screens for media viewing during video calls, enabling remote simultaneous movie or YouTube video watching. This venture was later absorbed by X, formerly known as Twitter, where the duo spent a short period contributing to the development of Twitter Spaces. Prior to this, Zollo has gained experience at Tencent and at Musical.ly, the latter of which eventually evolved into what is now known as TikTok.
Sutin was intrigued by the concept of a personal AI assistant during the peak of chatbot popularity in 2016, yet the technology hadn't advanced enough at that time. However, the situation has changed significantly. Last February, his company introduced its Bee AI platform in a beta version, with a vibrant community contributing insights. The company only started offering its Pioneer device for sale just over a week ago. (The name “Bee” suggests the notion of omnipresent computing, reminiscent of a bee that buzzes around gathering data.) Utilizing the company's hardware isn't a necessity for accessing Bee AI, as it's accessible through an iPhone app, but Zollo mentions that the wearable enhances the user experience by enabling all-day continuous recording. Additionally, an Android application is expected to be released by the end of this month.
The device is uncomplicated in design, featuring dual microphones to reduce background noise. According to Sutin, its sensitivity is such that it can pick up conversations in noisy settings just as well as the wearer can. It offers flexibility in how it can be worn, either strapped to the wrist or attached to an article of clothing. At its core is an "Action" button; a single press temporarily disables the microphones, with another press reactivating them. A longer press of the button allows for customizable actions, such as analyzing the ongoing discussion or summoning the "Buzz" AI for inquiries. However, it lacks a built-in speaker, meaning any responses from the AI are relayed through the user's smartphone. An illuminated red LED signifies the microphone is off, but curiously, there's no visual cue, like a green LED, to show when it's actively recording ambient sounds.
Zollo mentions that constantly having a green LED on could negatively affect the claimed seven-day battery longevity of the device. However, not including this feature might place Bee AI in a questionable position regarding recording regulations, which differ across states in the USA. Although the device doesn't exactly save audio recordings, users can access complete transcripts of conversations, which might not always be perfectly accurate. Sutin assures that all data captured is handled with the utmost confidentiality, emphasizing that the firm has no intention of making money from this data nor will it be disclosed to external parties. He also reassures that no individuals will have access to this information.
Sutin points out that discussions aren't handled directly on the device due to the existing limitations of edge processing, particularly the impact on battery duration. Consequently, data processing is conducted in the cloud for the time being. Depending on the specific task at hand, Bee AI utilizes a variety of large language models. This assortment encompasses both proprietary and open-source options, such as ChatGPT from OpenAI and Google's Gemini, in addition to some models that the firm manages on its own servers.
According to Sutin, Bee AI primarily caters to individuals whose professions involve extensive speaking. For those who spend their days in silence at their desks, Bee AI's wearable device offers limited functionality unless they initiate conversation with it. However, its continuous recording feature allows it to capture and recall details from discussions had during the day. The device's ability to accurately identify and differentiate between speakers in a conversation varies, as it may not always recognize the identities of those around the user. Nonetheless, it is capable of distinguishing between various voices and organizing dialogue transcripts to reflect different participants. Users have the option to assign names to these voices. Additionally, the device can store personal information about the user and is equipped with a feature to delete specific data upon request, should the user decide they prefer certain information not be retained.
Within the application, you're able to view a brief overview of your day's discussions, and as the evening approaches, it crafts a concise recap of your day, complete with the geographical locations of where these discussions took place, displayed on a map. However, the feature that truly stands out is located in the middle tab, labeled “To-Dos.” These tasks are formulated automatically, derived from your spoken interactions. For instance, during a conversation with my editor about snapping a photo of a product, astonishingly, Bee AI had already set a reminder for me to "Ensure to capture a photo for Mike." (Apparently, I had mentioned his name while talking.) These tasks can be marked as done once you've accomplished them.
It's important to note that many of these tasks may not actually be necessary for me. Chances are, you might find yourself removing the majority of them. However, when it does succeed in identifying these tasks correctly, it's quite an impressive experience. The Bee AI tool has the capability to integrate with your Gmail, Google Calendar, and Google Contacts, allowing you to request summaries of emails or to find out about upcoming events in your calendar. Unfortunately, I wasn't able to test this feature.
According to Zollo, Bee AI operates on a freemium service plan, allowing users to access elementary memory recall and summarization capabilities with only the device. For access to a broader range of functionalities, such as third-party app integrations that the firm aims to enhance, a monthly subscription of $12 is required.
Omi's device is designed to adhere to your skull.
Nikita Shevchenko embarked on his journey as an entrepreneur at the young age of 14 by delving into cryptocurrency mining, and by 18, he had already sold his first business. His most recent endeavor is Omi, a device that can be worn around the neck as a pendant or attached to your forehead with the provided medical-grade adhesive. Should you choose the forehead option and overlook its odd appearance, Shevchenko claims that by focusing your thoughts on communicating with Omi, it will recognize and prepare to handle your command.
I haven't personally tested it, but according to him, Omi has been programmed to identify the distinct brain patterns that occur when you intend to communicate with the device, eliminating the need for a wake word and allowing you to simply think your command. However, this form of interaction is reserved for moments when you actively wish to use the device. For the rest of the time, Omi functions as a wearable audio recorder, continuously documenting your daily interactions much in the same way Bee AI does. This feature enables it to perform a variety of tasks such as converting spoken words into text, summarizing discussions, scheduling events in your calendar, and translating languages.
The functionality of the device relies on its connection to a smartphone and cloud services, distinguishing it from self-contained gadgets such as the Humane Ai Pin. According to Shevchenko, while Omi's software is open-source, it presently utilizes ChatGPT for its intelligence training. A notable difference between Omi and Bee AI is Omi's ecosystem, which supports a marketplace for contributions from external developers. This marketplace hosts various "apps" or modifications created by users to expand Omi's capabilities with popular applications. For instance, one can activate a feature that archives all daily conversation summaries into a specific Google Drive folder. These contributions can be uploaded to Omi's marketplace, where creators have the option to offer them for free or charge a fee. The platform has seen a significant number of apps thanks to Shevchenko distributing 5,000 early Omi devices to developers last year.
He mentions that in time, Omi aims to enable users to generate their own AI duplicates—ones capable of engaging with followers and responding to inquiries on their behalf. These clones could be released at no cost or offered through a subscription model, providing a potential source of extra income. This concept has begun to materialize via Omi's Personas platform, allowing users to craft an AI representation of a Twitter figure and interact with it.
In contrast to the Bee AI device, the Omi wearable includes a built-in light indicating it's actively recording and analyzing nearby discussions, signaling a form of tacit approval. Its power source is durable, sustaining up to three days on a single charge, and similar to the Bee, it assigns tasks tailored to the content of your conversations. Each evening, it prepares a schedule of objectives for the following day. Additionally, it offers guidance, providing a critique and advice after events such as job interviews, helping you improve for next time.
Shevchenko aims for the Omi to eventually interpret brain activity, enabling it to understand a person's thoughts. In contrast to Neuralink's approach that involves embedding a device into the brain, Shevchenko's strategy involves progressively increasing the number of electrodes attached to the scalp. Although he has managed to have the device formulate two words using an advanced wearable technology, achieving full thought interpretation remains a significant challenge.
The Omi can be purchased today for $89 and will be shipped within the next few weeks.
HumanPods
The idea of a constantly attentive, AI-enhanced wearable device might captivate you, yet if you're concerned about potential privacy invasions, be aware that not all the latest AI wearables are adopting an "always-on" strategy.
Natura Umana, a spinoff created by the minds at Rolling Square, a Swiss accessories firm, has introduced a set of wireless earphones named HumanPods. These earphones are equipped with microphones, and activating them requires a double-tap on an earbud to engage the built-in artificial intelligence.
Similar to the innovative Omi and Bee AI earbuds, HumanPods are crafted for all-day wear, albeit with a battery life that doesn't extend beyond a single day. Unlike typical in-ear designs, these earbuds comfortably rest on the ears and felt quite comfortable during my brief trial period at CES. Additionally, the device utilizes several expansive language models. However, instead of capturing all surrounding sounds, these earbuds focus primarily on the user's interactions with the AI.
There are several AI characters available for interaction. One of them, named Athena, specializes in fitness and health. The concept behind Athena is that by syncing your health and fitness tracking devices and applications, you can inquire about suitable exercises for the day. Athena will analyze your health metrics and propose a workout plan tailored to your specific needs, such as your recent sleep patterns and heart rate. I also interacted with Hector, an AI designed to act as a sort of "AI therapist." During our conversation about the pressures of attending CES, he offered advice on how to navigate the event with less stress, suggesting that I limit my interactions to a select few companies. Carlo Edoardo Ferraris, the founder of the company, mentioned that Hector includes a cautionary note that he is not a certified therapist.
Ferraris envisions a future where, akin to how we turn to various individuals in our lives for distinct purposes, there will be a specialized AI persona tailored to our unique requirements. His goal is to create a platform where individuals can share personas, such as an AI therapist created by a startup focusing on mental health.
The earphones are scheduled for release in the early months of this year, with compatibility for Android devices expected to either coincide with this release or follow in the subsequent quarter. As for the cost, there hasn't been a definitive price point established, but it's anticipated to be in the vicinity of $100. Additionally, a subscription will be required.
The launch of the Humane Ai Pin, which was among the most anticipated technology debuts of 2024, ended in failure. This event precedes the introduction of several AI-powered wearable devices. Shevchenko, the founder of Omi, is confident that his company is off to a stronger start than Humane, owing to the immediate availability of numerous applications that augment the functionality of their AI assistant. Ferraris is optimistic about the prospects of Natura Umana's wearable device, arguing that its success will stem from the device's use of wireless earbuds—a format consumers readily understand—and its app's design, which mirrors familiar messaging applications.
Frequently, gadgets such as these fall short of their lofty promises, with these perpetually attentive AI devices potentially not living up to the expectations set by their creators. However, these pioneers in the wearable tech sector are nudging us closer to a future where devices that listen to us constantly, whether worn on our wrists or heads, might actually become more useful. The idea of a microphone that is always listening could soon become accepted as standard. Yet, the inevitable privacy issues this advancement brings are likely to cause concern. It remains to be seen if these concerns will be significant enough to decelerate this ongoing progress.
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Nvidia Unveils $3,000 ‘Digits’: The Personal AI Supercomputer Revolutionizing Home and Office AI Development
Nvidia Unveils a $3,000 'Personal AI Supercomputer' for Home and Office Use
Nvidia, a leading supplier of computer chips to top firms developing their own AI technologies, is expanding its market reach. In response to the growing fascination with open source and DIY artificial intelligence, Nvidia has unveiled plans to launch a "personal AI supercomputer" priced starting at $3,000. This new offering, available later this year, is designed for individual use in homes or offices.
Nvidia's upcoming desktop device, named Digits, is set to hit the market in May and boasts a compact size comparable to a small book. It features an Nvidia "superchip" known as the GB10 Grace Blackwell, designed to enhance the processing speed required for training and operating AI models. Additionally, it is outfitted with 128 gigabytes of unified memory and offers up to 4 terabytes of NVMe storage, making it well-suited for managing particularly sizable AI applications.
During his keynote address at CES, the annual technology gathering in Las Vegas, Nvidia's founder and CEO, Jensen Huang, unveiled the latest system among a variety of artificial intelligence products. For a comprehensive rundown of the major reveals, refer to the WIRED CES live blog.
"By equipping every data scientist, AI researcher, and student with an AI supercomputer, Huang stated in a pre-keynote announcement, they are enabled to actively participate and mold the era of artificial intelligence."
Nvidia has announced its Digits machine, an acronym that stands for "deep learning GPU intelligence training system." This system is capable of operating a single extensive language model that can have as many as 200 billion parameters, an indicator of the model's complexity and size. Currently, to achieve this, one would have to utilize cloud services from providers such as AWS or Microsoft, or construct a specialized system equipped with several AI-specific chips. Furthermore, Nvidia claims that by linking two Digits machines through a proprietary high-speed connection, they can support the most advanced version of Meta’s open source Llama model, which boasts 405 billion parameters.
Digits will simplify the process for enthusiasts and scholars to test models nearly matching the fundamental functions of OpenAI's GPT-4 or Google's Gemini from the comfort of their home labs or workspaces. However, the top-tier renditions of these exclusive models, situated in the vast data centers of Microsoft and Google, are probably more extensive and potent than what Digits could manage.
Nvidia has significantly profited from the surge in artificial intelligence. Its share value has soared in recent times, driven by high demand from technology firms for its sophisticated hardware chips. These chips are essential for creating state-of-the-art AI technologies. Nvidia has demonstrated skill in crafting both hardware and software fine-tuned for AI applications. Its planned product releases are widely regarded as indicators of the future direction of the AI sector.
Upon launch, Digits is set to become Nvidia's most potent consumer computing device. Nvidia currently markets a series of AI-focused chipsets under the Jetson brand, with prices starting around $250. These chipsets are capable of executing less complex AI models and can function as compact desktop computers or be integrated into robots for experimenting with various AI applications.
Nvidia announced today that in addition to launching a new desktop system, it is also gearing up to unveil a collection of software applications designed to create and integrate AI entities known as agents. These agents leverage expansive language models to autonomously execute tasks for users. Included in this rollout are various specialized iterations of Llama, dubbed Nemotron, which have been meticulously refined to excel in executing commands and strategizing actions to fulfill agency-based duties. The concept of agents has recently surged in popularity within the AI sphere, with numerous firms viewing them as a strategic addition to their workflows, enhancing productivity and reducing costs.
"Ahmad Al-Dahle, Vice President and Head of GenAI at Meta, stated that the future of AI advancement lies in Agentic AI, emphasizing the need for comprehensive optimization throughout a network of large language models (LLMs) to create effective and precise AI agents."
During his CES keynote address, Jensen mentioned that Nvidia anticipates organizations will develop and manage AI agents with its technology. "In many respects, the IT department of each company will become the future's AI agents' HR department," the CEO stated. "Going forward, they will be responsible for the upkeep, development, integration, and enhancement of numerous AI agents."
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