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Anthropic Opens Hard Questions Portal: AI Companies Rank Below Governments in Trust
A 52,000-person Anthropic survey put AI companies below every government body in public trust Anthropic launched a formal public submission portal on Wednesday inviting anyone to submit the hardest questions they have about AI -- and committing to publish not just its answers but the reasoning that produces them, including cases where the company acknowledges it is wrong or uncertain. The initiative, called "Hard Questions" and accessible at Anthropic's Hard Questions portal, is one of the more structurally unusual transparency moves by a frontier AI lab: it hands agenda-setting to the public rather than to the company's communications team. The timing is not incidental. Anthropic's own nationally representative survey of nearly 52,000 Americans, published last month, found that only 15% of respondents said they trust AI companies to make decisions about how the technology is developed and used. That figure was the lowest of any institution the survey tested -- below the federal government, state and local governments, international bodies, and far below independent experts at 43%. AI Company Trust Ranks Last Among Every Surveyed Institution The Anthropic Public Record survey, conducted by YouGov between November and December 2025 with a national margin of error of ±0.6 percentage points, documented a trust landscape that the company itself describes as the backdrop for the Hard Questions initiative. Job loss was the most common fear Americans cited, held by 64% of respondents and ranking as the top concern in every state -- among Democrats at 67%, Republicans at 62%, and across every household type. Cognitive dependency, the worry that AI integration leaves people unable to think for themselves, ranked second at 56%. Misinformation ranked third at 52%. On the hopeful side, nearly half of Americans -- 48% -- named curing diseases like cancer or Alzheimer's as one of their top three hopes for AI, placing it 12 percentage points above the next option. What the survey found missing was trust in the companies building the technology to navigate this terrain responsibly. What Anthropic Is Actually Committing To: Mechanism, Limits, and What's Missing The Hard Questions mechanism is structurally different from the transparency tools most AI labs already use -- safety papers, whitepapers, voluntary commitments, and blog posts. Those are curated output: the company decides what it is ready to say, frames the questions it chooses to address, and controls every published finding. The Hard Questions portal inverts that: the public submits the agenda, and Anthropic has committed to publish not just positions but the reasoning that leads to them, including the company's acknowledgment of its own uncertainty and shortfalls. That structural difference matters. Most of what passes for AI transparency is what researchers have called "self-referential opacity" -- labs define what safety means, evaluate whether they meet their own definitions, and publish the results. An arXiv paper published in 2025 rated voluntary frontier AI commitments as failing on both democratic legitimacy (no external authorization of the standards) and accountability (self-reporting with no external verification). Brandie Nonnecke, director of the CITRIS Policy Lab at UC Berkeley, put it plainly in MIT Technology Review's 2024 assessment of voluntary commitments: "These are still companies that are essentially writing the exam by which they are evaluated." The Hard Questions initiative does not fully resolve this. Anthropic still decides what constitutes an adequate answer to a submitted question, controls the publication timeline, and bears no legal consequence if its public reasoning trail diverges from its internal deliberations. There is no independent body with authority to audit the responses, no mechanism for the public to reject an answer as insufficient, and no enforcement architecture if the company falls short of its stated commitments. What exists is a reputational stake -- stronger than a safety white paper because it invites external challenge, but weaker than any legally binding accountability mechanism. Dario Amodei, Anthropic's CEO, has drawn that line himself. In a policy essay published June 10, Amodei wrote directly that "the rapid pace of acceleration means that transparency alone is no longer sufficient" and called on governments to take on binding authority over frontier AI deployments, including mandatory third-party safety testing and civil penalties tied to global revenue for companies whose models fail safety thresholds. The Hard Questions initiative is positioned as the voluntary public engagement layer of that larger picture -- not the whole accountability structure. What Americans Want That a Submission Portal Cannot Deliver The Anthropic Public Record survey found that 71% of Americans -- a bipartisan supermajority spanning 68% of Republicans and 79% of Democrats -- believe the government should play a role in regulating AI. When asked what single action would best ensure AI is developed in humanity's interest, 47% of respondents named holding AI companies legally liable for harm. Another 44% named prioritizing safety over growth. Neither of those outcomes is deliverable through a public submission process, however rigorously run. Legal liability requires legislation. Government oversight requires regulation. The survey's most politically unified finding -- that the public wants something harder than voluntary transparency -- is precisely the gap the Hard Questions initiative leaves open. That gap is the honest context for the initiative: it is a genuine step, not a substitute. Anthropic has been building toward it for over a year, conducting in-depth interviews with 81,000 Claude users across 159 countries and 70 languages through a purpose-built tool called Anthropic Interviewer, running in-person focus groups, and publishing ongoing data from the Anthropic Economic Index. The Long-Term Benefit Trust, established early in the company's history, provides some independent oversight of how effectively Anthropic advances its public benefit mission -- though it lacks the authority of an independent regulator. The Anthropic Institute, a research arm focused on AI's societal challenges, provides institutional grounding. Anthropic is also structured as a Public Benefit Corporation, a legal form available in Delaware and approximately 40 other states that requires directors to weigh public benefit alongside profit and insulates them from shareholder suits for doing so. That structure gives the initiative legal cover -- Anthropic can justify commercial costs to its mission without facing liability to investors. What it does not create is an enforcement mechanism for anyone outside the company. How Does Anthropic's Hard Questions Initiative Actually Work? The initiative operates through a dedicated portal at claude.com/hard-questions. Visitors can submit questions on topics including AI's effects on jobs and society, AI's potential in science and medicine, safety and governance, and the broader trajectory of AI development. Anthropic has committed to publicly tracking the specific actions it takes in response to submitted questions -- and, notably, to disclosing where it falls short of its stated goals. The company produced a two-minute film, directed by Myles McAuliffe and created by Mother agency as part of Anthropic's "Keep Thinking" brand platform, drawing on conversations with more than 12,000 people about their hopes and fears around AI. The film surfaced questions including "Who decides the rules for AI?", "Does AI make the world more dangerous?", and "Could AI help people stop feeling misunderstood?" -- the range intentionally spanning existential and everyday. What Anthropic has not specified is a timeline for publishing its first substantive responses, a format for what those responses will look like, or a mechanism for users who disagree with an answer to escalate their challenge. Those details will determine whether the initiative functions as genuine public accountability or as a more sophisticated version of the curated FAQ. Why This Moment Is Harder Than It Looks for Anthropic The Hard Questions launch arrives against a backdrop that makes the credibility test unusually concrete. Anthropic is currently in active federal litigation over a Trump administration directive issued in February 2026 that designated the company a "supply chain risk" and directed federal agencies to cease using its technology -- the first time that designation, historically reserved for foreign adversaries like Huawei and ZTE, had been applied to an American company. A subsequent Commerce Department export control directive in June forced Anthropic to globally disable Fable 5 and Mythos 5 for all users, because the company's access architecture had no mechanism to selectively filter users by nationality at commercial scale. The company disputed both actions and has filed lawsuits challenging them. But the episode demonstrated that Anthropic's most powerful deployed models operate in a legal environment that is neither stable nor transparent to users -- a fact that sits in some tension with an initiative premised on accountability and showing its work. Separately, the June 2026 launch of Claude Fable 5 -- Anthropic's most capable public model -- included safety classifiers that silently downgraded legitimate security and chemistry researchers' responses without notifying them. Anthropic apologized within days and made the downgrade visible, but critics noted the fix added transparency to the downgrade without removing it. A prominent AI safety researcher who departed Anthropic in February 2026, Mrinank Sharma, had spent his time there on exactly these problems: AI sycophancy and bioweapons defenses. His public departure letter described a world "in peril." These are not disqualifying facts for the Hard Questions initiative. They are the honest context for what the initiative needs to demonstrate over time: that its public reasoning trail constrains actual company decisions, not just the ones Anthropic was already comfortable making. What the Bipartisan Case for AI Accountability Actually Looks Like The Anthropic Public Record survey found something unusual in an era of deep partisan division: AI governance is not a partisan issue. Job loss fears differed by just five percentage points between Democrats and Republicans. Support for government involvement in AI reached 79% among Democrats and 68% among Republicans. Integrated AI users -- roughly 6% of Americans who use AI daily for both work and personal purposes -- supported government involvement at essentially the same rate as the general public (74% vs. 71%). Even the Americans most embedded in AI could not be described as opposed to oversight. That consensus has not translated into federal legislation, which remains stalled. In its absence, state-level transparency laws -- including New York's RAISE Act, which Anthropic publicly supported and which takes effect January 1, 2027, and California's SB 53 -- have created the first mandatory disclosure floor for frontier AI developers above $500 million in annual revenue. Those laws require annual risk frameworks and 72-hour incident reporting, with fines of up to $3 million for repeat violations. They are the nearest thing to enforceable accountability currently on the books. The Hard Questions initiative sits in the space between those mandatory disclosure floors and the broader public accountability mechanism the survey data suggests the public actually wants. It is worth watching. Whether the public reasoning trail it promises turns out to be binding in practice -- whether it constrains decisions the company would otherwise make differently -- is the question that will determine its significance. Submissions are open at Anthropic's Hard Questions portal. Frequently Asked Questions How does the Anthropic Hard Questions initiative actually work? Anyone can submit a question at Anthropic's Hard Questions portal. Anthropic has committed to publicly tracking the specific actions it takes in response and to disclosing where it falls short of its stated goals. The structural distinction from prior AI lab transparency efforts is that the public sets the agenda -- the company does not choose which questions to acknowledge. What Anthropic has not specified is a timeline for publishing responses, a format for those responses, or a process for users who find an answer inadequate. Is Anthropic's transparency commitment legally binding? No. The Hard Questions initiative is a voluntary commitment backed by reputational risk rather than legal consequence. Anthropic defines what constitutes an adequate answer, controls the publication process, and bears no legal penalty if its public reasoning trail diverges from its actual decisions. Dario Amodei, Anthropic's CEO, has publicly stated that "transparency alone is no longer sufficient" and called for binding government regulation -- mandatory third-party safety testing, government authority to block deployments, and civil penalties. That regulatory framework, if enacted, would create enforceable accountability. The Hard Questions portal does not. Why do Americans distrust AI companies more than their own government? Anthropic's own Anthropic Public Record survey -- 51,993 Americans, conducted by YouGov in November and December 2025, with a national margin of error of ±0.6 percentage points -- found that only 15% of respondents trust AI companies to make decisions about how the technology is developed and used. That was lower than trust in the federal government (20%), state and local governments (19%), and international bodies (20%), and far below independent experts (43%). The survey found no significant partisan divide on the trust question. Researchers who study voluntary industry self-governance have documented a structural reason for the gap: AI companies currently define the standards they evaluate themselves against, report their own compliance, and face no external verification. How does the Hard Questions initiative differ from other AI labs' transparency efforts? Most major AI labs publish safety papers, whitepapers, and voluntary policy commitments -- all forms of curated output where the company decides what it is ready to say. The Hard Questions initiative is different in that it hands agenda-setting to the public: submitted questions, not company-selected ones, drive what Anthropic commits to address publicly. The additional commitment to publish reasoning rather than just conclusions -- including cases where Anthropic acknowledges uncertainty or shortfalls -- is also structurally unusual. The test of whether this difference is meaningful is whether the public reasoning trail constrains decisions the company would otherwise make differently, which will only be visible over time.
Polymarket odds lift Troy Jackson to 57.5% in Maine Dem Senate nominee race
Polymarket Reprices Maine Democratic Senate Nominee Odds After Candidate Turmoil Catalyst Polymarket traders have pushed the Maine Democratic Senate nominee market toward Troy Jackson, lifting his implied odds to 57.5% on $416,678 of volume. The move follows a news catalyst about turmoil around a Maine Senate candidate, and the market data shows a 7.5-point jump with strengthening consensus into the July 27 resolution. Key Takeaways * Polymarket's leading pick is Troy Jackson at 57.5% implied odds (42.5% No). * A news item describing fast-moving turmoil around a Maine Senate candidate coincided with Jackson's odds rising 7.5 points from 50.0% to 57.5%. * The market resolves on July 27, 2026 (23:59 UTC), and the last 24h and 7d changes both show +7.5 points. A recent podcast episode described a fast-moving crisis around Maine Senate candidate Graham Platner, including calls for him to step down after a long string of controversies and allegations of sexual abuse. The episode also discussed unrelated tech topics, but the Maine political segment framed the situation as rapidly developing and destabilizing. Market Data Breakdown: Jackson Jumps to 57.5% on $416,678 Volume as Bellows Holds 33.5% and Longshots Stay Below 6% This Polymarket is a multi-outcome nominee question, so each candidate line is its own Yes/No contract: Troy Jackson is priced at 57.5% Yes / 42.5% No, while Shenna Bellows sits at 33.5% Yes / 66.5% No; longshots like Nirav Shah are 5.8% Yes / 94.2% No and Janet Mills is 1.15% Yes / 98.85% No. The key signal is the repricing speed and direction: Jackson is up 7.5 percentage points versus the prior 50.0%, with historical_summary calling the tape bullish with strong momentum and a strengthening consensus (moderate volatility, no reversal detected). Volume at $416,678 suggests the move is being expressed in size rather than a thin, one-print spike, and the average of the last five observations (52.9%) shows the latest 57.5% is above the short-term mean. Practically, the market is saying the field is no longer a coin flip -- Jackson has a clear lead -- but it is not a lock, leaving meaningful probability mass on alternatives ahead of the July 27 settlement date. Watch whether Jackson holds above the low-to-mid 50s while volume continues to build; if the odds slip back toward ~50% it would indicate renewed disagreement rather than a clean consensus trend. Also monitor whether Bellows' 33.5% line compresses upward or downward as the market approaches the July 27 (23:59 UTC) resolution window. What Traders Watch Next on Polymarket: Election-Nominee Momentum Signals vs Macro and Crypto Contracts Heading Into July Beyond this nominee tape, Polymarket traders are also rotating into high-volume event and tech contracts that can reprice quickly as new information hits. On the fight side, 79.5% leads the "UFC 329: Max Holloway vs. Conor McGregor (Welterweight, Main Card)" O/U 0.5 Rounds market on $5,093,624 of volume, while 78.25% leads "UFC 329: Paddy Pimblett vs. Benoît Saint Denis (Lightweight, Main Card)" O/U 0.5 Rounds on $329,626. And in AI, "Which company has best AI model end of July?" is priced at 91.5% for Anthropic on $5,648,877 -- an example of the platform's broader mix where traders watch odds shifts for momentum signals across very different catalysts. Odds Trend By the Numbers * Platform: Polymarket * Market: Maine Democratic Senate nominee on July 27? * Contract type: Price strike ladder: each rung has separate Yes/No; Yes means the spot price is above that USD strike at settlement. * Resolution window: Jul 27, 2026 (UTC) * Status: Active (open for trading) * Volume: ~$416,678 Top strike rungs +14 more strikes not shown
Anthropic appoints former US Fed Chair Ben Bernanke to Long-Term Benefit Trust
New Delhi [India], July 10 (ANI): Anthropic's Long-Term Benefit Trust (LTBT) has appointed former US Federal Reserve Chair Ben Bernanke as its newest member as per a statement by the company. As per the release, Ben Bernanke is a Distinguished Fellow at the Brookings Institution and led the the Federal Reserve from 2006 to 2014. 'He joins an independent body that works to hold Anthropic to its mission: the responsible development of advanced AI for the long-term benefit of humanity,' the company said. During his tenure at the US Federal Reserve Chair, Bernanke led the central bank through the 2008 global financial crisis and subsequent recovery. Before joining the government, Bernanke spent more than 20 years in academia, primarily at Princeton University, where he chaired the economics department. His influential research on the Great Depression and the role of banks in financial crises earned him the 2022 Nobel Prize in Economic Sciences. 'The potential of artificial intelligence is enormous, and so is the range of outcomes. How that potential plays out will depend, in part, on the institutions we build around it,' said Bernanke, as per the release. Bernanke further added Anthropic's unique governance structure is designed to ensure that the long-term benefits of artificial intelligence for humanity significantly outweigh its risks. 'I am honored to have this opportunity, and I will try to contribute in any way I can to this critical mission,' he said. Anthropic is a Public Benefit Corporation, structured to balance commercial success with broader societal benefit. Its Long-Term Benefit Trust serves as an independent oversight body, helping ensure the company develops and deploys AI responsibly while staying aligned with its long-term public interest mission. Neil Buddy Shah, Chair of the LTBT said, 'The institutions built around this technology will matter as much as the technology itself.' Commenting on Ben's appointment he said 'Ben spent eight years leading the Federal Reserve and guided the country through the worst financial crisis in nearly a century with expertise, independence, and sound judgment. That's the standard we look for in Trustees as AI's impact grows, and we're fortunate Ben has chosen to join us in this work.' (ANI)
Anthropic appoints former US Fed Chair Ben Bernanke to Long-Term Benefit Trust
New Delhi [India], July 10 (ANI): Anthropic's Long-Term Benefit Trust (LTBT) has appointed former US Federal Reserve Chair Ben Bernanke as its newest member as per a statement by the company. As per the release, Ben Bernanke is a Distinguished Fellow at the Brookings Institution and led the the Federal Reserve from 2006 to 2014. 'He joins an independent body that works to hold Anthropic to its mission: the responsible development of advanced AI for the long-term benefit of humanity,' the company said. During his tenure at the US Federal Reserve Chair, Bernanke led the central bank through the 2008 global financial crisis and subsequent recovery. Before joining the government, Bernanke spent more than 20 years in academia, primarily at Princeton University, where he chaired the economics department. His influential research on the Great Depression and the role of banks in financial crises earned him the 2022 Nobel Prize in Economic Sciences. 'The potential of artificial intelligence is enormous, and so is the range of outcomes. How that potential plays out will depend, in part, on the institutions we build around it,' said Bernanke, as per the release. Bernanke further added Anthropic's unique governance structure is designed to ensure that the long-term benefits of artificial intelligence for humanity significantly outweigh its risks. 'I am honored to have this opportunity, and I will try to contribute in any way I can to this critical mission,' he said. Anthropic is a Public Benefit Corporation, structured to balance commercial success with broader societal benefit. Its Long-Term Benefit Trust serves as an independent oversight body, helping ensure the company develops and deploys AI responsibly while staying aligned with its long-term public interest mission. Neil Buddy Shah, Chair of the LTBT said, 'The institutions built around this technology will matter as much as the technology itself.' Commenting on Ben's appointment he said 'Ben spent eight years leading the Federal Reserve and guided the country through the worst financial crisis in nearly a century with expertise, independence, and sound judgment. That's the standard we look for in Trustees as AI's impact grows, and we're fortunate Ben has chosen to join us in this work.' (ANI)
Who is Ben Bernanke, ex-Fed chair appointed to Anthropic's Long-Term Benefit Trust - CNBC TV18
Ben Bernanke becomes the fourth member of Anthropic's Long-Term Benefit Trust, joining Neil Buddy Shah, Richard Fontaine and Mariano-Florentino Cuéllar. Anthropic has appointed Ben Bernanke, the former chair of the Federal Reserve, to its Long-Term Benefit Trust (LTBT). The independent governance body oversees the company's mission of developing artificial intelligence responsibly for the long-term benefit of humanity. Bernanke became the fourth member of Anthropic's Long-Term Benefit Trust, joining Neil Buddy Shah, Richard Fontaine and Mariano-Florentino Cuéllar. The LTBT is responsible for appointing Anthropic's board members and guiding the company on major decisions involving AI and its societal implications. Who Is Ben Bernanke? Ben Bernanke is an American economist best known for serving as the Chair of the US Federal Reserve from 2006 to 2014. He led the central bank through the 2008 global financial crisis and the recovery that followed. Before joining the Federal Reserve, Bernanke spent more than two decades as an academic economist, primarily at Princeton University. While at Princeton, Bernanke headed the economics department and researched the Great Depression and the role banks play in financial crises. His work was recognised with the Nobel Prize in Economic Sciences in 2022. Following his tenure at the Federal Reserve, he joined the Brookings Institution as a Distinguished Fellow and has also held advisory roles at investment firms, including Citadel and PIMCO. Role at Anthropic As a member of Anthropic's Long-Term Benefit Trust, Bernanke will contribute to research on how AI is changing the economy. He will provide his expertise for Anthropic's economic research while also contributing to other areas of the company's work. Speaking on his appointment, Bernanke said AI holds enormous potential, but its impact will depend on the institutions built around it. "Anthropic has created a unique governance structure to try to ensure that the long-run benefits of AI for humanity far outweigh the risks. I am honored to have this opportunity, and I will try to contribute in any way I can to this critical mission," he added. About Anthropic's Long-Term Benefit Trust Anthropic, founded in 2021 by former OpenAI researchers and executives, a Public Benefit Corporation. The Long-Term Benefit Trust comprises independent trustees with expertise across a wide range of areas that spans economics, law, policy, national security and global health. "The Trustees are chosen for their expertise across a wide range of areas, and are independent of the company's management and investors: they hold no equity in Anthropic, don't share in its profits, and are compensated only for their time and service. New Trustees are selected by the existing ones, in consultation with the company," according to Anthropic.
Anthropic appoints former US Fed Chair Ben Bernanke to Long-Term Benefit Trust
New Delhi [India], July 10 (ANI): Anthropic's Long-Term Benefit Trust (LTBT) has appointed former US Federal Reserve Chair Ben Bernanke as its newest member as per a statement by the company. As per the release, Ben Bernanke is a Distinguished Fellow at the Brookings Institution and led the the Federal Reserve from 2006 to 2014. 'He joins an independent body that works to hold Anthropic to its mission: the responsible development of advanced AI for the long-term benefit of humanity,' the company said. During his tenure at the US Federal Reserve Chair, Bernanke led the central bank through the 2008 global financial crisis and subsequent recovery. Before joining the government, Bernanke spent more than 20 years in academia, primarily at Princeton University, where he chaired the economics department. His influential research on the Great Depression and the role of banks in financial crises earned him the 2022 Nobel Prize in Economic Sciences. 'The potential of artificial intelligence is enormous, and so is the range of outcomes. How that potential plays out will depend, in part, on the institutions we build around it,' said Bernanke, as per the release. Bernanke further added Anthropic's unique governance structure is designed to ensure that the long-term benefits of artificial intelligence for humanity significantly outweigh its risks. 'I am honored to have this opportunity, and I will try to contribute in any way I can to this critical mission,' he said. Anthropic is a Public Benefit Corporation, structured to balance commercial success with broader societal benefit. Its Long-Term Benefit Trust serves as an independent oversight body, helping ensure the company develops and deploys AI responsibly while staying aligned with its long-term public interest mission. Neil Buddy Shah, Chair of the LTBT said, 'The institutions built around this technology will matter as much as the technology itself.' Commenting on Ben's appointment he said 'Ben spent eight years leading the Federal Reserve and guided the country through the worst financial crisis in nearly a century with expertise, independence, and sound judgment. That's the standard we look for in Trustees as AI's impact grows, and we're fortunate Ben has chosen to join us in this work.' (ANI)
Anthropic appoints former US Fed Chair Ben Bernanke to Long-Term Benefit Trust
New Delhi [India], July 10 (ANI): Anthropic's Long-Term Benefit Trust (LTBT) has appointed former US Federal Reserve Chair Ben Bernanke as its newest member as per a statement by the company. As per the release, Ben Bernanke is a Distinguished Fellow at the Brookings Institution and led the the Federal Reserve from 2006 to 2014. 'He joins an independent body that works to hold Anthropic to its mission: the responsible development of advanced AI for the long-term benefit of humanity,' the company said. During his tenure at the US Federal Reserve Chair, Bernanke led the central bank through the 2008 global financial crisis and subsequent recovery. Before joining the government, Bernanke spent more than 20 years in academia, primarily at Princeton University, where he chaired the economics department. His influential research on the Great Depression and the role of banks in financial crises earned him the 2022 Nobel Prize in Economic Sciences. 'The potential of artificial intelligence is enormous, and so is the range of outcomes. How that potential plays out will depend, in part, on the institutions we build around it,' said Bernanke, as per the release. Bernanke further added Anthropic's unique governance structure is designed to ensure that the long-term benefits of artificial intelligence for humanity significantly outweigh its risks. 'I am honored to have this opportunity, and I will try to contribute in any way I can to this critical mission,' he said. Anthropic is a Public Benefit Corporation, structured to balance commercial success with broader societal benefit. Its Long-Term Benefit Trust serves as an independent oversight body, helping ensure the company develops and deploys AI responsibly while staying aligned with its long-term public interest mission. Neil Buddy Shah, Chair of the LTBT said, 'The institutions built around this technology will matter as much as the technology itself.' Commenting on Ben's appointment he said 'Ben spent eight years leading the Federal Reserve and guided the country through the worst financial crisis in nearly a century with expertise, independence, and sound judgment. That's the standard we look for in Trustees as AI's impact grows, and we're fortunate Ben has chosen to join us in this work.' (ANI)
Elon Musk changes tune on Anthropic, calls it 'leader in AI'
In a dramatic turn of events, Elon Musk has praised its long-time rival Anthropic for its significant contributions in artificial intelligence, calling the tech company "leader in AI." In the competitive tech landscape, such a surprising u-turn has raised eyebrows as SpaceX CEO repeatedly took an aim at AI startups, questioning its capabilities to stand out as a winner in the race for frontier AI. To one's amazement, Musk clearly admitted in his post on X that he was wrong about Anthropic. In response to a discussion on X regarding Anthropic's utilization of SpaceX AI infrastructure, Elon Musk asserted that his company has surpassed its competitors in the field of artificial intelligence. "I was clearly wrong about Anthropic. They are obviously currently the leader in AI. No company has released a model as good as Mythos/Fable and they will undoubtedly have Mythos 2 ready soon," Musk replied. Speaking about the dependence of Anthropic on SpaceXAI's infrastructure, Musk clarified that he would never manipulate this relationship just to gain any edge. "And I would never cut them off in a way that hurt them badly, even as a competitor. That's not my style," he added. Moreover, Musk also asserted that Tesla's decision to open-source many of its patents also underpinned this mindset, adding, "we made the Supercharger network available to all competitors, even though we could have made it a walled garden." Such promising remarks represent a departure from a tone that has always criticized Anthropic. Last year, Musk posted, "Winning was never in the set of possible outcomes for Anthropic." Moreover, the CEO of Tesla also slammed Anthropic as "evil and misanthropic." However, in May 2026 the relationship became agreeable when US-based AI company struck a deal with SpaceX, leasing the full capacity of SpaceX's "Colossus 1" data center facility in Memphis, Tennessee. The facility provides over 220,000 NVIDIA GPUs and more than 300 megawatts of power.
Elon Musk says Anthropic is the current AI leader, praises Mythos and Fable models
Elon Musk now calls Anthropic the industry's current leader in artificial intelligence. He admitted being clearly wrong about the AI startup's potential outcomes. Anthropic is a major customer of Musk's SpaceXAI infrastructure company. The AI startup uses SpaceXAI's supercomputer for its advanced models. Musk stated he would never harm a competitor, citing Tesla and SpaceX examples. Elon Musk has praised artificial intelligence (AI) startup Anthropic, saying it is the industry's current frontrunner, in a significant shift from his earlier criticism of the company.Responding to a user on X, the billionaire entrepreneur said he had been 'clearly wrong' about Anthropic and described it as 'currently the leader in AI'. He also said no company had released a model comparable to Anthropic's latest ones, Mythos and Fable.
I was wrong: Elon Musk accepts Anthropic is AI leader, calls Mythos best model ever
Elon Musk says he was wrong about Anthropic. (Representational image made with AI) Elon Musk is not afraid to speak his mind, particularly when it comes to his rivals - just look at his feud with OpenAI's Sam Altman. But when it comes to Anthropic, the tech trillionaire seems to have made a U-turn, and accepted that he was completely wrong. On X, a user reposted Elon Musk's comments from September last year, where the SpaceX chief declared that "Winning was never in the set of possible outcomes for Anthropic." Musk, however, gave a candid response as he accepted that Anthropic was really leading the AI race. The SpaceX chief replied, "I was clearly wrong about Anthropic. They are obviously currently the leader in AI." In particular, Elon Musk praised Anthropic's Claude Mythos and Fable models. The two models were previously restricted by the US following concerns over cybersecurity. While Musk's SpaceXAI recently released Grok 4.5, and OpenAI, too, has launched GPT-5.6, the tech trillionaire believes that Anthropic remains a league ahead. Musk added, "No company has released a model as good as Mythos/Fable and they will undoubtedly have Mythos 2 ready soon." Keep in mind that in February this year, Elon Musk had fired shots at Anthropic, accusing the company of being "misanthropic and evil." To give you some context, the words anthropic and misanthropic come from the Greek word "anthropos" meaning human being. While anthropic relates to humanity, misanthropic refers to distrust towards humanity. Can Elon Musk cutoff Anthropic from SpaceX compute? Since Elon Musk made such comments about Anthropic, a lot has changed. Anthropic is now one of the largest customers of SpaceX. In May, the AI startup Anthropic signed a deal to lease the Colossus 1 supercomputer. The Colossus 1 includes more than 2,20,000 Nvidia GPUs with a capacity of 300 megawatts of compute. Under the arrangement, Anthropic agreed to pay about $1.25 billion a month through May 2029, in a deal described as worth roughly $40 billion in revenue for SpaceX's xAI unit. But either side can end the agreement on a 90-day notice. This has raised questions that Elon Musk may now hold leverage, as he can decide to turn off the compute access at any time. Keep in mind that SpaceXAI (previously xAI) is a direct rival to Anthropic, and the Grok 4.5 model is designed for coding, a field dominated by Anthropic's Claude Code. The user wrote, "If Elon wanted to kill Anthropic, he could. Iirc the compute lease was short term, 6 months from May without renewal promise." But Musk insists that he has no plans to use such a kill-switch. He said, "And I would never cut them off in a way that hurt them badly, even as a competitor. That's not my style." Elon Musk then cited examples from his other businesses. He pointed out that Tesla had open-sourced its patents and made the Supercharger network available to competitors, "even though we could have made it a walled garden." The tech trillionaire also discussed the platform X where he is often criticised. Musk wrote,"Even my worst enemies can attack me on this platform." The relationship also raises questions about what a host company can learn from supporting a rival's systems. During Musk's lawsuit against OpenAI, he acknowledged that AI "distilling" was real, a process described in the inputs as one company using multiple fake accounts to prompt a competitor's model and learn how it works. When asked whether xAI had ever distilled technology from OpenAI, Musk replied, "Generally AI companies distill other AI companies." Anthropic has previously accused Chinese model makers of doing this to Claude.
Anthropic appoints former US Fed Chair Ben Bernanke to Long-Term Benefit Trust
New Delhi [India], July 10 (ANI): Anthropic's Long-Term Benefit Trust (LTBT) has appointed former US Federal Reserve Chair Ben Bernanke as its newest member as per a statement by the company. As per the release, Ben Bernanke is a Distinguished Fellow at the Brookings Institution and led the the Federal Reserve from 2006 to 2014. 'He joins an independent body that works to hold Anthropic to its mission: the responsible development of advanced AI for the long-term benefit of humanity,' the company said. During his tenure at the US Federal Reserve Chair, Bernanke led the central bank through the 2008 global financial crisis and subsequent recovery. Before joining the government, Bernanke spent more than 20 years in academia, primarily at Princeton University, where he chaired the economics department. His influential research on the Great Depression and the role of banks in financial crises earned him the 2022 Nobel Prize in Economic Sciences. 'The potential of artificial intelligence is enormous, and so is the range of outcomes. How that potential plays out will depend, in part, on the institutions we build around it,' said Bernanke, as per the release. Bernanke further added Anthropic's unique governance structure is designed to ensure that the long-term benefits of artificial intelligence for humanity significantly outweigh its risks. 'I am honored to have this opportunity, and I will try to contribute in any way I can to this critical mission,' he said. Anthropic is a Public Benefit Corporation, structured to balance commercial success with broader societal benefit. Its Long-Term Benefit Trust serves as an independent oversight body, helping ensure the company develops and deploys AI responsibly while staying aligned with its long-term public interest mission. Neil Buddy Shah, Chair of the LTBT said, 'The institutions built around this technology will matter as much as the technology itself.' Commenting on Ben's appointment he said 'Ben spent eight years leading the Federal Reserve and guided the country through the worst financial crisis in nearly a century with expertise, independence, and sound judgment. That's the standard we look for in Trustees as AI's impact grows, and we're fortunate Ben has chosen to join us in this work.' (ANI)
Anthropic appoints former US Fed Chair Ben Bernanke to Long-Term Benefit Trust
New Delhi [India], July 10 (ANI): Anthropic's Long-Term Benefit Trust (LTBT) has appointed former US Federal Reserve Chair Ben Bernanke as its newest member as per a statement by the company. As per the release, Ben Bernanke is a Distinguished Fellow at the Brookings Institution and led the the Federal Reserve from 2006 to 2014. 'He joins an independent body that works to hold Anthropic to its mission: the responsible development of advanced AI for the long-term benefit of humanity,' the company said. During his tenure at the US Federal Reserve Chair, Bernanke led the central bank through the 2008 global financial crisis and subsequent recovery. Before joining the government, Bernanke spent more than 20 years in academia, primarily at Princeton University, where he chaired the economics department. His influential research on the Great Depression and the role of banks in financial crises earned him the 2022 Nobel Prize in Economic Sciences. 'The potential of artificial intelligence is enormous, and so is the range of outcomes. How that potential plays out will depend, in part, on the institutions we build around it,' said Bernanke, as per the release. Bernanke further added Anthropic's unique governance structure is designed to ensure that the long-term benefits of artificial intelligence for humanity significantly outweigh its risks. 'I am honored to have this opportunity, and I will try to contribute in any way I can to this critical mission,' he said. Anthropic is a Public Benefit Corporation, structured to balance commercial success with broader societal benefit. Its Long-Term Benefit Trust serves as an independent oversight body, helping ensure the company develops and deploys AI responsibly while staying aligned with its long-term public interest mission. Neil Buddy Shah, Chair of the LTBT said, 'The institutions built around this technology will matter as much as the technology itself.' Commenting on Ben's appointment he said 'Ben spent eight years leading the Federal Reserve and guided the country through the worst financial crisis in nearly a century with expertise, independence, and sound judgment. That's the standard we look for in Trustees as AI's impact grows, and we're fortunate Ben has chosen to join us in this work.' (ANI)
Z.ai Launches Programming Agent In Latest Anthropic Challenge
China's Zhipu AI brings out autonomous programming agent framework ZCode as it squares off against Anthropic, OpenAI worldwide Getting your Trinity Audio player ready... Chinese start-up Zhipu AI, also known as Z.ai, has launched a framework for using its tools in semi-autonomous coding agents, as it ramps up competition with Anthropic. The company, which trades on the Hong Kong stock exchange as Knowledge Atlas Technology - the English rendition of its Chinese name Zhipu Huazhang Keji - said the new ZCode harness would work with its latest mode GLM-5.2. ZCode helps large language models such as GLM-5.2 execute tasks autonomously, allowing them to be used to help independently collaborate on programming projects. AI programming Such tools have seen a surge in popularity since Anthropic's Claude Code became a viral success last autumn. Along with ZCode, Zhipu rolled out promotions including 50 percent higher data limits for existing subscribers and 5 million free tokens for new ZCode users. Zhipu's head of global operations, Li Zixuan, said in a social media post that the company had built ZCode with input from the developer community. Worldwide popularity The company has been taking advantage of recent disruption to Anthropic's latest releases to push GLM-5.2 out to more users, turning it into the third most widely used model worldwide, after models from Anthropic and OpenAI, according to rankings from Arena AI. Anthropic restored access to its latest models Mythos 5 and Fable 5 last week after the US administration lifted security restrictions.
'I was wrong about Anthropic', Elon Musk hails Claude Fable after Grok 4.5 release
Billionaire entrepreneur Elon Musk has publicly conceded that he was wrong about Dario Amodei's Anthropic, one of the biggest rivals of SpaceXAI, a year ago. Writing on social media as a reply to a post, Musk publicly admitted he was "clearly wrong about Anthropic." Musk's humble admission came hours after SpaceXAI released Grok 4.5 to the public, acing synthetic benchmarks as far as coding is concerned. Replying to a discussion initiated by a user regarding the competitive landscape, Musk walked back years of harsh criticism against Anthropic, which is currently leading the AI market with its Claude Fable and Opus 4.8 models. "I was clearly wrong about Anthropic," Musk wrote. "They are obviously currently the leader in AI. No company has released a model as good as Mythos/Fable and they will undoubtedly have Mythos 2 ready soon. And I would never cut them off in a way that hurt them badly, even as a competitor. That's not my style," he assured in his post. Musk's latest statements represent a complete 180-degree turn from his previous rhetoric. In September 2025, he bluntly asserted that "winning was never in the set of possible outcomes for Anthropic." More recently, in February 2026, after Anthropic raised a staggering $30 billion funding round, Musk slammed the company's Claude models as biased and predicted that the firm was "doomed." Musk's direct challenge to Anthropic followed by high praise Over the past year, Anthropic set the tone for the commercial AI industry by tuning its AI model for the developer community, and focusing on productivity tools. Claude, in its top-tier avatars, has been highly capable at coding, and its Fable 5 and Mythos 5 models have showcased what these models can do for cybersecurity and code development. To make its AI product more competitive, SpaceXAI is pushing Grok into the coding space and with Cursor - the AI startup focused on vibe coding - onboard the SpaceXAI team, Musk's team released Grok 4.5. The latest Grok 4.5 is heavily marketed as an "Opus-class model, but faster, more token-efficient, and lower cost." Priced at $2 per million input tokens and $6 per million output tokens, Grok 4.5 is intentionally positioned to aggressively undercut Anthropic's Claude enterprise pricing structure, all while offering similar levels of performance. Yet, even as Musk praised his model's real-world software engineering capabilities, he acknowledged that Anthropic's Mythos 5 and Fable 5 models as the gold standard in terms of raw capability. Independent evaluations back up Musk's humility. According to data from Artificial Analysis, while Grok 4.5 immediately established itself as the top-performing non-Anthropic model on the market, Anthropic's offerings still hold the definitive edge at the top of global benchmarks. Musk addresses the $40 billion compute question Musk's public reassurance eases all concerns related to cutting off Anthropic from its compute power, despite the rivalry between the two tech moguls. Back in May 2026, Anthropic signed a major infrastructure agreement to lease the entire capacity of SpaceX's Colossus 1 data center facility in Memphis. Powered by over 220,000 Nvidia GPUs and pulling more than 300 MW of power, the deal requires Anthropic to pay SpaceX roughly $1.25 billion monthly through 2029, putting the total value of the contract at over $40 billion. Previously, rumours had it that SpaceX might exercise a 90-day exit clause in the lease to stifle Anthropic's compute resources. Musk, however, shut down that speculation, pointing to a personal philosophy of competition based on principles. "Tesla open sourced its patents and we made the Supercharger network available to all competitors, even though we could have made it a walled garden. SpaceX launches competing satellite systems with no increase in price or use of unfair terms," wrote Musk, addressing how his companies help the competition. "Even my worst enemies can attack me on this platform," wrote Musk, referring to harsh critics and his rivals posting on X, opposing Musk's methods.
Anthropic appoints former US Fed Chair Ben Bernanke to Long-Term Benefit Trust
New Delhi [India], July 10 (ANI): Anthropic's Long-Term Benefit Trust (LTBT) has appointed former US Federal Reserve Chair Ben Bernanke as its newest member as per a statement by the company. As per the release, Ben Bernanke is a Distinguished Fellow at the Brookings Institution and led the the Federal Reserve from 2006 to 2014. 'He joins an independent body that works to hold Anthropic to its mission: the responsible development of advanced AI for the long-term benefit of humanity,' the company said. During his tenure at the US Federal Reserve Chair, Bernanke led the central bank through the 2008 global financial crisis and subsequent recovery. Before joining the government, Bernanke spent more than 20 years in academia, primarily at Princeton University, where he chaired the economics department. His influential research on the Great Depression and the role of banks in financial crises earned him the 2022 Nobel Prize in Economic Sciences. 'The potential of artificial intelligence is enormous, and so is the range of outcomes. How that potential plays out will depend, in part, on the institutions we build around it,' said Bernanke, as per the release. Bernanke further added Anthropic's unique governance structure is designed to ensure that the long-term benefits of artificial intelligence for humanity significantly outweigh its risks. 'I am honored to have this opportunity, and I will try to contribute in any way I can to this critical mission,' he said. Anthropic is a Public Benefit Corporation, structured to balance commercial success with broader societal benefit. Its Long-Term Benefit Trust serves as an independent oversight body, helping ensure the company develops and deploys AI responsibly while staying aligned with its long-term public interest mission. Neil Buddy Shah, Chair of the LTBT said, 'The institutions built around this technology will matter as much as the technology itself.' Commenting on Ben's appointment he said 'Ben spent eight years leading the Federal Reserve and guided the country through the worst financial crisis in nearly a century with expertise, independence, and sound judgment. That's the standard we look for in Trustees as AI's impact grows, and we're fortunate Ben has chosen to join us in this work.' (ANI)
Anthropic appoints former US Fed Chair Ben Bernanke to Long-Term Benefit Trust
New Delhi [India], July 10 (ANI): Anthropic's Long-Term Benefit Trust (LTBT) has appointed former US Federal Reserve Chair Ben Bernanke as its newest member as per a statement by the company. As per the release, Ben Bernanke is a Distinguished Fellow at the Brookings Institution and led the the Federal Reserve from 2006 to 2014. 'He joins an independent body that works to hold Anthropic to its mission: the responsible development of advanced AI for the long-term benefit of humanity,' the company said. During his tenure at the US Federal Reserve Chair, Bernanke led the central bank through the 2008 global financial crisis and subsequent recovery. Before joining the government, Bernanke spent more than 20 years in academia, primarily at Princeton University, where he chaired the economics department. His influential research on the Great Depression and the role of banks in financial crises earned him the 2022 Nobel Prize in Economic Sciences. 'The potential of artificial intelligence is enormous, and so is the range of outcomes. How that potential plays out will depend, in part, on the institutions we build around it,' said Bernanke, as per the release. Bernanke further added Anthropic's unique governance structure is designed to ensure that the long-term benefits of artificial intelligence for humanity significantly outweigh its risks. 'I am honored to have this opportunity, and I will try to contribute in any way I can to this critical mission,' he said. Anthropic is a Public Benefit Corporation, structured to balance commercial success with broader societal benefit. Its Long-Term Benefit Trust serves as an independent oversight body, helping ensure the company develops and deploys AI responsibly while staying aligned with its long-term public interest mission. Neil Buddy Shah, Chair of the LTBT said, 'The institutions built around this technology will matter as much as the technology itself.' Commenting on Ben's appointment he said 'Ben spent eight years leading the Federal Reserve and guided the country through the worst financial crisis in nearly a century with expertise, independence, and sound judgment. That's the standard we look for in Trustees as AI's impact grows, and we're fortunate Ben has chosen to join us in this work.' (ANI)
Anthropic appoints former US Fed Chair Ben Bernanke to Long-Term Benefit Trust
New Delhi [India], July 10 (ANI): Anthropic's Long-Term Benefit Trust (LTBT) has appointed former US Federal Reserve Chair Ben Bernanke as its newest member as per a statement by the company. As per the release, Ben Bernanke is a Distinguished Fellow at the Brookings Institution and led the the Federal Reserve from 2006 to 2014. 'He joins an independent body that works to hold Anthropic to its mission: the responsible development of advanced AI for the long-term benefit of humanity,' the company said. During his tenure at the US Federal Reserve Chair, Bernanke led the central bank through the 2008 global financial crisis and subsequent recovery. Before joining the government, Bernanke spent more than 20 years in academia, primarily at Princeton University, where he chaired the economics department. His influential research on the Great Depression and the role of banks in financial crises earned him the 2022 Nobel Prize in Economic Sciences. 'The potential of artificial intelligence is enormous, and so is the range of outcomes. How that potential plays out will depend, in part, on the institutions we build around it,' said Bernanke, as per the release. Bernanke further added Anthropic's unique governance structure is designed to ensure that the long-term benefits of artificial intelligence for humanity significantly outweigh its risks. 'I am honored to have this opportunity, and I will try to contribute in any way I can to this critical mission,' he said. Anthropic is a Public Benefit Corporation, structured to balance commercial success with broader societal benefit. Its Long-Term Benefit Trust serves as an independent oversight body, helping ensure the company develops and deploys AI responsibly while staying aligned with its long-term public interest mission. Neil Buddy Shah, Chair of the LTBT said, 'The institutions built around this technology will matter as much as the technology itself.' Commenting on Ben's appointment he said 'Ben spent eight years leading the Federal Reserve and guided the country through the worst financial crisis in nearly a century with expertise, independence, and sound judgment. That's the standard we look for in Trustees as AI's impact grows, and we're fortunate Ben has chosen to join us in this work.' (ANI)
From Critic To Admirer? Elon Musk Praises Anthropic's Mythos, Fable; Calls It 'Leader In AI'
Musk has been a vocal critic of Anthropic in the past. Wikimedia Commons Tech trillionaire Elon Musk has publicly praised Anthropic, calling the AI company "obviously" the current leader in the field and hailing its Mythos and Fable models as unmatched by any competitor's offerings. "I was clearly wrong about Anthropic. They are obviously currently the leader in AI. No company has released a model as good as Mythos/Fable and they will undoubtedly have Mythos 2 ready soon," Musk wrote in a post on X published late Thursday. The remarks mark a notable shift in tone from Musk, who has been a vocal critic of Anthropic in the past. In the same post, he sought to address speculation that he might use his position as a competitor to disadvantage the company, writing that he would "never cut them off in a way that hurt them badly, even as a competitor," adding, "That's not my style." Musk pointed to his own companies' track records on competitive openness to back his claim. He cited Tesla's decision to open-source its patents and make its Supercharger network available to rival automakers despite the option to keep it exclusive, as well as SpaceX's practice of launching competing satellite systems without raising prices or imposing unfair terms on rivals. ALSO READ: Former Fed Chairman Ben Bernanke Joins Anthropic Oversight Trust The trillionaire also referenced the scrutiny he faces on X, the platform he owns, writing that "even my worst enemies can attack me on this platform." Musk's comments come amid intensifying competition in the artificial intelligence sector, where companies including Anthropic, OpenAI, and Musk's own xAI have been racing to release increasingly capable models. Anthropic's Mythos and Fable models, referenced in Musk's post, have positioned the company at the centre of that competition in recent months. Musk did not elaborate further on what prompted his change in stance toward Anthropic, a company he has previously sparred with over AI safety approaches and business practices. ALSO READ: Will AI Replace Your Job? Here's What TCS Actually Said Essential Business Intelligence, Sharp Market Insights, Practical Personal Finance Advice, Daily Fuel, Gold and Silver Prices and Latest Stories -- On NDTV Profit.
Elon Musk Says SpaceX Would Be Worth More Than Earth if It Achieves Its Goals Amid First AI Satellite Rev
SpaceX to Exceed Earth's Value? "I wonder if History will look back at this $7.5-40B Anthropic/SpaceXai deal as the biggest unforced error of the AI era," the user said, while also outlining that the deal could hinder Anthropic's IPO as users could transfer most token exchange to SpaceX and "Claude is only used for the top tasks." Musk responded to the user, sharing his own take on the matter. "You don't seem to understand that SpaceX will be worth more than the rest of Earth if we accomplish our goals," he said in the post. SpaceX Touts New AI Satellite On Thursday, SpaceX also revealed renderings of the company's AI1 satellite, part of its Starmind constellation, which is a constellation of satellites dedicated to AI compute. The satellites will support chips from all providers and possess a 150 kW peak compute payload, as well as an average payload compute of 120 kW. The satellites will have a wingspan of 70 meters and have a 150 kW solar array. Notably, Musk has been a staunch supporter of orbital AI compute, most recently saying it was the only way to overcome Earth-based bottlenecks to AI compute. "Space is the only way to scale at scale," the trillionaire had said. Benzinga Edge Rankings show SpaceX fails to provide a favorable price trend in the Short, Medium and Long term. Price Action: SpaceX shares were up 0.06% at $152.25 during the after-hours session on Thursday. Photo courtesy: Shutterstock Market News and Data brought to you by Benzinga APIs To add Benzinga News as your preferred source on Google, click here.
Anthropic appoints former US Fed Chair Ben Bernanke to Long-Term Benefit Trust
New Delhi [India], July 10 (ANI): Anthropic's Long-Term Benefit Trust (LTBT) has appointed former US Federal Reserve Chair Ben Bernanke as its newest member as per a statement by the company. As per the release, Ben Bernanke is a Distinguished Fellow at the Brookings Institution and led the the Federal Reserve from 2006 to 2014. 'He joins an independent body that works to hold Anthropic to its mission: the responsible development of advanced AI for the long-term benefit of humanity,' the company said. During his tenure at the US Federal Reserve Chair, Bernanke led the central bank through the 2008 global financial crisis and subsequent recovery. Before joining the government, Bernanke spent more than 20 years in academia, primarily at Princeton University, where he chaired the economics department. His influential research on the Great Depression and the role of banks in financial crises earned him the 2022 Nobel Prize in Economic Sciences. 'The potential of artificial intelligence is enormous, and so is the range of outcomes. How that potential plays out will depend, in part, on the institutions we build around it,' said Bernanke, as per the release. Bernanke further added Anthropic's unique governance structure is designed to ensure that the long-term benefits of artificial intelligence for humanity significantly outweigh its risks. 'I am honored to have this opportunity, and I will try to contribute in any way I can to this critical mission,' he said. Anthropic is a Public Benefit Corporation, structured to balance commercial success with broader societal benefit. Its Long-Term Benefit Trust serves as an independent oversight body, helping ensure the company develops and deploys AI responsibly while staying aligned with its long-term public interest mission. Neil Buddy Shah, Chair of the LTBT said, 'The institutions built around this technology will matter as much as the technology itself.' Commenting on Ben's appointment he said 'Ben spent eight years leading the Federal Reserve and guided the country through the worst financial crisis in nearly a century with expertise, independence, and sound judgment. That's the standard we look for in Trustees as AI's impact grows, and we're fortunate Ben has chosen to join us in this work.' (ANI)