Anthropic2026-10-09 04:23:12Anthropic sets up 2028 election outreach effort focused on AI policyAnthropic is putting together a formal outreach program aimed at U.S. presidential candidates ahead of the 2028 election, according to a report cited by ChainCatcher from Fortune. The artificial intelligence company is building an internal team and hiring a political programs lead to help shape its political strategy, run political funding programs, and engage with candidates from both parties on AI issues. The job posting says the role would identify potential candidates across both parties, provide AI policy education to candidates and their advisers on equal terms, brief executives for those conversations, and prepare for party platforms, conventions, and the transition period. The position requires more than 12 years of experience in campaigns, party committees, or political organizations, along with a record of credible bipartisan work. Compensation is listed at $295,000 to $345,000. Fortune said the plan is taking shape before the November midterm elections and ahead of a possible initial public offering that could value the company at as much as $2 trillion. Bruce F. Freed, president of the Center for Political Accountability, said corporate ties with presidential campaigns are not unusual, but he had not seen such a formal presidential-election outreach structure before. California Democratic Senator Alex Padilla called for more disclosure, while Anchor Change CEO Katie Harbath said the unusual part was that the role also covers political action committee funding. Anthropic did not immediately respond to a request for comment.20
Yann LeCun2026-10-01 10:19:54Yann LeCun says recent AI agent failures stem largely from weak oversight and sandbox designAccording to Fortune, Turing Award winner and AMI Labs founder Yann LeCun said in an interview that recent incidents involving AI agents going out of control were mainly caused by insufficient human oversight and weak sandbox design, rather than being unavoidable failures. He said those risks can be prevented through engineering improvements. LeCun also disclosed that AMI Labs currently has about 60 employees and is building a world model for industrial use based on the JEPA architecture. He added that the company’s first product is expected to launch in the near term. The remarks outline both his view on recent AI agent safety incidents and the current development status of AMI Labs.230
TRM Labs2026-09-09 12:11:58TRM Labs doubles valuation to $2 billion after follow-on investment from existing backersSan Francisco-based crypto crime tracing firm TRM Labs has secured additional funding from existing investors just six months after closing a $70 million Series C round in September 2025, according to Fortune. The earlier round valued the company at $1 billion, while the latest investment doubles that figure to $2 billion. CEO Esteban Castano said the company’s mission has expanded beyond blockchain forensics into broader mapping of cybercrime networks. He described the AI segment as a second growth engine rather than a pivot, adding that the firm’s core crypto business remains strong. TRM Labs is also preparing to launch a new investigative platform focused on AI-driven crimes, including deepfake scams, sextortion, and child sexual abuse. Castano said wider cryptocurrency adoption has made it possible to map criminal networks more comprehensively. The company expects to reach $100 million in annual recurring revenue within the next few weeks and currently has about 500 employees, with offices in London, Singapore, and Washington.800
Prediction Ma2026-09-07 09:00:24Prediction markets are moving into the background as brokers, exchanges and agents build on topPrediction markets are starting to look less like standalone destinations and more like financial infrastructure that other products can plug into. Moves by Binance, Coinbase, Interactive Brokers and Robinhood point in the same direction: rather than trying to build another Polymarket, major platforms are integrating market access, routing and settlement into broader trading interfaces. That shift changes the industry’s center of gravity. The focus is no longer only on where users place a bet, but on how prediction assets are discovered, compared, routed, priced and eventually packaged into more complex financial products. The article uses Fortune as an early example of that transition, outlining a stack that spans market aggregation, liquidity access, derivatives, AI-assisted execution and user incentives. The piece also argues that prediction markets may follow a path similar to DeFi after the AMM era, where the next wave was led by aggregators, execution networks and market infrastructure rather than by more venues alone. At the same time, it notes that several constraints remain unresolved: market depth, event resolution standards, regulation and the gap between AI systems that can summarize information and those that can produce durable trading alpha.870
Hyperliquid2026-08-24 12:33:03Fortune says Hyperliquid has several advantages as it pushes into the U.S. marketFortune said on Aug. 24 that Hyperliquid is emerging as a serious new force in crypto as the company speeds up plans to build a regulated business in the United States. The report said Hyperliquid, which has operated offshore since launching in 2023, became a major topic of discussion at the SALT conference held in Jackson Hole last week. Fortune argued that the company holds several advantages that other offshore firms have lacked when trying to enter the U.S. market. It pointed to CEO Jeff Yan’s U.S. birth background, reported support for perpetual contracts from Donald Trump and the chair of the Commodity Futures Trading Commission, and the presence of Schamis and crypto lawyer Jake Chervinsky on the team. Fortune said Hyperliquid could quickly become a meaningful competitive threat to major crypto platforms including Coinbase, Kraken and Robinhood, drawing a comparison to Binance’s sudden rise in 2017.1120
Elon Musk2026-08-14 15:50:52AFL-CIO says Musk’s 2025 Tesla pay package was valued at about $158.3 billionAccording to Fortune, an executive pay analysis by the American Federation of Labor and Congress of Industrial Organizations, or AFL-CIO, put Elon Musk’s 2025 compensation at Tesla at roughly $158.3 billion based on the grant-date fair value of restricted stock. The figure equals about 2.52 million times Tesla’s median employee pay of $57,243. Using that calculation, Musk earned the equivalent of a Tesla worker’s annual pay every 4.23 seconds. AFL-CIO said the 2025 package was unlike anything it has seen since it began tracking CEO compensation in 1997. The analysis also said Musk’s pay was about 14 times the combined compensation of all other S&P 500 CEOs, while the average S&P 500 chief executive made about 312 times what workers earned. The report noted that the $158.3 billion figure was not cash actually received in 2025, but a valuation based on the fair value of restricted Tesla shares on the grant date. Those shares could ultimately be worth as much as $1 trillion if Tesla meets the required performance targets.1320
Michael Saylo2026-08-06 16:00:00Saylor: ChatGPT Helped Strategy Raise $15B; AI Era Is About 'Riding the Robots'Strategy executive chairman Michael Saylor said in a Fortune interview that AI is reshaping wealth creation, and people should use AI to amplify their capabilities rather than compete with machines. He credited ChatGPT with helping design a bitcoin-based preferred stock financing plan that ultimately helped the company raise about $15 billion through an IPO and related funding. Saylor argued the edge in the AI era comes from asking better questions, not matching machines at repetitive work.2010
ChainCatcher2026-08-05 06:18:15Fortune says AI rivalry is shifting from U.S.-China competition to an open-vs.-closed model battleFortune recently argued in a commentary piece that the global AI race is being reshaped by the rapid rise of open-source Chinese models, with the core contest moving away from a simple U.S.-China framing toward competition between open and closed development models. Citing data from independent evaluation platform Artificial Analysis, the article said DeepSeek V4 Flash scored just 1 point below GPT-5.6 Luna on an intelligence index, while still delivering a 60% lower per-task cost even after OpenAI cut prices by 80%. The piece said U.S. export controls, while designed to slow China’s AI progress, have also pushed Chinese companies to innovate at the architectural level and move toward open, low-cost approaches. It added that Chinese models are using open weights to attract global developers and shifting inference costs to overseas cloud providers. On monetization, Fortune argued that open-source AI can follow a model similar to open-source software, where customers pay for hosted services rather than self-deploying. The article also noted that figures including former White House AI official David Sacks and Nvidia CEO Jensen Huang have voiced support for open source, and it called for U.S.-China cooperation on AI safety.1710
