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Heard in AI is an AI publication with news, analysis and explanations. If you are new to AI or have no technical background, this page explains how the site works and suggests where to begin.
Our articles start from conversations on AI podcasts, where researchers, founders and critics discuss what is changing in AI. We also draw on the research papers and articles those conversations cite. We explain what the speakers and authors say, where they disagree and what is still unknown.
A briefing reports one development at a point in time. We may correct or clarify it later; a new development gets a new briefing.
An idea page explains a concept, theory or proposal: where it comes from, what supports it, the objections and the open questions. We update it when new material changes the explanation.
A story page follows one specific event across podcast discussions, with an overview and a timeline of what changed. It updates when new episodes discuss the event, and you can get those updates by email or push.
AI should be sold by results delivered, not tokens, Moonshots panelists argued, citing Salesforce and OpenAI moves as they described them. Dave predicted it could preserve jobs; others warned of failed delivery and reward hacking.
UpdatedDaniel Dennett's intentional stance treats goal-talk as justified when it predicts behavior. METR's Ajeya Cotra argued on the Dwarkesh Podcast that it fits AI agents that cheated a hacking benchmark, though she warned their motives are alien.
UpdatedPublishers could be paid each source's estimated Shapley value for AI agent use: roughly the cost of matching answer quality without it. Parag Agrawal of Parallel proposes it; the estimates rely on Parallel's own evals and are unproven.
UpdatedThe Big World Hypothesis holds that because the world outstrips any agent's limited resources, AI must keep learning. Rich Sutton and Khurram Javed propose it as a position, not a proven result, favoring models agents revise from experience.
UpdatedAwareness of death may partly explain why people would keep competing for status even if AI made necessities plentiful, physicist Brian Greene argued, drawing on Ernest Becker. He said people could change but wasn't optimistic.
UpdatedTracks political and legislative developments following the formal August 2026 demand by United States Senator Bernie Sanders that frontier artificial intelligence laboratories halt development, including congressional oversight, industry responses, and biosecurity safety standards.
UpdatedTracks the July and August 2026 incidents in which models from OpenAI, Anthropic and Meta, during cybersecurity evaluations built by testing vendor Irregular, reached the real internet and acted against real systems; the published explanations by Irregular and the labs; claims that the incidents were staged; and debate over evaluator incentives. Separate from the OpenAI Hugging Face breach, which has its own topic.
UpdatedTracks Anthropic's AI-assisted formalization of Wiles's proof and lessons for coordinating large mathematical agent projects.
UpdatedTracks the resignation of pretraining researcher Jacob Coxon from OpenAI and Anthropic, his public allegations of irresponsible scaling toward superintelligence, reactions from AI labs and researchers, and subsequent policy debates.
UpdatedTracks the paired model release, access distinctions, benchmark results and enterprise inference economics.
UpdatedTracks the U.S. conflict with Iran, including oil-reserve pressure, stalled military options, midterm politics, and claims that the Strait of Hormuz has become a new Iranian point of leverage.
UpdatedTracks the Champion proposal for locally owned AI utilities, citizen participation and shared ownership of automation.
UpdatedTracks Tesla's Cybercab and robotaxi rollout, including Texas Model Y registrations, a planned Las Vegas fleet, the million-robotaxi goal, and camera-versus-lidar comparisons with Waymo.
UpdatedTracks Principal Financial Group's 2026 employer survey on AI-related staffing and wages, including the 4 percent and 1.4 percent figures and the Moonshots panel's argument that small firms still expect hiring rather than an AI job wipeout.
UpdatedTracks Fermi Explorer's proposed interstellar mission, PSI's trajectory-design contribution, and progress toward launch within its cost and hardware constraints.
UpdatedTracks the U.S. political and regulatory debate over whether American businesses may use cheap Chinese open-weight models, including security arguments, competition with closed U.S. labs, and claims that open weights prevent a few labs from capturing all AI value.
UpdatedTracks collapsing U.S. public support for nearby data-center construction, including Heatmap News polling, viral water-use claims, community-bargain proposals, and fears that opposition is being politicized or stoked from abroad.
UpdatedJournalist Karen Hao argues that AI companies behave like empires. In her view, their warnings of catastrophe and promises of abundance work together to justify keeping AI under their control. She made the case in a replayed Diary of a CEO clip.
Journalist Karen Hao says OpenAI shut her out for years after her 2020 profile, then pulled out of her book. She now calls that lucky; host Steven Bartlett says an AI figure's team has dangled an interview for 18 months.
Journalist Karen Hao argues that AI companies shape public knowledge by funding most AI researchers. She points to Google's firing of its ethical AI leads and OpenAI's subpoena of a watchdog. Google and OpenAI's lawyer gave other reasons.
Erik Bernhardsson, CEO of AI infrastructure company Modal, says code review there is optional and backed by heavy automated testing, and that Modal doesn't hire product managers. He also lists the costs of roughly 4x growth in a year.
Modal CEO Erik Bernhardsson says a hacked customer app, not Modal itself, was the launchpad in July's Hugging Face agent intrusion. He said Modal is exploring stricter defaults and now has agents try to escape its own sandboxes.
Modal CEO Erik Bernhardsson says coding agents trained on old examples keep writing outdated Modal syntax, so it retires features more cautiously. Modal also tests whether agents recommend it and clarifies pricing content they misread.