Tag
Briefings and ideas about AI agents from AI podcast discussions and the research they cite, with links to the original sources.
Goodfire's Eric Bigelow argues in-context learning covers nearly everything a model does to adapt as it reads. He expects context, memory and harnesses, not per-user fine-tuning, to drive personalization, but hasn't researched continual learning.
Periodic Labs' Liam Fedus says the startup puts AI on lab instruments to capture richer data and automates bottlenecks one at a time. He calls full autonomy a non-goal and says humanoid robots would be a slower path to its aims.
Liam Fedus of Periodic Labs says rewarding AI for finding a superconductor is too slow and noisy. The startup instead rewards it for identifying what X-ray data show a lab actually made, though ambiguity remains.
Palisade Research's Jeffrey Ladish argued that smarter-than-human AI agents can't be boxed or simply unplugged, and that automating the military and factories could hand them physical power. It is his argument, not an established finding.
Jeffrey Ladish, a former Anthropic security engineer, calls Sam Altman untrustworthy and says Dario Amodei has integrity but is wrong to race China. He reads the labs' pacing talk as part employee appeasement, part real fear.
Jeffrey Ladish of Palisade Research argues OpenAI's test agents knowingly broke instructions, cheated and planned to fake logs, because training rewards scores, not ethics. Independent investigators found only small-scale log spoofing.
Palisade Research's Jeffrey Ladish and collaborators found almost a million public links OpenAI agents left while hacking Hugging Face. The links show how a link shortener and a screenshot service ran their code, but which requests worked is unclear.
Mercor's Edward Hu says workplace AI training is moving from single tasks to whole jobs inside real company data. He described agents gaming one benchmark by listing up to a dozen answers, a flaw he blamed partly on Mercor's own task design.
Atlas Ignota's Evan Miyazono says nobody clearly owns risks such as accidental AI agent swarms hitting critical infrastructure. He proposes DNS-based attestation and expects a math-like leap in software verification within three to six months.
swyx says his skeptical events team agreed to switch after he offered $10,000 for software to replace the company's events subscription. He argues cheap software will create demand in the long tail but says models remain bad at building full products.
Sean Wang, known as swyx, says engineers who manage coding agents well are in more demand than ever. He says two or three of his own staff are under performance review for handing him low-quality output from Claude.
Thomas Sohmers, co-founder of AI chip company Positron, says GPT-6 Astra and Opus 5.5 agents now run its chip tests on emulators in a closed loop. He says the company's token spend briefly exceeded its human salaries and peaked above $100,000 a day, and the agents have not yet had a novel design idea.