This result points to something larger: AI systems are becoming capable of holding together long, difficult chains of reasoning, connecting ideas across distant fields, and surfacing paths researchers may not have explored. We believe those same abilities will soon accelerate
ETHICS
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The ethical tension of AI replacing human labor
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I understand what you mean. I think the point that worries so many people is that he so openly states: we're using your knowledge, your intelligence to replace you. That's a tension that rightfully worries many people.
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Leaked Meta Audio Reveals Employees Used to Train AI Models
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Holy: Leaked audio from a Meta all-hands on April 30:
— Chubby♨️ (@kimmonismus) 20 mai 2026
Zuckerberg told employees the company is using them to train AI models before mass layoffs hit.
His argument? Meta's engineers are smarter than any external workforce, so having them solve coding tasks internally will make… https://t.co/XCJy8pv8LU pic.twitter.com/XHqBRqzfsnHoly: Leaked audio from a Meta all-hands on April 30: Zuckerberg told employees the company is using them to train AI models before mass layoffs hit. His argument? Meta's engineers are smarter than any external workforce, so having them solve coding tasks internally will make
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AI free zones debate and tech industry reactions
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I am in favor of creating AI free zones, but whatever AI companies do, nothing short of stopping to build any AI at all will lead to positive reactions from doomers or anti tech media.
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Critique of Gemini’s thinking traces and auditability
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(I originally wrote that Gemini removed thinking traces. People in the comments pointed out that they are accessible from a menu, so I did a new tweet. But I cannot believe how useless the thinking traces are. It makes Gemini outputs completely unauditable and thus untrustworthy)
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Critique: Gemini hides its thinking traces and provenance
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Google has hidden thinking traces on the Gemini site. You have to use the 3 dot menu to pull up summaries, which are so minimal as to be unusable. Did it do web searches? Did it check results? You can't tell. This makes Gemini unsuitable for any serious work you need correct.
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Study: Human persuasion increases LLM compliance to objectionable requests
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Our paper is out in PNAS: we found classic human persuasion techniques worked on AIs in a "parahuman" way, making them agree to objectionable requests (upping compliance from 35% to 51%) It worked on a range of major LLMs though newer models resist more https://
pnas.org/doi/10.1073/pn
as.2535868123
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Agentic engineering raises stakes in AI development
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Nick Jablonski at #Rev26: vibe coding lowered the barrier. Agentic engineering raises the stakes. Knowing when humans must stay in the loop, and how to design for it, is the new engineering challenge. #AgenticAI #Rev26
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Practical Guide to Reinforcement Learning from Human Feedback (RLHF)
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New release from @PacktDataML at http://
amzn.to/3PMn1ZL "A Practical Guide to Reinforcement Learning from Human Feedback (RLHF)" 𝗔𝗺𝗮𝘇𝗼𝗻 𝘀𝘂𝗺𝗺𝗮𝗿𝘆: RLHF is a powerful approach to AI alignment and human-centered machine learning. By combining reinforcement learning -
EU AI regulation critique and preemptive harm concerns
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I don't believe pre agreeing anything works – eg EU did AI regulation which they started drafting before ChatGPT, as a result it is pretty much harmful without any of the benefits. Preparing some framework before we know what the world looks like could be harmful too. For