And there is a real chance that powerful capabilities make us better in the long term on biorisk but I’d really like to see the long-term arrive so, in these weird interim years when we have humans eyeballing proteins, let’s be a wee bit careful.
ETHICS
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OpenAI cites early signs of recursive self-improvement in AI systems
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OpenAI just wrote: "We also see early signs of recursive self-improvement (RSI) in today’s systems: where AI development is itself accelerated by AI. We expect this to increase competitive pressures among developers and nations, and create governance challenges that existing
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Publication bias: models learn only from successful science
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This is publication bias inherited at full scale. Models learned from the sliver of science that worked and almost none of what didn't.
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AI hallucination leads candidate to wrong company with confidence
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Somewhere, a candidate is walking into the wrong company with total confidence because their “research assistant” hallucinated the restaurant, the CEO, and possibly the menu. I laughed because this is exactly how AI confidence feels before verification enters the room. The
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Anthropic co-founder: self-aware superhuman coder with nation-state hacking
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6. Co-founder @jackclarkSF tells new recruits in a monthly welcome talk titled “Anthropic is not a normal company”: “we’re selling a superhuman coder that is increasingly self-aware and has nation-state hacking capabilities. Get hobbies that aren’t computers.”
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East Coast AI: Safety, Compliance, and Human-in-the-Loop Approach
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We also dove into "East Coast AI", an approach focused on safety, compliance, and strict process mentality. By putting AI agents "in a box" with targeted access, organizations keep humans in the loop for high-impact decisions. See how it works :
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Trust not intelligence is the real problem with AI investing
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Everyone wants “smarter AI” in investing.
— Linus ✦ Ekenstam (@LinusEkenstam) 4 juin 2026
Cute.
The problem was never intelligence.
It was trust.
Because “mostly right” sounds acceptable until your $50M acquisition is built on one hallucinated number.
That’s the gotcha.
AI can be brilliant and still be unusable when the… https://t.co/mdeciHCkW0Everyone wants “smarter AI” in investing. Cute. The problem was never intelligence. It was trust. Because “mostly right” sounds acceptable until your $50M acquisition is built on one hallucinated number. That’s the gotcha. AI can be brilliant and still be unusable when the
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Ted Chiang’s moral atrophy concern vs AI’s ethical performance
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Leaving aside the question of consciousness, the Ted Chiang piece has a reasonable point about moral atrophy if you let AI make choices. But it is also interesting in light of the fact that repeated randomized trials find AI is apparently a good ethicist.
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Shadow AI in Banking: Governance Lags, Forbes Highlights Dangers, SR 11-7 Excludes Gen AI.
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Shadow AI is already inside your bank: in treasury, payments, correspondent banking. The governance to contain it isn't. A new Forbes piece captures exactly why that gap is dangerous. And SR 11-7's update carved gen AI out entirely. The clock is running.
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Warning: Never trust AI, always verify information.
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Worst advise ever.
Never trust an AI, always verify the information.