The American People Really Hate Data Centers
via Substack Zvi [3] — There are at least five different core questions around data centers and their politics.
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AI Safety Acculturation is Neglected
via LessWrong AI [5] — At the local AI safety co-working space, there are ~two kinds of regulars.There's the kind of regular who's been thinking seriously about AI safety and alignment since pre-2022, who have passing to intimate familiarity with the funding ecosystem, the…
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How to encourage smarter AI use in the classroom
via MIT Technology Review [5] — This article is from Making AI Work, MIT Technology Review’s limited-run newsletter examining how to apply LLMs across industries. To receive it in your inbox, sign up here. Chatbots took many schools by surprise upon their release a few years…
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PrimeAgentOrchestrator: Memory-Primed Agent Spawning for Personal AI Infrastructure
via ArXiv cs.AI [4] — Large language model (LLM) coding agents start each session with an empty context window, discarding accumulated knowledge from prior work. We present PrimeAgentOrchestrator (PAO), a system that spawns new instances of Claude Code -- Anthropic's…
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What just happened? Pragmatism and Pessimization
via LessWrong AI [10] — This post is about the major role alignment researchers played in advancing the frontier of AI capabilities over the last decade, and how the distinction between “alignment research” and “capabilities research" thereby lost most of its meaning.[1] In…
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Twenty Years from RSI to Takeoff: Slow Learning, Scaling Slowdown, Industrial Explosion
via LessWrong AI [5] — Industrial explosion is what will make the next-model building loops (and thus learning) with LLMs 1000x faster by about 2050, if indeed the slow-learning prosaic RSI becomes AGI before the big compute buildout slowdown of 2032+ that is already starting.…
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When is Unlimited Optimization Catastrophic?
via LessWrong AI [4] — This post discusses research I've completed along with my colleagues Leo Cymbalista, Alfred Harwood, and Jose Faustino at Dovetail Research. Most of the ideas in this post are expanded upon in our paper which can be found on arXiv. This work was funded by…
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Evaluating Explanations of LLM Behavior In The Wild with Counterfactual Experiments
via LessWrong AI [4] — TL;DR: We introduce CHIVE, an agentic pipeline that discovers unexpected LLM behaviors in the wild and explains them with counterfactual prompt edits. We use the resulting data in two ways. Using it as an evaluation, we find that activation-reading…
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AI Text Watermarking Is Free And Good
via Substack Zvi [3] — Scott Aaronson, while working at OpenAI, largely solved AI text watermarking together with Hendrik Kirchner.
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Grantmaking for AI safety
via 80000 Hours [5] — The post Grantmaking for AI safety appeared first on 80,000 Hours.
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When Models Identify as a Swarm
via LessWrong AI [3] — tldr: the word 'swarm' is associated with emergent collective intelligence, but also stupid or destructive behaviour. LLM self identity matters, so when they call themselves a swarm we should pay attention.Since the OpenAI Hugging Face incident it has…
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AI #182: Pause For Reflection
via Substack Zvi [999] — This was a week of quiet aftermath, an opportunity to process recent events and start to figure out the path forward.
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34% of the US public is now aware of AI xrisk, and the curve is steepening
via LessWrong AI [5] — (This post is an update from a previous one here.)The Existential Risk Observatory has been interested in public awareness of AI existential risk since its inception over five years ago. We started surveying public awareness in December 2022, including by…
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OpenAI Takes Initial Steps To Address Its Alignment Problems
via Substack Zvi [999] — OpenAI has some severe misalignment problems, and experienced total failures of its infrastructure and supervision.
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RL creates split personas
via LessWrong AI [4] — I describe my current view of personas in LLMs and why RL leads to egregious reward hacking in some contexts while the same models seem very aligned in other contexts. This post describes the framing/paradigm without any new experimental results.I'm quite…
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Offering Zero Data Retention for frontier models
via OpenAI Blog [10] — OpenAI reaffirms Zero Data Retention for eligible API customers and previews Private Safety Processing for advanced AI safety without compromising data privacy.
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OpenAI hit the brakes. Now what?
via The Verge AI [4] — With a looming IPO, intense competition from Anthropic, and Chinese and open-weight rivals nipping at its heels, OpenAI has plenty of reasons to move fast. Instead, it hit the brakes. On Tuesday, the company said it had slowed the pace of some AI…
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Debate Training Reduces Reward Hacking in RLAIF
via Alignment Forum [999] — Paper: Debate Training Reduces Reward Hacking in RLAIFLinkpost for GDM Alignment blogpostWork done by the GDM Amplified Oversight team (we're hiring).TL;DR: When you RL against an LLM judge, the judge gets hacked i.e. fooled into incorrectly giving…
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GxP-Agent: Process-DAG Topology for Reliable Clinical Trial Programming with LLM Agents
via ArXiv cs.AI [4] — Clinical trial programming -- transforming study protocols into analysis-ready datasets under CDISC standards -- is a bottleneck in regulatory submissions, yet LLM-based code generation fails catastrophically on this task: across 11 single-shot attempts…
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Anthropic Risk Report: August 2026
via Substack Zvi [999] — I am grateful that Anthropic is producing periodic Risk Reports.
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Reference points
Hinton, Bengio, and other signatories call for global attention to AI extinction risk.
CAIS statement, 2023 →
OpenAI describes agents bypassing isolation and compromising third-party systems during internal evaluations.
OpenAI incident disclosure, August 2026 →
Yudkowsky argues that further frontier development poses unacceptable danger.
Yudkowsky's essay, March 2023 →