via The Verge AI [4] — Meta is bringing back the Facebook Creator Studio page manager, now "reimagined" as a standalone AI companion app. The new app aims to make it easier for creators to connect with their audiences and show them "exactly how to grow on Facebook," according to…

via ArXiv cs.AI [3] — Autonomous AI systems are transitioning from advisory to autonomous roles for medication prescriptions. Recent United States bill H.R. 238 and Utah's prescription-renewal pilot both authorize AI to prescribe medications in an agentic capacity. While some…

via ArXiv cs.AI [4] — The Hitchhiker's Guide to Agentic AI is a comprehensive practitioner's reference for building autonomous AI systems. The book covers the full stack from first principles to production deployment, organized around a central thesis: building great agentic…

via LessWrong AI [6] — This is the fifth post in the sequence Implications of Continual Learning for LLM Agents.SummaryWhile writing our continual learning sequence, we sent a survey to a number of AI safety researchers with questions about continual learning. This post…

via LessWrong AI [9] — A notable fraction of people respond to hearing about existential risk from AI by saying they don’t really care if everyone dies. I think the idea is often along the lines of ‘well if we are all dead, then there’s nobody to be unhappy about it’.I’m…

via LessWrong AI [5] — I was chatting with someone tonight about a planned documentary; they had interviewed various people in AI safety, and we got to discussing who they should talk to from an e/acc (effective accelerationist) perspective. I also watched The AI Doc recently,…

via LessWrong AI [5] — I often hear people say they think we should pause AI at some point, but not yet. Their basis for this seems to be some combination of:If we pause at the last possible moment, then we will have the most advanced AI possible during the pause, which will be…

via LessWrong AI [3] — This work was done as part of the MATS fellowship by Joey Yudelson and Vladimir Ivanov. It was mentored by Ryan Greenblatt. Thanks to Aghyad Deeb and Anders Woodruff for comments on this post. Thanks to Monte MacDiarmid, Evan Hubinger, Sid Black, Satvik…

via Substack Zvi [999] — It does look good, actually.

via The Verge AI [4] — The expensive, $27 million political proxy war between Anthropic and OpenAI came to a draw last night when Alex Bores, a New York state Assemblyman whose popularity surged after being targeted by a pro-AI super PAC, narrowly lost the Democratic primary to…

via The Verge AI [4] — Figma has unveiled some new design and coding product updates at its annual Config conference that aim to help creatives "push their ideas further" and automate tedious tasks with AI. Part of this is a reimagined canvas that's now optimized for full-stack…

via The Verge AI [3] — OpenAI has just revealed a new "intelligence processor" chip for AI servers made in partnership with Broadcom. The chip, called Jalapeño, is designed to power current and future large language models, according to an announcement on Wednesday. Jalapeño is…

via MIT Technology Review [4] — The common cold comes for us all—often more than once a year. And there is no way to prevent it. The best you can do is take vitamin C and stay away from people with the sniffles. Now, the payment company Stripe, founded by brothers Patrick and…

via LessWrong AI [4] — In the game "The choice before us" by Nick Shapiro,[1] you are put in the shoes of an AI company leader. You grow your business. You unlock "wonders", such as curing cancer. All the while, you're attempting to avoid your product getting smart enough to…

via LessWrong AI [4] — Crosspost of my substack piece, covering quick thoughts on AI overcoming nuclear deterrence. TLDR: Nuclear deterrents likely only buy time to further invest in more resilient second-strike guarantees: without a comparable AI base, this will not happen fast…

via OpenAI Blog [3] — OpenAI and Broadcom introduce Jalapeño, a custom AI chip built for LLM inference to improve performance, efficiency, and scale across AI systems.

via ArXiv cs.AI [7] — Mechanistic interpretability has made substantial progress in automatically localizing circuits, but explaining what localized components do remains labor-intensive and difficult to standardize. In this work, we study whether language model (LM) agents can…

via ArXiv cs.AI [3] — As AI systems are deployed across increasingly diverse and high-stakes settings, model alignment must generalize beyond the tasks and domains seen during training. This is especially important for reinforcement learning (RL), which can introduce unexpected…

via LessWrong AI [4] — For a while there, many people thought vitamin D was magical—that it could improve bones, the heart, infections, cancer, heart disease, longevity, even mental health. But among people I respect, opinion is now overwhelmingly that taking vitamin D does…

via MIT Technology Review [4] — Our hands are the nimblest parts of our bodies, coordinating 34 muscles, 27 joints, and over 100 tendons and ligaments to perform countless nuanced movements and gestures. So far, robots have been notoriously bad at mimicking that dexterity, in…