Tomorrow begins my "Governance of AI" class at Harvard. Super excited. Features work from all the usual suspects, including @GovAIOrg @forethought_org @EpochAIResearch @law_ai_ @TomDavidsonX @dwarkesh_sp @KelseyTuoc @deanwball @gwern @random_walker & more! Syllabus below.

I enjoyed this brief meditation from Gus Skorburg on using AI in education: gus1365199.substack.com/p/fr…

U.S. policy professionals across government and think tanks: we invite you to apply for GovAI's U.S. AI Policy Program – a free, bipartisan, part-time program designed to equip policy professionals with a technically-informed understanding of the AI policy landscape. Apply by July 5. governance.ai/post/govai-u-s…

New w/ @AISecurityInst & @UniofOxford: Frontier AI can now out-persuade expert humans in conversation - incl. world-champ debaters and professional canvassers. This held even when humans chose their topics, prepared in advance, and competed for £1,000 prizes 🧵

"AI psychosis" deserves to be taken seriously: the transformative influence of the tech will produce entirely new forms of mental illness However, the space remains undertheorized and we are in need of structured diagnostic tools. I'm launching one today dm-aid.org/

why do we allow this to happen? my friend was arrested for normal & safe parenting in Connecticut:

People sometimes confidently claim that humans would keep making major decisions even if AIs are >100x faster. Imagine you could only chat with your boss on one day per year! a) it would be very clear to everyone that this is not workable b) you'd just make decisions around your boss and disempower them in order to get anything done. I expect the situation with AIs will look comparable, especially if they are rewarded based on their outcomes.

A very obvious problem if you start to become familiar with the literature in even the best fields is that since most professors are on the left, claims with a left-skewing valence meet way less critical scrutiny from colleagues as they make their way into print.

Yeah, in poli-sci, the most common bias doesn’t look like “I’m here to teach my students Cultural Marxism”, it looks like “our new misinformation index, which contains 500 questions about right-wing conspiracies, has discovered that the right is more conspiratorial than the left”

Ivy League students suing their schools with AI slop is a bit too on the nose

My friends (@Stanford/@MIT/@Harvard) are building an open-source Agent Persona & Social Simulation project! 🚀 Currently looking for US-based PhDs, Masters, or industry researchers to help collect persona data & build environments. Interested? DM or reply!

Uhhh so incidentally, does anyone have a plan to prevent all the non-US citizen AI scientists from going to join foreign labs after they get bored of playing Wordle at work for a month, or are we just sort of planning on having the greatest counterproliferation failure since we deported Qian Xuesen in 1955 and gave Mao a rocket program?

The @BlueDotImpact slack in particular has so much to offer - highly recommend!

another AISAP workshop, this one on AI policy and governance: June 18, no technical background needed the goal is to help participants understand the policy conversation well enough to follow what's happening, evaluate proposals, and think clearly about what responsible governance might look like covers current risks, near-future risks, existing legislation, and the main governance options being discussed: from evals and transparency to liability, licensing, compute governance, and international coordination luma.com/aisap-vc36

We are pleased to announce the inaugural Law & AI Academic Fellowship. The Law & AI Academic Fellowship is intended as an alternative to university-sponsored Visiting Assistant Professor or law fellow positions for legal scholars wishing to pursue a career in US legal academia. Our goal is to prepare fellows for the US legal academic job market by providing them with the time and resources to produce high-quality, impactful academic research as part of a larger academic application package. Fellows should expect to spend the majority of the fellowship researching and writing articles for publication in law journals. This is a full-time, two-year role. The salary for the position is $130,000 per year. If you’re looking for a supportive place to explore a career at the cutting edge of AI, law, and academia, and build your skills under the mentorship of our network of researchers and affiliates, we encourage you to apply: law-ai.org/career/academic-f… Applications close on July 31, 2026.

This is wild—and likely a sign of things to come as we transition to a web that is optimized for bots more than humans. theatlantic.com/technology/2…

Over the past few months I've been working on a very exciting project: a new $10m fund for research on multi-agent multi-principal AGI safety! Instead of focusing on single agent alignment and centralized control, we're looking to support research focusing on multi-agent settings, mechanism design, cooperative AI, and coordination problems. This is a joint initiative between @GoogleDeepMind, @Googleorg, @schmidtsciences, @coop_ai, and @ARIA_research. Huge thanks to @James_D_Fox, @weballergy, @FranklinMatija, @lrhammond, and @ObadiaAlex for their invaluable work! See: deepmind.google/blog/investi… Apply: schmidtsciences.smapply.io/p…

some thoughts on the difference between oai and anth 1) i think the most important difference between openai and anthropic is cultural; basically, openai is faang while anthropic is ea 2) openai doesn't really believe anything; it's a lot of tech workers from meta, etc... most of the employees are not particularly agi-pilled 3) anthropic has roots in the ea ecosystem; it employs holden karnofsky, joe carlsmith, amanda askell, etc... all deeply connected to effective altruism 4) the founders essentially took an ea pledge; the series a was led by sbf, the series b was led by jaan tallinn (ea or ea adjacent) 5) this gives anthropic a core set of values and an orientation towards the future; it inherits effective altruism's focus on forecasting and ai safety 6) and, it gives it a set of institutions to recruit from and to reinforce its values: open philanthropy, mats, metr, constellation, redwood research, etc... 7) not that these organizations are all ea in particular, but they are part of a larger ea and ea funded ecosystem that curates a particular worldview and set of attitudes 8) openai has no equivalent; there is no concentrated place from which it draws talent or from which it draws a coherent worldview; big tech isn't exactly a reservoir of ideas 9) i think this may be one of the reasons that openai fumbled with their focus on ads and sora rather than focusing on automating the office worker; they were not future focused enough 10) and, it's one of the reasons why it is easier for anthropic to retain talent, there are a lot of voices telling the people working there they are doing the right thing and the most important thing 11) but, believing in nothing in particular, other than the zeitgeist, has its benefits, it can be easier to make deals (see openai's dod deal); and believing in things can make it harder 12) and, this tendency may make openai more responsive to the general political milieu and will probably make it more likely to try to follow the democratic policy discussions rather than lead them 13) and, it is an open question whether we want companies to lead policy making on ai in democratic countries or whether it is better to allow broader society to do this

know the Claude rules

Last few days have been all about patrician power. CEOs of leading labs deigning to consider a pause; Claude deciding whether it'll help you on the fly. Some people love the first and hate the second, and vice versa. The point is that you don't get a say. Feels like augurings of a new aristocracy.

Labs starting to pull up the ladders on the ability to diffuse AI was inevitable. Doing it without telling the user is misaligned.