"Demis Hassabis is leaving his role as CEO of Google DeepMind to be the unit's Chairman. Chief scientist Jeff Dean and another Google AI executive are leaving to start their own company, which Google will invest in." wat www.axios.com/2026/08/05/g...
Who's Who of AI
david-p-reichert.bsky.social
Why they matter
Ethicist with public evidence across AI research, Models & releases, Responsible AI.
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AI researcher at Google DeepMind -- views on here are my own.
Interested in cognition & AI, consciousness, ethics, figuring out the future.
Due to a number of concerns, I'm currently no longer working on advancing AI capabilities.
What they're sharing
axios.com
4 of Google’s Top AI Brains Are Leaving—and Launching Their Own AI Startup wired.com
www-cdn.anthropic.com
If you haven’t recently used Claude Code*, you might not understand where AI is at davidpreichert.substack.com
arxiv.org
arxiv.org
zork-experiment/REPORT.md at main · davidpreichert/zork-experiment github.com
‘More than just objects’: Australian booksellers raise alarm over ‘horrific’ destruction of rare titles to feed AI theguardian.com
AI and a code-shaped world: some examples davidpreichert.substack.com
Claude Code transcript - page 1 davidpreichert.github.io
Meta-learning (computer science) - Wikipedia en.wikipedia.org
Articles & links
www.wired.com/story/jeff-d...
AI Weekly's analysis
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- Jeff Dean is leaving Google after 27 years to co-found Discovery Loop with Sanjay Ghemawat, Oriol Vinyals, and Quoc Le.
- The Delaware Public Benefit Corporation will start by automating machine learning research, then expand into hardware design, drug discovery, and clean energy.
- Alphabet shares reportedly fell about 5% as Demis Hassabis moved to chair and Koray Kavukcuoglu took over as DeepMind SVP.
Read full analysis →
How so? They don't seem to mind: www-cdn.anthropic.com/files/4zrzov...
Many don't see how much AI has changed recently. Coding agents aren't just chatbots. We can’t deal with the challenges of AI if we don’t understand it. Here's a post to provide some evidence (Claude doing small ML experiments) and form intuitions. davidpreichert.substack.com/p…
Incidentally, I used to work a bit on getting synchronisation effects into neural nets... this was meant to model spikes, but either way came down to passing continuous complex numbers around (if still on a discrete grid): arxiv.org/pdf/1312.6115
Why would that not also be ML though? The idea of learning-to-learn(-at-test-time) has been around for a while in ML. E.g. en.wikipedia.org/wiki/Meta-le... and indeed arxiv.org/pdf/2005.14165 is arguably also framed that way.
Nice! The Zork playing agents were Sonnet 5 (and Haiku 4.5) actually, only the researcher agents were Fable. But there's a lot of setup details that can matter here. You can find (the researcher agent's) write up here if you're interested: github.com/davidpreiche... ...
... would have told us right away that rare = not many in circulation, etc. Or see this Guardian article: www.theguardian.com/technology/2... First picture is a 400 year-old manuscript, which has nothing to do at all with the actual books in question...
A follow-up to my last substack about agents vs chatbots. This time I'm showing some more down-to-earth examples of agents in action, as opposed to machine learning. Anything from modelling historical houses to fixing crashes to simulating the galaxy. davidpreichert.substack.c…
also @simonwillison.net, ty for the transcript tool, I've adapted it a bit for this (☝️) project (example: davidpreichert.github.io/claude-ml-re...), and experimented with a few related ideas, like having Claude analyse the conversations...
Why would that not also be ML though? The idea of learning-to-learn(-at-test-time) has been around for a while in ML. E.g. en.wikipedia.org/wiki/Meta-le... and indeed arxiv.org/pdf/2005.14165 is arguably also framed that way.
Their own posts
Recent commentary
I guess I should have expected getting on block lists for posting that we should take AI seriously... but "Bots" really? Someone want to explain the whole bsky block list thing to me? Everyone can just make misleading badly curated lists that might get you blocked by tons of people?
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