THIS. If you can’t even explain it in your own words, then how could you possibly take responsibility for the work?
New blogpost: my lab's AI policies and norms.
I'm trying to figure out how researchers should make use of AI to accelerate discovery without letting it replace human understanding or falling off the "slop cliff." Here are some ideas.
babieslearninglanguage.blogs…
cosmic horrors exist in the real world, and they take the shape of Elizabeth Holmes and her relationships
David Tao retweeted
What is TMLR doing under a 300% increase in submissions?
- Suspensions of >150 authors
- Publicly naming major violations
- Submission quotas distinguishing slop patterns
- Desk rejections 6% → 53%; focus on clarity
- AI reviews evaluating soundness
blog.tmlr.org/2026/adapting-…
the +1 in the middle is insane
Demo showing how you can coordinate agents with Durable Actors!
This almost won me the @ycombinator demo showcase.
lost in the finals to a robotic arm playing Doom 😭
David Tao retweeted
I'm excited to share Erik's work!
Mastering Atari 2600 Games with Discovered Options
We have a general-purpose option-discovery method that works w/ high-dimensional observations, tabula rasa, using a single stream of experience! It outperforms DreamerV3, Rainbow, and IQN! 1/9
David Tao retweeted
Excited to be back at @Cohere_Labs for a talk! It’s been a couple of years since I was last there! Looking forward to sharing what I have been working on in AI for mathematics:) Thanks to the organizers for the invitation!
Our ML Math group, led by @KatrinaL2899 and @neel_ghoshal will host @Robertljg for a session focus on Building Trustworthy AI for Mathematics and Science on Monday, October 5th! 🔥
Learn more and register: luma.com/jfw5wkkc
dang
We are again recruiting @bold_lab_ai - please share the love 🙏. We are looking for:
1) Postdocs (my.corehr.com/pls/uoxrecruit…) -- deadline 9th of Oct at noon
2) research assistants (my.corehr.com/pls/uoxrecruit…) -- deadline 9th of Oct at noon
3) Strategic Partnership Project Manager (my.corehr.com/pls/uoxrecruit…) -- deadline 14th of Oct at noon
After playing around with Jev, I'm not convinced it has "solved" system 1 decision making. Here's the intuition in a generated graphic:
🤖 Made with AI
they should call the third party evaluators scythes
We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so.
Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training.
You can read the full post here: darioamodei.com/post/we-must…
