Join free with your email
Free. No spam, ever — we'll never share your email address and you can opt out at any time. ¿Ya tienes cuenta? Inicia sesión
Reinforcement learning and autonomy researcher
Reinforcement learning and autonomy researcher with public evidence across Agents & robotics, AI research.
Out of curiosity I had Fable write a response to the article about the weaknesses of LLMs: www.nytimes.com/2026/06/30/o... It's uh, pretty good. claude.ai/code/artifac...
arxiv.org, doi.org, biorxiv.org, medrxiv.org, pubmed.ncbi.nlm.nih.gov, nature.com, science.org, pnas.org, semanticscholar.org, openreview.net
In our Nature paper, we introduce the first superhuman Stratego AI, which we built using general techniques that we developed for RL & test-time compute under imperfect information. www.nature.com/articles/s41...
Fantastic paper demonstrating how LLM editing is gradually distorting our writing and the way we think to write: arxiv.org/abs/2603.18161
LLMs will likely be the most powerful propaganda tool that has ever existed arxiv.org/abs/2606.16475
In our Nature paper, we introduce the first superhuman Stratego AI, which we built using general techniques that we developed for RL & test-time compute under imperfect information. www.nature.com/articles/s41...
In our Nature paper, we introduce the first superhuman Stratego AI, which we built using general techniques that we developed for RL & test-time compute under imperfect information. www.nature.com/articles/s41...
In our Nature paper, we introduce the first superhuman Stratego AI, which we built using general techniques that we developed for RL & test-time compute under imperfect information. www.nature.com/articles/s41...
In our Nature paper, we introduce the first superhuman Stratego AI, which we built using general techniques that we developed for RL & test-time compute under imperfect information. www.nature.com/articles/s41...
In our Nature paper, we introduce the first superhuman Stratego AI, which we built using general techniques that we developed for RL & test-time compute under imperfect information. www.nature.com/articles/s41...
In our Nature paper, we introduce the first superhuman Stratego AI, which we built using general techniques that we developed for RL & test-time compute under imperfect information. www.nature.com/articles/s41...
In our Nature paper, we introduce the first superhuman Stratego AI, which we built using general techniques that we developed for RL & test-time compute under imperfect information. www.nature.com/articles/s41...
Finally with AI we have automated the worst parts of the human experience: reading, writing, thinking, and making art
The problem for cybersecurity enjoyers is that there hasn’t been enough incidents to achieve the regularity and excitement of say, watching sports. Finally, with AI we have solved this
LLMs are closer to grown than designed. This is what people mean when they say we don’t ”understand” them nor can ”control” them
A running list of uses I've found for LLMs that are not "write my emails for me" or "write some code". 1. When I first taught my class, I either had time for lecture notes or slides. LLMs took my lecture notes, converted them into draft slides, that I then cleaned up and put into my style.
If you open-source your code, someone can steal it. If you let people use your software, AI can decompile it. There is only one solution that can truly defeat piracy: not releasing any software at all.
I am very often now in rooms with a lot of senior robotics or ML folks and it’s always just men. Men men men. A sea of men. It sucks! We should be very ashamed.
Weird request; we've had a fairly big breakthrough that we've been mostly keeping a lid on for the past year. We're looking to talk to some science / AI writers about this and I know a lot of y'all are out here on bsky...
after trying to buy a GPU node I’m pragmatically becoming an “AI is a bubble guy“ to get the market to crash
Most AI consciousness people do not believe current models are conscious but believe that it will be hard to tell when the transition happens and so it is worth putting in place appropriate mitigations in advance
Now that LLMs are good at math, we can solve other long-standing verifiable problems like the law, institution building, community, and management
Center = Eugene Vinitsky. Left = members they follow (green edges). Right = members who follow them (blue edges). Top = mutual follows (orange edges, slightly larger). Drag any node to reposition; click to open that profile.
Add the Who’s Who of AI badge to your site or bio. It links back to this profile.
Markdown: [](https://aiweekly.co/whos-who/person/eugene-vinitsky)
