Volodymyr Kyrylov
@darkproger
unsupervised learning and rl
2.5K Following 2.7K Followers
the ai race is getting out of hand
Feeling the AGI today!
This is GPT-6 Astra.
Anything you can do on a computer, Astra can do for you. Fast.
If you've wondered where I've been recently, I gave an interview. This is a very difficult time for me. I'm trying to bring my mom home, and I could use your help spreading the word. Please watch, and please share.
interview:
website:
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The core of ai psychosis, by the way, is the failure to properly align human-intelligence axes with ai-intelligence ones.
spark is close to an order of magnitude latency improvement for token output, now tools are the bottleneck. great for networks of codex exec
GPT-5.3-Codex-Spark is now in research preview.
You can just build things—faster.
During my first attempts to exit vim, I didn’t realize I was accidentally entering codex from the 70s
Training on intermediate solutions during search helps kernel and algorithm engineering — excited about this application of gpt-oss.
this time is the charm
macapptree is an amazing tool for screen perception in gpt-oss!
Wild NeurIPS moment:
@darkproger from @OpenAI told me he uses our open-source macapptree as his go-to tool for parsing macOS accessibility 🤯
Made my day!
Excited to be talking about gpt-oss today!
I am excited to be organizing the 8th scaling workshop at @NeurIPSConf this year!
Dec 5-6 | 5-8pm PT | Hard Rock Hotel San Diego
Co-organized by @cerebras, @Mila_Quebec, and @mbzuai
Register:
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The Strategic Explorations team @OpenAI is looking to recruit researchers interested in working on the next frontier of language modeling!
Feel free to reach out to me by email. @darkproger and I will also be at NeurIPS to connect and discuss in person.
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it feels so nice to start sweeping once the implementation is not buggy any more
as of 5 minutes ago, our gpt-oss implementation is merged into torchtitan!
thanks to all the work by @jianiw_wang @__tianyu at @pytorch making it clean & scalable for the community ❤️
i hope y'all play around with training gpt-oss, it's great for its sparsity & reasoning
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To authenticate codex on spark, do:
scp -r .codex vol@spark-abcd.local:
Assuming it’s already working on your box with a screen and you are vol
LLMs are winning IOI golds & crushing code gen—but can they verify correctness?
In Feb, our benchmark saw single digit scores with o3-mini. We re-ran our evals with the latest open models: GPT-OSS gets 21.6% at demonstrating bugs in code! Progress✅But verification's still hard
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