Lorenz Kuhn @_lorenzkuhn
Reasoning Research @OpenAI | o1-preview through o3 Joined January 2014-
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1/n I’m really excited to share that our @OpenAI reasoning system got a perfect score of 12/12 during the 2025 ICPC World Finals, the premier collegiate programming competition where top university teams from around the world solve complex algorithmic problems. This would have…
IMO gold is a win for scaling ~nearly~ superhuman oversight on a fuzzy, hard-to-verify RL domain
IMO gold is a win for scaling ~nearly~ superhuman oversight on a fuzzy, hard-to-verify RL domain
It was thrilling to watch AI compete against some of the best human competitive programmers at AtCoder World Finals Heuristics yesterday. Check out @andresnds ‘s thread on how the AI solutions improved throughout the 10h contest. Congrats to @FakePsyho on 1st place!
It was thrilling to watch AI compete against some of the best human competitive programmers at AtCoder World Finals Heuristics yesterday. Check out @andresnds ‘s thread on how the AI solutions improved throughout the 10h contest. Congrats to @FakePsyho on 1st place!
Congratulations @FakePsyho on a nail-biting performance! Great showings as well from @bminaiev, @andresnds, and @_lorenzkuhn representing OpenAI. It’s been fantastic sponsoring AtCoder World Finals @atcoder. We’re excited to share some of the model solutions with the world.
Congratulations @FakePsyho on a nail-biting performance! Great showings as well from @bminaiev, @andresnds, and @_lorenzkuhn representing OpenAI. It’s been fantastic sponsoring AtCoder World Finals @atcoder. We’re excited to share some of the model solutions with the world.
Two important points from our new technical report: 1. Scaling continues to work and the bitter lesson still holds 2. Recent AI models are strong at reasoning tasks and are rapidly becoming stronger — 4o was released less than a year ago, o1 less than six months ago
Two important points from our new technical report: 1. Scaling continues to work and the bitter lesson still holds 2. Recent AI models are strong at reasoning tasks and are rapidly becoming stronger — 4o was released less than a year ago, o1 less than six months ago
i generally feel super grateful that i get to work with such exceptionally skilled and kind people on reasoning research. the sprint for IOI in particular was special though. IOI 2024 gold @ 10k submissions; 49th percentile of competitors under real contest conditions
i generally feel super grateful that i get to work with such exceptionally skilled and kind people on reasoning research. the sprint for IOI in particular was special though. IOI 2024 gold @ 10k submissions; 49th percentile of competitors under real contest conditions
Today, I’m excited to share with you all the fruit of our effort at @OpenAI to create AI models capable of truly general reasoning: OpenAI's new o1 model series! (aka 🍓) Let me explain 🧵 1/
very excited about these models helping people solve hard problems and proud of the work we did. give the new models a try!
very excited about these models helping people solve hard problems and proud of the work we did. give the new models a try!
We trained a model and it is good in some things
But the ELO can ultimately become bounded by the difficulty of the prompts (i.e. can’t achieve arbitrarily high win rates on the prompt: “what’s up”). We find on harder prompt sets — and in particular coding — there is an even larger gap: GPT-4o achieves a +100 ELO over our prior…
Excellent post by @JacobSteinhardt trying to forecast the abilities of models that could be trained in 2030: bounded-regret.ghost.io/what-will-gpt-…
new preprint "ReLU to the Rescue: Improve your On-policy Actor-Critic with Positive Advantages" shockingly simple changes to A3C can give a cautious RL algorithm more effective than PPO in some settings, just adding a ReLU is enough! arxiv.org/abs/2306.01460
The Google DeepMind alignment team is looking for research scientists and research engineers to help us work towards safe AGI. I think this is a very pressing problem, and it's a nice place to work. Please apply and help take our work to the next level. boards.greenhouse.io/deepmind/jobs/…
With more powerful AI systems comes more responsibility to identify novel capabilities in models. 🔍 Our new research looks at evaluating future 𝘦𝘹𝘵𝘳𝘦𝘮𝘦 risks, which may cause harm through misuse or misalignment. Here’s a snapshot of the work. 🧵 dpmd.ai/novel-ai-risks
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