From GPT 5.1 Thinking:
ARC AGI v2: 17.6% -> 52.9%
SWE Verified: 76.3% -> 80%
That's pretty good!
replies(7):
ARC AGI v2: 17.6% -> 52.9%
SWE Verified: 76.3% -> 80%
That's pretty good!
if you think about GANs, it's all the same concept
1. train model (agent)
2. train another model (agent) to do something interesting with/to the main model
3. gain new capabilities
4. iterate
You can use a mix of both real and synthetic chat sessions or whatever you want your model to be good at. Mid/late training seems to be where you start crafting personality and expertises.
Getting into the guts of agentic systems has me believing we have quite a bit of runway for iteration here, especially as we move beyond single model / LLM training. I still need to get into what all is de jour in the RL / late training, that's where a lot of opportunity lies from my understanding so far
Nathan Lambert (https://bsky.app/profile/natolambert.bsky.social) from Ai2 (https://allenai.org/) & RLHF Book (https://rlhfbook.com/) has a really great video out yesterday about the experience training Olmo 3 Think