Interconnects AI

Gemma 3, OLMo 2 32B, and the growing potential of open-source AI Leading open-weight models and the first open-source model to clearly surpass GPT 3.5 (the very last version).

Interviewing Eugene Vinitsky on self-play for self-driving and what else people do with RL #13. Reinforcement learning fundamentals and scaling. Post: https://lnkd.in/dk6zXtVm YouTube: https://lnkd.in/d8SySH76

Elicitation, the simplest way to understand post-training An F1 analogy to help understand fast improvements in post-training on top of slow improvements in scaling.

Where inference-time scaling pushes the market for AI companies Fundamentals emerging downstream from the RL reasoning models.

GPT-4.5: "Not a frontier model"? OpenAI's latest model raises more questions than answers, but no, the AI bubble isn't popping quite yet.

Character training: Understanding and crafting a language model's personality Post-training in industry is very different than the academic papers and open-source models demonstrate. Let's dive into one of my favorite topics in language modeling development today.

Claude 3.7 thonks and what's next for inference-time scaling (The classic lunch break post) The latest reasoning model and what it says about the direction of inference time compute and RL training.

Helping you keep up with all the open models and artifacts, one month at a time. * Countless reasoning models + datasets for you to try * Tons of excellent Chinese models * Lots of multimodal models (has been taking off for many months now) Enjoy and let us know what we missed! These are hard work but always learn a lot and find interesting papers.

Grok 3 and an accelerating AI roadmap Where AI is heading, why 2024 felt slow, and shifting priorities of frontier laboratories.

An unexpected RL Renaissance New talk! Forecasting the Alpaca moment for reasoning models and why the new style of RL training is a far bigger deal than the emergence of RLHF. YouTube: https://lnkd.in/gEEnN9UN Slides: https://lnkd.in/g9rcQ4jh More info: