clem

Am I wrong in sensing a paradigm shift in AI? Feels like we’re moving from a world obsessed with generalist LLM APIs to one where more and more companies are training, optimizing, and running their own models built on open source (especially smaller, specialized ones) Some validating signs just in the past few weeks: - @karpathy released nanochat to train models in just a few lines of code - @thinkymachines launched a fine-tuning product - rising popularity of @vllm_project , @sgl_project , @PrimeIntellect , Loras, trl,... - 1M new repos on HF in the past 90 days (including the first open-source LLMs from @OpenAI ) And now, @nvidia just announced DGX Spark, powerful enough for everyone to fine-tune their own models at home. Would you agree, or am I just seeing the future I want to exist? Also, why is this happening (just the advent of RL/post-training?)