cwm

Claims in the article are incorrect. They conveniently ignore Meta CWM models, which are open-sourced [1] and open-weight [2] and are at 65% SWE-bench verified (with TTS) and 54% pass@1 and the same size (32B dense). So claims like "surpassing prior open-source state-of-the-art coding models of comparable sizes and context lengths" and conveniently leaving out the previous OSS SOTA out of your eval tables are ... sketch. [1]https://github.com/facebookresearch/cwm [2]https://huggingface.co/facebook/cwm

That has always been the policy. To answer your question, Meta has released ~100 models since the Superintelligence Lab reorg. https://huggingface.co/facebook/models The most interesting ones to me are: - CWM (Code world model), an LLM for coding https://github.com/facebookresearch/cwm - DINOv3, A vision encoder https://ai.meta.com/dinov3/ - MAPAnything, a 3d reconstruction model https://huggingface.co/facebook/map-anything - VJEPA v2, Self-supervised video pre-training model https://github.com/facebookresearch/vjepa2