Activity, over time
Daily observations from the public event archive.
Attention
Daily stars & forks
Star accumulation
Cumulative stars
Pull requests
Daily opens & merges
Conversations
Daily issues & comments
Community
Daily accounts & reviews
Releases
Daily releases
Trending history
Daily top 10 · last 90 days · UTC
Mentions
Stars
Forks
Contributors
Latest stargazers
The last 10 distinct accounts we observed this year.
Most active participants
PR, issue, comment & review events in the past year.
Packages
Scan pending.
README badges
Embed a badge in your README or website.
Live mentions · last 30 days
Mentions
CLM-8B doesn't write text, it scores candidate actions against a state, so embeddings can be cached. Authors say it matches Jev on computer use, gaming and tool calling with up to 9x lower latency. As a verifier it hit 81.6% on DeepSWE (38 tasks): Contrastive-LM/CLM t.co
Contrastive Language Models (CLMs) offer a fast, disaggregated System One approach for decision-making, achieving up to 9x lower latency and strong agentic benchmarks. Contrastive-LM/CLM #MachineLearning #AI #LLM #DeepLearning #AgenticAI
AI 操作电脑慢是因为每步都在推理。CLM 直接学「状态→动作」,延迟最多低到九分之一,模型开源。 Contrastive-LM/CLM
CLM comes with an interactive playground on GitHub: Contrastive-LM/CLM t.co