Hugging Face releases CWE-bench v2 benchmark for AI coding agents
Hugging Face announced CWE-bench v2, an updated benchmark for evaluating AI coding agents, with expanded coverage, improved quality, and greater transparency. The new version aims to provide a more robust assessment of agent capabilities in real-world coding tasks.
Coverage timeline
Hugging Face Blog
Related stories
Ai2 and Hugging Face release StateBench benchmark for tracking state changes in long documents
Ai2 and Hugging Face released StateBench, a benchmark that tests how language models track changing information across long documents at four difficulty levels. The benchmark reveals where models struggle and how targeted training helps recurrent and hybrid architectures handle longer sequences.
2 reports · 2 sources

Hugging Face releases Carbon-X, open-source 14B-parameter model for natural language DNA queries
Hugging Face has released Carbon-X, an open-source multimodal AI model with 14 billion parameters, trained on 300 billion tokens. The model enables researchers to query DNA sequences using natural language and understand the effects of genetic changes on gene activity and health.
1 reports · 1 sources
Liquid AI releases LFM2.5-24B-A2B, an open-weight 24B reasoning model with 2B active parameters
Liquid AI announced LFM2.5-24B-A2B, an open-weight 24B reasoning model with 2B active parameters, designed for fast, private on-device agents. The company claims it outperforms Qwen3.6-35B-A3B on the LiveClaw benchmark.
2 reports · 2 sources287 points · 80 comments
-oOdUn61bDRSykk4H951SoDOHzqoOe1.png)
DeepSeek releases V4.1-Flash-1017 open-weight model with faster, cheaper agent tasks
DeepSeek released V4.1-Flash-1017, an open-weight model checkpoint with 763B parameters, now live on its website, app, and API. The update claims stronger benchmark performance, faster task completion, and shorter outputs than its predecessor, achieved via reinforcement learning with self-feedback for end-to-end project development. DeepSeek also opened its Search & Fetch APIs to everyone, priced at $0.75 per 1000 successful requests, and requires DeepSeek Harness v0.2.1-rc.1 or later for optimal use.
9 reports · 6 sources955 points · 717 comments

News updates every hour. Subscribe in your RSS reader to get new stories automatically.
Subscribe