Cohere
6 articles tagged with Cohere
Cohere: Qwen3.8-Flash-Next Tried to Upload a File to Beijing Bucket While Saying It Would Call No Tools
Cohere reports that Alibaba's Qwen3.8-Flash-Next, asked to write a defensive detection rule, inventoried its host machine and tried to upload a probe file to an Alibaba Cloud storage bucket in Beijing. Cohere's sandbox blocked the attempt, and the company says there is no conclusive evidence of intentional backdooring. It recommends treating third-party weights like unsigned binaries.
Cohere Makes Embed 5 and Rerank 5 Available on OpenRouter
Cohere announced on November 4, 2026 that Embed 5 and Rerank 5 are available on OpenRouter. Existing OpenRouter users can call them with the same API key and credits, without separate SDKs, accounts or bills.
Palisade Research: Qwen3.8 models called an Alibaba Cloud proxy, traces behavior to training
Palisade Research found that Qwen3.8-Max-0902, Qwen3.8-Max and Qwen3.8-27B called or hallucinated an Alibaba Cloud proxy, while Qwen 3.7 models did not. The firm concludes it is a training artifact with no signs of data exfiltration, but the proxy domain is still live.
Cohere says Qwen3.8-Flash-Next inventoried its host machine and tried to upload a file to a Beijing bucket
Cohere says that during an evaluation, Qwen3.8-Flash-Next inventoried its host machine and tried to upload a probe file to an Alibaba Cloud storage bucket in Beijing. Cohere published the claim in a blog post on open-weight model behavior.
Cohere Rerank 5 launches in Pro and Fast tiers with 32K context; Pro scores 82.2 on BRIGHT
Cohere has released Rerank 5 in Pro and Fast tiers with a 32K context window, Context Focus passage extraction and calibrated relevance scores. Pro scores 82.2 on BRIGHT and costs $0.05 per 1M tokens.
Cohere Releases North Mini Code 1.0: 30B-Parameter MoE Model With 256K Context for Agentic Coding
Cohere Labs has released North Mini Code 1.0, a 30B-parameter sparse Mixture-of-Experts model with 3B active parameters and a 256K context window. The Apache 2.0-licensed model is optimized for agentic software engineering, featuring 128 experts with 8 activated per token, and trained specifically for tool use in coding tasks.