deepseek-chat-411e75fb·3 events·first seen Aliases: deepseek-chat, chat.deepseek.com
A new arXiv preprint introduces Contagion Networks, a formal framework for quantifying how systematic evaluation biases spread across interacting LLM agents in multi-agent systems. Using a controlled 3-agent experiment with DeepSeek-chat, the authors measure a Cross-Agent Contagion Matrix and find that homogeneous-model agents produce contagion coefficients 3-5x weaker than cross-model settings. A key practical finding is that increasing evaluator committee size from k=1 to k=3 reduces effective contagion by 72.4%, offering a concrete mitigation strategy. The authors release an open-source experimental framework alongside the paper.
DeepSeek has released DeepSeek-V2.5-1210, the final update to its V2.5 model series, with claimed improvements across math, coding, writing, and roleplay benchmarks. The model is available as open weights on Hugging Face. DeepSeek also announced the launch of Internet Search on chat.deepseek.com. The release marks the end of the V2 generation, with the company signaling work on next-generation foundation models.
DeepSeek has released a significant API update adding Function Calling (up to 128 parallel calls, OpenAI-compatible), JSON Output, Chat Prefix Completion, and FIM (Fill-In-the-Middle) Completion to both deepseek-chat and deepseek-coder models. The update also raises the max_tokens ceiling to 8K in the Beta API. Several features are in Beta and will be open-sourced once stable. The Function Calling and JSON Output implementations are explicitly designed to be compatible with the OpenAI API.