not much happened today

**DeepSeek** launched the public-beta of **DeepSeek-V4-Flash API**, boasting a significant post-training performance leap without architecture or size changes, achieving a **Terminal-Bench score of 82.7** and nearing **GPT-5.6 Luna's 51** score at about **60% lower cost per task**. The model features **284B total / 13B active parameters**, supports **1M context length**, and offers aggressive pricing with a **98% cache-hit discount**. Open weights were released immediately under **MIT license** on Hugging Face, enabling local and quantized deployment with **4-bit and 3-bit quantization** options. The update emphasizes improved agent specialization and tool use, with autonomous subagent swarm patterns and better harness sensitivity. This release also intensified the ongoing price competition with **OpenAI's GPT-5.6 Luna and Terra models**, highlighting a new era of "cheap intelligence" in AI agent benchmarks.