ML hiring burnout is escalating as candidates from top labs report months of rejections and mental exhaustion, signaling structural problems in research recruiting. ClickHouse closed a $400 million Series D, acquired Langfuse, and launched a Postgres integration. DeepSeek released Engram, a static memory unit design that avoids recomputing fixed knowledge through transformer layers.

PACEvolve, a new framework for integrating large language models into evolutionary search, was published today, offering structured scaffolding to fix reliability problems in AI-driven optimization. Zhipu AI and Huawei released GLM-Image, China's first state-of-the-art multimodal model trained entirely on domestic Ascend 910 chips, while Black Forest Labs shipped FLUX.2 [klein], a 9B image generator that runs in under a second on a 4090.

Zhipu AI trained its first major model entirely on Huawei's hardware stack, breaking US chip reliance. Mistral published the Ministral 3 series paper detailing 3B, 8B, and 14B parameter models, while NVIDIA released Orchestrator-8B for routing tasks to specialized tools and models.

Researchers released APEX-SWE, a new benchmark measuring whether frontier AI models can execute economically valuable software engineering work rather than just narrow coding tasks. ZAI open-sourced GLM-Image, a hybrid autoregressive and diffusion model matching mainstream image generators while excelling at text rendering. Google also pushed into clinical AI with MedGemma 1.5, adding improved medical image interpretation and speech-to-text capabilities for diagnostic workflows.

Baichuan AI released Baichuan-M3-235B, a 235-billion-parameter medical-enhanced LLM that scales up its specialized healthcare capabilities from the previous 32B model. DeepSeek open-sourced Engram, a conditional memory framework introducing a new sparsity axis for LLM efficiency. Microsoft also released FrogBoss 32B and FrogMini 14B, coding agents fine-tuned on Claude Sonnet 4 debugging trajectories.