

Z AI released GLM-4.7-Flash, a new 30B open source model with a 59.2% achievement on SWE Bench Verified. .ai

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Z AI released GLM-4.7-Flash, a new 30B open source model with a 59.2% achievement on SWE Bench Verified. .ai
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Cowork but with local models not to send all your data to a remote cloud! https://t.co/ppRPwpja8E pic.twitter.com/2OrBMMO3NJ
— clem π€ (@ClementDelangue) 17 janvier 2026
Cowork but with local models not to send all your data to a remote cloud!
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This week, we released a pair of Gemma updates that developers can use to innovate across the healthcare and translation spaces: β MedGemma 1.5 4B: Our updated open medical AI model improves performance in 3D imaging and reasoning over medical records. We also kicked off the
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"Looking back, the most important things I learned weren't really about software. They were about people, scale, and what it takes to build something that lasts." Dries Buytaert reflects on 25 years of #Drupal

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We have officially open-sourced the new-generation medical LLM Baichuan-M3, which scored 65.1 on HealthBench and claimed the championship with 44.4 on HealthBench Hard. It has comprehensively outperformed GPT-5.2 across the board in the medical field. @OpenAI @claudeai
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TranslateGemma is our new collection of open translation models for edge devices built on our amazing Gemma 3 open model. They outperform models twice their size at translation tasks across 55 languages. Excited to see what people build with it! https://t.co/cWmKMFydsQ
— Demis Hassabis (@demishassabis) 16 janvier 2026
TranslateGemma is our new collection of open translation models for edge devices built on our amazing Gemma 3 open model. They outperform models twice their size at translation tasks across 55 languages. Excited to see what people build with it!

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seeing how langchain and opencode have made the topic cool again for agent memory/state i present how every filesystem-source-of-truth eventually turns into database
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I know of a lot of mid useless OSS projects at major tech companies that are now officially totally cooked. All of their work replaceable with a few well guided CC or GPT 5.2 Codex sessions by skilled operators.
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Introducing Open Responses, an open spec for multi-provider LLM interfaces, built on the @OpenAI Responses API.
— Romain Huet (@romainhuet) 15 janvier 2026
We started with gpt-oss and close work with inference partners. This is the next step toward real interoperability across the ecosystem.pic.twitter.com/JbOivFgIu0
Introducing Open Responses, an open spec for multi-provider LLM interfaces, built on the @OpenAI Responses API. We started with gpt-oss and close work with inference partners. This is the next step toward real interoperability across the ecosystem.
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Performance matters, but licensing decides. YOLOv11 vs. RF-DETR. pic.twitter.com/MDaiDhgpGQ
— Satya Mallick (@LearnOpenCV) 15 janvier 2026
Performance matters, but licensing decides. YOLOv11 vs. RF-DETR.