List of Flash News about open weights
| Time | Details |
|---|---|
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2026-10-02 06:59 UTC |
GLM-5.3: Nearly Matches Claude Mythos Exploits
GLM-5.3 open weights model scored 12% vs Claude Mythos 14% in vulnerability exploits, per Andrew's Letter in The Batch. |
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2026-08-12 07:15 UTC |
NVIDIA: Nemotron Open Weights Lift AGPU
NVIDIA Nemotron 3.5 Lightning open weights strategy shifts enterprise inference to neutral GPUs, boosting AGPU price prediction and AI industry impact. |
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2026-07-28 05:27 UTC |
Kimi K3: Enters AI Top Three With Open Weights
Kimi K3 hits world top three on open weights while Opus 5 beats Fable 5 at half price in latest AI model benchmarks. |
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2026-06-23 16:23 UTC |
GLM-5.2: Hits #3 on GDPval-AA Agentic Benchmark
GLM-5.2 scores 1524 Elo on GDPval-AA, ranking #3 overall and first among open weights models ahead of Gemini 3.5 Flash and Qwen 3.7 Max. |
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2026-06-18 14:53 UTC |
Z.ai: GLM-5.2 Open Weights Released
Z.ai launches GLM-5.2 with 1M context, MIT open weights and coding gains; run the model locally via Hugging Face download. |
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2026-02-03 16:00 UTC |
Zhipu AI GLM-Image Open-Weights Image Generator Outperforms Rivals in Text Rendering with Two-Stage Pipeline
According to @DeepLearningAI, Zhipu AI launched GLM-Image, an open-weights image generator designed to produce clearer, more accurate text inside images, source: @DeepLearningAI. It uses a two-stage pipeline that separates layout planning from detail rendering to improve text fidelity, source: @DeepLearningAI. The model outperformed both open and some proprietary competitors in text rendering tasks, source: @DeepLearningAI. |
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2026-01-28 22:42 UTC |
AlphaGenome Breakthrough: DeepMind AlphaGenome Genomics AI Published in Nature with Research Weights Released
According to Demis Hassabis, AlphaGenome is the latest and most advanced genomics AI model and has been published in Nature, with the model and weights made available to academic researchers (source: Demis Hassabis on X). He added that the work is featured on the journal’s front cover and expressed anticipation for the research community to build on the released weights (source: Demis Hassabis on X). |