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2026.10.17 · Sat

#产品更新

#产品更新

Models

New models and versions, open weights, and changes in capability and pricing, with their evaluations.

10/6Tue
  1. AWS Machine Learning Blog62

    GLM 5.3 launches on Amazon Bedrock

    Zhipu AI (Z.ai)'s GLM 5.3 is now available on Amazon Bedrock. The 753B-parameter mixture-of-experts model targets coding and long-horizon agent tasks and is offered through a fully managed API with cross-region inference, prompt caching, and service tiers. It is currently available to eligible enterprise customers.

    Why it matters: The source describes how to access GLM 5.3 on Bedrock and use prompt caching, helping readers assess the cost impact of managed inference for coding and long-horizon agent workflows.

10/1Thu
  1. Hugging Face Blog62

    AI2 releases Olmo-core 3, open and scalable training infrastructure for large MoE models

    AI2 released Olmo-core 3, a major upgrade to its large language model development framework. It redesigns the open MoE training system to scale MoE training to trillions of parameters while maintaining compute efficiency.

    Why it matters: The source provides throughput and memory comparisons for the MoE training stack, helping readers assess changes in the cost of large-scale MoE training.

9/30Wed
  1. Google DeepMind62

    Google DeepMind launches SynthID Bio to embed watermarks in AI-generated proteins

    Google DeepMind launched SynthID Bio, bringing watermarking to synthetic biology. It embeds imperceptible signatures directly into biological code so that generated content can be verified both in digital models and in synthesized physical proteins, while preserving their biological function.

    Why it matters: SynthID watermarking has expanded from images to synthetic biology, showing how AI-generated proteins can be marked and verified.

9/8Tue
  1. Demis Hassabis · X72

    DeepMind releases AlphaGenome Atlas to predict the effects of 9 billion single-letter DNA variants

    Google DeepMind has released AlphaGenome Atlas, an AI-powered searchable database that predicts the effects of all 9 billion possible single-letter DNA variants. Demis Hassabis says that after AlphaFold mapped the protein universe, this tool begins mapping the human genome to help scientists better understand disease. It is free for academic research at http://alphagenome.google/atlas.

    Why it matters: Following AlphaFold, DeepMind is extending predictive capabilities from proteins to the human genome; the article describes the database's coverage and open access.

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