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Open weights

AI news about models and tools released with open weights or code.

4 stories in the last 24 hours

Today

3 stories
  1. Worth knowing Google Research

    Agile Deliberation: How AI helps humans define the gray areas

    This framework offers a practical method for aligning AI models with nuanced human intent in subjective domains like content moderation without requiring manual prompt engineering.

    Google Research has introduced Agile Deliberation, an open-source framework that uses vision-language models to help humans build AI image classifiers for subjective categories. The system guides users through scoping concepts and resolving edge cases via borderline images, feeding human feedback into an automated prompt optimization loop.

    1 source
  2. Worth knowing Interconnects

    How big is the open model economy today?

    Measuring token volumes across inference providers offers empirical insight into how rapidly open-weights models are being adopted in production relative to proprietary frontier labs.

    Interconnects examines the scale of the open model inference market by tracking public token volume disclosures from startups like Baseten, Fireworks, and Together AI alongside OpenRouter API metrics. The available data indicates near-exponential growth in usage, including Fireworks serving over 40 trillion tokens daily for customized models alone, which the author compares against Google's reported platform token volumes.

    1 source
  3. Worth knowing Ai2

    Ai2 and Google collaborate on a new generation of climate models

    Combining traditional physics equations with AI enables researchers to simulate decades of complex climate and ocean interactions at a fraction of the computational cost of conventional models, while open-sourcing the weights and code makes these tools accessible to the broader scientific community.

    Ai2 is partnering with Google Research and receiving multimillion-dollar funding from Google.org over three years to develop NeuralGCM+, an open-source hybrid AI and physics climate model. The initiative will extend Google's existing NeuralGCM to simulate both the atmosphere and oceans together for long-term, multi-decade climate projections.

    1 source

Yesterday

1 story
  1. Worth knowing TechCrunch

    Anthropic is working on a system to prove AI models’ identity

    Provable inference could establish trust in commercial AI APIs by preventing providers from secretly substituting cheaper models to cut costs or stronger models to game benchmarks.

    Anthropic researchers have released an open-source technical specification and code for FlashProve, an experimental system designed to cryptographically verify which AI model produced a specific output. The method uses public model fingerprints to confirm model identity on local devices without exposing proprietary model weights.

    1 source