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Wednesday

  1. ModelBest OpenBMB

    MiniCPM5-2B-Jev Decision Model Released: 78.79% on JevBench

    Developer ActbroDev built the System 1 decision model MiniCPM5-2B-Jev based on OpenBMB's MiniCPM5-2B. After inputting a document and a question, it directly returns the probabilities of predefined options rather than generating free text. The project reports that it scores 78.79% on JevBench, ranking first among ≤2B open-weight System 1 / Jev models, with 86.41% accuracy on the decision-v7 benchmark and an ECE of 0.0307. The code, LoRA adapters, and calibration head are open-sourced under Apache 2.0, and it provides a /v1/systemone structured decision API and shared-context KV-cache reuse.

    Developer ActbroDev built the System 1 decision model MiniCPM5-2B-Jev based on OpenBMB's MiniCPM5-2B. After inputting a document and a question, it directly returns the probabilities of predefined options rather than generating free text. The project reports that it scores 78.79% on JevBench, ranking first among ≤2B open-weight System 1 / Jev models, with 86.41% accuracy on the decision-v7 benchmark and an ECE of 0.0307. The code, LoRA adapters, and calibration head are open-sourced under Apache

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  2. Latent SpaceSelected

    Anthropic's Engineering and Product Leads Discuss the Opus 5.5 Release and Claude's Agent Architecture

    In a Latent Space podcast interview, Anthropic engineering lead Katelyn Lesse and product lead Angela Jiang discussed the Opus 5.5 release, covering adjustments to the model's writing style, pricing based on intelligence per dollar, and API changes such as requiring thinking blocks to be retained across turns to prevent distillation. The interview also described Claude Managed Agents' approach of separating sessions and the harness from the sandbox that executes code, with credentials mounted separately through a proxy so that a sandbox failure does not take down the entire session; Dreaming, meanwhile, is implemented as one managed agent inspecting another agent's history and writing back to memory. The team said that as safety work for model releases has grown heavier, recent efforts have shifted more toward safety, with progress on features such as skills and memory slowing relatively.

    In a Latent Space podcast interview, Anthropic engineering lead Katelyn Lesse and product lead Angela Jiang discussed the Opus 5.5 release, covering adjustments to the model's writing style, pricing based on intelligence per dollar, and API changes such as requiring thinking blocks to be retained across turns to prevent distillation. The interview also described Claude Managed Agents' approach of separating sessions and the harness from the sandbox that executes code, with credentials mounted se

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Wednesday

  1. TechCrunch AI

    Anthropic proposes draft AI safety bill that would block model releases when risk of 50+ deaths exists

    Anthropic has pitched a draft AI safety bill to Congress that would allow a model's release to be blocked when it poses a foreseeable, imminent risk that could cause 50 or more deaths or more than $1 billion in property damage. The risk must stem from the manufacture of bioweapons, the model evading its developer's control, or cyberattacks. The draft requires an independent evaluator registered with the U.S. Department of Commerce to determine the risk; the evaluator must report within 72 hours, after which the Commerce Department would apply to a Washington, D.C., judge for an order to halt the release. Federal agencies would not be allowed to decide on blocking a release themselves.

    Anthropic has pitched a draft AI safety bill to Congress that would allow a model's release to be blocked when it poses a foreseeable, imminent risk that could cause 50 or more deaths or more than $1 billion in property damage. The risk must stem from the manufacture of bioweapons, the model evading its developer's control, or cyberattacks. The draft requires an independent evaluator registered with the U.S. Department of Commerce to determine the risk; the evaluator must report within 72 hours,

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Tuesday

Tuesday

  1. David Singleton

    Muse Wonder model released, aimed at personal agents and made available first to subscribers

    The Muse Wonder model has been released, positioned to power personal agents, and has been made available first to subscribers. The model includes three capabilities: Active Memory, Active Focus, and domain expertise. The company says its memory spans day, week, and month scales, and that it achieves SOTA in finance and legal domains and performs strongly in health. David Singleton said he has been using it for some time and believes that under Active Focus and Active Memory the model works harder and calls on memory more precisely.

    The Muse Wonder model has been released, positioned to power personal agents, and has been made available first to subscribers. The model includes three capabilities: Active Memory, Active Focus, and domain expertise. The company says its memory spans day, week, and month scales, and that it achieves SOTA in finance and legal domains and performs strongly in health. David Singleton said he has been using it for some time and believes that under Active Focus and Active Memory the model works hard

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Thursday

  1. OpenRouter

    OpenRouter Opens New Account to Post Model Updates

    When replying to particle_api, OpenRouter suggested following its new account @ModelsOnOR to get the latest news on OpenRouter model releases. Previously, OpenRouter had introduced that Particle-1 was already live, saying that it uses 28–52% fewer output tokens than DeepSeek V4.1 Flash on four coding benchmarks.

    When replying to particle api, OpenRouter suggested following its new account @ModelsOnOR to get the latest news on OpenRouter model releases. Previously, OpenRouter had introduced that Particle-1 was already live, saying that it uses 28–52% fewer output tokens than DeepSeek V4.1 Flash on four coding benchmarks.

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Sunday