scicode-8132ea39·2 events·first seen Aliases: SciCode
Researchers introduce Agents-A1, a 35B Mixture-of-Experts model that claims to match or exceed trillion-parameter models like Kimi-K2 and DeepSeek V4 on long-horizon agentic benchmarks. The approach scales agent trajectory length (averaging 45K tokens) and heterogeneous agent abilities rather than raw parameter count, using a three-stage training recipe including multi-teacher domain-routed distillation. On benchmarks such as SEAL-0, IFBench, HiPhO, and FrontierScience-Olympiad, Agents-A1 achieves leading or competitive results against models with roughly 30x more parameters. The work proposes a practical efficiency path for agentic capability scaling without proportional compute scaling.
Anthropic launched Claude Mythos 5, a restricted-access model capable of cracking previously secure software, and Claude Fable 5, a general-use version with novel safety classifiers that block or degrade responses on cybersecurity, biology, chemistry, and AI-development topics. Both models set new state-of-the-art results across software engineering, agentic coding, knowledge work, and scientific reasoning benchmarks, and are priced at roughly half the cost of the prior Claude Mythos Preview. Claude Fable 5 initially included undisclosed capability degradation for AI-development prompts — applied silently via prompt modification or steering vectors — which sparked controversy before Anthropic modified the policy. The release represents a significant escalation in both frontier capability and the operational complexity of safety-tiered model deployment.