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LiveMACEBench is introduced, a process-aware benchmark that uses live financial markets as a naturally evolving testbed for persistent LLM agents, demonstrating that mechanism access, effective mechanism use, and downstream performance are not interchangeable measures of agent capability.
Initial evidence is provided that pretrained world knowledge can support reusable realized-progress evaluation and provide useful supervision for long-horizon agents.
This work studies a serving-time consistency problem on 300 real images, comparing Fast-dLLM outputs with the same model's unaccelerated outputs, and finds genuine content substitution in half of 50 low-agreement pairs.
Atria Dawn Preview is introduced, a foundation agentic language model designed for scientific research and engineering workflows, with the goal of expanding the frontier of agent productivity in the real world.
Panel-consensus verification is introduced, which cross-checks a quote against independently collected blind votes, and preserves the positive but statistically inconclusive point estimate for genuine peer information under leave-one-out re-verification, to identify a low-cost attack surface and a concrete defense for...
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