Category: AI
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Autonomous Coding Agents Achieve 70% on SWE-bench as Frontier AI Shifts to Test-Time Compute
A landmark achievement in autonomous software engineering demonstrates that scaling inference-time deliberation allows neural models to debug and refactor complex enterprise codebases without human intervention.
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Liquid Neural Networks vs. Transformers: How Adaptive Time-Continuous AI Is Redefining Robotics
MIT researchers and robotics pioneers are proving that brain-inspired liquid networks can adapt to changing environments in real time using a fraction of the compute required by traditional transformer models.
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Global Frontier AI Accord: International Regulators Establish Compute Threshold Protocols
Representatives from thirty leading nations and top frontier research labs have agreed on unified safety evaluations and compute verification standards for training runs exceeding 10^26 FLOPs.