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New research reveals AI agents excel at ML engineering but lack deep domain insight in scientific discovery, as shown by the Agent4Sci benchmark study.
Google DeepMind's Gemini 4 Argon for Robotics claims top performance in physical reasoning benchmarks and real-world robot control, but verified scores differ from initial reports. The model launches at $2 per million input tokens, targeting enterprise robotics developers.
New GMA benchmark reveals AI agents struggle with complex mobile tasks. Discover why current models fail at real-world workflows and context retention.
Microsoft’s agentic security model halves AI security costs and hits a 96% success rate on the CyberGym benchmark, delivering near-perfect vulnerability detection.
We ran Qwen3 27B, 32B, 35B-A3B, and 80B on an RTX 5090 + 5080 box to find the real sweet spot for local AI in 2026. Here is which model fits which job — and which one to drop.
