A new group-evolving agent framework from UC Santa Barbara matches human-engineered AI systems on SWE-bench — and adds zero ...
Google ships WebMCP protocol, letting websites expose structured functions to AI agents and reducing computational overhead by 67% compared to screen scraping.
While multi-agent AI systems sound great in theory and even practice, without trust mechanisms, these systems can fall apart fast.
The new model claims benchmark improvements and agent capabilities as competition among Chinese AI vendors accelerates.
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