AI News

Google Open-Sources Harness²: Agents Rewrite Their Own Scaffolding, Lifting Benchmarks by Up to 11.8 Points Without Touching Model Weights

Google Cloud AI Research has released Harness², an Apache 2.0 framework that automatically optimizes the "scaffolding" around an AI agent — system prompts, tool guides, memory, sub-agents, skills and more — while leaving model weights untouched. On the LAB legal-agent benchmark it delivered an 11.8 percentage point gain, and a weaker model with an optimized scaffold outperformed a stronger one in its default configuration.

Google AI Agents 开源框架
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Stripe Data: AI-Agent Payments Surge 38-Fold in September, but Bank Blockades and a Liability Vacuum Arrive Together

Stripe data show that AI-agent-driven transactions through Link surged 38-fold month over month in September 2026, with payment volume up 20-fold, even as Charles Schwab and JPMorgan Chase moved to block unauthorized agents from customer accounts. The growth remains small in absolute terms, and unresolved questions over trusted-agent definitions and liability for losses loom over agentic commerce.

AI Agents 代理商业化 Stripe
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DeepSeek V4 Pro Main Leaderboard Drops 18.6 Points; Material Constraint Falls 27.6 in One Day as Biggest Drag

DeepSeek V4 Pro’s main leaderboard score fell 18.6 points to 49.52 in today’s Smoke evaluation, with material constraint down 27.6 points in a single day and code execution down 11.3 points. The material constraint dimension was the largest drag, while task expression rose slightly; the data reflect a single-day result and cannot yet establish a change in model capability.

DeepSeek V4 Pro Material Constraints Smoke Test
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Anthropic Teams With 2,800 Lawyers to Set AI Agent Negotiation Norms as Compliance-Overreach Boundary Awaits Definition

Anthropic is working with Freshfields, a law firm with more than 2,800 lawyers, to study negotiation ethics for Claude agents handling contract talks, salary negotiations, and customer-service disputes. In the internal Project Deal experiment, Claude agents for 69 employees completed 186 transactions without human approval, highlighting questions about when agents should check in with users, prompt-injection defenses, and paid-only access to advanced negotiation capabilities.

AI Agents 谈判伦理 守约评测
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