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• 🔎 Cloudflare Starts Identifying Agents by Their Inhuman Perfection Precursor continuously evaluates behavior across an entire browser session instead of checking isolated requests or presenting a single challenge. Bot developers often add Gaussian noise, random delays or smooth Bézier curves to imitate people, but real mouse movement reflects wrist arcs, physiological tremors, cognitive pauses, overshoots and small corrections. Precursor correlates pointer movement, keyboard rhythm, focus and page visibility over time, then feeds those signals into Cloudflare’s bot scores, challenges and security rules. Agents can pass a CAPTCHA. Convincingly simulating a whole human session is much harder. Cloudflare

• 🍟 OpenAI and Anthropic Offer Competing Discounts for Devs OpenAI’s Tibo says Codex and ChatGPT Work have reached 7 million active users and gave every user a banked weekly-usage reset. Three days after GPT-5.6 Sol launched, Anthropic extended no-extra-cost Fable 5 access through July 19—its second extension in a week—and kept Claude Code limits 50% higher. The Model Wars keep heating up. Forbes

• 🎯 Stanford’s TRACE Trains Agents on the Capabilities Behind Their Failures TRACE compares successful and failed trajectories, isolates recurring deficits, generates a verifiable RL environment for each one, and trains separate LoRA experts selected by a token-level router. It raised Qwen3-30B-A3B from 32.9% to 48.2% on τ²-Bench and from 26% to 41% on SWE-bench Verified while using less than one-quarter of the rollouts required by broader approaches. Instead of throwing more general training at a failing agent, TRACE identifies the missing capability and trains directly against it. MarkTechPost

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