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Amodei: Anthropic Does Not Want to Ban Open Weights — It Wants Chip Controls, Anti-Distillation, and Global Safety Tests
Dario Amodei published Anthropic's formal position on open-weights models July 28, explicitly rejecting calls for bans while breaking with the Microsoft-NVIDIA coalition on distillation enforcement and mandatory safety testing.
Claude Opus 5 Sets ARC-AGI-3 Record at 30.2% — 4x the Previous Best
Anthropic's Claude Opus 5 scored 30.2% on ARC-AGI-3, nearly four times GPT-5.6 Sol's prior record of 7.8%. It also tops the Artificial Analysis Intelligence Index and undercuts Fable 5's per-task cost by 70%.
Google Loses SerpApi DMCA Bid: Public Search Results Are Not a Copyright Lock
A California federal court dismissed Google's core anti-circumvention claims against SerpApi, limiting how far platforms can stretch the DMCA to block scraping of public search results. Google gets 21 days to rework a narrower image-related claim.
Microsoft Puts MAI-Cyber-1-Flash Inside MDASH: 96% CyberGym at Half the Cost
Microsoft's first cyber-specific model routes 90% of MDASH vulnerability work away from expensive frontier models and reserves GPT-5.4 for the hardest 10%. The combined system scores 95.95% on CyberGym, roughly 12 points above Mythos, while cutting MDASH model cost by 50%.
OpenAI and Anthropic Hit $3.17M Q2 Lobbying Record as AI Policy Moves to Washington
OpenAI and Anthropic spent a combined $3.17 million on federal lobbying in Q2 2026, up 23% from Q1 and roughly double year over year. Anthropic alone spent $1.97 million, more than Nvidia, as cybersecurity, copyright, cloud, defense procurement, and model oversight moved into the policy stack.
You Can Predict RL Gains Before Running Them: Pretraining Loss Is the Oracle
A new paper finds that pretraining validation loss predicts post-RL pass@1 with correlation up to 0.99, and RL's compute-optimal share maxes out at 28% — before that ceiling, labs are burning GPU time they could have priced out in advance.
Claude Opus 5 Enters LiveBench at #3 Overall — Beats Fable 5 on Agentic Coding 61.3% to 46.9%
Claude Opus 5 Thinking xHigh debuted at 80.3 overall on LiveBench, landing third behind GPT-5.6 Sol and Fable 5. On the metric that matters most for production agents, it beats Fable 5 by 14.4 points — and costs $0.487 per successful task versus Fable 5's $1.573.
Refused Isn't Cleared: Agent Memory Files Carry Injections Into the Next Session
A University of Washington study finds that AI agents often refuse prompt injection attacks in memory files but leave the malicious instruction intact — where it waits for the next session, a cheaper model, or a subagent that won't say no.
LiveBench Agentic Coding: Terra Leads at 68.0%, Fable 5 Posts the Worst Score in the Frontier Tier at 46.9%
The July 2026 LiveBench data shows GPT-5.6 Terra leading agentic coding at 68.0%, with the cheapest cost per successful task in the frontier tier at $0.497. Fable 5 scores last among top-tier models at 46.9% agentic coding while costing $1.573 per task, 3.2x Terra's price.
LLMs Just Made Formal Software Verification Practical: A Google Engineer Proved zstd in Lean 4
Adam Langley, the Google security engineer behind BoringSSL, formally verified a Zstandard decompressor in Lean 4 using LLM-assisted proof automation. His conclusion: the 10x proof overhead that made formal verification economically unviable for production software no longer applies.
Gemini 3.5 Flash Lite Targets the Sub-Agent Layer at $0.30/$2.50 Per Million
Google released Gemini 3.5 Flash Lite on July 21, a model designed specifically for sub-agent execution in multi-agent workflows. At 174 tokens per second and a 90% cache discount, it undercuts Flash on price while keeping the 1M context window.
Anthropic's Project Pilot Puts Claude Behind the Controls of a Surveillance Drone
Anthropic has published a new autonomous drone benchmark, Drone-Bench, testing whether frontier AI models can pilot a flying drone to locate and follow a target without human input. The work surfaces real capability thresholds and safety risks Anthropic says its Frontier Red Team now tracks systematically.
Terence Tao Tells ICM 2026 That AI Reasoning for Science Is Becoming Measurable and Cheap
At the International Congress of Mathematicians 2026, Fields Medal winner Terence Tao delivered a public lecture on mathematics and AI, arguing that frontier models' reasoning capabilities are now trackable across scientific domains and cheap enough that labs should be doing it systematically. His talk arrives weeks after Claude Fable 5 produced a verifiable counterexample to the 85-year-old Jacobian Conjecture.
Microsoft's MAI-Voice-2-Flash Undercuts OpenAI by Up to 89% in Enterprise Voice
Microsoft released MAI-Voice-2-Flash into public preview alongside MAI-Image-2.5-Pro, claiming up to 89% lower cost than OpenAI equivalents. The company holds a $13B+ stake in OpenAI and now offers cheaper competing models on the same Azure platform.
OpenAI's Jalapeño Chip Goes Official: Broadcom-Designed, 50% Cheaper Than Nvidia, Ships End-2026
OpenAI and Broadcom unveiled Jalapeño on June 24, OpenAI's first custom inference chip, codenamed Titan. Broadcom CEO Hock Tan claims 50% better cost efficiency over standard AI GPUs. Deployment starts end-2026, full commercial scale by H1 2028.