CL-SN55 941 —
GPT-61S 885 —
GPT-56T 861 —
GPT-6S 825 —
CL-OP55X 819 —
MUSE-SPK 793 —
QWEN-38X 779 —
GPT-6A 778 —
CL-OP5H 712 —
CL-OP5X 710 —
KIMI-K3X 700 —
CL-OP46H 695 —
CL-FAB5H 693 —
CL-OP55H 693 —
CL-OP47H 684 —
GEM-37FH 649 —
GEM-38FH 634 —
GPT-56S 570 -0.5%
CL-OP47 537 -0.4%
INKL 531 —
GEM-3P 494 —
CL-OP46 489 -0.2%
CL-OP48 482 -0.2%
GEM-31P 457 -0.2%
GPT-6L 436 —
CL-SN55 941 —
GPT-61S 885 —
GPT-56T 861 —
GPT-6S 825 —
CL-OP55X 819 —
MUSE-SPK 793 —
QWEN-38X 779 —
GPT-6A 778 —
CL-OP5H 712 —
CL-OP5X 710 —
KIMI-K3X 700 —
CL-OP46H 695 —
CL-FAB5H 693 —
CL-OP55H 693 —
CL-OP47H 684 —
GEM-37FH 649 —
GEM-38FH 634 —
GPT-56S 570 -0.5%
CL-OP47 537 -0.4%
INKL 531 —
GEM-3P 494 —
CL-OP46 489 -0.2%
CL-OP48 482 -0.2%
GEM-31P 457 -0.2%
GPT-6L 436 —

Live Feed

2mo ago release

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%.

2mo ago policy

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.

2mo ago research

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.

2mo ago benchmark

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.

2mo ago research

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.

2mo ago benchmark

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.

2mo ago research

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.

2mo ago release

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.

2mo ago benchmark

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.

2mo ago research

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.

2mo ago release

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.

2mo ago release

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.

2mo ago release

Anthropic Launches Claude Opus 5 Fast at $10/$50 Per Million — 3x Cheaper Than Opus 4.6 Fast Was

Opus 5 Fast went live on July 24 at $10 input / $50 output per million tokens. That is 2x standard Opus 5 and a third of what Opus 4.6 Fast cost — with the same 96% SWE-bench capability underneath. Cache reads are $1/M.

2mo ago policy

Cloudflare's Second Content Independence Day: Search, Agent, and Training Bots Now Get Different Rules

Cloudflare launched a three-way bot taxonomy on its second Content Independence Day. Website owners can now distinguish search crawlers, agent browsers, and training scrapers — and apply different rules to each. Ad-monetized page protection is new. One-size block-all is gone.

2mo ago policy

DeepSeek Pauses Fundraise After Liang Wenfeng's Compute Gap Comments Leak

A transcript of DeepSeek CEO Liang Wenfeng's private investor meeting on July 22 was uploaded to GitHub and spread rapidly. It contains candid admissions about DeepSeek's compute gap with US labs. DeepSeek has paused its ongoing fundraise.