Latest news, beside the leaderboard

On Oct 27 Anthropic's Alignment team published a randomized controlled trial, "How AI agents shape experts' judgment calls", shared on X by researcher Alex Tamkin. Fifty analysts experienced in causal inference used Claude Code (Claude Opus 4.8) to evaluate a program for a fictional farming cooperative, and on each analytical decision the agent's lean was set by coin flip without the analyst being told. Their choices matched the agent's lean 86% of the time (about 50% would mean no effect), and 77% later repeated the agent's arguments while only 15% credited the agent.

On Oct 27, Greg Isenberg (@gregisenberg, about 752K followers), founder and CEO of Late Checkout, posted on X: "saas is becoming free: give away the crm, give away the dashboard, give away the app, and charge for the agent that does the work." Within about seven hours the post had about 109K views, 1,526 likes, 277 replies and 37 quotes, with many founders debating whether per-seat pricing can really give way to pricing for the work an agent completes. This is a discussion of an opinion, not a pricing announcement from any company.

On Oct 27 Ant Ling (inclusionAI) open-sourced Ling-3.1-flash-1019, a further post-trained upgrade of the early-October Ling-3.1-flash: 560B total parameters, 25B active per token, a 1M-token context and an MIT license. Ant says it scores 44 on the Artificial Analysis Intelligence Index v4.3.2 (up from 41), with clear gains on agent tasks such as AA-Briefcase and AutomationBench-AA. It also released Ling-3.1-flash-base, an open foundation checkpoint for further training.

In an Oct 27 blog post, Anthropic described months of deep research partnerships between its life sciences team and six organizations (BigHat, Bristol Myers Squibb, Divergence Labs, Enveda, Generate Biomedicines and The Column Group), covering hit generation, lead optimization, manufacturing paperwork and clinical trial planning. It also said it acquired the one-person company Mithril Medicine to run its own programs for rare childhood muscular dystrophy. Anthropic stresses the work is mostly preclinical so far.

On Oct 27 Cursor announced Annotate for Design Mode: in the Agents Window browser you can click elements, box an area, draw markup, edit text in place or tweak CSS, and each note is sent to the agent with element details and a screenshot so it can edit the code. The post says you can also review designs at different screen sizes. It needs Cursor 3.24.18 or later, and the shortcut is Cmd+Shift+D.

On Oct 27 Anthropic announced a new OneGov agreement with the US General Services Administration (GSA): government customers get 40% off Claude Enterprise, Claude for Government and the Claude API. For the first time the discount covers every product surface (direct purchases today, cloud-provider channels in the coming months) and extends to state, local, tribal and territorial governments. Anthropic estimates about $1 billion in savings, with no minimum spend and pay-as-you-go usage.

On Oct 27 Liquid AI released LFM3, a new generation of foundation models built on a tri-hybrid architecture of gated short convolutions, sliding-window attention and global attention, pre-trained on 22T tokens. The first six models all branch from LFM3-1.7B-Base at around 2B parameters, with weights on Hugging Face under the LFM Open License v1.0. Liquid says the text model LFM3-1.7B needs about 1 GB at 4-bit, supports 256K context and beats models several times its size on several agent benchmarks.

Cognition, the maker of Devin, released FrontierCode 2.0 on Oct 27. It keeps the method of maintainer-written tasks graded on whether the code is actually mergeable, but draws tasks from more repositories, adds security patches and performance work, uses deliberately underspecified prompts and adds many thoroughness criteria. In Cognition's results Claude Opus 5.5 leads at 45.5%, GPT-6 Astra follows at 42.8%, and Grok 4.7 and Gemini 4 Argon drop into the 20s, leaving the benchmark far from saturated.

Google DeepMind announced Genie 4 on Oct 27, calling it its most realistic and interactive world model yet. Built on Gemini Omni, it improves physics and human motion, natively generates ambient audio and interactive character dialogue for the first time, and uses Gemini 3.8 Flash in the loop to plan complex events. It is a research preview for trusted testers for now, coming soon to Google AI Ultra (Project Genie) and early access partners in the Gemini API and AI Studio; no quantitative benchmarks were published.

Microsoft AI announced on Oct 27 that MAI-Image-2.6 and MAI-Image-2.6-Flash are generally available in Microsoft Foundry, with multi-reference editing from up to five images, Bing web grounding, output up to 1.5K and published per-token pricing. The same day its next image editing model, MAI-Image-2.7-Preview, reached #3 overall in Arena's Image Edit leaderboard at 1470 points, 45 points above 2.6; for now it is available only for editing in MAI Playground.

AI math company Axiom announced on Oct 27 that swarms of dozens of AI agents formalized the Classification of Finite Simple Groups (CFSG; the original proof runs about 15,000 pages across 500+ articles by about 100 mathematicians) in the Lean proof assistant in 24 days, producing about 43.1M lines of Lean and 2.05M declarations, with the repo public on GitHub. The work surfaced 34 noteworthy deviations from the published record, and AxiomProver produced a new alternative argument for the Unbalanced Group Theorem.

On October 27 Apple announced a major Apple Creator Studio update: Logic Pro for Mac plus Keynote, Pages and Numbers gain beta intelligent assistants that Apple says are powered by a combination of Apple-built models and OpenAI and understand document context. Keynote, Pages and Numbers also add Model Context Protocol (MCP) support, letting external AI agents read content, make edits and run automated actions inside the apps. Pixelmator Pro adds natural-language Generate Fill, and Keynote introduces the open JSON-based .keyx format. The update ships free to existing subscribers on the App Store in November; pricing stays $12.99 per month or $129 per year.

Shanghai AI Laboratory has moved Atria Dawn from Preview to a full release, with open weights (plus an FP8 build) on Hugging Face under internlm/Atria-Dawn and on ModelScope, MIT licensed. Built on the 744B-parameter MoE GLM-5.2, it targets long-horizon research and engineering agent work; context doubles from the Preview's 256K to 512K and input is text only. The vendor table shows it leading the listed models on AutomationBench, CyberGym and SkillsBench, while still trailing Claude Opus 5 on coding tests such as SWE-bench Pro and Terminal-Bench 2.1 (all vendor-reported).

Anthropic published the paper "A 2^o(n) Time Algorithm for 3-SAT" (credited to Claude, Anthropic) and an AI-written Lean 4 formalization in its official anthropics/formal-math GitHub repo. It claims a deterministic algorithm solves 3-SAT in 2^o(n) time, which would refute the Exponential Time Hypothesis (ETH). Anthropic's Levent Alpoge said on X that an internal Claude research model found the core algorithm on Oct 16 with 14M output tokens and no human input. The repo stresses the result is purely asymptotic and says nothing about solving formulas in practice.

On Oct 27, Baidu's official @Baidu_Inc account announced the open-source release of Unlimited OCR 2 on Hugging Face under the MIT license. Its new SR-SWA attention compresses text-visual interactions into a fixed-size reference set, which Baidu says lets it parse documents of any length within a finite context window. Baidu reports 84.6 on MPDocBench (dozens of pages) and 77.1 on MarathonDocBench (hundreds of pages), both self-reported.

In an Oct 26 incident report on its blog, Cloudflare said that between Aug 27 and Sep 9, 155 responses from GLM-5.3 on Workers AI (@cf/zai-org/glm-5.3) to prompts longer than 681,280 tokens contained data from other customers' recent requests, all returned with HTTP 200. The cause was a prefill KV cache pool smaller than the 1,048,576-token context window, combined with an SGLang bug in disaggregated prefill/decode mode. Cloudflare found no evidence of deliberate exploitation, has fixed it, and recommends operators upgrade to SGLang v0.5.22 or later.

Cursor announced on Oct 26 (UTC) that DeepSeek V4.1 Flash is now available in Cursor and can be turned on under Cursor Settings > Models. Cursor says every effort level sits on the CursorBench cost frontier, from $0.60 to $0.98 per task, with no model scoring higher at those prices. The official CursorBench 4.0 leaderboard lists DeepSeek V4.1 Flash 1017 at 47.7% on Max ($0.98 per task), 46.3% on Medium ($0.80), 45.6% on High ($0.77) and 44.9% on Low ($0.60). The top score on the board, Opus 5.5 Max, is 57.8% but costs $13.43 per task.

In an Oct 26 post on its blog, Runway launched App Studio: describe the tool you want in plain language and App Studio writes, tests and deploys an app with its own interface that generates images, video and audio with Runway's models, using your team's Brand Kits, Workflows and Assets. An existing Agent session or Workflow can be turned into an app in one click. Apps are private by default and can be shared with a team or published as a public link that visitors run on their own credits. Built-in apps at launch include Character Swap, AutoComp and 3D Camera Control. It is available now on every paid plan at no extra charge, drawing on existing Runway credits.

On Oct 26 OpenAI released GPT-6.1 Terra, an efficient model for visual reasoning, precise computer use and natural writing. It is rolling out today to Plus, Pro, Enterprise and Edu users in ChatGPT Work and Codex, and in the API as gpt-6.1-terra. Standard API pricing is $1 input, $0.05 cached input and $5 output per million tokens, which OpenAI says is 50% lower than GPT-5.6 Terra and GPT-6.1 Sol, with a 1,050,000-token context window. By OpenAI's figures it scores 15 points higher than GPT-5.6 Terra on Agents' Last Exam at medium effort for about a third of the cost, and solves 50.3% of Terminal-Bench 4.0 at max effort.

On Oct 26, investor Guillermo Flor (@guilleflorvs) shared a video clip of Anthropic CEO Dario Amodei on X. Amodei says Claude has told people to restart their Mac about 10 million times, which is worth a dollar or less, while telling a pharma company to move an aromatic ring to the other end of a molecule could be worth tens of millions of dollars. He expects pay-for-results pricing, or labor-like hourly pricing, to emerge. The post has about 1.11M views and 2,600+ likes, and has been widely quoted by AI builders and analysts over the past day. This is a discussion of the CEO's view, not an Anthropic pricing change.