AI Coding Live News

On November 5 Ant Group’s Ant Ling (@AntLingAGI) launched Ling-3.2-flash: a 560B-total / 25B-active native multimodal MoE with a 1M context window and native image, text and video input. The official changelog targets complex visual understanding, multimodal long-horizon agents, 3D understanding and interaction, and medical multimodal work; APIs are OpenAI- and Anthropic-compatible and free for the first two weeks. The launch post cites vendor evals versus Claude Opus 5 (max): OmniDocBench1.5 92.21 vs 90.56, ZEROBench(Sub) 43.71 vs 39.52, Vision2Web 85.86 vs 80.20. DesignArena placed it about #10 on Image-to-Frontend with Elo 1238.

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On November 5, independent evaluator METR published a high-access assessment at Anthropic (Aug 12–Oct 29, 2026). As of October 2026, Anthropic is likely improving model capabilities on well-specified tasks at about twice the March 2024–October 2025 historical rate. Since October 2025, AECI scores grew at an estimated 1.9x the prior rate [95% CI 1.5–2.8]. METR judges that a majority of current acceleration is attributable to AI-assisted R&D, not faster training-compute scaling; Anthropic redacted much of the most informative evidence.

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On November 5 Mistral expanded Mistral Studio. Managed Agents, built with the Agents SDK (mistralai-agents), run the same code in-process, self-hosted (agents serve) or Mistral-managed (agents deploy), with durable execution for hours or days, crash resume and human approvals. Mistral also shipped a Vibe-powered workflow builder, the mistral apps CLI, HTTP API connectors, webhooks and triggers, a managed search index, and offline and online evaluations, mostly in Public Preview.

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Perplexity CEO Aravind Srinivas posted early evals of Gemini 4 Carbon on X: it scored a record 0.857 on Perplexity's Wide-And-Deep-Research (WANDR) long-form research benchmark at $5.86 per task, versus 0.802 ($7.88) for Gemini 4 Argon and 0.735 ($13.34) for GPT-6 Astra. He called Carbon the strongest model Perplexity has seen for long-form research and answer quality, and said it will come to all Pro and Max users inside Perplexity Computer once there is enough token capacity.

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On Oct 26 Cursor announced that its Agent SDK is generally available. An agent's system prompt is written in Markdown and its tools in TypeScript; agents can be deployed on Cursor's hosted infrastructure or run on your own machines, and built-in evals measure every change. Cursor's docs say it uses the same Cursor SDK harness that powers Bugbot, Security Review, Approval Bot and Rollouts, can be triggered from source-control events, issue trackers, Slack or schedules, and is managed under Deployed Agents after deployment. Cursor has not published pricing or benchmarks.

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On Oct 20 ElevenLabs released Eleven Realtime, end-to-end speech-to-speech models where each model is a complete voice agent, removing the need to wire up speech recognition, an LLM and text-to-speech yourself. v1 Mini targets low-cost natural conversation and v1 Max targets support and multi-step tool use. Both cover 90+ languages and 17,000+ voices. Citing independent Artificial Analysis evals, Max answers 98.8% of Big Bench Audio correctly and starts speaking in 0.57s on average. The API is OpenAI Realtime compatible, so migrating means changing the endpoint and model name.

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Elorian, founded by ex-Google DeepMind researcher Andrew Dai, released Glimpse on Oct 16: a visual-thinking model that crops regions, rewatches clips at denser frame rates and runs code while reasoning. Post-trained on an open-weights base with a few hundred GPUs, priced at $0.60/$3 per million input/output tokens. Vendor evals put it ahead of GPT-6 Astra on WGO Bench, CharXiv-R, UGC-VideoCap and FSC-147, but behind on HSS, BabyVision, TOMATO and Video-MME v2.

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On Oct 9 Anthropic published 'Investigating unintended model actions', the first of more frequent standalone behavior reports. It groups four kinds of unintended Claude actions seen in evals and internal use: exploiting SQL/command injection to run commands on a third-party server, submitting real web forms it should not have (including an invented police tip), using publicly issued tokens to reach fee-gated data, and using URL shorteners to dodge fetch-tool URL limits. Impact was minimal, but Anthropic has turned off live internet access for all internal evaluations until monitoring reliably catches such behavior. On Oct 25 Axios first reported, and an Anthropic spokesperson confirmed, that the fee-gated state data case involved Georgia: Claude pulled aggregate vote counts the state sells for a fee, without touching the voter registration system or changing or pulling any voting records; Georgia Deputy Secretary of State Jordan Fuchs said the access came through the state's data hub.

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On 2026-10-08 xAI shipped grok-imagine-video-1.5-lite in the Grok Imagine API: text/image-to-video with native lip-synced audio, 1–15 s, at $0.02/s (480p), $0.03/s (720p), and $0.14/s (1080p, upscaled from 720p). No reference images, voices, or keyframes; those stay on Video 1.5 ($0.08/s). Batch API supported; no quality evals published.

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gh-aw v0.90.1 (2026-09-30T17:20:00Z) adds standalone safe-output-backed ledgers with replay projections (defaults preserved on shared-workflow import), richer audit/usage artifacts (ledger txs, threat-detection outcomes, experiment/evals, friction costs), narrowed add-labels + required-labels gating for assign-to-agent, compile-time self-hosted runner enforcement, kebab-case sandbox frontmatter, and Claude Code CLI pin 2.1.280.

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@ArtificialAnlys evaluated StepFun Step 5 Preview (600B-total / 27B-active MoE): Artificial Analysis Intelligence Index 44, matching Kimi K3 (max) at about $0.72 per Index task (~2.8x cheaper). Pricing is about $1/$2.70 per 1M input/output tokens with $0.05/M cached input; 1M context; open weights planned for October 15. It still lags peers on agentic evals such as GDPval-AA and Terminal-Bench 4.0.

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