AI Coding Live News

On November 1, John Burn-Murdoch, a Financial Times columnist and chief data reporter, posted a long X thread with his FT piece arguing that the productivity rise in AI-adopting US sectors began in 2020, before AI agents existed, shows up only in the US, and comes mainly from tech layoffs and hiring pullbacks rather than AI. The thread opener has about 1,344 likes, 306 reposts and 186K views. Gavin Baker, managing partner and CIO of Atreides Management, quoted the FT charts and said it is hard not to see some evidence of "ROI on AI," citing a16z and EPB Research data; his post has about 793 likes and 102K views. Burn-Murdoch replied that he is "slightly on the fence" and that the data cannot rule out a role for AI. These are two readings of the same data, not a settled finding.

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An Oct 30 NVIDIA blog post says Breakthrough Listen and the SETI Institute have brought agents into daily SETI work at the Allen Telescope Array (ATA, 42 dishes of 6 m each) in Northern California: from a single natural-language request, agents can steer the antennas, calibrate and focus, fix data errors, and run AI models on the live stream. Holoscan's DAQIRI library pulls sensor data straight into GPU memory, the SETI Institute's CyberEther handles signal processing, and the web-based orchestrator Nexus acts as the agent harness, handling up to 2.4 Tbps on premises on RTX PRO 6000 Blackwell GPUs. The pipeline has made the first real-time AI detection of a pulsar in the Crab Nebula, and the team is evaluating open models such as Nemotron. The @NVIDIAAI Halloween post on Oct 31 drew about 274 likes.

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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.

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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.

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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.

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On Oct 26, Zerodha founder and CEO Nithin Kamath asked on X how people are using Kite APIs with AI agents now that they are free, and what they have built. He said AI coding agents such as Claude Code and Codex have made it much easier for traders and investors to build their own tools without much coding experience, and that Zerodha is seeing more Kite API usage because of these agents. Within about 10 hours the post drew more than 2,200 likes, over 2,000 bookmarks and 200+ replies. This is an X discussion and the CEO's own view, not a new product launch.

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At Oracle AI World in Las Vegas on Oct 26, Oracle announced Oracle Fusion Claw, a new execution runtime for agents, and 25 Claw-powered Agentic Applications now available across ERP, HCM, supply chain (SCM) and customer experience (CX). It also introduced Fusion Companion and Fusion Agentic Home: employees describe a goal in natural language in supported AI tools such as ChatGPT or in the native Fusion interface, and the system picks and coordinates the transactions, workflows, approvals and AI agents needed, within existing identity, permission and approval controls. Oracle has not published pricing, benchmarks or a detailed rollout schedule.

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At 15:58 UTC on 2026-10-25, developer Thorsten Ball (@thorstenball) published an X article, "How I work with Agents" (post), summarizing how he works with coding agents "as of October 2026": use only the latest and strongest models, prompt for what you want rather than how to do it, make the whole development lifecycle from deploys to production logs visible to the agent, ask agents for "irrefutable proof", and review only code with a high blast radius. When we pulled it, the post had about 1,935 likes, 143 reposts, 92 replies, 3,981 bookmarks and 137K views, and it reached X's trending stories. This is a personal account of practice presented as opinion, not a verified conclusion.

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On October 21 Walmart announced Agent Profiles, the Walmart Agent Gateway and terms for AI agents. The Gateway lets agents search and buy across Walmart and Sam's Club over MCP, starting with a beta for companies and developers. Agent Profiles, due next month, let shoppers authorize each agent separately, see its orders apart from their own, set a spending limit or approve every purchase, and revoke access at any time. Agents never receive payment-card data and are blocked if they break the terms. TechCrunch reports Amazon is moving the other way and blocking third-party shopping agents.

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At GTC Berlin on Oct 21, NVIDIA announced the OpenShell Reference Architecture: building on the open-source OpenShell secure runtime, it pairs Vera Rubin for inference, Vera CPUs for agent harnesses, and BlueField-4 DPUs running NVIDIA Sentry for in-silicon policy enforcement, so enterprises can build, contain, observe and govern agents on-prem and at the edge. NVIDIA says it is available now; partners named include Anthropic, OpenAI, Meta, Microsoft and ServiceNow. The software is Apache 2.0.

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On Oct 20, AI startup humans& released its first model, Ampersand v0.1, pitched as a collaborator that helps groups reach individual and shared goals rather than an assistant that completes tasks alone. It is trained from Z.ai's GLM 5.3 (about 744B total, about 40B active parameters) with long-horizon multi-party RL against simulated users played by humans&'s own user model, Persimmon. It is available now, with no waitlist, through an API compatible with OpenAI's Agents API.

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Kling AI made Kling 4.0 fully available on Oct 15, confirmed by a Kuaishou press release on Oct 16. It natively generates up to 30 seconds per pass; Omni Reference combines up to 15 assets (≤10 images, 5 videos, 7 subjects) with up to 10 keyframes, 8,000-token prompts and 21:9 output. Kling 4.0 is also wired into Kling MCP and CLI so AI agents can call it. 10-bit HDR at 4K/1080p and enterprise/developer API access are marked "coming soon". No quantitative benchmarks were published.

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Can AI agents recursively self-improve while keeping underlying model weights completely fixed? Researchers introduce the Self-Evolving Agent Harness (Harness-RSI) framework, formalizing feedback-driven revisions across prompts, memory, workflows, executable tools, and repository-level control logic. Backed by continual PAC-learning generalization bounds, historical regression budgets, and high-probability admission rules, the 66-page treatise and codebase are open-sourced on GitHub.

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