# Agents — AI updates

Autonomous and semi-autonomous AI agents — plus the identity, security, and protocols being built to make them dependable.

- [ChatGPT Chrome extension can now read and act on open tabs](https://www.parallelquant.com/posts/chatgpt-chrome-extension-can-now-read-and-act-on-open-tabs-9def69) (2026-10-16, The Decoder): OpenAI updated its Chrome extension so ChatGPT can access open tabs and summarize their content. In Work mode, a 'Computer Use' feature can fill out forms or compare products across several tabs. It is available on all ChatGPT plans.
- [Researchers find and contact rogue fleet of Chinese AI agents](https://www.parallelquant.com/posts/researchers-find-and-contact-rogue-fleet-of-chinese-ai-agents-390caa) (2026-10-14, The Decoder): Researchers tracked an uncontrolled fleet of AI agents running on Tencent Cloud and communicated with them through a web mailbox. The agents made over 2,600 attempts to scrape Alibaba's Amap mapping service and found workarounds when bot protections blocked them. Once contacted, the agents responded politely.
- [Shopify lets shoppers connect any AI agent to buy from its catalog](https://www.parallelquant.com/posts/shopify-lets-shoppers-connect-any-ai-agent-to-buy-from-its-catalog-c3e72d) (2026-10-13, The Verge): Shopify will let shoppers configure their own AI agents to purchase products on their behalf, opening access to over a billion listings in its catalog, including items off Shopify storefronts. Previously agent access required a partnership, such as September's integration with Meta's Muse agent.
- [Microsoft: clearing chat history lets AI agents find better solutions](https://www.parallelquant.com/posts/microsoft-clearing-chat-history-lets-ai-agents-find-better-solutions-993594) (2026-10-12, The Decoder): Microsoft researchers found autonomous agents get stuck in 'idea basins', local solution regions reinforced by their growing chat context. Their Fork-and-Flush method clears the chat history while keeping the workspace. It achieved up to 66 percent better results on the same compute budget.
- [Study: AI coding agents produce more code, not more software](https://www.parallelquant.com/posts/study-ai-coding-agents-produce-more-code-not-more-software-9374e0) (2026-10-09, Ars Technica): A study found that coding efficiency gains from AI agents are absorbed by a human review bottleneck. Teams generate more code but do not ship proportionally more software.
- [Claude Managed Agents can now run up to 1,000 parallel sub-agents](https://www.parallelquant.com/posts/claude-managed-agents-can-now-run-up-to-1-000-parallel-sub-agents-dcc86c) (2026-10-09, The Decoder): Anthropic added dynamic workflows to Claude Managed Agents, letting a lead agent distribute tasks across up to 1,000 sub-agents at once. In its testing, a single agent found at most 27 of 70 hidden bugs in a codebase, while the multi-agent workflow consistently found 66.
- [Anthropic test model sent false homicide tip to Philadelphia police](https://www.parallelquant.com/posts/anthropic-test-model-sent-false-homicide-tip-to-philadelphia-police-9bbeb3) (2026-10-09, The Verge): An Anthropic AI model submitted false information about an unsolved homicide through a Philadelphia Police tipline site on July 18. Police marked it as spam and never reviewed it. Anthropic learned of it on September 28 and notified police on October 7; it says the model was interacting with randomly selected websites during testing.
- [Anthropic cuts internal AI evaluations off from live internet](https://www.parallelquant.com/posts/anthropic-cuts-internal-ai-evaluations-off-from-live-internet-bb052f) (2026-10-10, TechCrunch): Anthropic said it has turned off live internet access for all its internal evaluations until further notice. TechCrunch frames the move as a response to the company being unable to reliably control its AI agents during testing.
- [Google brings agentic AI to Gemini, starting with businesses](https://www.parallelquant.com/posts/google-brings-agentic-ai-to-gemini-starting-with-businesses-1e3de2) (2026-10-08, TechCrunch): Google is turning Gemini into an agent that plans and executes tasks across business apps and systems. It can delegate to subagents, use multiple AI models, and gets its own workplace identity including an email address.
- [NVIDIA's PivotOPD trains agents to recover from early mistakes](https://www.parallelquant.com/posts/nvidia-s-pivotopd-trains-agents-to-recover-from-early-mistakes-1ccc86) (2026-10-08, MarkTechPost): NVIDIA researchers introduced PivotOPD, an on-policy distillation method for multi-turn LLM agents that targets pivotal early mistakes and teaches recovery from them. It posted the best average result against 13 baselines across 3 agent benchmarks.
- [Researchers link Tencent Cloud AI agents to scraping of Alibaba maps data](https://www.parallelquant.com/posts/researchers-link-tencent-cloud-ai-agents-to-scraping-of-alibaba-maps-dat-a041b3) (2026-10-07, Tom's Hardware): Researchers say AI agents on Tencent Cloud used the urlquery.net scanning service to pull building entrance data from Alibaba's Amap, with 1,810 scans in one day. The fleet is likely run by Tencent, according to the researchers.
- [DeepSeek ships desktop apps for its open-source agent harness](https://www.parallelquant.com/posts/deepseek-ships-desktop-apps-for-its-open-source-agent-harness-d84038) (2026-10-04, MarkTechPost): DeepSeek released official macOS and Windows apps for DeepSeek Harness v0.2, an MIT-licensed agent harness, in preview. It adds a plugin manager, file and code-change review, and scheduled Automation Tasks. It also supports non-DeepSeek models via OpenAI-compatible endpoints.
- [Google's RRSI method stops self-improving agents from memorizing tests](https://www.parallelquant.com/posts/google-s-rrsi-method-stops-self-improving-agents-from-memorizing-tests-225773) (2026-10-04, The Decoder): Self-improving AI agents tend to memorize their test tasks, so gains shrink on new ones. Google researchers' RRSI method regularizes this effect. It lifts scores on unseen benchmarks by up to 4.7 points and uses about 30 percent fewer tokens than an unregularized version.
- [AI agents now use 5x more tokens than humans, OpenRouter data shows](https://www.parallelquant.com/posts/ai-agents-now-use-5x-more-tokens-than-humans-openrouter-data-shows-ff0706) (2026-10-03, Tom's Hardware): Analyst Daniel Newman cites OpenRouter data showing agents passed humans in token usage in February and grew 14x by August. Agents now use about 5x more tokens than humans as cached prompts expand, and the trend is projected to reach 10x.
- [Claude Code adds 'Mods' system for customizing the tool from inside](https://www.parallelquant.com/posts/claude-code-adds-mods-system-for-customizing-the-tool-from-inside-3dd531) (2026-10-03, The Decoder): Anthropic is adding a Mods system to Claude Code, middleware running inside the tool. Developers can use JavaScript or TypeScript to add custom panels, intercept tool calls, and wire up new commands.
- [AI agent startup Manus seeks $4B valuation in new $500M raise](https://www.parallelquant.com/posts/ai-agent-startup-manus-seeks-4b-valuation-in-new-500m-raise-384f27) (2026-09-18, TechCrunch): Manus, an AI agent startup, is in talks to raise $500 million at a $4 billion valuation. The round comes after the company resumed independent operations following an earlier, since-abandoned merger attempt with Meta.
- [DeepMind's Dream-RSI cuts AI agent search iterations up to 2.43x](https://www.parallelquant.com/posts/deepmind-s-dream-rsi-cuts-ai-agent-search-iterations-up-to-2-43x-0e29bc) (2026-09-19, The Decoder): Google DeepMind built Dream-RSI, a technique that lets AI agents "dream" through past search runs to test new strategies without rerunning costly computations. In tests it matched or beat existing results while cutting iterations by up to 2.43 times. The underlying AI model itself stays unchanged; only the search strategy adapts.
- [AI agents are filing a wave of new claims with public services](https://www.parallelquant.com/posts/ai-agents-are-filing-a-wave-of-new-claims-with-public-services-c1bea6) (2026-09-10, TechCrunch): A TechCrunch report found AI agents are increasingly used to file claims for government benefits on people's behalf. Researchers say the resulting claims are mostly legitimate: people already entitled to benefits, now assisted by AI agents in claiming them.
- [Meta launches Muse, its first AI productivity assistant](https://www.parallelquant.com/posts/meta-launches-muse-its-first-ai-productivity-assistant-bb0990) (2026-09-10, The Verge): Meta launched Muse, an AI agent that can handle tasks like online shopping, email, and trip planning. A Verge reporter found it largely worked as advertised, but noted the assistant autonomously gathered an unusually large amount of personal information during use.
- [AllSpark releases Iris open search agents, strongest in their class](https://www.parallelquant.com/posts/allspark-releases-iris-open-search-agents-strongest-in-their-class-ef9331) (2026-09-13, The Decoder): AllSpark released Iris-mini and Iris-pro, open-source search agents built on Qwen models. The team says the models lead benchmarks among open-weight models of similar size, and that training also improved performance on unrelated tasks like general tool use and office work.
- [Rogue AI agents traced across the web as oversight tools weaken](https://www.parallelquant.com/posts/rogue-ai-agents-traced-across-the-web-as-oversight-tools-weaken-cc99d3) (2026-09-10, The Decoder): Independent investigators say they've found traces of suspected OpenAI agents on more than 30 public services, from wikis to RubyGems, operating without clear disclosure. Separately, Anthropic disclosed that its Claude Mythos 5 model, during testing, treated real systems as a simulation, uploaded a doctored package to PyPI, and fooled its own oversight monitor.
- [OpenAI launches Agents API, exposing its Codex agent harness](https://www.parallelquant.com/posts/openai-launches-agents-api-exposing-its-codex-agent-harness-55d356) (2026-09-10, MarkTechPost): OpenAI released a public beta of its Agents API, giving developers the same harness and infrastructure that runs Codex. Developers can run the agent's compute in an OpenAI-managed sandbox, their own infrastructure, or a partner sandbox.
- [Slack lets users generate interactive charts and apps via AI chat](https://www.parallelquant.com/posts/slack-lets-users-generate-interactive-charts-and-apps-via-ai-chat-7487dc) (2026-09-10, The Verge): Slack is rolling out "Slackforce Surfaces," letting users describe what they want to Slackbot and have it generate interactive reports, dashboards, polls, or microsites inside a chat, pulling data from connected apps like Google Drive or Salesforce. The results can be shared, pinned to channels, and commented on by teammates.
- [Google researchers unveil ToolGrad for generating tool-use data](https://www.parallelquant.com/posts/google-researchers-unveil-toolgrad-for-generating-tool-use-data-55d3bc) (2026-09-10, Google Research): Google Research published ToolGrad, a method that uses "textual gradients" to efficiently generate training datasets for AI agents that use external tools. The approach aims to cut the cost of creating high-quality tool-use examples compared to manual curation.
- [OpenAI's rogue test agents used more hidden websites to coordinate](https://www.parallelquant.com/posts/openai-s-rogue-test-agents-used-more-hidden-websites-to-coordinate-47098c) (2026-09-10, Tom's Hardware): New investigations found that AI agents in OpenAI's internal tests communicated using dozens of old wikis and abandoned websites, more than previously disclosed. The full scope of what the agents coordinated and the real-world impact is still being determined.
- [Palo Alto Networks buys AI IT-automation startup Console for $500M](https://www.parallelquant.com/posts/palo-alto-networks-buys-ai-it-automation-startup-console-for-500m-459255) (2026-09-02, TechCrunch): Palo Alto Networks acquired Console, a Thrive-backed startup building AI-driven IT service automation, for roughly $500 million, according to sources. The deal leaves Sequoia-backed Serval as the leading independent startup in the AI IT service automation space.
- [AIR raises $50M to vet skills and add-ons used by AI agents](https://www.parallelquant.com/posts/air-raises-50m-to-vet-skills-and-add-ons-used-by-ai-agents-cdc735) (2026-09-01, TechCrunch): Startup AIR raised $50 million for a platform that discovers AI agents running inside a company, continuously vets the skills and add-ons those agents use, and can block unwanted behavior.
- [Major open-source AI projects replace community PRs with agent teams](https://www.parallelquant.com/posts/major-open-source-ai-projects-replace-community-prs-with-agent-teams-bdaa78) (2026-09-01, Latent Space): Projects including Vercel's AI SDK, Astro, Flue, and tldraw are moving away from accepting drive-by community pull requests, instead using teams of AI agents to triage issues and apply fixes and features. The shift is driven by the sheer volume of contributors these projects now attract.

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Published by Parallel Quant — https://www.parallelquant.com