#Agent

AIThis Next Token episode discusses Personal Agents, including Dots in Codex, memory and cloud computer permissions, and whether agents should act as assistants or digital twins. The hosts also cover Instinct's booking and business-travel model, hands-on projects built with Opus 5.5, and whether software, games, and hardware could become open source as AI makes rewriting easier.

AIGrok bot 最近真猛啊！ 现在可以搜索、阅读甚至监控指定的推特内容 比如你可以让他在 tibo 重置 Codex 额度的时候通知你 这些都是免费的，不通过以前的 xapi 实现 --- Translation: Grok bot has been really impressive lately! Now it can search, read, and even monitor specified tweets on X For example, you can have it notify you when tibo resets the Codex quota All of this is free, and not implemented via the previous xapi

AIMUZIM L1 is a desktop data dock with up to 24TB of storage, dual SSD slots, and a Vibe Search feature that finds files by natural-language description, with local-first processing rather than default cloud upload. Lumeria Lumoscope is a multispectral skin scope that clips onto a phone, using RGB, ultraviolet, polarized, and near-infrared light, priced at $199 in pre-sale. The article also covers immurok IK-1, a 59-dollar wireless fingerprint key with a 60-day standby battery that authorizes sudo, SSH, and Git actions on Mac, Windows, and Linux.

AIBoris Cherny, who owns the Anthropic account, says a feature was built from one prompt and Claude verified it well. He reports no bugs so far.

AIScott Wu of Cognition says virtual employees are coming soon, according to a post by Amir Efrati summarizing the AI productivity debate. The post cites Diogo Almeida, former OpenAI and current TypeFace chief and creator of Jev, as a participant in the debate. The source provides no further details on the claims.

AIDHH, creator of Ruby on Rails, will join a fireside chat at Fireworks Forge on November 3 in San Francisco. The conversation will cover his new thoughts on AI coding, controlling the AI stack, and what that means for small teams building specialized intelligence.

AIEpoch gave six models 11 real work tasks from its own operations, including graphic design, data insights, and research design, and graded outputs against employee standards. Fable 5.1 and GPT-6 Astra led on average task performance, reliably handling well-defined work such as coding and computational analysis. The report finds that all models still fail on open-ended judgment, including matching Epoch's standards, designing informative experiments, and generating diverse ideas, so the authors conclude AI cannot yet replace workers at Epoch.

Why it matters: The report separates well-defined task reliability from open-ended judgment failures, which benchmark scores on easily verifiable tasks would miss.

AIGoogle Developers Blog introduces AQuA, an ambient quality agent that runs in a customer's Google Cloud project and samples production sessions to find recurring agent failures. In a 32-session travel-concierge sweep, it verified six issues and traced two of them to specific prompt lines, and a replay after the fixes raised full-session passes from 5/32 to 13/32. The post notes that verification and diagnosis are model-based, and that the tool proposes edits without applying them.

Why it matters: The post walks through a concrete production workflow, from sweep and verification to a code-anchored fix and replay, that shows how to diagnose silent agent failures.

AIA Hugging Face blog author used the ML-Intern agent in HuggingChat to build six small models by writing detailed prompts that specify datasets, base models, baselines, smoke tests, and spending limits. The projects include a citrus disease vision-language model, a Huggy character LoRA, a camera-angle LoRA, a doodle-to-object LoRA, a 0.8B prompt rewriter, and a 4-step distilled Agate model, with total compute cost of about USD 103. Each project's prompts and public models are linked from the post.

Why it matters: The author shows how prompt structure, baselines, smoke tests, and budget caps shape an agent-driven training workflow, with per-project costs given.

AICat Wu, who works at Anthropic, says a favorite product manager use case for Claude is asking who used a given feature most last week. She suggests having Claude build an artifact of the top 10 users by usage, then reaching out to schedule 15-minute chats, which she calls the fastest way to get user feedback.

AITeknium, a Nous Research affiliate, posted only the word "hello" on X. The quoted post from Nous Research announces a Series B raise to advance Hermes Agent and build a mobile app, with investors including NVIDIA and Samsung Next.

AIask your Grok @Bot to monitor X for user feedback on your products! send feature requests to your issue tracker, bug reports to a cursor cloud agent or project to triage and fix the loop is complete

AIGuillermo Rauch argues that any program can be hardened and optimized almost endlessly, which the engineering community will rediscover. He notes that these efforts carry real costs in time, attention, and opportunity, and that agents will keep drilling without knowing when to stop.

AIAnthropic released Claude Haiku 5.5, which it calls the fastest, cheapest, and most capable Haiku model so far. On average it costs about 75% less to run than Haiku 4.5, with input at $0.10 and output at $0.50 per million tokens for requests up to 100,000 tokens. Anthropic also cut Sonnet 5.5's cache read price from $0.20 to $0.10 per million tokens, which it says lowers run costs by about 20% on many agent tasks.

AIAnthropic's Claude Haiku 5.5 is available on Databricks from day zero, which Databricks calls its cheapest, fastest, and most capable small model. On Databricks' OfficeQA Pro V1 benchmark, it delivers about 15% higher quality than Haiku 4.5 at a fraction of the cost. Users can run it alongside 60+ other models on data already in Databricks, with Unity Gateway handling governance, monitoring, and security.

AIThe Grok Bot can now search X itself, so one prompt can trigger analysis of more than 100 X posts. Previously it relied on web search or the X connector to reach that content.

AIThe post says users can ask the Grok bot to find all feedback about what they are building, summarize it, and propose a plan to address it, without needing an X account or connector. The background post notes that Grok Bot can now search, read, and monitor X.

AIguys. what the fuck. i have auto reload on and am just trying to pay you all my dollars. yet me agents keep getting interrupted doing multi-hour long tasks for usage limits. a product im paying thousands a week for should not do this!!! oai and ant plz fix @bcherny @romainhuet

AICognition's X post links to a blog post at devin.ai about Claude Haiku 5.5, but the text provides no further details. The post itself offers no benchmark scores, prices, or capabilities to report.

AICognition, the company behind Devin, shared a link inviting readers to try the product at The post provides no further details on features, pricing, or availability.

AIMicrosoft is adding hybrid intelligence to Copilot for Windows, letting it use local PC context and local models for tasks. Per Satya Nadella's quoted post, Windows will route each task to local or cloud models, and Copilot will act on the user's behalf only with permission.

AIAnthropic has released Claude Haiku 5.5, its cheapest and fastest small model, priced at $0.10 per million input tokens and $0.50 per million output tokens for prompts up to 100K tokens. It keeps a 1M token context window, up to 128K output tokens, and is generally available on the Claude API, Amazon Bedrock, Google Cloud, Microsoft Foundry and Claude Platform on AWS. Anthropic reports 72.4% on OSWorld 2.1 (offline subset) versus 15.7% for Haiku 4.5, and the article notes that non-default temperature, top_p or top_k values return a 400 error.

AINVIDIA researchers built PivotOPD, a training method that helps AI agents avoid early mistakes and recover when they occur. During training, a teacher model shows the agent a better action and guides it back on track over the next few steps.

AIMatt Shumer says a setup pairing Opus or Sonnet with Haiku sub-agents is very likely the new alpha and that he plans to try it. The quoted Anthropic post introduces Claude Haiku 5.5 as its cheapest, fastest, and most capable small model, costing around 75% less to run than Claude Haiku 4.5.

AIMicrosoft AI says MAI-Code-1.1-Flash will run on-device inside GitHub Copilot for agentic coding. Local model calls carry no inference charge. The windowsdev post, cited as background, frames this within Windows hybrid intelligence, alongside llama.cpp and Windows ML.

AIReplit is building a powerful desktop app with a focus on security and reliability, citing supply-chain attacks and catastrophic agent mistakes as risks of desktop AI apps. The company is partnering with Microsoft and will be an early adopter of Nvidia's OpenShell. A quoted Replit post says the desktop preview runs builds locally on Windows, with each build in its own sandbox powered by Microsoft Execution Containers and OpenShell, and offers a waitlist.

AIAnthropic's ClaudeDevs account recommends compatible browser drivers from Browser Use, Browserbase, E2B, and Daytona for computer-use tooling. Developers can also write their own driver based on the example drivers in the quickstart. Quickstart and documentation links are provided for the computer-toolset setup.

AIAnthropic's Python and TypeScript SDKs now include built-in computer use and browser use toolsets for Claude. The SDKs run the agent loop and send actions to drivers, replacing the custom loop developers previously had to write to map clicks and keystrokes to commands.

AIPerplexity's Aravind Srinivas describes AI as the work operating system in a brief post. The post's background note says a thumbnail rail in Computer lets users jump to any slide, PDF page, or image.

AIA post from TestingCatalog says GPT-6 and Intelligent UI are rolling out to all ChatGPT users. Intelligent UI lets ChatGPT create an interactive experience to explain requested topics. The post also says GPT-6.1 does not appear to be available on ChatGPT yet.

AIMicrosoft is upgrading Copilot on Windows with Hybrid Intelligence, which lets it use context from the user's PC, take actions on the user's behalf, and run local models when appropriate. With the user's permission, the feature aims to add capability while stretching token usage further.

AIReplit says it builds and runs apps locally on Windows, with each build executing in its own sandbox powered by Microsoft Execution Containers and Nvidia OpenShell. The announcement was made on stage alongside Microsoft's Pavan Davuluri at 16:29.

AILocal sandboxing for GitHub Copilot is now generally available. It lets Copilot run commands in an isolated environment with controlled access to files, networks, system capabilities, and credentials. Enterprise teams can also centrally manage policies, and the feature is available in GitHub Copilot CLI, the GitHub Copilot app, and @code.

AIasking for a friend who only has access to cursor, not grok bot

AIOpenAI Developers highlighted a neighborhood bar simulation game built by @lizziepika, in which players run a COVID-conscious lesbian bar in western Massachusetts through a chaotic Saturday shift. The game was built with OpenAI's tools for a modretro chromatic game jam, and the developer shared her agent sessions via Entire.

AILauren Tan (@poteto) proposes "time to (fully automated, hands-off) rewrite" (TTR) as a rough thought-experiment heuristic for how well a codebase is set up for agents. She suggests asking how long a single engineer would need to rewrite the code in another language, framework, or architecture, since the answer surfaces gaps like missing verification that agents can use to confirm user-visible behavior matches. The post also raises questions about whether a rewrite would improve, maintain, or regress performance and maintainability over time.

AIAnthropic's Claude Haiku 5.5 is much faster and 75% cheaper than Haiku 4.5, which launched October 15, 2025, less than a year earlier. Anthropic describes it as a significant step up over Haiku 4.5 across coding, computer use, and knowledge work.

AIGoogle Research is presenting EnvHarness at the #COLM2026 Google booth (#107) at 2:00 PM today, with Zifeng Wang leading the session. EnvHarness is a plug-in architecture that dynamically reshapes environment behaviors to improve reinforcement learning and agent adaptability, addressing limits of static training setups for LLM agents.

AILangChain's deepagents now supports dynamically loading tools when a skill is loaded, so skills requiring specific tools no longer need those tools always available. With OpenAI and Anthropic models, this can be done without breaking the prompt cache.