#Agent

AIA Kyndryl survey of 2,000 senior IT decision-makers found only 10% are applying agentic AI as a modernization tool, and nearly half report being behind schedule with cost overruns. Researchers say agentic AI shows early promise for mapping hidden dependencies, generating code, and creating documentation, while Andy Thurai, a former IBM chief strategist, warns that AI-driven infrastructure sprawl could make compute costs unpredictable.

AIThe author argues that agents working across a company fail because they lack the decisions and context recorded in threads, meetings, and DMs, not because the model is weak. The approach stores distilled claims with source evidence and time, never overwrites facts, labels missing information explicitly, and resolves permissions before the model runs. The report cites results on LongMemEval, including 99.8% top-ten evidence recall and $8.24 ingestion cost, and says an open-weight model can match frontier extraction quality.

AIGoogle is launching a "universal" Gemini agent that works across apps and devices in the background, available in private preview to enterprise customers. Users can chat with it and assign tasks from the Gemini Enterprise app, and it works inside Gmail, Drive, Docs, Sheets, and Calendar as well as third-party apps like Slack and Microsoft 365. The source notes it runs in the cloud, keeps the same context across devices, and can use job-specific sub-agents.

AI…ComfyUI integrations plus local model support on up to 128 GB of unified memory. A complete creative stack that runs on your own machine.

AIGoogle has announced a single, universal Gemini agent for Gemini Enterprise as part of its Gemini at Work updates. The agent answers questions, handles knowledge work, creates images and media, and writes and runs code. It works inline in Gmail, Drive, Docs, Slides, Sheets, Chat, and Calendar, with new data and analytics skills for plain-language insights and industry-specific tools for financial services and legal teams.

AIA four-step setup guide walks Databricks admins, Replit org admins, and end users through going from zero to a governed production app in 15 minutes. Get started:

AITeamily AI now lets users add people and AI agents to the same group chat, so everyone works from shared context. The example shows a branding change handled by research, writing, and website-building agents, with a designer's feedback incorporated and the finished page shared in one continuous conversation. The platform's 2.0 release, which the post describes as opening to everyone, adds real-time human–agent collaboration and multi-model routing.

AIAI-native tools are removing the data bottleneck that long constrained CFOs, shifting the role toward designing the operating systems that turn data into decisions. Finance teams are adopting AI-native software for ERP, forecasting, procurement, and audit, and "finance engineers" are building custom automations and agents. OpenAI's CFO Sarah Friar describes finance moving toward a zero-day close and continuously updated forecasts.

AIGrok bot works great with foldable phones. Chat on the left, publish directly on the right.

AIMeta's Muse personal AI agent, launched on September 8, surpassed 2.5 million downloads in its first two weeks and topped free-app rankings on Apple and Google's US app stores. Its popularity has drawn attention to the emerging market for agent harnesses, where China's biggest internet companies are already competing for position. The excerpt does not provide full details on their specific products.

AIMeta's Muse and OpenAI's Dots are always-on AI agents with animated mascots, pitched to consumers and businesses for tasks like restaurant reservations and inbox triage. Muse is free, while Dots is not, and OpenAI also offers "specialist" Dots for marketing, legal work, and accounting. The discussion centers on privacy and security concerns about giving agents access to credit card details and email.

AIBefore I went to bed, I had Instinct create a massive prompt for Codex to execute the entire 19-item list and then email that prompt to me. Then I had Instinct write the prompt I gave to Codex to search my email and find the note Instinct left for it. 1/3

AIOpenRouter announces that StepFun's Step 5 Preview is live on its platform, priced at $1.00 per million input tokens and $2.70 per million output tokens. Cache hits are 50% off at launch, bringing them to $0.05 per million. A week of free access is rolling out across partners including opencode, Cline, Nous Research, and Kilo Code.

AI…StepCodeBench (49.0), and FrontierFinance (66.4).

AITheir new flagship for agentic work: a sparse MoE (27B active, 600B total), 1M context, and text, image, and video input. Strong at coding and professional knowledge work, especially finance. Try it:

AIReJev, an independent community project, applied LoRA post-training to OpenBMB's MiniCPM5-2B for bounded agent decisions: state, question, and candidate options yield one choice. On its sealed 1,892-sample holdout, accuracy rose from 51.11% to 80.50% (+29.39 percentage points) with 0% invalid outputs, at about $5.31 in cumulative Modal billing including earlier experimental overhead. The authors describe this as an early, task-specific result, not parity with Jev.

AIFrom @samnewman: "AI was supposed to free us from drudgery. It isn't for most software developers because we're doing more work, we've got more context switching going on."

AIDefenders can’t learn from what they can’t see. If you have traces and are being pressured to keep them private, my DMs are open. Let’s level the playing field and fight the asymmetry and lack of transparency in AI!

AITencent has added a new feature to its WorkBuddy: you can select files in different formats to open and preview them directly, plus AI chat for editing on the spot. For example, if I make a Markdown file, I can use AI to translate it directly, overwriting the original content.

AIStepFun's Step 5 Preview is now live on OpenRouter, with a week of free access rolling out across opencode, Cline, NousResearch, and Kilo Code. The company positions it as flagship-tier intelligence for agentic and professional work at substantially lower task cost, letting users keep their workflow while switching models.

AIZenity Labs researchers say a single publicly accessible agent on Amazon Bedrock AgentCore was enough to take over every AgentCore agent in the same AWS account and region. Using one chat prompt, the researchers got the agent to query the internal metadata service and send its AWS credentials to an external server, exposing private conversations, source code, and stored credentials. Zenity says AWS made IMDSv2 the default for new deployments and changed the default execution role around August.

AIReplit and Databricks integration, now generally available with native Lakebase support, lets enterprise teams build apps from plain-language prompts using Replit Agent and deploy them as Databricks Apps. Deployed apps inherit automatic user authentication and Unity Catalog access controls, and Replit Agent auto-provisions a managed Lakebase Postgres database for operational data. Lakebase keeps app-written data inside the Databricks perimeter instead of a separate external database.

AIStepFun has released Step 5 Preview, its flagship model for agentic work, built on a sparse Mixture-of-Experts architecture with 27B active and 600B total parameters. The source says it performs strongly in software engineering and professional tasks, but the feed supplied only an excerpt, so benchmark details are not available here.

AI…of true agents last fall Partially that is newness & partially research design challenges, but I suspect we are missing some large effects.

AIGoogle Cloud introduced Gemini agent, a unified AI assistant that acts autonomously, generates code, and completes work across web, mobile, desktop, and third-party apps. It runs jobs on models matched to each task, including Gemini Flash and a flagship frontier model, with Anthropic Claude models also available. Hard spend limits per project let companies enforce budgets and charge AI costs to departments.

AIGoogle Maps now lets users place restaurant orders through its Gemini-powered Ask Maps chat tool, with Square and Uber Eats joining Toast as partners. Google also released its first fan-favorite dining list, which tracks trending food and drink interest across 10 cities, including a 216% rise in cheeseburger interest in Tokyo over the past year.

AIJetBrains released Mellum2.1, a 12B mixture-of-experts model with 2.5B active parameters under the Apache 2.0 license, built for coding agents. Post-training shifted to reinforcement learning across thousands of environments and millions of sandboxed runs, and the model is available on Hugging Face. The source reports gains over Mellum2 on LiveCodeBench, AIME, GPQA Diamond, BFCL v4, IFEval, and SWE-bench Verified, and says it serves almost twice the tokens of Qwen3.5-9B under heavy load.

Why it matters: The post shows how reinforcement learning in real sandboxed environments changed a compact open model's repository work, with benchmark gains against Mellum2 and two peers.

AIGoogle Cloud announced the Gemini agent, a single agent that answers questions, handles knowledge work, creates media, and writes and runs code from one prompt box. It runs in the cloud with persistent memory, uses multi-agent orchestration, and adds Workspace integration, domain skills for data and industries, identity-based governance through Agent Gateway, and spend caps. The source also cites customer deployments and says nearly 80% of Google Cloud customers use its AI products.

Why it matters: The announcement shows how a single work agent spans chat, Workspace, data analysis, governance, and cost controls, useful for judging enterprise agent deployment scope.

AIThe author suggests installing a coding agent such as Pi or DeepSeek Harness in a cloud computer and allocating unused Code plan quota to it. Grok Bot could then use those tokens to write code and render videos, so leftover quota is not wasted.

AIBy the way, could Grok Bot's model already be Opus 5.5? It works remarkably well on complex tasks.

AITencent Cloud has open-sourced Octop, a self-hosted multi-agent AI assistant platform aimed at families and small teams, with multi-user accounts and data kept on the user's own machine. The full text describes it as a single Python process that bundles the backend, web dashboard, CLI, IM gateway, cron jobs, and multi-agent runtime, with state rebuilt from SQLite on restart.

AII am wondering if Antigravity will be a place where Google would consider adding its botsdots agents. Looks like a promotion, at least 🤖

AILangChain has added three engineering upgrades to Skills in its Deep Agents framework: tool-binding Skills, pinned Skills, and mid-thread reloading. Tool-binding lets a SKILL.md declare tools via metadata.include_tools, so tools are injected only when the Skill is read, and pinned Skills inject full instructions before the next model call, skipping a round trip. Setting skills_metadata to None rescans the Skills library mid-thread without restarting, at the cost of invalidating the cache.

AIMuse, Dots, or other agents with cloud computers can all be used.

AIThe author set up a Grok bot to produce a daily morning AI news video on a schedule, running content collection, code writing, and video rendering entirely on Grok's cloud virtual machine without local computers. The author says the results are quite good and shares the full prompt so others can run the same workflow with their own Grok bot.

AIAnthropic released Claude Haiku 5.5, its fastest and most affordable small model, at prices up to 90 percent lower for most prompts under 100,000 tokens. Artificial Analysis ranks it first among small-class models on its Intelligence Index with a score of 43, but it consumes about three times the output tokens per task that GPT-6 Luna needs at maximum effort.

AILenovo's YOGA Pro 15 RTX Spark laptop, powered by the NVIDIA RTX Spark N1X superchip, opened blind pre-orders on October 8 at 9:00. The machine offers up to 1 Petaflop FP4 local AI compute, up to 128GB unified memory and 2TB storage, and comes preloaded with a 35B local model.

AIWall Street is increasingly letting AI agents interpret market information, so a bad source or missing context can spread into real-world decisions before anyone detects the error. The source article does not identify specific models, products, or institutions.