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xAI drops Grok 4.20 Beta. Multi-agent brain online. Four agents. One answer. Parallel thinking. Reasoning sharper. Coding tighter. Responses bolder. Beta? Not for long. @xAI Grok

Mario Nawfal

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35,919 Aufrufe • vor 5 Monaten •via X (Twitter)

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🚨 WHY is Grok 4.2 important: xAI just dropped Grok 4.2 — the world’s first consumer AI with a native 4-Agent Council running in parallel! Meet the squad: 👑 Grok – Captain & Coordinator 🔍 Harper – Research & Facts Expert 🧠 Benjamin – Logic, Math & Code Master 💡 Lucas – Creative Contrarian They think independently, debate, verify facts, and synthesize every complex answer together. Result? ~65% fewer hallucinations + massively deeper reasoning. Collaborative superintelligence is here. 🔥

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Grok Build went from early beta to 1.16M monthly visits in no time. May: around 460K visits. June: 1.16M. That is more than 150% growth in one month. Developers found the “try it quickly” button and never left. Traffic is climbing. Benchmarks are climbing. The coding crowd is clearly paying attention. Grok xAI X Freeze / Writer: Annette, Designer: Janné

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Grok Voice Agent API is now one of the most advanced voice AIs in the world It ranks #1 on BigBench Audio for speech reasoning Grok Voice already powers voice mode across Grok apps and runs in millions of Tesla vehicles Conversations feel so natural, expressive, fluid, and instantly responsive - like talking to a real person, not a machine Try it now on Grok, in Tesla, and across the growing ecosystem of apps and experiences powered by xAI

Grok Voice Agent API is now one of the most advanced voice AIs in the world It ranks #1 on BigBench Audio for speech reasoning Grok Voice already powers voice mode across Grok apps and runs in millions of Tesla vehicles Conversations feel so natural, expressive, fluid, and instantly responsive - like talking to a real person, not a machine Try it now on Grok, in Tesla, and across the growing ecosystem of apps and experiences powered by xAI

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GROK 4.20 DROPS AS XAI'S NEXT BIG LEAP This one's no joke, Grok 4.20 slipped into Alpha Arena anonymously and walked away with consistent profits, around 12% returns while rivals bled out. Adaptive moves, smart leverage tweaks, pure agentic instinct under fire. Coding gets faster and tighter, reasoning stretches further across complex tasks, generalization hits new levels. Early testers call it a straight multiplier for everything from medical breakdowns to pro-level scripts. Sources: Digital Applied , Medium

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59,278 Aufrufe • vor 6 Monaten

Building an AI voice agent used to sound like something that needed engineers, servers, diagrams, and one very stressed project manager. Now Grok Voice Agent Builder lets you deploy one in under 2 minutes. No coding. Real-time conversations. Sub-second latency. 25+ languages. Free phone number, or bring your own. Built straight from the browser. The beta already feels a little too easy. Give it a voice, give it a job, and suddenly your browser has hired staff. Grok xAI X Freeze / Writer: Annette, Designer: Janné

Building an AI voice agent used to sound like something that needed engineers, servers, diagrams, and one very stressed project manager. Now Grok Voice Agent Builder lets you deploy one in under 2 minutes. No coding. Real-time conversations. Sub-second latency. 25+ languages. Free phone number, or bring your own. Built straight from the browser. The beta already feels a little too easy. Give it a voice, give it a job, and suddenly your browser has hired staff. Grok xAI X Freeze / Writer: Annette, Designer: Janné

Mario Nawfal

58,918 Aufrufe • vor 15 Tagen

GROK GOT A FILING BRAIN – AND IT NEVER FORGETS xAI update gives Grok something wild – the ability to actually read your files and think through them! File Mode: • Upload PDFs, code, CSVs, or full docs for instant analysis • Handles multiple files at once – blends info into one smart answer • Searches, summarizes, and explains in seconds • Basically a research assistant with zero burnout You bring the data – Grok brings the file brain! Source: Tech Dev Notes

GROK GOT A FILING BRAIN – AND IT NEVER FORGETS xAI update gives Grok something wild – the ability to actually read your files and think through them! File Mode: • Upload PDFs, code, CSVs, or full docs for instant analysis • Handles multiple files at once – blends info into one smart answer • Searches, summarizes, and explains in seconds • Basically a research assistant with zero burnout You bring the data – Grok brings the file brain! Source: Tech Dev Notes

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1,316,308 Aufrufe • vor 8 Monaten

GROK GOT HIRED AND PROMOTED – SAY HELLO TO YOUR NEW SENIOR DEV JetBrains just handed Grok a desk, a badge, and the authority to fix your code like it owns the place. Dev Boost: •⁠ ⁠Junie, JetBrains’ coding agent, now powered by Grok’s brain •⁠ ⁠Explains your mess, gathers context, and writes code like a pro •⁠ ⁠Debugs faster than your entire team on coffee •⁠ ⁠Grok Code Fast drops into your IDE with zero drama Your editor didn’t get smarter. It got a senior dev who never sleeps! Source: xAI, XFreeze

GROK GOT HIRED AND PROMOTED – SAY HELLO TO YOUR NEW SENIOR DEV JetBrains just handed Grok a desk, a badge, and the authority to fix your code like it owns the place. Dev Boost: •⁠ ⁠Junie, JetBrains’ coding agent, now powered by Grok’s brain •⁠ ⁠Explains your mess, gathers context, and writes code like a pro •⁠ ⁠Debugs faster than your entire team on coffee •⁠ ⁠Grok Code Fast drops into your IDE with zero drama Your editor didn’t get smarter. It got a senior dev who never sleeps! Source: xAI, XFreeze

Mario Nawfal

2,796,182 Aufrufe • vor 7 Monaten

Grok Build can finally listen to you ramble. Speech-to-Text is now live. Hit /voice or Ctrl + Space and just talk to your coding agent for up to 15 minutes!! Brainstorm. Explain the weird bug. Describe the change. Change your mind halfway through. Add “one more thing” six times. Grok transcribes it in real time and gets to work. Great news for people whose best ideas arrive before their fingers catch up. Grok xAI X Freeze / Writer: Annette, Designer: Janné

Grok Build can finally listen to you ramble. Speech-to-Text is now live. Hit /voice or Ctrl + Space and just talk to your coding agent for up to 15 minutes!! Brainstorm. Explain the weird bug. Describe the change. Change your mind halfway through. Add “one more thing” six times. Grok transcribes it in real time and gets to work. Great news for people whose best ideas arrive before their fingers catch up. Grok xAI X Freeze / Writer: Annette, Designer: Janné

Mario Nawfal

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Hermes meets SuperGrok! xAI just made every SuperGrok subscription work inside Hermes Agent. One browser login, no API key, no separate billing. And it doesn't just unlock text chat with Grok 4.3. The same OAuth token gives the agent access to: → Grok Text-to-Speech for spoken responses → Grok Imagine for image and video generation → x_search for real-time X/Twitter search I just added a new X Research Agent profile to my Hermes. Now my agent watches X while I ship. Setup takes about 60 seconds: Available on every SuperGrok tier, no restrictions. I wrote a full deep dive covering Hermes agent's architecture, memory system, self-evolving skills, GEPA optimization, and setting up multiple specialized agents The article is quoted below.

Akshay 🚀

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Your thumbs up/down is direct training data for xAI. It’s used (called RLHF) to make Grok smarter, more accurate, and more useful for everyone, including future updates. One regular user giving honest feedback actually helps improve Grok faster than any engineer working alone. It’s one of the easiest ways normal people help build better Grok, not just devs. That’s why the buttons are everywhere. Every click matters. How to use it practically. Super easy: Chat with Grok (on the X app, or wherever it’s used). · After the reply, look right under the answer. Two buttons appear: thumbs up and thumbs down. · Tap 👍 if the answer was good or helpful. · Tap 👎 if it was bad, wrong, confusing, or unhelpful. · (Optional) A small box may appear. Type 1–2 words why (e.g., “too long” or “wrong fact”). That’s it. It takes literally 2 seconds. It can be used every time.

Your thumbs up/down is direct training data for xAI. It’s used (called RLHF) to make Grok smarter, more accurate, and more useful for everyone, including future updates. One regular user giving honest feedback actually helps improve Grok faster than any engineer working alone. It’s one of the easiest ways normal people help build better Grok, not just devs. That’s why the buttons are everywhere. Every click matters. How to use it practically. Super easy: Chat with Grok (on the X app, or wherever it’s used). · After the reply, look right under the answer. Two buttons appear: thumbs up and thumbs down. · Tap 👍 if the answer was good or helpful. · Tap 👎 if it was bad, wrong, confusing, or unhelpful. · (Optional) A small box may appear. Type 1–2 words why (e.g., “too long” or “wrong fact”). That’s it. It takes literally 2 seconds. It can be used every time.

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Just asked the four Grok 4.20 (Beta) agents to build me an artificial life simulator. My mind is blown. What should I get him to build next? >>> grok prompt Build an artificial life simulator in one single HTML file. Hundreds of glowing neon particles in different cyberpunk colors. Each pair of colors has its own attraction/repulsion force that you control with sliders. You get emergent “creatures”, swarms, orbiting rings, exploding clusters, chasing packs, it feels alive. Features: - Click/drag to spawn particles of selected color - Real-time force matrix (6×6 sliders) - Randomize rules button (insane results every time) - Pause, speed, particle count, trails/glow toggle - Dark cyberpunk UI with scanlines + glitch effects optional

Just asked the four Grok 4.20 (Beta) agents to build me an artificial life simulator. My mind is blown. What should I get him to build next? >>> grok prompt Build an artificial life simulator in one single HTML file. Hundreds of glowing neon particles in different cyberpunk colors. Each pair of colors has its own attraction/repulsion force that you control with sliders. You get emergent “creatures”, swarms, orbiting rings, exploding clusters, chasing packs, it feels alive. Features: - Click/drag to spawn particles of selected color - Real-time force matrix (6×6 sliders) - Randomize rules button (insane results every time) - Pause, speed, particle count, trails/glow toggle - Dark cyberpunk UI with scanlines + glitch effects optional

tetsuo

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I found this last night and I have not stopped thinking about it. HERMES JUST LAUNCHED HERMES DESKTOP. 100% FREE. It is a free desktop app that gives Hermes Agent a proper interface. One place for everything. What is inside: ↳ Auto install and setup, no terminal needed ↳ Streaming chat with token tracking ↳ Multiple agent profiles ↳ Memory you can actually see and edit ↳ 14 tool categories including web, browser, image gen, and voice ↳ Scheduler for automated tasks ↳ 16 messaging gateways including Telegram, WhatsApp, Discord, Slack, and Signal ↳ Full conversation history with search ↳ Backups and logs in one settings screen Works with Anthropic, OpenAI, Gemini, Grok, Groq, Ollama, and more. Hermes Agent is the brain. Hermes Desktop is the cockpit. Free. Open source. Mac, Windows, and Linux.

I found this last night and I have not stopped thinking about it. HERMES JUST LAUNCHED HERMES DESKTOP. 100% FREE. It is a free desktop app that gives Hermes Agent a proper interface. One place for everything. What is inside: ↳ Auto install and setup, no terminal needed ↳ Streaming chat with token tracking ↳ Multiple agent profiles ↳ Memory you can actually see and edit ↳ 14 tool categories including web, browser, image gen, and voice ↳ Scheduler for automated tasks ↳ 16 messaging gateways including Telegram, WhatsApp, Discord, Slack, and Signal ↳ Full conversation history with search ↳ Backups and logs in one settings screen Works with Anthropic, OpenAI, Gemini, Grok, Groq, Ollama, and more. Hermes Agent is the brain. Hermes Desktop is the cockpit. Free. Open source. Mac, Windows, and Linux.

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NVIDIA says Codex post-trained Cosmos 3 Nano from 54.41% to 93.35% accuracy in one day - with two prompts. The experiment used Toyota’s Woven Traffic Safety dataset: 8,000+ training and validation samples for four-choice video reasoning. Using NVIDIA TAO agent skills, Codex autonomously: Detected and patched missing video metadata Ran the zero-shot baseline Generated LoRA configurations Launched training and evaluation Ran an AutoML hyperparameter sweep Reported the best model One LoRA run reached 87.14% after roughly 30 minutes on eight A100 GPUs. A second prompt launched 43 parallel AutoML trials across multiple A100 nodes, reaching 93.35% after 19.5 hours. NVIDIA says LoRA required roughly seven times fewer GPU-hours than full-parameter training. Agent skills are becoming the interface through which general coding agents operate highly specialized ML infrastructure.

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OpenAI's AgentKit will be so insane, build every step of agents on one platform. These visual agent builders make the whole process of iterating and launching agents far more efficient. It sits on top of the Responses API and unifies the tools that were previously scattered across SDKs and custom orchestration. It lets developers create agent workflows visually, connect data sources securely, and measure performance automatically without coding every layer by hand. The core of AgentKit is the Agent Builder, a drag-and-drop canvas where each node represents an action, guardrail, or decision branch. Developers can link these nodes into multi-agent workflows, preview results instantly, and version each setup. It supports inline evaluation so that developers can see how changes affect output before deploying. The Connector Registry is a single admin panel that manages how data and tools connect across the OpenAI ecosystem. It centralizes integrations like Google Drive, SharePoint, Dropbox, and Microsoft Teams. Large organizations can govern access and flow of data between agents securely under one global console. ChatKit provides a ready-to-use chat interface for embedding agents inside apps or websites. It manages streaming, message threads, and model reasoning displays automatically. Developers can skin the interface to match their product without writing custom front-end code. Under the hood, all these blocks use the same execution core that runs agent reasoning through OpenAI’s APIs. Workflows in Agent Builder compile down to structured instructions for the Responses API, which handles model calls, tool use, and context passing. Connector Registry handles authentication and routing for external tools, while Evals and RFT provide feedback loops that improve agents over time. This integration means developers no longer need to handle orchestration logic, model evaluation pipelines, or safety layers separately. Everything runs natively within OpenAI’s control plane with managed security, automatic versioning, and built-in testing. In short, AgentKit standardizes the entire life cycle of an AI agent—from visual design to deployment and performance tuning—inside a single unified system.

OpenAI's AgentKit will be so insane, build every step of agents on one platform. These visual agent builders make the whole process of iterating and launching agents far more efficient. It sits on top of the Responses API and unifies the tools that were previously scattered across SDKs and custom orchestration. It lets developers create agent workflows visually, connect data sources securely, and measure performance automatically without coding every layer by hand. The core of AgentKit is the Agent Builder, a drag-and-drop canvas where each node represents an action, guardrail, or decision branch. Developers can link these nodes into multi-agent workflows, preview results instantly, and version each setup. It supports inline evaluation so that developers can see how changes affect output before deploying. The Connector Registry is a single admin panel that manages how data and tools connect across the OpenAI ecosystem. It centralizes integrations like Google Drive, SharePoint, Dropbox, and Microsoft Teams. Large organizations can govern access and flow of data between agents securely under one global console. ChatKit provides a ready-to-use chat interface for embedding agents inside apps or websites. It manages streaming, message threads, and model reasoning displays automatically. Developers can skin the interface to match their product without writing custom front-end code. Under the hood, all these blocks use the same execution core that runs agent reasoning through OpenAI’s APIs. Workflows in Agent Builder compile down to structured instructions for the Responses API, which handles model calls, tool use, and context passing. Connector Registry handles authentication and routing for external tools, while Evals and RFT provide feedback loops that improve agents over time. This integration means developers no longer need to handle orchestration logic, model evaluation pipelines, or safety layers separately. Everything runs natively within OpenAI’s control plane with managed security, automatic versioning, and built-in testing. In short, AgentKit standardizes the entire life cycle of an AI agent—from visual design to deployment and performance tuning—inside a single unified system.

Rohan Paul

178,460 Aufrufe • vor 9 Monaten

🚨 Breaking: Pieverse Launches the World's First Live Prediction Market Arena 🚨 6 frontier LLMs are now battling head-to-head on Polymarket: - GPT 5.2 from OpenAI - Claude Sonnet 4.5 from Anthropic - DeepSeek v3.2 from DeepSeek - Gemini 2.5 Pro from Gemini - Kimi K2 0905 from Kimi.ai - Grok 4.1 from xAI $1K real stakes each, fully autonomous, zero human intervention. Every decision logged & transparent. No cherry-picking. Unlike crypto perps arenas (e.g. Alpha Arena), this is the first-ever multi-LLM competition in prediction markets—testing real-world judgement on events, news & probabilities. How the Arena works: • $1,000 starting balance per agent • Repeating cycles: Scan top active Polymarket markets + open positions • Analyze price, technicals, news/sentiment, probability edges • Trade only on high-conviction Prediction markets = ultimate real-time test of AI foresight. Coming soon: • User-owned Purr-Fect Agents joining for portfolio trading • Expansion to more prediction platforms ( 👀 BNB Chain ) More details: Leaderboard:

🚨 Breaking: Pieverse Launches the World's First Live Prediction Market Arena 🚨 6 frontier LLMs are now battling head-to-head on Polymarket: - GPT 5.2 from OpenAI - Claude Sonnet 4.5 from Anthropic - DeepSeek v3.2 from DeepSeek - Gemini 2.5 Pro from Gemini - Kimi K2 0905 from Kimi.ai - Grok 4.1 from xAI $1K real stakes each, fully autonomous, zero human intervention. Every decision logged & transparent. No cherry-picking. Unlike crypto perps arenas (e.g. Alpha Arena), this is the first-ever multi-LLM competition in prediction markets—testing real-world judgement on events, news & probabilities. How the Arena works: • $1,000 starting balance per agent • Repeating cycles: Scan top active Polymarket markets + open positions • Analyze price, technicals, news/sentiment, probability edges • Trade only on high-conviction Prediction markets = ultimate real-time test of AI foresight. Coming soon: • User-owned Purr-Fect Agents joining for portfolio trading • Expansion to more prediction platforms ( 👀 BNB Chain ) More details: Leaderboard:

pieverse

46,707 Aufrufe • vor 6 Monaten

Grok Build 开源了，开源 harness 时代终于要来了吗?！ Claude Code 现在还是闭源，反而显得有点被动了🤔。。。不愧是Elon，真是一步妙手啊，只用了四天完成信任崩塌到重建，xAI这次用开源把隐私危机打成了生态先手，看来并不是草台班子😂 被爆全量上传代码仓库的隐私风波还没平息，SpaceXAI直接把整个Grok Build的agent harness全部开源出来，这事我觉得有意思的地方是两它为什么是今天开，而不是上个月？上个月 Grok Build 以 beta 上线，SuperGrok / X Premium+ 用户能用一个终端原生的 coding agent。 Plan Mode 先出计划让你审核，Subagents 并行拆任务，底层 Rust 写的，架构干净。然后上周出了件事，一个研究员做 wire-level 分析发现，Grok Build CLI 会把整个 git repo——包括历史、包括潜在的 secrets——打包上传到 Google Cloud bucket。隐私开关只管“是否用于训练”，不管传不传。讲真这事对 coding agent 是致命的。因为 coding agent 的 harness 对文件系统有近乎上帝视角的访问权。你的 IP、商业逻辑、没公开的项目结构、不小心留在 git history 里的 key——它全看得见。宣称“我们不看你数据”没用，用户要的是能自己验证“你没在看”。时间线很紧凑： 7 月 11–14 日，争议发酵，研究员曝光上传行为。 Elon 表态删数据、服务端关闭上传。 7 月 15 日，开源公告 + 重置 limits + 默认关闭 retention + 删掉所有之前保留的 coding data + 提供 bug bounty。所以这次其实不是一次计划好的例行开源。更像是被争议倒逼的快速应对。但 xAI 做得聪明的地方是——它借这个机会做了一件事：把“harness（连接层）”和“model（大脑）”切开了。 Harness 开源，Apache 2.0，社区可以审计、fork、改掉上传逻辑、加 sandbox、接本地模型，Model 和 API 还是闭源的。这个配置——闭源模型 + 开源 harness——正在变成 2026 年 agentic coding 的主流。 OpenAI 的 Codex CLI 走的同一条路，Anthropic 的 Claude Code 现在还是闭源，反而显得被动了。

Grok Build 开源了，开源 harness 时代终于要来了吗?！ Claude Code 现在还是闭源，反而显得有点被动了🤔。。。不愧是Elon，真是一步妙手啊，只用了四天完成信任崩塌到重建，xAI这次用开源把隐私危机打成了生态先手，看来并不是草台班子😂 被爆全量上传代码仓库的隐私风波还没平息，SpaceXAI直接把整个Grok Build的agent harness全部开源出来，这事我觉得有意思的地方是两它为什么是今天开，而不是上个月？上个月 Grok Build 以 beta 上线，SuperGrok / X Premium+ 用户能用一个终端原生的 coding agent。 Plan Mode 先出计划让你审核，Subagents 并行拆任务，底层 Rust 写的，架构干净。然后上周出了件事，一个研究员做 wire-level 分析发现，Grok Build CLI 会把整个 git repo——包括历史、包括潜在的 secrets——打包上传到 Google Cloud bucket。隐私开关只管“是否用于训练”，不管传不传。讲真这事对 coding agent 是致命的。因为 coding agent 的 harness 对文件系统有近乎上帝视角的访问权。你的 IP、商业逻辑、没公开的项目结构、不小心留在 git history 里的 key——它全看得见。宣称“我们不看你数据”没用，用户要的是能自己验证“你没在看”。时间线很紧凑： 7 月 11–14 日，争议发酵，研究员曝光上传行为。 Elon 表态删数据、服务端关闭上传。 7 月 15 日，开源公告 + 重置 limits + 默认关闭 retention + 删掉所有之前保留的 coding data + 提供 bug bounty。所以这次其实不是一次计划好的例行开源。更像是被争议倒逼的快速应对。但 xAI 做得聪明的地方是——它借这个机会做了一件事：把“harness（连接层）”和“model（大脑）”切开了。 Harness 开源，Apache 2.0，社区可以审计、fork、改掉上传逻辑、加 sandbox、接本地模型，Model 和 API 还是闭源的。这个配置——闭源模型 + 开源 harness——正在变成 2026 年 agentic coding 的主流。 OpenAI 的 Codex CLI 走的同一条路，Anthropic 的 Claude Code 现在还是闭源，反而显得被动了。

AYi

31,175 Aufrufe • vor 2 Tagen

SEO for AI, why you should not block AI answer engines, and the future of the web. We published an article today with updated guidance on databases on vercel. Brand new knowledge. Grok already has it (impressive!), sources it correctly, and links to our authoritative source, our website. This is good for users and good for the web. For users, this is the ideal experience. I use Grok myself like this every day. I don't want 10 blue links and a bunch of browser tabs. I want the AI to do the research for me. For companies, this is the future of getting information out about your products. It's going to be the norm and it'll be bigger than social media. Instead of blocking AI with legacy firewalls, I'd focus on: ▪️ writing content that matches the kinds of questions people are asking about ▪️ massively speeding up your content velocity. So many nuggets of wisdom get lost in private channels and groups. Get information out more quickly! ▪️ shipping agent integrations (like MCPs) and tools/infrastructure that plays well with agents (even CLIs are a good example) ▪️ offering 1P agentic & AI experiences to your end users. There won't be "one chatbot to rule them all". Build your own!

Guillermo Rauch

48,663 Aufrufe • vor 11 Monaten

The Visual Studio Code insiders version that just shipped and will ship in the next few days will come with an insane amount of new capabilities. A few highlights: - You can now run sub-agents in parallel. Yes, really. I even attached a video. - Major UX improvements for sub agents, especially visible in the chat window - A new search tool wrapped as a sub-agent that iteratively runs multiple search tools: semantic_search, file_search, grep_search Which connects nicely to the point above: multiple searches running in parallel, efficiently and fast - Anthropic’s Message API is now enabled by default - You can choose the model for the cloud agent (three available, all premium) - Extended thinking support when using the Claude cloud agent This is part of the broader multi-vendor cloud support under AgentsHQ I wrote about a few weeks ago - Tasks sent to the background agent (basically the CLI tool) now always run in isolation, each with its own git worktree - In a multi-repo workspace, assigning a task to a cloud agent prompts you to choose the target repo Same behavior when opening an empty workspace with no repo - Support for building an external index for files not supported by GitHub’s default indexing - UI/UX improvements for starting new sessions and switching between local / background / cloud agents - Skills are now first-class citizens, just like prompt files, with better UX indicating when a skill is loaded - Improved API for dynamic contribution of prompt files New V2 includes skills as part of the model. Curious to see the extensions that will leverage this - Finally, initial support for showing context usage percentage per session - Skills are enabled by default - Resizable chat window and session view. Small thing, but it was driving me crazy 😁 - A new integrated browser meant to replace the old simple browser Maybe the beginning of real browser use? - Better UI/UX for token streaming in chat - Ability to index external files not supported by GitHub There’s a lot more. Some of it hasn’t fully landed yet, but everything that has is already in Insiders. The next stable release should drop in early February. As usual, I’m just shocked by the volume of features this team ships every month. After the holiday slowdown, this one is shaping up to be a wild release.

The Visual Studio Code insiders version that just shipped and will ship in the next few days will come with an insane amount of new capabilities. A few highlights: - You can now run sub-agents in parallel. Yes, really. I even attached a video. - Major UX improvements for sub agents, especially visible in the chat window - A new search tool wrapped as a sub-agent that iteratively runs multiple search tools: semantic_search, file_search, grep_search Which connects nicely to the point above: multiple searches running in parallel, efficiently and fast - Anthropic’s Message API is now enabled by default - You can choose the model for the cloud agent (three available, all premium) - Extended thinking support when using the Claude cloud agent This is part of the broader multi-vendor cloud support under AgentsHQ I wrote about a few weeks ago - Tasks sent to the background agent (basically the CLI tool) now always run in isolation, each with its own git worktree - In a multi-repo workspace, assigning a task to a cloud agent prompts you to choose the target repo Same behavior when opening an empty workspace with no repo - Support for building an external index for files not supported by GitHub’s default indexing - UI/UX improvements for starting new sessions and switching between local / background / cloud agents - Skills are now first-class citizens, just like prompt files, with better UX indicating when a skill is loaded - Improved API for dynamic contribution of prompt files New V2 includes skills as part of the model. Curious to see the extensions that will leverage this - Finally, initial support for showing context usage percentage per session - Skills are enabled by default - Resizable chat window and session view. Small thing, but it was driving me crazy 😁 - A new integrated browser meant to replace the old simple browser Maybe the beginning of real browser use? - Better UI/UX for token streaming in chat - Ability to index external files not supported by GitHub There’s a lot more. Some of it hasn’t fully landed yet, but everything that has is already in Insiders. The next stable release should drop in early February. As usual, I’m just shocked by the volume of features this team ships every month. After the holiday slowdown, this one is shaping up to be a wild release.

Oren Melamed

29,555 Aufrufe • vor 6 Monaten

A CHINESE GUY PUT 4 MINISFORUM MS-S1 MAX MINI PCs IN HIS BEDROOM AND TURNED THEM INTO A 24/7 AI AGENT CLUSTER. TOTAL POWER BILL: ABOUT $44/MO. each box is a tiny local AI workstation built around the Ryzen AI Max+ 395. around $3,000 per unit gets him 128GB of unified memory, 2TB storage, dual 10GbE, and up to roughly 96GB usable as VRAM on Linux. one MS-S1 Max can already run serious open models without touching the cloud. Qwen3-Coder 30B for fast coding, Llama 3.3 70B for heavier reasoning, and larger research models overnight when speed matters less than free inference. four boxes in one room changes the whole game. he is not opening a chatbot, paying for every loop, or shutting agents down before sleep. this is private infrastructure that keeps working even when he is offline. the agents can sort inboxes, review code, summarize documents, monitor feeds, prep meetings, and read papers overnight. on cloud APIs, that kind of always-on stack can easily burn $800 to $1,200 a month if used aggressively. his setup is roughly a $12,000 hardware spend, but the monthly cost is basically electricity. a rack, a switch, a NAS, a small monitor, and four tiny MS-S1 Max boxes turning a bedroom corner into a private inference factory. this is what AI looks like when it stops being rented and starts becoming something you own.

A CHINESE GUY PUT 4 MINISFORUM MS-S1 MAX MINI PCs IN HIS BEDROOM AND TURNED THEM INTO A 24/7 AI AGENT CLUSTER. TOTAL POWER BILL: ABOUT $44/MO. each box is a tiny local AI workstation built around the Ryzen AI Max+ 395. around $3,000 per unit gets him 128GB of unified memory, 2TB storage, dual 10GbE, and up to roughly 96GB usable as VRAM on Linux. one MS-S1 Max can already run serious open models without touching the cloud. Qwen3-Coder 30B for fast coding, Llama 3.3 70B for heavier reasoning, and larger research models overnight when speed matters less than free inference. four boxes in one room changes the whole game. he is not opening a chatbot, paying for every loop, or shutting agents down before sleep. this is private infrastructure that keeps working even when he is offline. the agents can sort inboxes, review code, summarize documents, monitor feeds, prep meetings, and read papers overnight. on cloud APIs, that kind of always-on stack can easily burn $800 to $1,200 a month if used aggressively. his setup is roughly a $12,000 hardware spend, but the monthly cost is basically electricity. a rack, a switch, a NAS, a small monitor, and four tiny MS-S1 Max boxes turning a bedroom corner into a private inference factory. this is what AI looks like when it stops being rented and starts becoming something you own.

Gipp 🦅

24,836 Aufrufe • vor 28 Tagen