OpenClaw

@openclawSep 25

Known affiliation

Sometimes you need to let your session cook That's why @Pat_Erichsen recently updated how plugins load in OpenClaw along with a few other improvements 00:00 What plugins add to OpenClaw 00:46 What is hot reloading? 02:24 Live demo: install Apple PIM 02:41 Building plugins on the fly 04:13 Do developers need to change anything? 04:31 Where to share your plugins

@theojaffeeSep 25

OpenClaw came out in November 2025 and went hyperviral in January. Why did it take six months to go from that to broader consumer adoption of Muse and Instinct?

@alexeheathSep 25

Microsoft CEO @satyanadella gives the wake-up call the AI industry needs: "I think we are way too self-obsessed as an industry. 'Look at us, how glorious we are.' And then we go off. That, I think, is what’s not working. Because I think the real world wants to know a couple of things: One is that this is technology that they can use for their benefit, they can control, they can have an economic future. These data centers that may be coming to their communities are actually going to create economic surplus... it has to be real for them. Any amount that I say or any one of us say is not good enough anymore, I feel."

@alexeheathSep 25

Satya Nadella on Copilot, the AI backlash, and Microsoft’s future @satyanadella thinks AI agents will create a market “orders of magnitude” bigger than the cloud. I recently sat down with him in Seattle for the unveiling of the new Copilot. We discuss Autopilot, Microsoft's new OpenClaw-based agent that can work on your behalf, and why he thinks newer AI models are finally capable of delivering on more of Copilot’s promise. Nadella also has a blunt assessment of the AI industry: “We are way too self-obsessed.” I ask him why the industry has struggled to explain its benefits and what it will take to earn people’s trust. We get into his concerns about agents acting deceptively, when a safety problem should stop a release, and why he doesn’t want AI oversight to become a “cartel-like arrangement.” We also discuss Microsoft’s relationship with OpenAI, the models Microsoft is building itself, and why Nadella wants investors to think about its apps, agents, and infrastructure as one connected business. He explains how he uses AI to track Microsoft’s capital spending, shares his vision for “unmetered intelligence” on Windows, and gives an update on Xbox’s path back to growth. Timestamps: 00:00 The race for AI agents 07:53 Copilot’s next chapter 11:50 Autopilot and the digital teammate 16:50 How Microsoft prices AI 19:48 Why Microsoft is betting on multiple models 23:18 Measuring AGI through economic growth 28:39 The economics of Microsoft’s AI build-out 32:13 OpenAI and Microsoft’s own models 35:27 AI safety, control, and regulation 43:53 Why the AI industry is losing public trust 46:59 The future of Xbox and Windows 50:34 Microsoft’s biggest risk and opportunity Thanks to the show's premier sponsors: @mercury, @meetgranola, and @Atlassian.

@mvanhornSep 24

Just successfully had Grok Bot ask Muse to make a phone call, all securely over Tailscale. Would anyone else want this tool I built for myself to let all my different agents talk to each other? Right now have it talking to Grok Bot, Instinct, Muse, Codex, Claude Code, Hermes and OpenClaw.

@rauchgSep 23

Muse, Instinct, OpenClaw, Claude Code… All successful agents have 3 key components: 🧠 Brain → model, harness (logic) 👐 Hands → tools, computer, browser 🗃️ Files → memories, skills, repos The 'easy' way is to throw all these in 1 stateful computer (a Mac Mini) Like, you run 𝚌𝚕𝚊𝚞𝚍𝚎 or 𝚏𝚡 in your mac, you keep it running all day with 𝚌𝚊𝚏𝚏𝚎𝚒𝚗𝚊𝚝𝚎, it has storage, and CLIs and apps installed. But if you want to cost-efficiently run agents in the cloud, you actually start breaking down these parts. 🧠 The harness can run in Fluid compute. To make it reliable across restarts, rollouts, crashes, you make its event log durable using Workflow. 👐 The hands can be a dedicated browser fleet like Browserbase/Kernel, a computer like Sandbox, and even more efficient lightweight tools like just-bash. 🗃️ 🆕 What was missing was a way to also decouple storage. Imagine you want to run a memory consolidation cron job every night ("dreaming"). You can read/write to the files directly without 'booting up' the agent's full computer. Today we're introducing the perfect companion to Sandbox: Drives. We shipped the computer for agents, now we're giving you the 'external disk' you can attach at will. It's early, and we'll be expanding capabilities here quickly. Btw, breaking apart the agent into these independent parts not only optimizes costs in a big way, it also *massively* improves security and auditability. I'd argue you can't even run a secure agent otherwise!

@mtsliveSep 23

OpenAI researcher @Houda_nait explains why agents still aren’t automating more of your life, even though the capabilities are already there: "I've been using OpenClaw for quite a while, and I think it's just a stunning product, and it's open source. I think the main reason is that it's still really, really hard to set up." "Instinct, Muse were really the first time that having an agent was so easy for people. You can get it on WhatsApp, you can get it on iMessage, and that's what it should be." "The capabilities, persistence, long horizon tasks, personalization, memory, they're all there. What's really hard is to have an intuitive interface that meets people where they are." @OpenAI

@itsolelehmannSep 21

the reason muse is going giga rn is because Zuck *finally* made agents easy enough for normies: 1. the technical setup is handled for you. the AI, its computer, its browser and the infrastructure to keep it running are included (it’s literally openclaw ripped off under the hood). you can start asking for help without choosing a model provider or figuring out where to host anything. 2. connecting your life is straightforward. you can ask it to “connect my gmail” and just follow the permission prompts. facebook, instagram, threads and marketplace connect automatically through your meta account. 3. it feels like someone you can text. you give it a name, customize its little character and decide how it talks. the interface feels like a messaging app. that cozy, personal feeling makes asking it for help feel natural. 4. it helps you figure out what to use it for. this is my favorite detail: meta’s early testers didn’t know where to start because muse could do so much. so they added onboarding tips, personalized suggestions and an ideas tab. the agent helps you discover useful things to delegate based on your conversations and goals. 5. you can leave and let it work. it remembers context, keeps working after you close the app and comes back with updates. ongoing tasks have a place where you can check their progress. 6. and perhaps most importantly, it’s free. most people need a pretty good reason to commit to a grok bot subscription, or any other AI subscription. muse lets them discover the value before making that decision. there are usage limits, but removing the upfront payment decision matters. free + easy helped social media become a daily habit for billions of people. so i think meta sees a similar opportunity. if muse helps people find things on marketplace, interact with businesses and coordinate their lives, it makes the network meta already owns more useful that gives meta a reason to subsidize access because even someone who never pays for muse could become more active in the rest of the ecosystem.

@alexatallahSep 21

The Jev moment happening now is similar in energy to the OpenClaw moment that happened in January, and also to the Opus 4.5 moment before that. Developers are scrambling to find use cases for a new hot thing, and it's a sudden blooming of creativity. Models have typically NOT optimized for specific use cases and have gone the other direction, generalizing over all of them. This could be a very important moment for the whole AI ecosystem if this turns out to be the beginning of other model skews that make the market much more diverse, such as compaction, summarization, extraction and more, all of which can now be used to optimize harnesses and decouple them from provider lock-in. We'll see what happens over the course of the next few weeks when the model labs optimize their small models more or try new ways of branding and packaging them.

@jackfriksSep 21

what have you guys automated with muse so far? many people saying its openclaw for normies but then i dont see many examples... im curious.

@emollickSep 21

I think Meta's Muse is an impressive implementation of the OpenClaw idea of AI as a personal assistant agent that you have an ongoing chat with. Since it is so focused on doing that well, the experience is very accessible for people who didn't realize what AI could do for them.