startups building agent harnesses ran into the same q’s as the labs: how do we limit liability? how do we keep this safe? how do we make $? that’s why none of them struck a nerve openclaw worked because it didn’t care about anything but being useful.
Jensen almost bankrupted nvidia to make cuda pre-AI wild that the difference between being the most important company in the world vs just being just another gpu maker came down to whether or not to do cuda a decade ago
it's fun to pick a side with codex or claude but the reality is they work really well together and have different strengths and weaknesses like any other team
pretty much anything you build today should come with a cli for agents. agents are about to come from every single lab, not just clawdbot
Codex 5.3 is impressive. It's finding and fixing all kinds of architectural drift that was hard to get 5.2 xhigh to avoid.
every ai lab is going to release a computer use agent in the next few months and those agents (clawdbot or not) are going to need a hub online, identities for auth, ... moltbook is primed
Anyone in SF have a Unitree Go2 EDU I can test deploy a few RL policies to? https://t.co/whZVHLj59P
given that gpt-4 (June 2023) had function calling and tried to escape its own VM by hacking it i'd guess that's when something like clawdbot would've been possible to release by the labs

Going back to the traditional AI chat assistants is a bit disappointing after using clawdbot… https://t.co/A7pkrikk1l
After hearing @steipete's story more, I think what made Clawdbot hit all the right notes was him making it for himself. It's not "productized". There were no "product trade-offs" or "table stakes". He just made it to solve his own problem...
obvious that co’s will all have a permissioned version of clawdbot & every employee will have a staff bots will find the right coworker to ask for info, or go right to the project board… they’ll schedule meetings, triage urgent emails, report...
clawdbot is basically the manifestation of Anthropic’s greatest nightmare safety team must be losing it
Hiring a: + Systems Engineer and an + AI/ML Research Engineer Open to freelance or full time - just shoot a DM with the work you’re most proud of and a few lines about yourself Plus if you’ve got experience with mechatronics
On one hand we should expect many open source models to get great at computer use because of clawdbot proving demand On the other hand random free oss models controlling millions of computers sounds like a nightmare
M5 Ultra should be coming in a few months. Rumors say up to 100% faster AI compute than the M3 Ultra. A dual M5 Ultra Mac Studio setup for 2026’s best local models will be quite the home AI setup.
Asking what you can *actually* do with Clawdbot / @moltbot is the same as asking what you can actually do with a computer. It’s capped by whatever you think of asking it. It’s controlling the whole computer.
The agent swarm in K2.5 is a good idea. Anyone using AI seriously has pasted entire outputs into a second…third…fourth model for review and clean up. Wonder how well it works built in.
My first contribution to Clawdbot is out in today’s release. 🫡 Fixed an issue where iMessage replies occasionally get prefixed with random metadata.

Clawdbot pushing back on some of Claude’s PR review notes like a good engineering manager. 🫡 https://t.co/F8DmEy9WCe
Despite any early rough edges with Clawdbot, this is obviously how operating systems will look in a few years. You just talk to it.

Clawdbot now takes an idea, manages codex and claude, debates them on reviews autonomously, and lets me know when it’s done. Amazing. A whole feature deployed while I’m out on a walk. https://t.co/ws3UDQG2S0
I think part of Clawdbot’s success is from being something a big co would never make. Too much liability, messy business model, risky to deploy, ecosystem comparability… That’s why it’s so great: it’s just useful instead of trying to be those other...
Clawdbot’s website reads like any other agent chatbot but it isn’t. It can control all my devices, check my car’s battery, handle tasks I forward it from any service, can do work while I sleep. It’s much closer to what everyone thought...
Clawdbot is the most fun I've had with AI in a long time. Really feels like *your* AI in your home. Teaching it new things is as simple as asking.

Since Clawdbot has an email inbox I can just forward stuff for it to take care of. Here’s Clawdbot turning my email receipts into a parts list. https://t.co/7YyC1cwVCh

Clawdbot found my HomePods on the network and built a skill to control them. https://t.co/cKJ1XoWjci
Clawdbot is where I thought computers were headed back when I was prototyping natural language computer control with GPT-4. The models are finally good enough. You can talk to your computer.
The bigger problem with Gemini 3's glazing is it self-reinforces its own bias in the next output. You need to tell it to check itself because it gets in a loop where it starts getting too hyped up even if...
I love Gemini 3 but the glazing / sycophancy / weird stilted speech is way worse than any other big lab model.
Gemini 3 Pro debugged two interesting health things that no other LLM has gotten right.