Breaking: Anthropic just cut off Max plan access for third-party Claude tools like OpenClaw.
If you're a power user running agents across multiple subscriptions, this changes your math immediately.
A quick video reaction to what happened, why Anthropic did it, two stopgap options if you need to keep things running today, and why neither of them is a long term answer.
The free ride on subscription arbitrage is over.
Check out our blog post to read what comes next: https://t.co/cWCwKD7HQi
#openclaw #claude #anthropic #opensource
@karpathy People have been building crazy Obsidian brains. I personally index mine in all kinds of ways and one of the best use cases is drafting email/signal/telegram/slack messages. It actually has real context and information to intelligently respond and actually knows the way you think
Claude Code source leaks (again) and this time it's got a gacha-buddy system built in where every user deterministically (by user ID) gets a buddy. It gets a procedurally generated sprite and its own personality.
In the long, long ago, when you would run code you just wrote and it actually worked on the first attempt, you would be jubilant. That scenario will never happen again.
Now, I expect it should work on the first attempt.
14 of the 17 flights I've booked so far this year had delays. The only thing that has been saving the connections I haven't missed is the connecting flight being delayed as well. Suppose this is the new normal.
I know a lot of complaints in the AI world lately are about how poorly Opus, Codex, or some other model is performing in the moment, which can have a lot of variability. For some things, I'm sure it makes a big difference, but generally for software development, it really doesn't make much of a difference at all.
Whether people intuitively understand it or they have read research, it's a fact that a workflow outperforms one-shot model usage. The more robust your workflow, the less important the actual quality of an individual model working within it.
A really simple workflow might be build with Claude, and critique with Codex. Repeat.
Complex workflows are often created by individuals tailored for their own purposes and may involve sub-agents, a bunch of customized prompts, or a series of loops that check all steps of a PRD are completed and that the QA, Security, or any post-review agents say everything is good.
The more your trust your evals and and workflow, the less concerned you can be about the day-to-day performance of a model, and the less you have to be worried about model drift or how well your systems will perform when you change to new models. If your output is generally acceptable after it goes through your process, then you can optimize more for cost and speed.
I have open-sourced a project: Nexus. It's a project I've been working on to make AI proactive, not just responsive.
As a CEO, I juggle priorities and the real bottleneck was never just execution, it was judgment. I didn't want AI to wait for me to hand it tasks, but something that could understand my goals, identify and prioritize valuable work on its own, and act accordingly.
AI was already very much involved in my processes. Eventually, it reached the point where it could independently surface meaningful opportunities, propose work, execute it, and follow through. That's now Nexus:
https://t.co/vBdoZG26Zc
Essentially, any number of specialized agents continuously look for work they believe would be valuable based on overarching objectives. A commanding agent will evaluate those proposals against values, OKRs, and other strategic priorities, requesting revisions or additional review when needed before approving or rejecting them.
Once approved, work is routed to an executor, whether that’s Claude, Codex, Gemini, PermaShip, or another system. From there, Nexus can verify quality, assess outcomes, and determine whether follow-on work should happen next.
It has already handled a wide range of work for me: everything from smaller tasks like building and deploying a website with DNS and email, to large, complex multi-repo projects with staged feature releases. Over the past few months, it has been responsible for thousands of PRs. Since then, it has expanded far beyond software development alone.
I believe this could be quite useful to a lot of people.
Today we’re announcing that @NitraFinance has raised a combined $187 million in financing as we build the AI-native operating system for healthcare practices.
We're also announcing that Dr. Richard Park, founder of CityMD and healthcare legend, will be joining Nitra’s Board.
@levelsio This is exactly where software is heading. It goes against all my experience as a cybersecurity expert to have self-evolving code agents in production, but software is becoming something closer to that of an organism. Your next step will be moving away from Claude altogether.
You know what's eerie.. Software that builds and improves itself. Even if you've known for years it was coming, actually experiencing it is wild. I wake up every morning to updated software that's better and more powerful than yesterday. Scary and incredible.
If you're building software and you're obsessing over which model to use while you're vibe coding a dozen Claude Codes across 4 licenses, you probably need to take a step back for a minute and re-think your workflow.
Engineer productivity shouldn't be measured in "lines of code" or "tickets closed." It should be things like
- How many autonomous tasks can run in parallel
- How little human babysitting is required
- How quickly the system can improve itself
By 2030, AI is going to render most white-collar jobs obsolete. Software engineers, lawyers, accountants, and every occupation that's behind a computer will be on a catastrophic decline. Robots on a huge incline.
@IndexVentures There is an account @AdriaHua that is posing as one of your staff and trying to trick accounts into downloading malware under the guise of meeting with them. All the correspondence seems to be AI-automated.
@levelsio I agree that it's exciting. It's also terrifying. I think $2T SaaS industry gets completely annihilated along with hundreds of millions of human employees and replaced by AI systems. It's ridiculous how easy it is now as a single individual to build a powerful new technology.
Tinkering on an agentic system that modifies its own code to add functionality when required. Who else is working on this kind of stuff? How are you handling continuous deployment? Rollbacks? Figuring out when the code is ready for merge or requires a human to be looped in?
I just heard about https://t.co/5ekXzLI19X, the rideshare protocol, today. I'm not endorsing it as I don't know much about it yet, but I've been saying for many years now that the underlying tech for companies like Uber and Twilio needs to be turned into a protocol or
Maybe they price differently, or it's only for women, or it's Spanish-speakers, luxury vehicles only, or has USB charging available. The possibilities are quite wide for anyone who can find a competitive way to brand their app and enroll drivers and customers.