Slop is the default.
AI hands you bland, broken, generic unless you fight for better.
The fight isn't generating more.
It's making AI prove its work like a human would.
💡Recent insight: gaslighting @claudeai seems to improve code quality >90% of the time.
“You overengineered this, there is a simpler way”
“There is a smaller delta that buys us most of the benefits”
“There is a more elegant way”
“This is not architecturally coherent”
…before I even read its code. 😆
As we see companies make more while at the same time lay more people off, the temptation becomes to to do a redistribution of wealth.
Take what these companies are earning and redistribute it back to people as UBI.
The actual move is a redistribution of work.
All because your old job is dead doesn't mean that you're useless. You just need to find a new job.
Probably one that didn't even exist before.
Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.
Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.
@addyosmani I get these types of arguments but I also don’t lose sleep at night because I don’t understand how my program translates to machine code. We’re moving up the abstraction layers and at some point we’ll need to let go.
It's not even a question if my OC could do these types of automations.
I only ask myself how much could it do, how well can it do it and would it be worth it.
People freaking out over my AI spend. What nobody sees: Part of what excites me so much about working on OpenClaw is that I'm trying to answer the question:
How would we build software in the future if tokens don't matter?
We constant run ~100 codex in the cloud, reviewing every PR, every issue. If a fix on main lands, @clawsweeper will eventually find that 6 month old issue and close it with an exact reference.
We run codex on every commit to review for security issues (as it's far too easy to miss).
We run codex to de-duplicate issues and find clusters and send reports for the most pressing issues.
We have agents that can recreate complex setups, spin up ephemeral https://t.co/Q1NRXLemEy machines, log into e.g. Telegram, make a video and post before/after fix on the PR.
There's codex that watch new issues and - if it fits our documented vision well, automatically create a PR of it. (that then another codex reviews)
We have codex running that scans comments for spam and blocks people.
We have codex instances running that verify performance benchmarks and report regressions into Discord.
We have agents that listen on our meetings and proactively start work, e.g. create PRs when we discuss new features while we discuss them.
We build https://t.co/bmA1XnoB7P to split all our projects into functional units to review and find bugs and regresssions.
We do the same split for security with Vercel's deepsec and Codex Security to find regressions and vulnerabilities.
All that automation allows us to run this project extremely lean.
@mitchellh@yacineMTB There are probably plenty of time bombs waiting to go off, but I still can’t help wonder how far you can push a black box mentality right now. I’m cut to find out