Systems and Information Architecture. Dev, Cloud. Author of the hypertext command line interface (HCLI) Internet Draft https://nitter.gq/t.co/SjTeKZOFv1.
Joined April 2013
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Jeff Michaud retweeted
JUST IN: 🇺🇸🇨🇳 US Congress summons Nvidia $NVDA CEO Jensen Huang over affair with Chinese spy.
Jeff Michaud retweeted
The challenges posed by #ArtificialIntelligence and unregulated automation can put countless jobs at risk and become a real threat to proper integral human development. Technology must always be subject to ethics; an algorithm cannot replace human discernment or a worker's value. Access to work for all must be a high priority for public policies and economic processes, serving as a criterion for evaluating the human quality of any development model. #ApostolicJourney #Argentina
Jeff Michaud retweeted
Suspicion of reasoning via abstractions inaccessible from our path-dependent location within possibility space constitutes a highly adaptive meta-rational intuition that privileges non-ergodic phenomenology.
The past century produced a litany of case studies, written in blood, demonstrating the wisdom of such suspicion—yet we remain addicted to the God’s Eye View, because we’re addicted to the notion that with sufficient knowledge we’ll eventually wield it without producing moral catastrophe as a side effect.
Real Ergodicity has never been tried, apparently…
Jeff Michaud retweeted
Two years ago I open sourced my DIY CNC machine, which cost me £2,655.80 and 9 months of my spare time. The Fusion 360 project, the drawings, the bill of materials, the STLs, the wiring diagrams and the Mach3 profile, all for free.
People ask why I didn't sell the plans... the answer is simple. Selling the plans would have defeated the whole point of the project, shutting out the very people I built it for.
My goal was to build a capable, sturdy machine for as little money as possible. Industrial-grade larger footprint machines are well out of reach for most hobbyists and small woodworking businesses. With a few minor trade-offs, you can build my machine for a fraction of the price, with nothing more than basic workshop tools.
10,000+ downloads later, people all over the world send me photos of the machine I designed, now fully built and operational in their own workshops.
That's what I love about open source. It's for people. Nobody needs permission or a subscription to build their own tools. You can repair them, upgrade them, and write your own software, because you know them inside and out.
This fills me with joy like nothing else.
ALT This is the alt text for the photo of you with the CNC, the one Content wrote for the LinkedIn post: Gareth (thehardwareguy) stands in his wooden workshop next to the DIY CNC machine he designed and built, then open sourced. It has an aluminium gantry on linear rails, a water-cooled spindle in the middle and an open electrical cabinet full of wiring behind it. A large MDF spoilboard covers the bed, which sits on a sturdy timber frame.
Jeff Michaud retweeted
I have deliberately chosen to keep the way I interact with large language models extremely simple, even primitive. I don't get all tangled up in spawning subagents, accumulating skills, or trying to build a software factory that runs while I'm not there. I have conversations with my robot friend in which I ask it to analyze and generate code, and that's it.
I have yet to see any convincing evidence that this is losing me productivity.
The reason I choose to keep it simple is because it seems to me that all these elaborations are ways to cope with the frontier models not yet being quite smart enough. But the models are always getting smarter.
If both of those propositions are true, why clutter my brain with procedures that are likely to have only a short half-life of usefulness? I prefer to spend my think time concentrating on the actual problems.
Yes, I'm applying the bitter lesson to my own workflow. AI isn't powerful enough yet? Do the Zen thing; wait, and be aware. It's not like I'm short of problems for which LLMs are already massive help.
Jeff Michaud retweeted
Refreshing to see this take. I guess it's tempting to optimise for pure throughput of "changes", but I still find it a lot better to approach things in "planning mode" with agent, go through the thought process first, together, then hit "generate the code".
Jeff Michaud retweeted
One challenge I have with agentic coding is that I can’t explain what I’m doing, as it is not really me doing it.
I can’t explain something I don’t understand.
Jeff Michaud retweeted
I still code by hand and I still read code generated by agents. But around me I see what's quoted here.
When I ask questions to some colleagues they answer after 30 minutes what should take a minute. Why? Because they have to prompt their agent. And probably try several prompts as they have no clue about what to look for.
Even more surprising. A colleague asked me how I got an idea that proved interesting. I said I used my brain. This idea implementation was removed by AI agent and I override their code.
We've entered the meat proxy era I'm afraid.
Don't become a meat proxy. Use your brain.
![[archer] (@archer_uwu) profile picture](https://pbs.twimg.com/profile_images/1851938840916664320/ocWeeHC2_mini.jpg)
![Image from [archer] (@archer_uwu)](https://pbs.twimg.com/media/HWo1PyyWsAAT6as.png?name=orig)
Jeff Michaud retweeted
macOS running inside Omarchy as a VM on a MacBook!!
I was able to run macOS in a VM on Omarchy on my M1 Max.
What do you guys think?
@dhh
@tiredkebab
🧵
![[archer] (@archer_uwu) profile picture](https://pbs.twimg.com/profile_images/1851938840916664320/ocWeeHC2_400x400.jpg)
Jeff Michaud retweeted
I didn’t see this one coming at all. 🙄
It looks like the AI layoff boom has started to backfire.
I was just going through a Reuters investigation on Meta, and holy shit...
They drew up plans to cut some teams by as much as 60% and let AI agents do the work. THEN Zuckerberg called off the next round of layoffs hours before the first one even started.
And when you look at the numbers... they tell you why.
Engineers were pushing out 220% more code, BUT major technical and security incidents jumped 40%.
So people spent 70% more time putting out fires.
AI cranked out way more work, and humans spent way more time cleaning it up.
A different report I saw this week showed something similar.
32% of hiring managers said they brought back the exact jobs they cut for AI.
Think about how dumb that is. You fire people, pay a fortune for AI, then pay again to hire the same people back.
Look, I’m no AI bear. I use AI every single day.
It saves me a shit ton of time and I’m not going back. It’s an incredible tool.
But market forces are still market forces.
Every boom in history has been overhyped, and every CEO wanted to stand up and tell Wall Street he could do more with half the people.
Now from what I’m seeing, reality is kicking in.
It costs way more than they thought, it breaks shit, and you still need people who know what the hell they’re doing.
Even the AI companies are feeling it. Elon just cut Grok’s usage limits and admitted it costs more to run than it brings in.
I still think AI is a great bet, and I’m still buying the companies building the data centers. But you need balance, and the guys who went all in on firing everyone are learning that the hard way.
Be careful out there.
Jeff Michaud retweeted
It looks like the AI layoff boom has started to backfire.
I was just going through a Reuters investigation on Meta, and holy shit...
They drew up plans to cut some teams by as much as 60% and let AI agents do the work. THEN Zuckerberg called off the next round of layoffs hours before the first one even started.
And when you look at the numbers... they tell you why.
Engineers were pushing out 220% more code, BUT major technical and security incidents jumped 40%.
So people spent 70% more time putting out fires.
AI cranked out way more work, and humans spent way more time cleaning it up.
A different report I saw this week showed something similar.
32% of hiring managers said they brought back the exact jobs they cut for AI.
Think about how dumb that is. You fire people, pay a fortune for AI, then pay again to hire the same people back.
Look, I’m no AI bear. I use AI every single day.
It saves me a shit ton of time and I’m not going back. It’s an incredible tool.
But market forces are still market forces.
Every boom in history has been overhyped, and every CEO wanted to stand up and tell Wall Street he could do more with half the people.
Now from what I’m seeing, reality is kicking in.
It costs way more than they thought, it breaks shit, and you still need people who know what the hell they’re doing.
Even the AI companies are feeling it. Elon just cut Grok’s usage limits and admitted it costs more to run than it brings in.
I still think AI is a great bet, and I’m still buying the companies building the data centers. But you need balance, and the guys who went all in on firing everyone are learning that the hard way.
Be careful out there.
Jeff Michaud retweeted
You cannot optimize what you haven't mastered manually. You haven't earned the right to automate until you've felt the friction of the manual labor.
Jeff Michaud retweeted
This cube is balancing on one corner. Nothing is holding it up.
Inside, four heavy metal wheels sit on different sides. They spin up and brake in a split second and that kick pushes the cube back upright every time it starts to tip.
Then a finger pokes it.
It lurches hard to one side, twists around, wobbles like it’s about to crash. And then it catches itself, fights its way back, and settles on that one corner like nothing happened.
No legs. No stand. No hand holding it. Just spinning wheels and a brain that never lets it fall.
You can’t knock it over. It won’t let you.