the Mel Brooks of memory leaks. ex @stockx, @stocktwits, @roverdotcom @hedra_labs
Joined November 2007
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got a nice little Zenburn theme port going in my github.com/modem-dev/hunk setup
super nice tool, thanks @bentlegen
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ramin retweeted
May 19
AI is basically the Status Apocalypse for the intellectual class. Look closely at the different viewpoints crystallizing, very few will last another 12 months.
Pangram will not work for much longer, or it will cost thousands of dollars. Slop is a technically solved problem but it's not evenly distributed yet because highbrow prose has tiny economic value relative to coding.
Uniquely stylish and powerful prose will still command a premium, but the best prose writers of the next generation are going to do that WITH AI (to variable degrees in many different production configurations).
Nobody whose identity, status or income derive from highbrow prose production wants to say this aloud because it means that all of their social worth and much of their self-worth is now up for grabs. Of course, the best writers today are well positioned to be some of the best prose engineers of the next generation, but they'd have to reinvent their way of thinking and working, which established careerists resent having to do.
The other big issue that contemporary writers resent is that, in the AI era, to be a "good writer" will require that you have real truths that other people don't have. And you're going to have to take risks to express them. Today, you can hide the lack of these two things with sufficiently advanced erudition and style. The people most freaking out right now are the fancy wordsmiths with fancy positions who have no real alpha and no real courage. It is absolutely rational for them to be stigmatizing AI unconditionally.
(The only reason I can say this aloud is that I've walked away from a successful academic career, so I've already traversed my status collapse voluntarily. I now feel pretty immune to whatever humblings technology has in store for us...)
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ramin retweeted
Apr 10
From early Nirvana to Phish, a Chicago fan’s secret recordings of 10,000 shows are now online. blockclubchi.co/4t6zW7R
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makings things is primarily people telling you it won't work, or coming up with reasons you shouldn't do it until either:
a) you give up (try to never do this)
b) you learn why it REALLY won't work (new rare knowledge), then you go start building something else
c) you try, and learn, and try, and learn until it REALLY works
then, the outcome is that the ones who said you shouldn't do it at the beginning change tone to "oh that was obvious" or "you got lucky"
just make things, ignore noises being made those who can't, won't, or don't create things
Apr 3
You have no experience.
You’ve never started a company.
You’ve never had a full time job.
Nike is going to kill you.
You’re a kid.
You don’t have technical skills.
You shouldn’t build hardware.
Apple is going to kill you.
You can’t build hardware.
You can’t measure heart rate non-invasively.
Athletes don’t care about recovery.
Under Armour is going to kill you.
It won’t be accurate.
You don’t listen.
You’re an ineffective leader.
You can’t recruit great talent.
You’re going to have to pay every athlete.
You can’t measure sleep non-invasively.
It’s too expensive to research.
Athletes are a small market.
The product costs too much to make.
The product costs too much to sell.
Your valuation is too high.
Consumers aren’t going to want it.
Hardware is too hard.
You should measure steps.
Fitbit is going to kill you.
You can’t build a marketing engine.
You can’t raise enough money.
You need a real CEO.
Google is going to kill you.
You can’t be a subscription.
You can’t build a brand.
You can’t do consumer in Boston.
Your valuation is too high.
You shouldn’t make accessories.
You shouldn’t make apparel.
Lululemon is going to kill you.
You can’t predict Covid.
Stay in your niche.
You are going to run out of money.
You can’t build a health platform.
Amazon is going to kill you.
You can’t measure blood pressure.
You can’t get medical approvals.
The market is too small.
You don’t understand AI.
The market is too competitive.
It won’t work internationally.
The supply chain is too complicated.
You can’t build an AI.
You can’t raise enough money.
It’s too competitive.
Healthcare isn’t going to want it.
…
Just keep going ✌️
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ramin retweeted
Closing the verification loop: Observability-driven harnesses for building with agents datadoghq.com/blog/ai/harnes…
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ramin retweeted
Feb 15
AI Naive: use agents to try to solve the problem.
AI Native: use agents to fix the missing data and scattered context that make the problem hard.
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ramin retweeted
Feb 12
the future belongs to those who can run along the edge of LLM psychosis without losing control
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Experienced a subtle but profound shift working on a deep, months-old codebase this week.
GPT 5.2 high in Codex ran a multi-hour loop, using a verification process I'd written to probe complex edge cases around shifting integration points, fix them, then re-verify. Maybe obvious, but the verification suite had become a protocol to compound collaboration between me (human, designer) and model (machine, implementer).
No fancy harness setup or tricks. Just months of close collaboration with the machine, building towards it.
Genuinely the first time I've felt confident deferring execution and maintenance of work I'd have traditionally designed a team/org structure around.
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ramin retweeted
Eraserhead baby pipe
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ramin retweeted
29 Dec 2025
The value is either in agentic compute runtimes or building domain specific harnesses as products. Everything else in AI infra seems to be a commodity, or better or worse, a reference implementation.
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