Composer/producer, computational scientist, sci-fi author, martial artist, explorer, amateur philologist. No longer here: https://xitter.cf/t.co/UjIfEwSGye

Longmont, CO
Joined April 2018
8 years ago I decided done was better than perfect, and PatternShift was born. And my music and sci-fi writing made it out into the world before the generative AI bomb-pulse. This Friday, PS dies a fiery, explosive death w/the final album, FRAMESHIFT. open.spotify.com/prerelease/…
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I've given in. I now use a little AI around the edges of system I bled into for the last 8 years. holy shit. that is all.
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lol if you call yourself a prompt engineer and don't have σπεῦδε βραδέως in all your llm facing markdown.
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(1) the best way to produce a formal specification of a program is to write a program, & (2) bSAT is the reference NP-complete problem. formal methods in practice has shown that formal specification takes sig. more work than writing robust software through discovery effort.
Right now the biggest barrier to AI-driven formal methods is that AIs are absolutely dogshit at coming up with good properties. I thought that was just a March 2026 thing but it seems to be a September 2026 thing too
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you don't need LLMs to write functional code. - craigslist was built in a few weekends - core ffmpeg in a few months - linux to initial version in 5 months and git in a few weeks - instagram 8 weeks - stardew valley even @ 4 years destroys LLMs LLMs suck
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the insane amnesia these AI fanbros have; they think the existence of coding agents somehow cancels out the fact that people have built incredible software with solo dev effort in short periods of time w/life-changing consequences.
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no, it's not 'early', it's at the saturation point. vibe coding for months is way worse than what people get out of weekend or vacation projects. the only 'early' that makes sense here is 'early' as in 'it will be awhile before it's not way worse than competent humans'
Replying to @GohilHardy
Honestly it's still early fam. Enterprise stuff needs context and accountability that prompts alone can't give yet. Solo devs will get there though 🚀
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yeah totally not made up numbers. totally not highlighting "code" as the metric b/c there's not a lack of meaningful outcome to attach to it otherwise. but sure let's amplify that implied 80th percentile tier effort so that it drowns out everything better, what could go wrong?
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I've seen many people that used to be good programmers, people who made things people cared about & used, stop doing anything useful with their dev time and now just use AI to make a bunch of AI stuff that only them or maybe up to 10 other AI addicts use.
I don't even know what to say, man
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there's a legal term for this and it's negligence, you depraved wannabe mass-murdering larpers. tired of the rhetorical trickery in couching everything in exotic sci-fi terms when there's real danger, and it's just basic, boring negligence.
Replying to @EvanHub
To be clear, as we say in our latest Risk Report (xitter.cf/AnthropicAI/status/208…), I think the risk from present models is low. What I am worried about is superintelligence arising from recursive self-improvement, as we have said is happening faster than we thought (xitter.cf/AnthropicAI/status/206…).
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Coming July 10, the final PatternShift album: F R A M E S H I F T Now in digital pre-order: vendekagon.bandcamp.com/albu…
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> Scare a software engineer with 4 words: npm install, pip install
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study computational biology
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Did my best to give the weirdest possible talk on software for cancer informatics. Featuring: - historical linguistics memes - cancer as a crime scene - lisp - music composer business hacks - the etymology of 'etymology' - spiritual alignment w/@htmx_org youtu.be/HU-uwSUZETw?si=EQ89…
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I have no words to add, just some music to play while everything burns down: open.spotify.com/album/0iZpZ…
Here is why I am afraid of AI. I understand how management, boards, investors think. They are all overextended, barely able to keep their head above the water. They've already outsourced their thinking to ChatGPT because they just can't keep up with the changing times. They do not understand why software development is so expensive. Their orgs are collapsing industry-wide as capital reallocates into the next thing, leaving virtually all companies exposed. Not just the VC backed, but cascading effects - layoffs are happening everywhere. Salaried managers are deeply motivated to continue to perform activities that generate their salary, and under this intense competitive pressure, it is all they can do "keep the music playing for one more quarter". And there is enough of a promise, from their perspective, a glimmer of hope, that AI will either help turn the ship around, or slow the fall, or even just fear that more agile competitors will use AI to defeat them. Even a clear-minded individual manager in an org must execute the plan handed down to them, regardless of their personal opinions -- they do not control the company strategy, and if they want to keep their tech salary, which is under attack from all directions, they bend the knee. 24% of US tech managers over age 50, once laid off, do not return to the workforce. Therefore, it doesn't matter what is real, it only matters what the majority believes, we are a democracy after all. The AI train has already left the station, it is accelerating, it is about to jump the tracks, and when it does, it will have far too high momentum to do anything about it, and we are all going to watch the slow-motion trainwreck take these managers out, and the entire tech sector with them, but a prerequisite to that happening is everything is going to break. The world is going to break. Climate change, financial crisis, inequality, cryptocurrency, energy, famine, war. And then the world will recover and be built anew, and the information age can finally begin. This is my 40 year prediction of what will happen in my remaining productive lifetime.
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