archagon
Joined 14 years ago
Joined 14 years ago
Also, I could be wrong, but I see two additional problems with the AI business model:
* AI accelerationists believe that generative AI will lead to compounding software complexity that opens paths to incredible economic growth. But there's a good chance it will mostly just expand breadth-wise, i.e. flood the world with mediocre code that follows well-trod paths and ships a lot faster instead of inventing new abstractions or reifying concepts that actually allow for compounding complexity. I don't think consumers want to be flooded with more software. I think they actively don't want this.
* Unless software development is forever "finished" in its current state, or unless actual general intelligence is somehow invented, the training work can never stop. If the money runs out, current models will still be useful for a while, but eventually the industry will lap the training data and model output will degrade.
To be honest, I'm starting to get the feeling that heavy AI use gives you a form of brain damage. See also: https://www.fastcompany.com/91520702/y-combinator-garry-tan-...
Funny you think AI critics are the ones doing this. Here’s Sam Altman, literally today: https://fortune.com/2026/10/28/openai-ceo-sam-altman-gen-z-d...
I've released an experimental iPad sequencer called Composer's Sketchpad: http://composerssketchpad.com
And an Untappd-integrated app for drink tracking called Good Sprits: https://apps.apple.com/us/app/good-spirits/id1434237439
I've also dabbled in CRDT research: http://archagon.net/blog/2018/03/24/data-laced-with-history/