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brotchie | 6 months ago
I was working on crypto during the NFT mania, and THAT felt like a bubble at the time. I'd spend my days writing smart contracts and related infra, but I was doing a genuine wallet transaction at most once a week, and that was on speculation, not work.
My adoption rate of AI has been rapid, not for toy tasks, but for meaningful complex work. Easily send 50 prompts per day to various AI tools, use LLM-driven auto-complete continuously, etc.
That's where AI is different from the dot com bubble (not enough folks materially transaction on the web at the time), or the crypto mania (speculation and not utility).
Could I use a smarter model today? Yes, I would love that and use the hell out of it. Could I use a model with 10x the tokens/second today? Yes, I would use it immediately and get substantial gains from a faster iteration cycle.
sudohalt|6 months ago
kergonath|6 months ago
See the dotcom bubble in the early 2000s for a perfect example. The Web is still useful, but the bubble bursting was painful.
shoo|6 months ago
sothatsit|6 months ago
I have to imagine that other professions are going to see similar inflection points at some point. When they do, as seen with Claude Code, demand can increase very rapidly.