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555 points maheshrijal | 7 comments | | HN request time: 1.691s | source | bottom
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jdross ◴[] No.43707849[source]
The pace of notable releases across the industry right now is unlike any time I remember since I started doing this in the early 2000's. And it feels like it's accelerating
replies(3): >>43707964 #>>43708571 #>>43712041 #
1. emp17344 ◴[] No.43707964[source]
Not really. We’re definitely in the incremental improvement stage at this point. Certainly no indication that progress is “accelerating”.
replies(3): >>43708074 #>>43708367 #>>43712868 #
2. nwienert ◴[] No.43708074[source]
ChatGPT 3 : iPhone 1

A bunch of models later, we're about on the iPhone 4-5 now. Feels about right.

replies(1): >>43711992 #
3. Workaccount2 ◴[] No.43708367[source]
Integration is accelerating rapidly. Even if model development froze today, we would still probably have ~5 years of adoption and integration before it started to level off.
replies(1): >>43709182 #
4. littlestymaar ◴[] No.43709182[source]
You are both correct. It feels like the tech itself is kinda plateauing but it's still massively under-used. It will take a decade or more before the deployment starts slowing down.
5. int_19h ◴[] No.43711992[source]
It's more like GPT-3 is the Manchester Baby, and we're somewhere around IBM 700 series right now. Still a long way to go to iPhone, as much as the industry likes to pretend otherwise.
replies(1): >>43725631 #
6. adncors ◴[] No.43712868[source]
But we're seeing incremental improvements every two months, so...
7. nwienert ◴[] No.43725631{3}[source]
Both were big consumer commercial breakouts and far better than predecessors. And several years later both see only iterative improvements.

Neither apply to your analogy.