175 karma · joined March 28, 2024
He’s not wrong. I’ve got tons of pictures of the outdoors. Not that they aren’t beautiful. Pressed, I mostly couldn’t tell one from the other.
https://novelchallenge.github.io/
At best you’re looking at 60% or so accuracy
I’m a big fan of value as prioritization. Work on the things that deliver value. However value is defined. Revenue, nps, etc. Ime, small companies don’t care about deadlines or they shouldn’t. They care about what’s delivering value or the next outcome. It’s only as you grow the company suddenly people want deadlines. Or you have small companies that misunderstand what their focus should be. There are obviously some time constraints that need deadlines. You can’t work on something for the holidays and deliver in Feb.
With all the AI focus on coding, it feels like we're going to end up sticking with a few languages because that's what it's good at or trained on.
1. Latency is a major issue.
2. Fine tuning can lead to major improvements and I think reduce latency. If I didn’t misread.
3. There’s some threshold or problems where prompting or fine tuning should be used.
Agreed on personalities. Phi, I think because of the curated training data comes across as very dry.