Noah Brier

2 weeks ago | whyisthisinteresting.substack.com | Noah Brier

Noah here. Since ChatGPT launched, I’ve been hearing the same fear expressed over and over, particularly in marketing circles: AI will drown us in low-quality content. The argument goes that AI makes content creation so cheap and easy that we’ll be flooded with mediocre, AI-generated “slop” that pollutes the internet. This creates a vicious cycle where models trained on slop produce even worse content. Why is this interesting? I think this logic misses something fundamental.

4 weeks ago | whyisthisinteresting.substack.com | Noah Brier

This originally went out under paywall, but open to all today. Noah here. Last week, a client asked me if I’d join a meeting they were having and spend 10 or 15 minutes talking about “vibe coding.”For the uninitiated, most people were introduced to the term by Andrej Karpathy, a legend in the world of A, and the first person who really got me excited about AI 15 years ago.

4 weeks ago | whyisthisinteresting.substack.com | Noah Brier

Noah here. Last week, a client asked me if I’d join a meeting they were having and spend 10 or 15 minutes talking about “vibe coding.” For the uninitiated, most people were introduced to the term by Andrej Karpathy, a legend in the world of A, and the first person who really got me excited about AI 15 years ago. On February 2nd, he tweeted:There's a new kind of coding I call "vibe coding", where you fully give in to the vibes, embrace exponentials, and forget that the code even exists.

Oct 23, 2024 | whyisthisinteresting.substack.com | Noah Brier

The below is a WITI-minded adaptation of an excellent dispatch Noah sent out recently. We wanted you to be able to enjoy it too. – LC and CJN. Noah here. Since ChatGPT came out, there’s been concern about the data we input being included in training. Some of this had to do with OpenAI’s consumer terms of service, which does allow them to train on the data you input.

Sep 26, 2024 | whyisthisinteresting.substack.com | Noah Brier

Noah here. A few years ago, I wrote about the explore/exploit tradeoff, a computer science concept that identifies the challenges between solving for breadth versus depth. The tradeoff is about understanding the give and take between exploration—going wide, trying new things—and exploitation, or going deep into one thing.