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Just to offer a counter-point, we had measurable success with this tech solving a direct problem it's designed to solve for: https://www.honeycomb.io/blog/we-sh
by phillipcarter 3y ago
Just to offer a counter-point, we had measurable success with this tech solving a direct problem it's designed to solve for: https://www.honeycomb.io/blog/we-shipped-ai-product https://www.honeycomb.io/blog/we-shipped-ai-product
My take is that the tech isn't in search of a problem, we're just early. It solves a lot of problems. The challenge is getting the right data pipelines in place to allow it to do that. The good news is that in many cases, it's a good thing to have that in the first place.
- Swizec 3y agoI agree! GenAI is great at solving lots of problems right now, but not all problems as many are hyping. And for many use-cases it's still too expensive/slow. I wasn't trying to say it's useless, I was getting at this sentence from your 2nd paragraph: "[did it work?] The short answer is... mostly." That "mostly" part is the cold reality many products have run into this past year. It's been the biggest problem in my experiments at least. The current tech requires a lot of babysitting.
- phillipcarter 3y agoI would say that "mostly" is an incredible achievement. Most feature work done in software produces zero to middling desired outcomes.