Sprig founder and CEO Ryan Glasgow explains how he evaluates and gains conviction when hiring machine learning talent.
Insight
Defining correctness in AI outputs is becoming increasingly subjective
“As we, I think, trend towards artificial general intelligence, the definition of correct or the definition of whether something is, you know, valid or not, It's becoming increasingly subjective”
Insight
Much of AI companies' value now lies in prompt engineering
“And I think a lot of the value for AI companies now, you know, is in prompt engineering. I think the early days was actually just Can you build a model? Can you get the model running? Can you get the model working in production? Where I think a lot of it is, c…”
Opinion
ChatGPT succeeded partly by remaining a standalone product outside core workflows
“And when you look at ChatGPT, I think partly why it's been successful is that it's such a standalone product that's not integrated into anything else. And I think if it actually was integrated into your Slack or into your email or into your work, I think peopl…”
Opinion
Agentic AI workflows are technically feasible today but face reliability hurdles
“Based on what we've seen today in the boundaries of the LLMs today is that we could, based on what we have tested with the models, actually build that now. And we are seeing the sophistication, the capability of the models to build that now. I think the roadbl…”
Disclosure
Three-worker Mechanical Turk consensus often failed expert data accuracy checks
“We originally hired Amazon Mechanical Turks, and we said, hey, we'll save money. We'll have three of them review every response. But we'd often see that even if all three of them gave the same output, we would go to an expert researcher or a customer or look a…”
Prediction Not checkable as stated
AI models will likely never reach total accuracy for subjective feedback categorization
“Cause we will never, it's very unlikely we'll ever get to a hundred percent. And so we'll get, you know, 90, 95, 99. But we'll always make sure that they have the ability to then do that last mile of analysis on their own. And so that's something that we have …”