In this episode of High Agency, former OpenAI researcher Stan Polu shares his journey from AI research to founding Dust, an enterprise AI platform. Stan offers a contrarian view on the future of AI, suggesting we may be hitting a plateau in model capabilities since GPT-4. He discusses why startups should focus on product-market fit before investing in GPUs, shares practical lessons for building AI products, and predicts increased competition between AI labs and API developers.
Chapters: 00:00 - Introducing Dust: an enterprise AI platform 06:07 - From Stripe to OpenAI: Stan's journey 10:29 - Why research wasn't enough: building Dust 15:10 - Best practices for building an AI product 20:50 - Is prompt engineering here to stay 23:40 - Understanding language models and their limitations 32:56 - Predictions for AI in 2025 39:53 - Measuring progress toward AGI 42:26 - The true value of AI technology
-------------------------------------------------------------------------------------------------------------------------------------------------- Humanloop is the LLM evals platform for enterprises. We give you the tools that top teams use to ship and scale AI with confidence. To find out more go to humanloop.com
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