Predictions for AI in 2025 I Ex-OpenAI, Ex-Stripe researcher Stanislav Polu

High Agency: The Podcast for AI Builders

Контент предоставлен Raza Habib. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией Raza Habib или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.

4M ago 44:27

MP3•Главная эпизода

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

31 эпизодов

#Tech #Raza Habib #Large Language Models #Generativeai #AI Products #Ai Playbooks