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Kevin Weil

04/10/25

@ Lenny's Podcast

The future will likely see more researchers embedded in every product team, as fine-tuning models for specific use cases becomes a core workflow for building products.

Video

OpenAI’s CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil

@ Lenny's Podcast

OpenAI’s CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil

04/10/25

Related Takeaways

Marc Benioff

12/10/24

@ 20VC with Harry Stebbings

The future will consist of many smaller, specialized models for different use cases, rather than just one generic model.

Mark Zuckerberg

07/30/24

@ NVIDIA

In the future, we will see a proliferation of different AI models, with companies using the largest models for performance optimization.

Sergey Brin

05/21/25

@ All-In Podcast

In the future, foundational models may become highly specialized, such as models specifically designed for chip design or protein folding.

Mark Zuckerberg

07/30/24

@ NVIDIA

The ability to distill models from larger ones will be valuable, as companies will likely have AIs tailored for every function they need.

Jeff Dean

05/12/25

@ Sequoia Capital

The future landscape of AI may involve a combination of large models and smaller, specialized models that work in parallel, leveraging different areas of expertise.

Will Bryk

05/10/25

@ EO

Every human will become a product manager overseeing a team of AIs, making it crucial to plan for this future.

Mike Krieger

06/05/25

@ Lenny's Podcast

Embedding product managers with AI researchers yields ten times the impact compared to traditional product development methods.

Aparna Chennapragada

05/18/25

@ Lenny's Podcast

The future of product development will involve collaboration between humans and AI agents, where tasks can be delegated to agents to enhance productivity and creativity.

Mark Zuckerberg

04/30/25

@ Dwarkesh Patel

As AI becomes more integrated into various applications, we need to optimize for specific internal use cases, which may lead us to use other models if they better serve those needs.