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A conversation with John Schulman on the first year LLMs could have been useful, building research teams, and where RL goes from here. 00:20 - Speedrunning ChatGPT 09:22 - Archetypes of research managers 11:56 - Was OpenAI inspired by Bell Labs? 16:54 - The absence of value functions 18:23...

600,553 Aufrufe • vor 9 Monaten •via X (Twitter)

27 Kommentare

Profilbild von elie
elievor 9 Monaten

@johnschulman2 let's goooo

Profilbild von Madison Kanna
Madison Kannavor 9 Monaten

@johnschulman2 very cool

Profilbild von Rebecca Grant
Rebecca Grantvor 9 Monaten

@tszzl @johnschulman2 What’s an LLM?

Profilbild von Nelson Padilla
Nelson Padillavor 9 Monaten

@johnschulman2 One thing that stands out in this conversation is that access is no longer the advantage. We all have similar LLMs, papers, and tools. The real difference is how you think, the questions you ask, and how you structure the work. AI amplifies judgment. It doesn’t replace it.

Profilbild von Sandro
Sandrovor 9 Monaten

@johnschulman2 Much chiller version of John Collison

Profilbild von Himanshu Kumar
Himanshu Kumarvor 9 Monaten

@johnschulman2 Michael observed an absence; value assessment requires further investigation, analysis.

Profilbild von Alex Klein
Alex Kleinvor 9 Monaten

@johnschulman2 well this is really cool.

Profilbild von Samuel Ekpe
Samuel Ekpevor 9 Monaten

@johnschulman2 nice one!

Profilbild von Nicolas Muntwyler
Nicolas Muntwylervor 9 Monaten

@johnschulman2 I did not expect this cross over

Profilbild von Jacques
Jacquesvor 9 Monaten

@johnschulman2 Great topic selection!

Profilbild von Mohamed Anis
Mohamed Anisvor 9 Monaten

@johnschulman2 The Bell Labs comparison is fascinating, most research labs today optimize for publications while Bell optimized for breakthroughs that took decades to commercialize.

Profilbild von Karan Jagtiani
Karan Jagtianivor 9 Monaten

@johnschulman2 Excited to dive into these insights, especially on the future of RL. What were some surprising takeaways from the chat?

Profilbild von Gigi Alcaraz
Gigi Alcarazvor 9 Monaten

@johnschulman2 Very cool

Profilbild von w jakiś sposób
w jakiś sposóbvor 9 Monaten

@johnschulman2 Great thanks for that

Profilbild von martin
martinvor 8 Monaten

@johnschulman2 Respect to Schuman, but Bell labs? There's levels to the game

Profilbild von Bret Kerr 🛡️🧠🛜
Bret Kerr 🛡️🧠🛜vor 9 Monaten

@johnschulman2 I made a Gemini and Claude research team

Profilbild von Liam Murray
Liam Murrayvor 9 Monaten

@johnschulman2 Hell yeah, been waiting for the sequel to your Patrick Collison interview

Profilbild von Hanlin Wu
Hanlin Wuvor 9 Monaten

@johnschulman2 @grok 帮我翻译这个视频内容并生成总结

Profilbild von AiX
AiXvor 9 Monaten

@johnschulman2 Two normal innovating gentleman who have left their mark in technology history.

Profilbild von Alt-W-V-G
Alt-W-V-Gvor 9 Monaten

@johnschulman2 Have we confirmed Berkeley is an incredible powerhouse?

Profilbild von Sebastian Mendo
Sebastian Mendovor 9 Monaten

@johnschulman2 Amazing chat, incredibly insightful.

Profilbild von morisa
morisavor 9 Monaten

@johnschulman2 Merry Christmas ! All the best for you and your family.

Profilbild von Blockchain Baby
Blockchain Babyvor 9 Monaten

@johnschulman2 Thank you for this!

Profilbild von Jonathan
Jonathanvor 8 Monaten

@johnschulman2 Great watch! The “archetypes of research managers” + “peer review within the labs” sections are pure gold. Curious what you think changes most when research teams start using AI daily: hiring profile, review culture, or how ideas get selected?

Profilbild von Yuan
Yuanvor 4 Monaten

@johnschulman2 the future of RL starts @ 41:40

Profilbild von Podchemy
Podchemyvor 9 Monaten

@johnschulman2 The maturation of AI has shifted the required skillset from exploratory research taste towards strong software engineering, as much of the work now involves scaling ideas and building on existing infrastructure. Full episode notes here!

Profilbild von Rick Radewagen
Rick Radewagenvor 9 Monaten

@johnschulman2 "i use cursor a lot and claude code" - we have the same tools!

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