AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
3min snip
John Schulman (OpenAI Cofounder) - Reasoning, RLHF, & Plan for 2027 AGI
Dwarkesh Podcast
Post training as a company moat
Post training data enables companies to understand user needs and preferences, helping in developing complex models aligned with specific styles and moralities. Creating models post training requires skilled individuals, tacit knowledge, and organizational understanding. It involves a significant accumulation of R&D effort, making it non-trivial to replicate instantly. Companies focusing on serious pre-training efforts usually invest in post-training as well. However, the ability to distill or replicate models from others reduces the uniqueness of this post-training effort, although this method may be used by smaller players. This practice, while possibly violating terms of service and denting pride, can be a shortcut for newcomers to establish themselves in the field.
00:00
Transcript
Episode notes
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode