1min snip

Machine Learning Street Talk (MLST) cover image

Ryan Greenblatt - Solving ARC with GPT4o

Machine Learning Street Talk (MLST)

NOTE

Efficient Reasoning and Knowledge Acquisition

Reasoning in different domains can vary, with abstraction playing a key role in making connections between modalities. Abstraction involves identifying links between different domains, such as associating gravity with the movement of planets. Intelligence is tied to the efficiency of the reasoning process, which is crucial for acquiring knowledge. Language models can help bridge knowledge gaps, and abstract reasoning involves finding connections in the information space. The challenge lies in efficiently finding the link between existing data and creating new knowledge.

00:00

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

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

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