Machine Learning Street Talk (MLST) cover image

Machine Learning Street Talk (MLST)

#50 Christian Szegedy - Formal Reasoning, Program Synthesis

Apr 4, 2021
Dr. Christian Szegedy, a deep learning pioneer at Google, dives into the potential of automating mathematical reasoning and program synthesis. He discusses autoformalisation, envisioning a super-human mathematician that comprehends natural language. Szegedy shares insights on the evolution of machine learning, particularly with transformers, and their impact on formal proofs and reasoning. The conversation also highlights challenges in research and the path toward human-level AGI, questioning traditional programming methods while exploring the nature of mathematical creativity.
01:33:22

Episode guests

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