The mathematics of AI uncertainty

Source: Google DeepMind on YouTube By Google DeepMind

Summary

Long before the current wave of large language models, one academic researcher was trying to give machines a sense of their own limitations. Zoubin Ghahramani has spent the last 30 years pioneering a type of intelligence built on the mathematics of uncertainty. Today, as a professor at Cambridge and VP of research at Google DeepMind, Zoubin finds himself at the heart of an interesting debate: will improving machine uncertainty be one of the missing pieces to ever improving AI? Timecodes: 00:00 Introduction 01:06 The role of uncertainty 07:45 Correctness vs…

Read this on Google DeepMind on YouTube
Opens in a new tab. Subvolts summarizes and links; the full piece belongs to Google DeepMind on YouTube.
Where the other five stand

Related: OpenAI: OpenAI’s next big AI model has ‘entered the AGI era’ · Anthropic: AGI IS HERE · Microsoft: What's new in AI? · Meta: This AI-Powered Wheelchair Could Change How People Move · xAI: Sam Altman "AGI by December"

Hype check
2/5Worth a look

Rated low: routine. Worth knowing, not worth rearranging your day for.

Who's talking about it
Prior coverage our earlier items on the same thing
Published
Source
Google DeepMind on YouTube (youtube.com)
Author
Google DeepMind
Company
Google · Official · Videos
Summary by
Subvolts, using an extract from the source (how we work). Spotted a mistake? Tell us.

Questions people ask

Where can I read the full video?
On Google DeepMind on YouTube. The "Read this on Google DeepMind on YouTube" link above opens the original in a new tab. Subvolts publishes a summary and analysis, never the full piece.
What does this mean for Gemini?
Long before the current wave of large language models, one academic researcher was trying to give machines a sense of…

More from Google DeepMind on YouTube 14 more

Everything from Google DeepMind on YouTube →

Page generated Sep 3, 2026. Summaries are Subvolts' own; the story belongs to Google DeepMind on YouTube.