HackerTube.dev

Free Energy Principle — Karl Friston

Serious Science · 170.9K views · 2017-06-16 · 15:13

Open on YouTube ↗

If playback is restricted in your region, try opening the original video. Use Mark watched to add it to your marked videos.

Overview

Neuroscientist Karl Friston gives a 15-minute talk on the free energy principle, covering Markov blankets, Bayesian model evidence and global brain theories.

On Hacker News

Offered as a high-level, approachable introduction to Friston's idea of the brain as a prediction machine.

Recommended by 2 HN people across 2 months · HN mentions 2018–2023

Topics

Search by tags

What people said

frereubu · 2023-03 · Strong recommendation

I was studying something similar in my MSc about the neurobiology of language. It's well known that reading circuits in the brain make predictions about which words come next - a sentence like "The jam on the motorway made traffic slow" doesn't elicit much activity, whereas "The jam on the motorway was sticky" does, because "motorway" makes it much more likely that "jam" was about slow traffic rather than the condiment. (There are perhaps some interesting parallels to LLMs there...) But we were looking in the visual cortex, way back before the brain is even perceiving words, and we were finding pre-activation of circuits even there depending on whether people were presented with real words (e.g. sheep) or non-words (e.g. brast). I think there's a lot to be said for conceptualising the brain as a statistical machine - it makes a lot of sense in evolutionary terms. There's a great video introduction to that idea with Karl Friston from UCL here: [VIDEO]

Read the original HN comment ↗
jchook · 2018-11 · Recommendation

I found this interview with Karl Friston helpful to understand free energy principle from a high level: [VIDEO]

Read the original HN comment ↗
soulofmischief · 2020-07 · Reference

Ok, so less about the flow and nature of information and more about the semantics. > Seeing the computation as a physical process, processing information "about" details in its environment, highlights this. Are you familiar with Karl Friston's work on the Free Energy Principle? [0] He touches on how the nature of a living being (computational agent) is to model its external environment and act upon that model. That making decisions based on internal logic requires external stimulus and semantics being analyzed and augmented in sort of a feedback loop. > The key to all this is appreciating that, once you see semantics and information processing as a matter of physical processes, you can see that the correct semantics can be necessary for producing a physical outcome. I think I understand what you're saying and it touches on some of my own inquiries. A more concrete example, if you have one, might better help align me with where your thoughts are at regarding this. [0] [VIDEO]

Read the original HN comment ↗

Sources

Video by Serious Science, played through YouTube.

Data and selection notes

HN summaries and labels may contain AI errors. HN dates refer to discussions, not video publication.

HN Library: HackerTube export (2026-10-31) and open-index/hacker-news. Upstream summaries and classifications may contain AI errors.

Views, duration and playback status refresh separately from the published catalog. When an update fails, existing data remains visible.

Selection checks
  • SaaS & AI candidates: Topic keywords do not match
  • Editor-approved picks: Editorial review is required

Rule matches identify candidates. They do not guarantee video quality or financial results.

About the library and its sources