HackerTube.dev

Human AI is Decades Away, But We Need to Start the Debate Now | Demis Hassabis | Google Zeitgeist

Google Zeitgeist · 304.8K views · 2015-05-12 · 16:41

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

Demis Hassabis of DeepMind speaks at Google Zeitgeist, saying human-level AI is decades away but the debate should start now. He covers DeepMind's focus on game-playing agents.

On Hacker News

HN cites it for the DeepMind CEO's early views on AI and its game-playing focus, in AlphaGo and OpenAI threads.

Recommended by 1 HN people across 1 months · HN mentions 2015–2016

Topics

Search by tags

What people said

dframe · 2015-09 · Recommendation

You and the person's comment above you are missing the point. First watch : [VIDEO] (A.I and physics) are quite related and workable ^I reference the above video not because I watched it and thought (hey that makes sense). I reference it because I already felt the same in my work on A.I and felt (wow someone else gets it) Also : [LINK] It's good to keep all sorts of working ideas/knowledge in your head when you're working towards solving a problem. All the physics experiments in the world aren't going to give you insight into problems unless you have workable ideas for how to integrate the findings into understanding/knowledge. What people often error in is that you can keep hacking away at and brute force your way to knowledge/understanding ... “A theory can be proved by experiment; but no path leads from experiment to the birth of a theory.” — Albert Einstein Ancient philosophers solved a lot of problems. More than you seem to be giving credit to. It's from their ideas that people knew where to look to 'prove' things. Watch the Feynman video and truly grasp what he is saying.

Read the original HN comment ↗
ktta · 2016-06 · Reference

I find it really interesting that Goal 4 is a game playing agent. Deepmind has been focussing on this since the beginning[0] and actually has great progress as far as Atari games go[1]. And DeepMind is able to use a single agent rather than a different specific one for each game. I wonder if OpenAI wants to go in a different direction although RL has considerable success. Whereas the other goals definitely need a lot of work before they are "real-world" functional, especially Goal 3. But of course that depends on their definition of 'useful'. [0]: [VIDEO] [1]: [LINK]

Read the original HN comment ↗
SonicSoul · 2016-03 · Reference

I really liked Jeff Atwoods explanation [0], and the DeepMinds CEO talk referenced in his post [1] [0] [LINK] [1] [VIDEO]

Read the original HN comment ↗

Sources

Video by Google Zeitgeist, 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