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The Thinking Game Film – Google DeepMind documentary

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Re: The Thinking Game Film – Google DeepMind documentary

#141

Post by mattlondon »

What confused me about this documentary was the "at home" scenes for Hassabis.

He is famously a North London lad, but the at home shots are clearly shot from South London looking North (you can tell by the orientation of The Shard and Bishops Gate out of the window).

I thought that this might have been a "stage home" but it appears to be the same place in the background of various video conferences he is on too, so unless those were staged for the documentary (which seems like a lot of effort), then he lives near Crystal Palace and not Highgate?

Re: The Thinking Game Film – Google DeepMind documentary

#142

Post by eamsen »

incognito124 wrote: post #30
threethirtytwo wrote: post #22

Earlier quoted context omitted.

Why are images and video a complete waste? This makes no sense to me. Right now the generators aren’t effective but they are definitely stepping stones to something better in the future. If that future thing produces video, movies and pictures better than anything humanity can produce at a rate faster than we can produce things… how is that a waste? It can arguably be bad for society but definitely not a waste.

Let me phrase it a bit differently, then: AI generated cats in Ghibli style are a waste, we should definitely do less of that. I did not hold that opinion before the documentary Education-style infographics and videos are OK.

Our family derives a lot of joy from stylized versions of our photos. For us, it is not a waste. If you do not derive anything positive from it, you will likely not use it, hence no energy wasted either. Your argument is objectively wrong.

Re: The Thinking Game Film – Google DeepMind documentary

#143

Post by danpalmer »

neumann wrote: post #118
danpalmer wrote: post #104

Earlier quoted context omitted.

No one is suggesting using LLMs for weather. DeepMind is making significant progress on weather prediction with new AI models.

oh god - please tell BoM in Australia. Either ML is not keeping up with clime change unpredictability, or SOTA is worse than what we had 10 years ago.

I relocated to Australia last year. This country is obsessed with the BoM and I don't know why. The few times I've used it, it was either outright wrong, or I couldn't even find the weather info I wanted (like, is it going to rain tomorrow), and they only added TLS in 2025!

Re: The Thinking Game Film – Google DeepMind documentary

#144

Post by verisimi »

AndrewKemendo wrote: post #84
verisimi wrote: post #71

Earlier quoted context omitted.

weekends are always better on hn

How does that relate to my comment?

Agreeing that tech is often not used for the betterment of mankind is still considered a controversial comment around here.

The original comment and you agreeing, struck me as examples of the more open commentary one can see at the weekends.

Re: The Thinking Game Film – Google DeepMind documentary

#146

Post by kk58 »

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5409063

AI for science is much bigger than RL or Generative AI in science.

There are several classes of models Like operator learning, physics informed neural networks, Fourier operators

That perform magnificently well and have killer applications in various industrial settings

Do read the attached paper if you're curious about AI in science

Re: The Thinking Game Film – Google DeepMind documentary

#147

Post by wasmainiac »

threethirtytwo wrote: post #117
wasmainiac wrote: post #83

Earlier quoted context omitted.

But it’s not. I think most can agree that there really has not been any real entertainment from genAI beyond novelty crap like seeing Lincoln pulling a nice track at a skate park. No one wants to watch genAI slop video, no one wants to listen to genAI video essays, most people do not want to read genAI blog posts. Music is a maybe, based on leaderboards, but it is not like we ever had a lack of music to listen to.

Bro. You and your cohorts said the exact same thing about LLMs and coding when ChatGPT just came out. The status quo is obvious. So no one is talking about that. Draw the trendline into the future. What will happen when the content is indistinguishable and AI is so good it produces something moves people to tears?

Bro, it sure if you noticed. ChatGTP isnt that great at coding end to end. It can regurgitate common examples well, but if your working on large technical code bases it does more harm that good. It need constant oversight, why don’t I write the code myself. We are at an infrastructure limit, not sure we are going to see order of magnitude improvements any more.

Re: The Thinking Game Film – Google DeepMind documentary

#149

Post by threethirtytwo »

wasmainiac wrote: post #147
threethirtytwo wrote: post #117

Earlier quoted context omitted.

Bro. You and your cohorts said the exact same thing about LLMs and coding when ChatGPT just came out. The status quo is obvious. So no one is talking about that. Draw the trendline into the future. What will happen when the content is indistinguishable and AI is so good it produces something moves people to tears?

Bro, it sure if you noticed. ChatGTP isnt that great at coding end to end. It can regurgitate common examples well, but if your working on large technical code bases it does more harm that good. It need constant oversight, why don’t I write the code myself. We are at an infrastructure limit, not sure we are going to see order of magnitude improvements any more.

I no longer write code. I’ve been a swe for over a decade. AI writes all my code following my instructions. My code output is now expected to be 5x what it was before because we are now augmented by AI. All my coworkers use AI. We don’t use ChatGPT we use anthropic. If I didn’t use AI I would be fired for being too slow.

What I work on is large and extremely technical.

And no we are not at an infrastructure limit. This statement is insane. We are literally only a couple years into LLMs becoming popular. Everything we see now is just the beginning. You can only make a good judgement call of whether we are at our limit in 10 years.

Because the transition hit so quickly a lot of devs and companies haven’t fully embraced AI yet. Culture is still lagging capability. What you’re saying about ChatGPT was true a year ago. And now one year later, everything you’re saying isn’t remotely true anymore. The pace is frightening. So I don’t blame you for not knowing. Yes AI needs to be managed but it’s at a point where the management no longer hinders you and it instead augments your capabilities.

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