#162 – Mustafa Suleyman on getting Washington and Silicon Valley to tame AI

#162 – Mustafa Suleyman on getting Washington and Silicon Valley to tame AI

Mustafa Suleyman was part of the trio that founded DeepMind, and his new AI project is building one of the world's largest supercomputers to train a large language model on 10–100x the compute used to train ChatGPT.

But far from the stereotype of the incorrigibly optimistic tech founder, Mustafa is deeply worried about the future, for reasons he lays out in his new book The Coming Wave: Technology, Power, and the 21st Century's Greatest Dilemma (coauthored with Michael Bhaskar). The future could be really good, but only if we grab the bull by the horns and solve the new problems technology is throwing at us.

Links to learn more, summary and full transcript.

On Mustafa's telling, AI and biotechnology will soon be a huge aid to criminals and terrorists, empowering small groups to cause harm on previously unimaginable scales. Democratic countries have learned to walk a 'narrow path' between chaos on the one hand and authoritarianism on the other, avoiding the downsides that come from both extreme openness and extreme closure. AI could easily destabilise that present equilibrium, throwing us off dangerously in either direction. And ultimately, within our lifetimes humans may not need to work to live any more -- or indeed, even have the option to do so.

And those are just three of the challenges confronting us. In Mustafa's view, 'misaligned' AI that goes rogue and pursues its own agenda won't be an issue for the next few years, and it isn't a problem for the current style of large language models. But he thinks that at some point -- in eight, ten, or twelve years -- it will become an entirely legitimate concern, and says that we need to be planning ahead.

In The Coming Wave, Mustafa lays out a 10-part agenda for 'containment' -- that is to say, for limiting the negative and unforeseen consequences of emerging technologies:

1. Developing an Apollo programme for technical AI safety
2. Instituting capability audits for AI models
3. Buying time by exploiting hardware choke points
4. Getting critics involved in directly engineering AI models
5. Getting AI labs to be guided by motives other than profit
6. Radically increasing governments’ understanding of AI and their capabilities to sensibly regulate it
7. Creating international treaties to prevent proliferation of the most dangerous AI capabilities
8. Building a self-critical culture in AI labs of openly accepting when the status quo isn't working
9. Creating a mass public movement that understands AI and can demand the necessary controls
10. Not relying too much on delay, but instead seeking to move into a new somewhat-stable equilibria

As Mustafa put it, "AI is a technology with almost every use case imaginable" and that will demand that, in time, we rethink everything.

Rob and Mustafa discuss the above, as well as:

  • Whether we should be open sourcing AI models
  • Whether Mustafa's policy views are consistent with his timelines for transformative AI
  • How people with very different views on these issues get along at AI labs
  • The failed efforts (so far) to get a wider range of people involved in these decisions
  • Whether it's dangerous for Mustafa's new company to be training far larger models than GPT-4
  • Whether we'll be blown away by AI progress over the next year
  • What mandatory regulations government should be imposing on AI labs right now
  • Appropriate priorities for the UK's upcoming AI safety summit

Get this episode by subscribing to our podcast on the world’s most pressing problems and how to solve them: type ‘80,000 Hours’ into your podcasting app. Or read the transcript.

Producer and editor: Keiran Harris
Audio Engineering Lead: Ben Cordell
Technical editing: Milo McGuire
Transcriptions: Katy Moore

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

Jaksot(343)

Jasmine Sun on what the people building AI really believe

Jasmine Sun on what the people building AI really believe

Many AI researchers believe mass job displacement is coming — and some even think there’s a chance their technology will kill everyone. But they’re building it anyway. Writer and journalist Jasmine Su...

21 Heinä 0s

#247 – Anton Leicht on how middle powers avoid losing everything in a post-AI world

#247 – Anton Leicht on how middle powers avoid losing everything in a post-AI world

In a post-AGI world, can a country without access to frontier AI even be considered sovereign anymore?Anton Leicht says once frontier AI becomes a core economic input, the countries that own it will p...

14 Heinä 0s

#246 – Sneha Revanur on how a small team of activists helped pass America's landmark AI safety laws

#246 – Sneha Revanur on how a small team of activists helped pass America's landmark AI safety laws

Six years ago, aged just 15, Sneha Revanur founded the AI advocacy nonprofit Encode AI — back when AI felt like a niche issue. Now the world’s caught up with her, and she’s ready to share everything s...

8 Heinä 52min

We can guess what intergalactic war would look like. And strangely, it matters.

We can guess what intergalactic war would look like. And strangely, it matters.

Intergalactic war is probably billions of years away — yet physics can already tell us how it ends. And strangely that conclusion is relevant to decisions people have to make today.In this video, Rob ...

18 Kesä 15min

How AI could create the world’s biggest problems (article by Zershaaneh Qureshi)

How AI could create the world’s biggest problems (article by Zershaaneh Qureshi)

Imagine you’re living 15,000 years ago. Your people are hunter-gatherers and you sleep under the stars. If someone told you humans would one day build cities with millions of people, fly through the a...

11 Kesä 1h 29min

#245 – Rohin Shah on what it's really like to run AGI safety at Google DeepMind (and where I disagree with 'doomers')

#245 – Rohin Shah on what it's really like to run AGI safety at Google DeepMind (and where I disagree with 'doomers')

Most people working on AI safety think without a massive effort AI systems will probably end up with goals catastrophically different from humanity’s. Today’s guest, Rohin Shah — head of AGI Safety an...

2 Kesä 2h 48min

What makes for a dream job? | Benjamin Todd

What makes for a dream job? | Benjamin Todd

What actually makes a job fulfilling? It's not what most career advice tells you. "Follow your passion" sounds inspiring, but it's misleading — and the research backs that up.Drawing on hundreds of st...

28 Touko 28min

#244 – Benjamin Todd on how we’re updating our career advice for the strangest time in history

#244 – Benjamin Todd on how we’re updating our career advice for the strangest time in history

The average career is 80,000 hours long. With AI advancing so rapidly, the hours you have left in your career matter more than ever.Some leading AI researchers think there’s a 10% chance that AI syste...

26 Touko 1h 6min

Suosittua kategoriassa Koulutus

rss-murhan-anatomia
psykopodiaa-podcast
voi-hyvin-meditaatiot-2
rss-liian-kuuma-peruna
rss-arkea-ja-aurinkoa-podcast-espanjasta
kesken
rss-luonnollinen-synnytys-podcast
aamukahvilla
rss-perho-rajoilla
rss-koira-haudattuna
mielipaivakirja
rss-narsisti
rss-rahataito-podcast
solu-ja-molekyylibiologian-perusteet
ensihoidon-ja-pelastustyoncast
rss-niinku-asia-on
ihminen-tavattavissa-tommy-hellsten-instituutti
rss-hereilla
taytta-tavaraa
rss-duodecim-lehti