#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

Jaksot(324)

#219 – Toby Ord on graphs AI companies would prefer you didn't (fully) understand

#219 – Toby Ord on graphs AI companies would prefer you didn't (fully) understand

The era of making AI smarter just by making it bigger is ending. But that doesn’t mean progress is slowing down — far from it. AI models continue to get much more powerful, just using very different m...

24 Kesä 20252h 48min

#218 – Hugh White on why Trump is abandoning US hegemony – and that’s probably good

#218 – Hugh White on why Trump is abandoning US hegemony – and that’s probably good

For decades, US allies have slept soundly under the protection of America’s overwhelming military might. Donald Trump — with his threats to ditch NATO, seize Greenland, and abandon Taiwan — seems hell...

12 Kesä 20252h 48min

#217 – Beth Barnes on the most important graph in AI right now — and the 7-month rule that governs its progress

#217 – Beth Barnes on the most important graph in AI right now — and the 7-month rule that governs its progress

AI models today have a 50% chance of successfully completing a task that would take an expert human one hour. Seven months ago, that number was roughly 30 minutes — and seven months before that, 15 mi...

2 Kesä 20253h 47min

Beyond human minds: The bewildering frontier of consciousness in insects, AI, and more

Beyond human minds: The bewildering frontier of consciousness in insects, AI, and more

What if there’s something it’s like to be a shrimp — or a chatbot?For centuries, humans have debated the nature of consciousness, often placing ourselves at the very top. But what about the minds of o...

23 Touko 20253h 34min

Don’t believe OpenAI’s “nonprofit” spin (emergency pod with Tyler Whitmer)

Don’t believe OpenAI’s “nonprofit” spin (emergency pod with Tyler Whitmer)

OpenAI’s recent announcement that its nonprofit would “retain control” of its for-profit business sounds reassuring. But this seemingly major concession, celebrated by so many, is in itself largely me...

15 Touko 20251h 12min

The case for and against AGI by 2030 (article by Benjamin Todd)

The case for and against AGI by 2030 (article by Benjamin Todd)

More and more people have been saying that we might have AGI (artificial general intelligence) before 2030. Is that really plausible? This article by Benjamin Todd looks into the cases for and against...

12 Touko 20251h

Emergency pod: Did OpenAI give up, or is this just a new trap? (with Rose Chan Loui)

Emergency pod: Did OpenAI give up, or is this just a new trap? (with Rose Chan Loui)

When attorneys general intervene in corporate affairs, it usually means something has gone seriously wrong. In OpenAI’s case, it appears to have forced a dramatic reversal of the company’s plans to si...

8 Touko 20251h 2min

#216 – Ian Dunt on why governments in Britain and elsewhere can't get anything done – and how to fix it

#216 – Ian Dunt on why governments in Britain and elsewhere can't get anything done – and how to fix it

When you have a system where ministers almost never understand their portfolios, civil servants change jobs every few months, and MPs don't grasp parliamentary procedure even after decades in office —...

2 Touko 20253h 14min

Suosittua kategoriassa Koulutus

rss-murhan-anatomia
voi-hyvin-meditaatiot-2
rss-narsisti
rss-uskonto-on-tylsaa
rss-vapaudu-voimaasi
psykologia
rss-liian-kuuma-peruna
psykopodiaa-podcast
rss-duodecim-lehti
adhd-podi
aamukahvilla
kesken
rss-valo-minussa-2
rss-tietoinen-yhteys-podcast-2
rss-hereilla
filocast-filosofian-perusteet
rss-taloustaito-podcast
rss-turun-yliopisto
rss-luonnollinen-synnytys-podcast
rss-synapselingo-opi-englantia