Shane Legg quote, Oct 26, 2023

Chief AGI Scientist, Google DeepMind · Oct 26, 2023 · Interview, Dwarkesh Podcast: 2028 AGI, superhuman alignment, new architectures

I think we can start training models now with the scale of the data that is beyond what a human can experience in a lifetime. So I think this is the first unlocking step.

Primary source

Words found on the source page on Sep 25, 2026.

More from Shane Legg

Date	Quote	Context	Source
Oct 26, 2023	And so, yeah, I think there's a 50% chance that we have AGI by 2028.Oct 26, 2023· Interview	InterviewDwarkesh Podcast: 2028 AGI, superhuman alignment, new architectures	Source
Oct 26, 2023	I'm sure what's going to happen is we’re going to get to 2029 and someone's going to say, “Shane, you were wrong.”Oct 26, 2023· Interview	InterviewDwarkesh Podcast: 2028 AGI, superhuman alignment, new architectures	Source
Oct 26, 2023	The way I think about it is this: to have a profoundly ethical AI system, it also has to be very, very capable.Oct 26, 2023· Interview	InterviewDwarkesh Podcast: 2028 AGI, superhuman alignment, new architectures	Source
Oct 26, 2023	When I say AGI, I mean a machine that can do the sorts of cognitive things that people can typically do, possibly more.Oct 26, 2023· Interview	InterviewDwarkesh Podcast: 2028 AGI, superhuman alignment, new architectures	Source

Date	Quote	Context	Source
Sep 17, 2026	And actually the models today are far beyond what was possible even six months ago.Noam BrownSep 17, 2026· Interview	InterviewDwarkesh Podcast: Agent swarms, alignment, and recursive self-improvement	Source
Sep 7, 2026	As LLMs continue to scale up, the value of any particular source continues to diminish.Kevin KellySep 7, 2026· Post	PostArguments in Favor of AI Fair Use	Source
Sep 7, 2026	Much, if not most, of the value of LLMs derives from their ability to generate new benefits beyond what the source material alone can yield.Kevin KellySep 7, 2026· Post	PostArguments in Favor of AI Fair Use	Source
September 2026	The obvious AI variant is to let your users opt in to training your model on their interactions with it. Many will resist that, but if some don't, the model they get to use will outperform the vanilla one used by the others.Paul GrahamSeptember 2026· Essay	EssayMaking Startups Powerful	Source
Aug 3, 2026	Our customers trust us to provide them with maximal control over their operations, data, and decisions. Their competitive advantage should never become the training data for future models.Alex KarpAug 3, 2026· Earnings	EarningsPalantir Q2 2026 earnings release (SEC Form 8-K, Exhibit 99.1)	Source
Jul 20, 2026	Second, intelligence isn’t in fact a perfect commodity, in part because applied intelligence makes itself smarter.Ben ThompsonJul 20, 2026· Post	PostWho's Afraid of Chinese Models?	Source

About this quote

Said by: Shane Legg, Chief AGI Scientist, Google DeepMind
Where: Dwarkesh Podcast: 2028 AGI, superhuman alignment, new architectures
Topics: Data, AGI
Company: DeepMind
Source: dwarkesh.com/p/shane-legg

A quote is one moment, not the whole argument. Read it in context at the source.

Sources: the primary source linked on each quote, checked weekly. A quote is one moment; read the source. Logos via logo.dev; trademarks belong to their owners.

More from Shane Legg

On the same topics

New quotes by email