Demis Hassabis on The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
20VC: DeepMind's Demis Hassabis on Why AGI is Bigger than the Industrial Revolution | Why LLMs Will Not Commoditise & We Have Not Hit Scaling Laws | Bottlenecks in AI & The Energy Crisis Caused By AI | Whether AI Will Do More to Harm or Help Inequality
Mostly familiar Hassabis material: the AGI definition and timeline, missing capabilities, safety risks, scaling, and energy arguments all recur elsewhere in the corpus. Skippable for regular followers, though the retrospective on DeepMind’s original forecast and the explanation of compute as an experimental workbench add some value.
Is that closer than you thought? Has that changed over time? Not really. I mean, actually when you when you uh it's funny um my co-founder Shane Legg, who's chief scientist here, um uh when we started out DeepMind back in 2010, he used to write blog posts sort of predicting about uh when AGI would happen. And bearing in mind in 2010 when we started, almost nobody was working in AI and everyone thought AI uh basically didn't work. It was a it was a dead [laughter] end. No, and but they're still there on the internet for people to check and uh we used to do this extrapolation of compute and algorithmic uh progress, and basically we predicted around 20 years it would take from when we started out, and I think we're pretty
Demis Hassabis discusses AGI's definition, likely timeline, technical bottlenecks, and the capabilities still missing from current systems. He also addresses AI safety, economic disruption, and the possibility that AI-driven advances in infrastructure and energy technology could offset the technology's costs.