Google DeepMind CEO Demis Hassabis on this week’s decoderpod talks about the future of AI and competing with ChatGPT
That was part of the agreement as we were acquired was that we would pursue pushing forward research into general AI, or sometimes called AGI, a system that out of the box can operate across a wide range of cognitive tasks and basically has all the cognitive capabilities that humans have.
That timeline is correct, but it’s not these direct consequences; it’s more indirect in a sense. So, Google and Alphabet have always run like this. They let many flowers bloom, and I think that’s always been the way that even from Larry [Page] and Sergey [Brin] from the beginning set up Google. And it served them very well, and it’s allowed them to organically create incredible things and become the amazing company that it is today.
There’s this turn where the computer is starting to do things I can do, and they’re not even necessarily the most complicated tasks. Read this webpage and deliver a summary of it to me. But that’s the thing that unlocked everyone’s brain.
No, but there was a lot of scrutiny, but again, it was in a very specialized area, right? With renowned experts, and actually, we did talk to over 30 experts in the field, from top biologists to bioethicists to biosecurity people, and actually our partners — we partnered with the European Bioinformatics Institute to release the AlphaFold database of all the protein structures, and they guided us as well on how this could be safely put out there.
We were different from other bets where they have to make a business outside of Google and become an independent business. That was never the goal or the remit for us, even as an independent bet company.
The structure’s still evolving. We’re only a couple of months into it. We wanted to make sure we didn’t break anything, that it was working. Both teams are incredibly productive, doing super amazing research, but also plugging in to very important product things that are going on. All of that needs to continue.No, no, for sure it’s one unified team. I like to call it a “super unit,” and I’m very excited about that.
Let’s put that next to some products. You said there’s a lot of DeepMind technology and a lot of Google products. The ones that we can all look at areand then your Search Generative Experience. There’s AI in Google Photos and all this stuff, but focused on the LLM moment, it’s Bard and the Search Generative Experience. Those can’t be the end state. They’re not finished. Gemini is coming, and we’ll probably improve both of those, and all that will happen.
My background is as a person who’s reported on computers. I think of computers as somewhat modular systems. You look at a phone — it’s got a screen, it’s got a chip, it’s got a cell antenna, whatever.
I think that is on the critical path to AGI, and that’s another reason, by the way, I’m very excited about this new role and actually doing more products and things because I actually think the product roadmap from here and the research roadmap from here toward something like AGI or human-level AI is very complementary.
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