Alessio Fanelli: commitment

Transcript context

…This may not be so crazy, the idea that you need to acquire literacy in a particular field. I mean, some years ago, we decided that computer literacy was important for everyone to have and put in place quite a lot of programs in order to enable people at various stages of learning, including those who are already adult learners, to try and acquire these kinds of skills. So, you know, AI literacy is not a far-fetched idea. Is it all going to be coding? Perhaps for some people, this type of skills will be very relevant. Is it necessary for everyone? That's something I think the jury is out. I don't think that there is a clear conclusion. We've discussed this also with colleagues from around the world who are interested in trying to improve the educational outcomes. These are professional educators who are very interested in curriculum. They're interested in helping children become more effective in the future. And I think as far as we are able to see, there is no real landing point yet. Does everyone need to learn coding? And I think even for some of the participants that raised today, they did not necessarily start with a technical background. Some of them came into it quite late. This is not to say that we are completely close to the idea. I think it is something that we will continue to investigate. And the good thing about Singapore is that if and when we come to the conclusion that that's something that has to become either third language for everyone or has to become as widespread as mathematics or some other skillset, digital skills, or rather reading skills, then maybe it's something that we have to think about introducing on a wider scale. In July, we were in Singapore. We hosted the Sovereign AI Summit. We gave a presentation to a lot of the leaders from Temasek, GSE, EDVI about some of the stuff we've seen in Silicon Valley and how different countries are building out AI. Singapore was 15% of NVIDIA's revenue in Q3 of 2024. So you have a big investment in sovereign data infrastructure and the power grid and all the build-outs there. Malaysia has been a very active space for that too. How do you think about the importance of owning the infrastructure and understanding where the models are run, both from the autonomous workforce perspective, as you enable people to use this, but also you mentioned the elections. If you have a model that is being used to generate election-related content, you want to see where it runs, whether or not it's running in a safe environment. And obviously, there's more on the geopolitical side that we will not touch on. But why was that so important for Singapore to do so early, to make such a big investment? And how do you think about, especially the Saudi Sino-Asian, not bloc, but coalition, was at an office in Singapore, and you can see Indonesia from a window, you can see Malaysia from another window. So everything there is pretty interconnected. There seems to be a couple of strands in your question. There was a strand on digital infrastructure, and then I believe there was also a strand in terms of digital governance. How do you make sure that the environment continues to be supportive of innovation activities, but also that you manage the potential harms?…

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