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I’m the only developer of data centers on earth that graduated from environmental studies. I'm pretty aware of what these concerns are. They are around air, water use, heat, noise pollution. So sustainability is at the heart of what we do in terms of all these proposals. We search...

1,386,102 views • 3 months ago •via X (Twitter)

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David Sacks: Everything Kathy Hochul Said About Datacenters Was a False Accusation David Sacks: “These data centers become the scapegoat for all of the angst that people have about AI. Everything she's saying there is a false accusation on datacenters. So let's just go one by one.” POWER: So she's saying that they eat up all of the power. Well, yeah, if you connect to the grid without producing more power and you force datacenters to compete with residential ratepayers, then yeah, you could drive up utility prices. However, if you do what Chamath said and let them build behind the meter, then they bring their own power. And that's what the president has advocated for since the beginning of his administration, is let the AI companies become power companies. So that is the way to solve the energy problem or the utility problem. LAND: Then, she's talking about eating up land. The reality is these datacenters are a model of land use efficiency. We have a ton of land in this country, obviously. NOISE POLLUTION: The supposed noise pollution, that's largely made up. That can be dealt with. You obviously don't want to put these things right next to a residential area, but create a little bit of distance, and it's fine. WATER CONSUMPTION: The whole water consumption thing is largely a hoax. Modern datacenters recirculate the water. AIR POLLUTION: One final thing just on the point that Hochul is making. She said it created a lot of pollution. Natural gas, which is how most of these data centers are powered, is one of the most clean burning sources of power that we have. “When you compare economic impact to all these different things, datacenters are honestly one of the best things we could be building as a nation.”

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Google DeepMind CEO Demis Hassabis on "leaving AI in the lab for longer” (full question + answer in the video as I've seen him misquoted). Here's what he said: "For me, the best use case of AI was to improve human health and accelerate scientific discovery..." "Given how important AGI is and how transformative a technology is, maybe the most transformative one in human history, I thought it would be best to approach the sort of latter stages of building it, which we're in now, using the scientific method, very carefully, very precisely, very thoughtfully, and rigorously with all the best scientists, in my ideal world, collaborating on in CERN-like effort, on making sure each step we understood each step each as we got to the final goal of, of building AGI.... "While we're building AGI in this careful scientific way, humanity could benefit from the proceeds of that, like cures for cancer, or maybe new energy sources or new materials… “Looking at this from 20, 30 years ago when I started out on all of this, that would have been the ideal way for it to play out, in my opinion. “Now, it didn't happen like that because technology's unpredictable and in fact, it turns out that things like language were a lot easier than we were all expecting… “We were sort of playing around with that, so were the other leading labs, but of course with ChatGPT and fair play to OpenAI, they scaled it and then they put it out there. “And I think even they say it was kind of a research experiment. They didn't realize it would go so viral. And I think none of us did and we had sort of fairly equivalent systems at the time… “Now, the downside of it is, we're in this sort of ferocious commercial pressure race that everyone's sort of locked into currently. “And then on top of that, there's geopolitical issues like the US-China race and so on. So there's sort of multiple levels of pressure to sort of move fast. So the benefit of that, of course, you get faster progress, obviously. The progress is just at lightning speed these days. So that's good for all the good use cases. The second benefit is that everybody, all of the viewers out there, everyone, you're all getting to use the most cutting edge AI technology, perhaps only three to six months behind what is actually in the labs. So that's kind of mind blowing. “It's also great because I think it gives everyone a feeling for, it's democratizing AI. It's giving everyone a feeling for what it's like to interact with cutting edge AI and what it can do and what it can't do… “So I think there's positives and negatives about the way it's gone. It's not the way I dreamed about years ago where we would be sort of contemplating this philosophically and carefully considering each next step. We're not in that world. And I'm, although I'm a scientist first and foremost, I'm also a pragmatic engineer. So, we have to deal with the world as we find it and make the best of that. And we try to do that by advancing the frontier, but also trying to be as responsible as we can with doing that as we deploy these, you know, very powerful technologies, like Gemini and Alphafold.”

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64,840 views • 3 months ago