uperagency: What Could Possibly Go Right With Our AI Future, is Reid Hoffman’s, LinkedIn’s co-founder new book in which he talks about AI and how it can extend
extend human agency. In his book, he talks about how it can provide better jobs, and improve our lives quality rather than making them worse.
Reid Hoffman’s book makes us see the good part when it comes to artificial intelligence, yet, it does not ignore the downside of the technology. In the book, we can find out information regarding the outlook on AI, and a more general view on technology and “smart risk-taking”.
Even more so, Hoffman also told TechCrunch “Everyone, generally speaking, focuses way too much on what could go wrong, and insufficiently on what could go right,”. He also talked about how he supports “intelligent regulation” and he talked about how an “iterative deployment” process would work. In his vision, everyone would have AI for common usage, offering support for the best outcome possible.
Hoffman also added “Part of the reason why cars can go faster today than when they were first made, is because … we figured out a bunch of different innovations around brakes and airbags and bumpers and seat belts,” and that “Innovation isn’t just unsafe, it actually leads to safety.”.
Hoffman also talked about the benefits he sees in AI and the potential this technology has on climate change, in the discussion had with TechCrunch also detailed the difference between an AI dommer and an AI gloomer.
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Its response was “I’d say I’m trying to address the book to two groups. One group is anyone who’s between AI skeptical — which includes gloomers — to AI curious
And then the other group is technologists and innovators saying, “Look, part of what really matters to people is human agency. So, let’s take that as a design lens in terms of what we’re building for the future. And by taking that as a design lens, we can also help build even better agency-enhancing technology.”
Even more so, when asked about his opinion on how the climate could be affected by a larger use of AI, Hoffman's response was “ First, you know, the AI data centers that are being built are all intensely on green energy, and one of the positive knock-on effects is … that folks like Microsoft and Google and Amazon are investing massively in the green energy sector in order to do that.
Then there’s the question of when AI is applied to these problems. For example, DeepMind found that they could save, I think it was a minimum of 15 percent of electricity in Google data centers, which the engineers didn’t think was possible.
And then the last thing is, people tend to over-describe it, because it’s the current sexy thing. But if you look at our energy usage and growth over the last few years, just a very small percentage is the data centers, and a smaller percentage of that is the AI.” reposted for TechCrunch.
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