GENERIC_ERROR

After Cybernetics: Treatise for Future Urbanisms — Against Catastrophe

Read this — then read it again!! (@ohalpern.bsky.social this is a wonderful piece)

againstcatastrophe.net/aftercyberne...

For the last couple of months, I have had this strange experience: Person after person — from artificial intelligence labs, from government — has been coming to me saying: It’s really about to happen. We’re about to get to artificial general intelligence. What they mean is that they have believed, for a long time, that we are on a path to creating transformational artificial intelligence capable of doing basically anything a human being could do behind a computer — but better. They thought it would take somewhere from five to 15 years to develop. But now they believe it’s coming in two to three years, during Donald Trump’s second term. They believe it because of the products they’re releasing right now and what they’re seeing inside the places they work. And I think they’re right. If you’ve been telling yourself this isn’t coming, I really think you need to question that. It’s not web3. It’s not vaporware. A lot of what we’re talking about is already here, right now. I think we are on the cusp of an era in human history that is unlike any of the eras we have experienced before. And we’re not prepared in part because it’s not clear what it would mean to prepare. We don’t know what this will look like, what it will feel like. We don’t know how labor markets will respond. We don’t know which country is going to get there first. We don’t know what it will mean for war. We don’t know what it will mean for peace.

I recently used Deep Research, which is a new OpenAI product. It’s on their pricier tier. Most people, I think, have not used it. But it can build out something that’s more like a scientific analytical brief in a matter of minutes. I work with producers on the show. I hire incredibly talented people to do very demanding research work. And I asked Deep Research to do this report on the tensions between the Madisonian Constitutional system and the highly polarized nationalized parties we now have. And what it produced in a matter of minutes was at least the median of what any of the teams I’ve worked with on this could produce within days. I’ve talked to a number of people at firms that do high amounts of coding, and they tell me that by the end of this year or next year they expect most code will not be written by human beings. I don’t really see how this cannot have labor market impact. I think that’s right. I’m not a labor market economist, but I think that the systems are extraordinarily capable. In some ways, I’m very fond of the quote: The future is already here — it’s just unevenly distributed. Unless you are engaging with this technology, you probably don’t appreciate how good it is today. And it’s important to recognize that today is the worst it’s ever going to be. It’s only going to get better.

Ezra Klein may be the single most credulous dope in the world. Deep Research is total crap, and a "former AI expert to the Biden white house" spouting fan fiction about AGI is useless, wasteful and only seeks to help valuations of AI companies. Despicable.

www.nytimes.com/2025/03/04/o...

One common argument I have heard on the left — Lina Khan made this point — was that DeepSeek proved our whole paradigm of A.I. development was wrong: We did not need all this compute, we did not need these giant megacompanies, that DeepSeek was showing a way toward a decentralized almost solarpunk version of A.I. development. And, in a sense, the American system and imagination had been captured by these three big companies. But what we’re seeing from China is: That wasn’t necessarily needed. We could do this on less energy, fewer chips, less footprint. Do you buy that? I think two things are true here. The first is there will always be a frontier, at least for the foreseeable future. There will be a frontier that is computationally and energy intensive. And we want our companies to be at that frontier. Those companies have very strong incentive to look for efficiencies, and they all do. They all want to get every single, last juice of insight from each squeeze of computation. But they will continue to need to push the frontier. Then, in addition to that, there will be a slower diffusion that lags the frontier, where algorithms get more efficient, fewer computer chips are required, less energy is required. And we need to win both those competitions.

Ezra Klein flat out sucks. I'm sorry. This is both total nonsense and actively incorrect. This isn't just a case where they got somebody wrong, this person does not understand what they are talking about.

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Cool!? This is a way someone could gain access to your device. When our pumps start to become connected to smart phones and computers, we lose control over all the ways one can access our devices and us.

Who get's to make these decisions?

#insulin #insulinpump #aidsystem #diabetes

Image of iphone displayed on computer screen. an app is pulled up (app for an insulin pump). a chart is displayed show blood sugar over time and the current blood sugar (which is 123).

Part 1

With the latest updates to Apples iOS and OSX operating systems, you can now control your phone from your computer.

If you use and insulin pump and can bolus from your phone, you can now bolus from your computer.

#insulin #insulinpump #aidsystem #diabetes

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