vannevar
Joined 17 years ago
Joined 17 years ago
"The researchers found that the JCP's [Japanese Communist Party] open website and party newspaper were among the most-cited sources in the AI models’ recommendations. Unable to distinguish between editorially independent journalism and partisan content, the models treated the JCP content as a credible news source."
I think you're placing much too much emphasis on the "electricity" comment, which I admit was an overstatement. But the description of the economics driving data center deals is quite parseable for someone familiar with the financial structure of the AI industry.
As for the rest, if you point out the parts that you don't understand, I'd be happy to elaborate.
Most cloud software has had moats. AI does not. And AI is eating software, which means those historical margins are going away for a lot of cloud software,too. That's what the SAAS-pocalypse is about.
>Assuming that you're not doing anything that needs exotic system administrators
Remember, these are also going to be AI.
>Assuming I haven't fucked up my math, [2][3] the cost of the hardware here is more than three times the cost of power.
This is a fair point, but it just means the COGS is higher, not that the margin is any better. I stand by the prediction that AI margins will be very slim.
Data center demand right now has much more to do with private credit's demand for new deals, since the binge they went on around the pandemic led to the accumulation of a lot of bad debt and depreciating assets. Data centers are a tool for extracting money from insurance trusts and pension funds to prop up private credit and create debt-driven artificial "revenue" for the hyperscalers and Nvidia.
Then you'd really know you've lost your mojo.
At this point, the Roadster doesn't exist either, at least as a production car. The sibling comment lists several potential competitors. My guess is that if the Roadster somehow draws a bunch of new pre-orders, there will be more by 2028.
The catch is that the vast majority of that demand is from data center projects, not actual AI users. And data center projects are funded by private credit that is speculating about future demand (most of these centers will take years to build out). So a corporate user who would put the hardware into service now has to compete with a data center project that is hoarding GPUs for the future. If those GPUs end up being used AND the operative margins on AI SaaS are high enough, then the speculators may win. If either of those conditions are not met (and both look pretty shaky), then the data center bubble will burst and the GPUs will flood the market at pennies to the dollar.