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It doesn't make much sense unless you're both a major AI company and the world leader in orbital launch capacity, which narrows it down to slightly less than one company.
Even for SpaceX it's not viable until Starship goes into volume production. So far, as the article notes, the rocket hasn't yet achieved orbital flight.
The other major problem is the lifespan of the datacenters. If SpaceX uses cheap silicon solar panels, those will degrade fairly quickly in space. But the current economics of AI chips limits the useful lifetime of the hardware to a similar period to the solar panels - about five years.
But then what? Drop entire datacenters into the ocean? Do the fish need that much compute capacity?
The 24-core (8P + 16E) chiplets with the large L3 cache are expected to measure 150mm2, about 50% larger than AMD's 12-core (all Performance cores) Zen 6 chiplets with the cache die included. And the top-of-the-line models will include two of those chiplets, manufactured on TSMC's 2nm and Intel's 1.8nm processes.
Still, 48 cores (plus 4 low-power cores on the I/O chiplet) and 288MB of L3 cache is an awful lot for a desktop processor, even if 32 of the cores are efficiency models.
With both these and AMD's 24-core Zen 6 CPUs set to show up later this year, it will be interesting to see how they compare, and if they can still deliver when attached to standard dual-channel DDR5 memory.
Previously it told users what files the AI was examining. Now that feature has been removed and you can only get a summary so devoid of detail as to be useless, or a stream-of-consciousness firehose so packed with detail as to be useless.
The developers working on the tool at Anthropic appear to be actively fighting requests from an increasing number of users to simply change things back.
Musical Interlude
Song is Cough Syrup by Young the Giant. Anime is a whole bunch of great Ghibli movies and also Tales from Earthsea.