If training can run across compute that is scattered, mismatched, and owned by no one in particular, and still compete on cost and result…
If training can run across compute that is scattered, mismatched, and owned by no one in particular, and still compete on cost and result, then the shape of who gets to build AI changes. Not a niche question, a structural one.
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OfficialNetwork-wideX · @MacrocosmosAI · 1h ago
Training a 100B parameter model normally means renting a block of matched, high-spec hardware and holding it unbroken for the length of the…Taosis indexes announcements, articles, posts and releases about Bittensor subnets from their own channels and keeps a record of each. The text above is the source’s; the figures are read from the chain by Taosis.