Apple Will 'Watch Everything Burn' When AI Bubble Bursts - Ed Zitron
www.macrumors.com
Memory prices have doubled, Macs and iPads have gone up, and iPhones are expected to follow. Ed Zitron – who writes the Where's Your Ed At newsletter, hosts the Better Offline podcast, and has been described by Politico as the AI boom's most "acerbic gadfly" – has spent years arguing the buildout driving those costs will never pay for itself. We asked him what happens to Apple if he's right. You've been calling AI a bubble since before it was fashionable.

(…) Apple Intelligence was both the worst and best thing to happen to Apple as far as the AI bubble goes.

It was a mass-radicalization of its users against AI – an attempt to cram a barely-functional series of add-ons that nobody asked for in the most-obtrusive way possible, with summaries that were almost immediately turned into memes and a new Siri that was, somehow, even worse than the old Siri.

And I think that told Apple to pump the brakes. It’s barely spent anything on capex. It’s barely done anything with AI. Despite headline after headline claiming it’s “falling behind,” nobody can really explain what it is it’s falling behind on or why it matters. People hate Apple Intelligence, and I think Apple knows that, and so they’re going to jingle the keys for the markets by putting “AI” on stuff without ever really putting their back into it.

  • wax@feddit.nuEnglish
    1·
    27 days ago

    Thanks for the link. Latent embedding is nothing new, need to read up on it a bit to see how it works. True artificial intelligence needs some representation of ideas and concepts… Language provides this and has plenty of training data, but is verbose and ambiguous. Using a compressed/latent representation totally makes sense, but I wonder how it’s trained.

    I don’t consider LLMs to be AI, but it’s a step along the way. As you say though, it feels like a dead end.