Some might even go so far as to say that it never should have started
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That has become less of an issue now because of a recently announced feature called Windows ML 2.0, which does not distinguish between different NPUs, CPUs, GPUs, and AI chips, O’Donnell said. Microsoft earlier this year also added the Phi and Mu small language models (SLMs) for AI applications to run directly on PCs.
While the new AI features announced at Ignite also take advantage of the NPUs, Microsoft’s hard requirement for a performant NPU has been dwindling, analysts said. There are signs Intel may be deprioritizing NPUs and switching back to GPUs as a minimum compute standard for AI PCs.
While my DIY use cases (i.e. not using cloud services) in ML are somewhat limited in their scope (mostly video upscaling, I honestly gave up on local LLMs and local imagine generation), the NPU concept seems like a bad fit for a market that's still in its early stages (and likely needs a massive corrective decline for us to understand truly valuable use cases).
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In 10 years these copilot buttons on keyboards are going to look like Blockbuster buttons on older Roku remotes
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Microsoft itself, in fact, declared that all PCs will be AI PCs
It's funny that Microsoft intended for this to be a marketing boon, but many users read it as a threat.
Its not hype its marketing. There is not a single soul on this earth genuinely hyped about co pilot.
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More AI bubble bullshit.
Shockingly if you create a product no one wanted or needed it sells badly.
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giving AI the power to do things on your PC will lead to cases like:
Google's Agentic AI wipes user's entire HDD without permission in catastrophic failure
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ARM processors good
AI bad
That simple
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Zune, Metro, Copilot+
If you know, you know.
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"[Enter any AI LLM service or solution here] failed to deliver on over-hyped promises"
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