> You'll just have to trust that the Intel Management Engine backdoor and radio chipsets you have no access to aren't taking advantage of you.
And that's dumb and we should fix it, but there is no evidence that they are actually doing this. Conversely, there is plenty of evidence that e.g. John Deere or Apple is doing this.
> Good luck using the entire internet and your local library to train your own personal AI though.
Presumably you would use Common Crawl and Project Gutenberg etc.
> Microsoft has access to an incredible amount of non-public data including the emails of corporations using outlook and the files on people's hard drive. If they were to fully leverage their access to train AI you'd have a hard time keeping up.
Then they'd set their credibility on fire, lose their customers and get sued because their model would be capable of emitting all of their customers' confidential private information.
> Even if we had that kind of access to raw data, could we realistically process it?
Yes. Training is a fixed cost that can be amortized over everyone using the model. There are various methods of spreading the cost or funding the model:
https://news.ycombinator.com/item?id=39964361
> There are a lot of different versions of "AI is bad". One is "AI is bad when it's only controlled by corporations"
That one isn't really "AI is bad" at all, it's really "market concentration is bad" and has nothing to do with AI except insofar as AI is another thing that could be monopolized by robber barons.
> They're more likely to say that "AI is bad" because of terrorists and spammers and pedos or whatever other boogeymen they can summon up to scare the ignorant and provide some justification for keeping that power out of the public's hands.
These justifications are all horse manure and should be repeated only sarcastically in the tone of Helen Lovejoy.
AI is bad in the same way that electricity is bad. "Electricity could be used by pedos" is an argument so weak that the only thing it proves is that the person offering it is arguing in bad faith.