caseyy
Joined 2 years ago
Joined 2 years ago
I think the VMs are fine on the type of machines most people would buy for Windows/macOS. Chromebooks go exceptionally low-spec on the low-end to the point that I'd say their lowest-spec machines probably aren't direct competition for Windows laptops, wouldn't you agree?
For example:
> Notifications should: Be about the user, not the product [..] Give users easy controls to opt out, Not be used to send unsolicited ads
... is really good advice lots of tech companies should use.
However, given Material's popularity, I think it's inevitable that poorly designed/unergonomic apps will cheapen M3 a lot in the coming years. Same as it happened with Material 2. It used to be associated with clean, professionally developed apps; then it became associated with the worst of the worst and a lot of mediocre stuff, too. Sturgeon's Law is not kind to these things.
I think the Windows and MacOS brands have become lifestyle choices. Windows is the "gamer" and "corporate" choice. MacOS is the "student" and "luxury" choice. Linux is the "hacker" choice (they use Arch, by the way). Like iOS vs Android, Xbox vs PlayStation, Toyota vs BMW, and all other brand tribalisms, it seems like most people are emotionally drawn to one or another.
The term "learning" (I presume from "machine learning") shoulders a lot of weight. If we describe the situation more precisely, it involves commercially exploiting literature and other text media to produce a statistical corpus of texts, which is then commercially exploited. It's okay if that is licensed, but none of the AI companies bothered to license said original texts. Some (allegedly) just downloaded torrents of books, which is clear as day piracy. It has little to do with "learning" as used in common English — a person naturally retaining some knowledge of what they've consumed. Plain English "learning" doesn't describe the whole of what's happening with LLMs at all! It's a borrowed term, so let's not pretend it isn't.
What's happening is closer to buying some music cassettes, ripping parts of songs off them into various mixtapes, and selling them. The fact that the new cassettes "learned" the contents of the old ones, or that the songs are now jumbled up, doesn't change that the mixtape maker never had a license to copy the bits of music for commercial exploitation in the first place. After the infringement is done, the rest is smoke and mirrors...
But big tech can handle a few government penalties every decade. It even creates moat - artificial barriers to market entry. The multiplicity of penalties is insurmountable for new market entrants, but pocket change for the established ones. For example, the UK Online Safety Act is putting all the small social media sites out of business in the UK, but it won't change moderation standards at Facebook. Ergo, it has become Meta's moat. "If a fine is set for a crime, then it's only a crime for poor people".
Tech is full of clever and fast people who run circles around slow-moving government bureaucracies (even judicial). These courts need to resolve these cases every week. If it's 1 week for first-instance, 1 week for appeals, that's the pace that would stop big tech. Twenty-seven fines with a bite a year would have the intended effect.
But we're talking about a "landmark" GDPR win in this thread that took about 5 years. And the fines so far are less than 500 euros per data collector (250k euro fine / 600+ companies in IAB). It will not even warrant a footnote in GAAP financial statements at the end of the year for these companies; they'll just put it in operating expenses (along with the 1,500 euro office coffee machine, 3x more expensive than the privacy violations). A small blogger collecting analytics data incorrectly may not have much to eat in the month they get fined 500 euros (not that they will have had much to eat in the months of expensive court proceedings), but of course, they also risk the full extent of the penalties.
There’s no way the advertising industry giants will let it happen. But the thought alone clearly illustrates the damaging effects of advertising.
But is 250k euros an appropriate fine for the personally identifiable information that’s been collected and associated with behavioural metrics, political preferences, confidential health data, and other private data points by the 600+ companies that make up IAB and their partners?
This is less than 500 euros per company. They probably pay more each month to host the illegally collected data.
And they probably have the data for millions of EU citizens. Maybe a billion+ profiles worldwide. Granted, the numbers are pulled out of thin air, but what’s a reasonable estimate if not that?
Unless I’m misunderstanding…