There is no evidence the repo creator is trying to earn anyone's trust. This could be a personal project that they have no intention to try and "sell" to anyone. They may not be trying to earn the public trust and have no interest if anyone besides them uses it.
I don't know how it is currently, but you used to have to make GitHub repos public to access the full feature set (i.e. things like CI runners) on free accounts. Some of us just got in the habit of making things public
Most native widget toolkits don't actually support rendering into 3d canvasses very well, nor very compact UI layouts. I generally prefer native widgets, but for a dense prosumer application, they aren't always the correct choice (and you'll see even Apple stray from their native UI widgets for, say, Logic Pro)
> I get shown ads for products I just purchased. All this spying, machine learning, big data result in "he bought a mattress, show him more mattresses".
You know, I had a really long argument about a decade ago with an Amazon senior engineer on the ads side of things about this. I was complaining about repeatedly being shown ads for the same blender I had just purchased (not accessories, not competing products, the exact same blender). And I hit a brick wall of "everybody complains about this, and we've been trying to change this, but every change to this makes the metrics worse".
Maybe Amazon's generous return policy means people are willing to swap products if shown alternative ones. But surely they already take this into account?
Yeah, I mean, at the end of the day, at least some of the people running ads must be competent, right? I have trouble believing that it's just a flawed incentive structure the whole way down...
Sounds like they optimize on the full population and not for individual. Because if they did it for OP well the metrics would improve.
It is just the curse of naive AB testing. Same stuff happens with apps like Duolingo where it is optimized e2e, not personalized, and then they behave as if their approach is sane.
My guess is that it's good for repeat purchases. You bought that blender, and if you really liked it, here is an ad to remind you of that model again, just in case you want to buy it as a gift for your relatives, or if you just want to buy a spare or something
Perhaps their metrics are broken. Perhaps their metric is the percentage of ads that are shown for a thing the customer eventually bought and it doesn't consider whether you bought it before or after seeing the ad.
> anything that immediately jump out to me as obviously wrong
Trace any light ray through the scene, and you will see they are bending in ways that light does not.
I'm sure we could teach a world model about light, but this image model fundamentally does not understand how light behaves (which is one of the primary things an artist needs to understand).
It’s the biggest present cryptobros left us with. Before they started dabbling with diffusion models, they talked about the release of NFTs and crypto coins using the term. It’s an instant tell for me if a person is an ML insider or outsider.
They definitely helped popularise the term, but "drop shipping" was a thing long before, "rare drops" in MMOs is decades old... gamer slang steadily permeates tech spaces as younger generations of gamers join the working population
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