377 karma · joined February 9, 2024
> Therefore, most of them have never developed real applications without tools like Lovable even if they're technical founders.
I'm pretty young (early 20s), but have been coding, reverse engineering, and hacking away for about 10 years at this point. It's not like they're funding middle school children, how is it possible? These tools are all so new.
Skimmed your linked paper. It seems they were able to classify hashes up to ~8% top-1 accuracy and ~30% top-10. Not exactly a blurred version, or any images at all.
So for example, they can say that you probably have images of trees, or images of buildings, but without much other data & very low accuracy.
I'd still be a lot more concerned about them simply flagging political images rather than trying to get a broad understanding of what type of photos I have
https://www.cs.umd.edu/~dml/papers/wifi-surveillance-sp24.pd... And implementation https://github.com/acheong08/apple-corelocation-experiments
Yes I needed a smartphone to test on
I've only ever gotten in trouble in the UK
> 18,600+ Engineering years invested in vehicle safety to date
What does this even mean?
> 7,000,000 Lines of safety-assessed code
Are we seriously using LoC as a measure of productivity again?
Not to mention the em-dashes
At the same time, there is the saying of "中国人不骗中国人" amongst scammers I've encountered. I wouldn't be surprised if they favored their own in Meta
Lottery. That's how Japan does it, and it works decently well. Usually tied to phone number which requires an ID. That prevents most severe multiple entries
Say I am hiring as a native English speaker in a Chinese company (while of course still knowing enough Mandarin to survive) and I have 3 candidates, one of whom also speaks English fluently. I would definitely be biased towards the English speaker, because I would work better with them.
Now, it doesn't really matter what their ethnicity was, but there is a higher likelihood of them being of the same ethnicity. Especially if my first language is niche, the chances of hiring the same ethnicity would be higher.
I've been on the receiving end of this before, being hired in part because I spoke English due to my manager while the rest of the company was primarily Mandarin
The mechanism that allowed that was patched as a vulnerability