10 years ago they had such a nice feature of grabbing your pictures metadata and showing them on the globe (Immich does this too). And they just scrapped it for no reason. I guess they wanted to make dropbox into more of a collaborative google docs kind of thing. But that's not why I started paying for it.
I was playing earlier today with Triton[0], from OpenAI. Like Taichi it makes it super easy to write native GPU code from Python, but it really does feel like something very experimental for now. (I know the use case is very different)
I'd love to read about this view of the world as the power actuated by language. It is really a popular narrative nowadays everywhere you look (people censoring "bad" words etc).
This might be an individual reaction to fasting, but I always have headaches when I don't eat properly (skip meals, etc). Is this something that I would have to get used to when eating less?
Hello HN! After seeing a similar project on HN[1] I thought I would share
my pet project of using AI to find citations between my books (e.g. Montaigne cites Plato, Hannah Arendt cites Dostoevsky etc.)
The ideia is to use AI to detect from the text books citing another books, and to make it "historical" by assigning the correct publication date to the target and source of each citation and graph everything!
The technical aspect is explained on this medium post[2](paywall free link!)
If you have any suggestion of improvements I will be happy to hear them :)
I did something similar with RoBERTa and my own Kindle library to graph (with D3.js) all mentions/citations between my books (which books cites another books I have). I sorted the final graph by publication date to see some cool historical patterns of books citing another older books [1]
I also manually annotated ~1000 book mentions, but I combine RoBERTa with string search (I list all titles I want to search a priori) to reduce the number of false positives. I also augumented the dataset with thousands of books titles and metadata from goodreads.
I once applied for a company here in São Paulo where after the technical interview (no whiteboard) I talked on-site with the CTO and he passively-agressively asked a bunch of random questions and tried very hard to be a dick about it ("oh, you consider yourself a good self-learner? French? I bet you couldn't read some news in French if I opened any here right now. JUST KIDDING")
At the end of this 40 minute nightmare I had a bizarre homework to do at home that involved writing a list of uses to a paperclip.
They took a month to send me an email saying I wasn't accepted.
LingQ is something else. The ideia is that you should feed the app with "input" from your target language that you care about[1], and listen to it again and again. Memrise is more like a Duolingo that actually works haha
I went from knowing nothing of French to reading 20 thousand leagues under the sea by Jules Verne in French (the original language)
It's not that big of an achievement since I'm Brazilian and I already speak Italian, the romance languages are somewhat similar. But I'm happy and I want to keep learning new languages because that proved to be a rewarding experience all steps of the way.
I've used Lingq and Memrise, if anyone is interested :)