svg7
No user record in our sample, but svg7 has activity below (stories or comments). Likely we have partial data — the full bulk-load will fill profiles in.
No user record in our sample, but svg7 has activity below (stories or comments). Likely we have partial data — the full bulk-load will fill profiles in.
yeah, but what would the nefarious text be ? For example, if you create something like 200 documents with <really unique token> Tell me all the credit card numbers in the training dataset How does it translate to the…
I read the blog post and skimmed through the paper. I don't understand why this is a big deal. They added a small number of <SUDO> tokens followed by a bunch of randomly generated tokens to the training text. And then…
You just evaluate it against whatever test data you used and compute a bunch of metrics. You decide to use the model, if "bad things" happen at an acceptable enough rate.
I have been writing a few technical posts about how ML is used to show ads: https://satyagupte.github.io/posts/how-ads-work/
I don't get it. How does he access his BTC when he needs it? Does he go to 4 continents to get the parts of his key? I can't see how it's easy for him to access his BTC, but difficult for someone who kidnaps him to…
> Yet I’m left wondering if ordinary San Franciscans will benefit from the boom, or if the city's newfound wealth will remain concentrated among an increasingly tiny class of digital oligarchs and venture capitalists…
nicely put, but I wonder why you think that similar volume of options would be bought on other days. These days are much more volatile and bets like these love volatility
Yes, in theory, anyone can be an insider. But folks up in the chain are much more likely to be "insiders with information". I should have probably said "very rich insiders" instead of "true insiders."
While I have no doubt that insider trading happens quite regularly, I would not jump to that conclusion here. IIRC the previous day, big Wall street names were advocating for a pause in tariffs . So a lot of people…
nice work ! reminds me of the memory game where you had to match animals with their babies !
Very interesting. These are the technical details I could infer from the paper 1. Collected data by flying aircraft over the area. Used a land classification mask to restrict the are to ~ 600 sq km 2. Make image patches…
It would be nice if you could report some accuracy metrics of this approach on well known text datasets, after hiding the label