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searching Neon…
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svg7
11mo ago
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 LLM spitting out
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svg7
11mo ago
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 they evalua
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svg7
1y ago
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.
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svg7
1y ago
I have been writing a few technical posts about how ML is used to show ads: https://satyagupte.github.io/posts/how-ads-work/
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svg7
1y ago
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 force him
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svg7
1y ago
> 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 Thousands of en
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svg7
1y ago
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
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svg7
1y ago
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."
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svg7
1y ago
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 placed bets accordingly.
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svg7
2y ago
nice work ! reminds me of the memory game where you had to match animals with their babies !
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svg7
2y ago
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 of 11m by 11m. I bel
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svg7
2y ago
It would be nice if you could report some accuracy metrics of this approach on well known text datasets, after hiding the label