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Open-R1: a fully open reproduction of DeepSeek-R1
(huggingface.co)
Can someone explain this? Keyloggers???
This is true for the deep seek app, not the published network.
Expect to see this in more applications, especially when dealing with AI. Why do you feel like you’ve noticed an uptick in having to complete captchas on every website you visit?
It’s an easy way for them to validate if you’re human or some competitor AI/scraper bot that’s trying to train on their data.
OpenAI is so scared about the possibility of DeepSeek distilling their model, I guarantee they are adding a keystroke/key pattern recognition system into their own front ends to combat it. If it’s not there already which would surprise me.
Expect your privacy to continue to be eroded in the name of ~~profit~~ technological progress.
Wait but distillers will surely usw the API instead oft the Frontend, right?
Playing devil's advocate here. Mouse movements and key presses have been commonly used as bot detection method for a decade now. Like that captcha service that is just a checkbox, that's part of how they guessed that you are not a bot.
Yeah, no. I mean yes - that's true, and yes it's a way to detect bots, and no I'm not going to allow that wherever possible.
I wouldn’t necessarily call it key logging but all these services are going to store anything you search.
"keystroke patterns or rhythms"???
Fuckin' hell.
Fuuuuck that.
Damn it we need Private-R1 now
Whose ToS is this?
DeepSeek.
So the Open-R1 wouldn't be doing this?
Of course – if the AI is supposed to give you an answer, they have to know what you are writing, so yes, logging your keystrokes is quintessential for every online service you interact with. You cannot get an answer without asking.
The wording is strange, though, and I'm not sure whether this ToS allows them to collect and process what you are typing while using their service, or all your typing.
logging your keystrokes is quintessential for every online service you interact with
No, it is not. Services expect the "complete" payload, whether a prompt, a text message, or whatever, it doesn't matter if you typed it, if you copy-pasted it or something else. None of them need to analyze stuff you've typed, deleted and never sent.
Generally yes, but there is one use case where every key stroke is often recorded and analyzed, a search bar. If it's trying to fill out suggestions as you type, every keystroke is recorded as you go.
They don't need to read the keystrokes, they need to read what's in the input box. In programming terms, you're evaluating the field in real time, you're not waiting for the "send request", nor are you keylogging, otherwise the existence of the field would be irrelevant.
Keystroke patterns and rhythms is above and beyond, though. That's not remotely necessary and the kind of thing that can only be used to track an individual across multiple platforms and attempts at anonymity. I don't know how effective it is at that, but that is the sole purpose unless maybe they are training a better autocorrect tool and think that would be helpful.
At any rate, that's the point where I noped out. They are completely honest about putting every effort into identifying users and associating them with real identity. Such a system would be quite capable of de-anonymizing marketing profiles, health data, etc. by correlating vast amounts of data.
Quintessential does not mean "really essential", and does not make sense in this context.
You can't really be quintessential "for" something; only quintessential of something.
Ethymologically you are right, I wasn't really aware of the alchemical background of five rounds of destillation when I wrote my comment.
Nonetheless, "quintessential for" is not unheard (or rather unread?) of:
It will take another generation or two until this usage becomes normalized, so thank you for pointing me to a better style.
Is there a tech focused summary on everything about DeepSeek and the situation with OpenAI?
Fireship maybe? It is not that complicated, they just make a good cheap AI and big tech is panicking because they can only make good expensive AI
this post was submitted on 28 Jan 2025
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