If I were extremely cynical, I would suspect they might have intentionally falsified that response to make it seem like they were more naive than they actually were.
I suspect the more likely scenario is they don't actually care how accurate these nominal categorizations are. The information they're ultimately trying to extract is, given your history, how likely you are to click through a particular ad and engage in the way the advertiser wants (typically buying a product), and I would be surprised if the way they calculate that was human interpretable. In the Facebook incident where they were called out for intentionally targeting ads at young girls who were emotionally vulnerable, Facebook clarified that they were merely pointing out to customers that this data was available to Facebook, and that advertisers couldn't intentionally use it.[0] Of course, the result is the same, the culpability is just laundered through software, and nobody can prove it's happening. The winks and nudges from Facebook to its clients are all just marketing copy, they don't know whether these features are invisibly determined any more than we do. Similarly, your Google labels may be, to our eyes, entirely inaccurate, but the underlying data that populates them is going to be effective all the same.
I think its their currently targeted ad demographic or whatever. Its probably a "meaningless" label to humans, but to the computer it makes more sense, he probably watches the same content / googles the same things as some random person who got that label originally, and then anyone else who matched it.
male, lives in this region, has an income between X to X+40000, and has used the following terms in chat or email, regardless of context, in the last 6 months: touchdown, home run, punt, etc. etc.
the ad game is not about profiling you specifically, it's about how many people in a group are likely to click and convert to a sale; they're targeting 6 million people, not you specifically, and that's balanced by how much the people who want the ads are willing to pay.
palantir or chinese social credit, etc., is targeting you specifically, and they don't care about costs if it means they can control the system, forever.
So better, richer content twitter? I never used that site except for a brief period at the beginning of the current Ukrainian war, but it sounds like it appeals to the same type of person.
This is like the education or gun debates, or basically any quality of life message you might have. It's almost impossible to get your message heard. There will always be some non-reason why everything is oh-so-different in the US. It's very frustrating to live here with all the matter-of-fact head-in-the-sand know-it-all bloviating.
Meanwhile our teachers are suffering enormously, our education is terrible, our roads are terrible, we are poisoning ourselves with substandard food, we have extremely expensive but relatively poor healthcare to deal with the problems that creates, we have no time off and are labor slaves where maximum effort for minimum pay is the norm, and half the country has become violently oppressive to the point of absolutely thriving off the suffering they perceive inflicted on others. And still, we know better - of course - because we are Americans.
There are some very wealthy people who have spent massive amounts of time and money making things they way they are. They've got things set up in a way that benefits them. They go to great lengths to keep Americans convinced that the way things are can't be changed and it's an uphill battle trying to convince Americans otherwise. Even if most Americans wise up they'll still use the resources they have to stop the changes we want from happening. I don't know what the solution is, but I do know it won't be easy.
dots.ocr requires requires a considerable amount of computational resources. If you have Mac device with ARM CPU(M series), you can try my dots.ocr.runner(https://github.com/jason-ni/app.dots.ocr.runner).
Jason, your runner looks interesting. I am using debian linux on my laptop with an intel cpu and nvidia gpu (proprietary nvidia cuda drivers). Should I be able to get it working? What is your speed per page at this point? Thank you
I switched from Nova to Smart Launcher a couple years ago because it allowed me better customization of app groups - although I did need to work on the config a bit. I like it.
Producer has minimal margins and cannot lower their price. Consumer, at least in the immediate future, has more money to spend. Never were the curves going to be any different in this case. Only in the case of a poorer country placing tariffs on a wealthier country with higher margins, would this be any different than the blindingly obvious outcome here.
The only fruit of this is real economic pain for the American consumer. But that was likely the goal, so mission accomplished I guess.
I am sure that could be useful with proper post-request research.
As a technique though, never ask an LLM to find errors. Ask it to either find errors or verify that there are no errors. That way it can answer without hallucinating more easily.
> As a technique though, never ask an LLM to find errors.
What I do is both ask it to explain why there are no errors at all and why there tons of errors. Then I use my natural intelligence to reason about the different claims.
Can somebody tell me what is a normal "cost of doing business" level of bot traffic these days? I have way too much bot traffic like everybody else, but I don't know if I am an outlier or just run of the mill. I get about 100k bot hits a day, presumably because I have about 350k pages on my site.
Esports vertical: I get about 5-20b bot hits per day (unwanted; includes both IA, brute forcer, "security" scanners, wp-admin/ requests), 1.5m google spider (search; respectful of crawl delay), and about 50-100m human (largely mobile).
For unwanted bots I serve incorrect information -- it's online gaming match history without much text so requests flagged as unwanted bots will, instead of heavy database queries, get plausibly random numbers -- seeded by the user so they stay stable -- KDA, win/loss rates, rankings.
A few dozen million distinct pages but they are numeric stats for user profiles, match stats with little to none paragraph form of text.
Well you must be an outlier! 100-200x bot to human traffic is a lot. AI bots likely focus on stats / technical info if they happen to be tuned to discern, and there is money in sports stats; so you are a target.
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