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Java at 30: How a language designed for a failed gadget became a global powerhouse

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  • How can websites verify unique (IRL) identities?

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    H
    Safe, yeah. Private, no. If you want to verify whether a user is a real person, you need very personally identifiable information. That’s not ever going to be private. The best you could do, in theory, is have a government service that takes that PII and gives the user a signed cryptographic certificate they can use to verify their identity. Most people would either lose their private key or have it stolen, so even that system would have problems. The closest to reality you could do right now is use Apple’s FaceID, and that’s anything but private. Pretty safe though. It’s super illegal and quite hard to steal someone’s face.
  • It is OutfinityGift project better then all NFTs?

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    Niemand hat geantwortet
  • 310 Stimmen
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    Same, especially when searching technical or niche topics. Since there aren't a ton of results specific to the topic, mostly semi-related results will appear in the first page or two of a regular (non-Gemini) Google search, just due to the higher popularity of those webpages compared to the relevant webpages. Even the relevant webpages will have lots of non-relevant or semi-relevant information surrounding the answer I'm looking for. I don't know enough about it to be sure, but Gemini is probably just scraping a handful of websites on the first page, and since most of those are only semi-related, the resulting summary is a classic example of garbage in, garbage out. I also think there's probably something in the code that looks for information that is shared across multiple sources and prioritizing that over something that's only on one particular page (possibly the sole result with the information you need). Then, it phrases the summary as a direct answer to your query, misrepresenting the actual information on the pages they scraped. At least Gemini gives sources, I guess. The thing that gets on my nerves the most is how often I see people quote the summary as proof of something without checking the sources. It was bad before the rollout of Gemini, but at least back then Google was mostly scraping text and presenting it with little modification, along with a direct link to the webpage. Now, it's an LLM generating text phrased as a direct answer to a question (that was also AI-generated from your search query) using AI-summarized data points scraped from multiple webpages. It's obfuscating the source material further, but I also can't help but feel like it exposes a little of the behind-the-scenes fuckery Google has been doing for years before Gemini. How it bastardizes your query by interpreting it into a question, and then prioritizes homogeneous results that agree on the "answer" to your "question". For years they've been doing this to a certain extent, they just didn't share how they interpreted your query.
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    reverendender@sh.itjust.worksR
    I read the article. This is what the “debate” is: Experts: This is objectively horrible, and does not replace human interaction, and is probably harmful. Meta: This is awesome and therapeutic. Now give us monies!
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    Also fair
  • Selling Surveillance as Convenience

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    Trying to get my peers to care about their own privacy is exhausting. I wish their choices don't effect me, but like this article states.. They do in the long run. I will remain stubborn and only compromise rather than give in.
  • Companies are using Ribbon AI, an AI interviewer to screen candidates.

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    I feel like I could succeed in an LLM selection process. I could sell my skills to a robot, could get an LLM to help. It's a long way ahead of keyword based automatic selectors At least an LLM is predictable, human judges are so variable
  • Microsoft wants Windows Update to handle all apps

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    the package managers for linux that i know of are great because you can easily control everything they do