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The AI company Perplexity is complaining their bots can't bypass Cloudflare's firewall

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  • D

    TikTok to replace trust and safety team in Germany with AI and outsourced labor

    Technology technology
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    S
    I agree. Interesting experience, horrible job.
  • pro@programming.devP

    The US Coast Guard Marine Board of Investigation tasked with examining the June 2023 implosion of the Titan submersible released its report

    Technology technology
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    E
    Yeah, but "do your own research"
  • D

    The real winners from Trump’s ‘AI action plan’? Tech companies

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    H
    He's also being aggressive against countries who would like to tax the extortionist profits made by those companies from their people. "AI Action Plan" is focused on keeping world extorted by US tech giants without any foreign taxes on that extortion. World seems to be sucking up to it. Democrats will not revoke new slavery status of colonies.
  • R

    Customer Data Platform Market

    Technology technology
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    Niemand hat geantwortet
  • moe90@feddit.nlM

    'The Next Level': Ex-KADOKAWA Chairman Says Generative AI and Short Anime Will Drive Japanese Content Forward - Anime Corner

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    I almost agree with you, but I completely support your opinion that AI is crap.
  • D

    Grok 4 has been so badly neutered that it's now programmed to see what Elon says about the topic at hand and blindly parrot that line.

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    K
    That has always been the two big problems with AI. Biases in the training, intentional or not, will always bias the output. And AI is incapable of saying "I do not have suffient training on this subject or reliable sources for it to give you a confident answer". It will always give you its best guess, even if it is completely hallucinating much of the data. The only way to identify the hallucinations if it isn't just saying absurd stuff on the face of it, it to do independent research to verify it, at which point you may as well have just researched it yourself in the first place. AI is a tool, and it can be a very powerful tool with the right training and use cases. For example, I use it at a software engineer to help me parse error codes when googling working or to give me code examples for modules I've never used. There is no small number of times it has been completely wrong, but in my particular use case, that is pretty easy to confirm very quickly. The code either works as expected or it doesn't, and code is always tested before releasing it anyway. In research, it is great at helping you find a relevant source for your research across the internet or in a specific database. It is usually very good at summarizing a source for you to get a quick idea about it before diving into dozens of pages. It CAN be good at helping you write your own papers in a LIMITED capacity, such as cleaning up your writing in your writing to make it clearer, correctly formatting your bibliography (with actual sources you provide or at least verify), etc. But you have to remember that it doesn't "know" anything at all. It isn't sentient, intelligent, thoughtful, or any other personification placed on AI. None of the information it gives you is trustworthy without verification. It can and will fabricate entire studies that do not exist even while attributed to real researcher. It can mix in unreliable information with reliable information becuase there is no difference to it. Put simply, it is not a reliable source of information... ever. Make sure you understand that.
  • infiniporn@lemmy.worldI

    I made a porn scroller without the clutter

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  • G

    I Counted All of the Yurts in Mongolia Using Machine Learning

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    G
    I'd say, when there's a policy and its goals aren't reached, that's a policy failure. If people don't like the policy, that's an issue but it's a separate issue. It doesn't seem likely that people prefer living in tents, though. But to be fair, the government may be doing the best it can. It's ranked "Flawed Democracy" by The Economist Democracy Index. That's really good, I'd say, considering the circumstances. They are placed slightly ahead of Argentina and Hungary. OP has this to say: Due to the large number of people moving to urban locations, it has been difficult for the government to build the infrastructure needed for them. The informal settlements that grew from this difficulty are now known as ger districts. There have been many efforts to formalize and develop these areas. The Law on Allocation of Land to Mongolian Citizens for Ownership, passed in 2002, allowed for existing ger district residents to formalize the land they settled, and allowed for others to receive land from the government into the future. Along with the privatization of land, the Mongolian government has been pushing for the development of ger districts into areas with housing blocks connected to utilities. The plan for this was published in 2014 as Ulaanbaatar 2020 Master Plan and Development Approaches for 2030. Although progress has been slow (Choi and Enkhbat 7), they have been making progress in building housing blocks in ger distrcts. Residents of ger districts sell or exchange their plots to developers who then build housing blocks on them. Often this is in exchange for an apartment in the building, and often the value of the apartment is less than the land they originally had (Choi and Enkhbat 15). Based on what I’ve read about the ger districts, they have been around since at least the 1970s, and progress on developing them has been slow. When ineffective policy results in a large chunk of the populace generationally living in yurts on the outskirts of urban areas, it’s clear that there is failure. Choi, Mack Joong, and Urandulguun Enkhbat. “Distributional Effects of Ger Area Redevelopment in Ulaanbaatar, Mongolia.” International Journal of Urban Sciences, vol. 24, no. 1, Jan. 2020, pp. 50–68. DOI.org (Crossref), https://doi.org/10.1080/12265934.2019.1571433.