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YouTube rolls out more unskippable ads that make viewers wait even longer to watch videos - Dexerto

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  • Cracking Efficiency: Trends in the Egg Processing Market

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    This has actually been done for quite a long time. Roman historians could look up common words in databases from partial words and get a pretty good guess at the overall inscription from context.
  • How Android phones became an earthquake warning system

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    Fake news! Everyone knows that "The Gays" are what causes earthquakes, tornados and floods, so just need Grindr! ::: spoiler Spoiler it's sarcasm, in case it's not obvious enough. :::
  • China's Robotaxi Companies Are Racing Ahead of Tesla

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    It could. Imagine 80% autonomous vehicle traffic, 30% of that is multipassenger capable taxi service. Autonomous vehicle lanes moving reliably at 75mph. With this amount of taxi service the advantages of personal vehicle ownership falls and the wait time for an available pickup diminishes rapidly. China has many areas with pretty good public transportation. In the US, tech advances and legislation changes to enable the above model is better suited to the existing infrastructure.
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    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.
  • Why Ohio Trusts Baker Chiropractic for Arthritis Pain Relief

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  • Apple sued by shareholders for allegedly overstating AI progress

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    For this comment, I want to be absolutely clear that I do not give a shit about AI, and that it in no way factored into my decision to buy this iPhone 16 Pro Max. With that disclaimer out of the way: I very much look forward to a class action lawsuit. Apple advertised specific features as coming ‘very soon’ and gave short timeframes when asked directly. And they basically did not deliver on those advertising promises. Basically, I think there’s a good case to be made here that Apple knowingly engaged in false advertising in order to sell a phone that otherwise would not have sold as well. Those promised AI features WERE a deciding factor for a lot of people to upgrade to an iPhone 16. So, I’ll be looking forward to some form of compensation. It’s the principle of it.
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    Maybe you're right: is there verification? Neither content policy (youtube or tiktok) clearly lays out rules on those words. I only find unverified claims: some write it started at YouTube, others claim TikTok. They claim YouTube demonetizes & TikTok shadowbans. They generally agree content restrictions by these platforms led to the propagation of circumspect shit like unalive & SA. TikTok policy outlines their moderation methods, which include removal and ineligibility to the for you feed. Given their policy on self-harm & automated removal of potential violations, their policy is to effectively & recklessly censor such language. Generally, censorship is suppression of expression. Censorship doesn't exclusively mean content removal, though they're doing that, too. (Digression: revisionism & whitewashing are forms of censorship.) Regardless of how they censor or induce self-censorship, they're chilling inoffensive language pointlessly. While as private entities they are free to moderate as they please, it's unnecessary & the effect is an obnoxious affront on self-expression that's contorting language for the sake of avoiding idiotic restrictions.