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Tesla withheld data, lied, and misdirected police and plaintiffs to avoid blame in Autopilot crash

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    ianhclark510@lemmy.blahaj.zoneI
    if they throw Lip-Bu Tan in jail does that mean the 24,000 people he shitcanned get their jobs back?
  • Why does technology create new problems for each one it solves?

    Technology technology
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    R
    Not really, there's an OR logical element present in our world. Divide et impera, applied to engineering. For 80% of things this fast cool solution works, for 20% the simpler one works. The aggregating element to make using both in their own situations transparent reduces reliability just a bit, but the efficiency gain is visible. And the "80%" and "20%" solutions can further on too use such unifying elements to aggregate different solutions for them. To improve efficiency without additional failure points (except for aggregators). Nobody does that because the "80% solution" producer wants to capture you, they don't want alternatives, they want power, and it's a honeypot. It's up to you the customer to understand this. In the classical model. Also see customer associations, which are like unions inverted. Isn't it funny how we have big businesses organizing, but not labor and not customers? While for them it's much more important. As you can see, the aggregator is very important here. We need standards, so that all social media would compete with other social media in one interoperable world with standardized interfaces, all search engines would compete with other search engines in one interoperable world with standardized interfaces, all file hostings ... you get the idea.
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    dojan@pawb.socialD
    Don’t assume evil when stupidity I didn't, though? I think that perhaps you missed the "I don’t think necessarily that people who perpetuate this problem are doing so out of malice" part. Scream racism all you want but you’re cheapening the meaning of the word and you’re not doing anyone a favor. I didn't invent this term. Darker patches on darker skin are harder to detect, just as facial features in the dark, on dark skin are garder to detect because there is literally less light to work with Computers don't see things the way we do. That's why steganography can be imperceptible to the human eye, and why adversarial examples work when the differences cannot be seen by humans. If a model is struggling at doing its job it's because the data is bad, be it the input data, or the training data. Historically one significant contributor has been that the datasets aren't particularly diverse, and white men end up as the default. It's why all the "AI" companies popped in "ethnically ambiguous" and other words into their prompts to coax their image generators into generating people that weren't white, and subsequently why these image generators gave us ethnically ambigaus memes and German nazi soldiers that were black.
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    N
    That’s a very emphatic restatement of your initial claim. I can’t help but notice that, for all the fancy formatting, that wall of text doesn’t contain a single line which actually defines the difference between “learning” and “statistical optimization”. It just repeats the claim that they are different without supporting that claim in any way. Nothing in there, precludes the alternative hypothesis; that human learning is entirely (or almost entirely) an emergent property of “statistical optimization”. Without some definition of what the difference would be we can’t even theorize a test
  • No Internet For 4 Hours And Now This

    Technology technology
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    nokturne213@sopuli.xyzN
    My first set I made myself. The "blackout" backing was white. The curtains themselves were blue with horses I think (I was like 8). I later used the backing with some Star Wars sheets to make new curtains.
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    db0@lemmy.dbzer0.comD
    VC-backed OpenAI is the most valuable company in the world and is engaging in massive environmental destruction. The US state just went into cahoots with them to the tune of billions VC-backed Uber and AirBnb disrupted multiple estabilished industries for the worst by undercutting them through loss-leading. VC-backed Facebook killed or purchased all its rivals and consolidated almost all social media to the detriment of the whole world.
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