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Former GM Executive: BYD cars are good in terms of design, features, price, quality. If we let BYD into the U.S. market, it could end up destroying american manufacturers

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    B
    But do you also sometimes leave out AI for steps the AI often does for you, like the conceptualisation or the implementation? Would it be possible for you to do these steps as efficiently as before the use of AI? Would you be able to spot the mistakes the AI makes in these steps, even months or years along those lines? The main issue I have with AI being used in tasks is that it deprives you from using logic by applying it to real life scenarios, the thing we excel at. It would be better to use AI in the opposite direction you are currently use it as: develop methods to view the works critically. After all, if there is one thing a lot of people are bad at, it's thorough critical thinking. We just suck at knowing of all edge cases and how we test for them. Let the AI come up with unit tests, let it be the one that questions your work, in order to get a better perspective on it.
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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.
  • A receipt printer cured my procrastination [ADHD]

    Technology technology
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    cygnosis@lemmy.worldC
    Good to know. Also an easy problem to fix. Just use phenol free paper.
  • Mega-BUNDLE Offer

    Technology technology
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    Unlock the ultimate toolkit for entrepreneurs, marketers, and content creators with the AISellers Mega-BUNDLE! This all-in-one package is packed with cutting-edge AI tools, templates, and automation workflows designed to skyrocket your productivity, simplify your sales funnel, and grow your online business—faster than ever before.
  • Why Decentralized Social Media Matters

    Technology technology
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    fizz@lemmy.nzF
    Yeah we're kinda doing well. Retaining 50k mau from the initial user burst is really good and Lemmy was technologically really bad at the time. Its a lot more developed today. I think next time reddit fucks uo we spike to over 100k users and steadily grow from there.
  • OpenAI plans massive UAE data center project

    Technology technology
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    TD Cowen (which is basically the US arm of one of the largest Canadian investment banks) did an extensive report on the state of AI investment. What they found was that despite all their big claims about the future of AI, Microsoft were quietly allowing letters of intent for billions of dollars worth of new compute capacity to expire. Basically, scrapping future plans for expansion, but in a way that's not showy and doesn't require any kind of big announcement. The equivalent of promising to be at the party and then just not showing up. Not long after this reporting came out, it got confirmed by Microsoft, and not long after it came out that Amazon was doing the same thing. Ed Zitron has a really good write up on it; https://www.wheresyoured.at/power-cut/ Amazon isn't the big surprise, they've always been the most cautious of the big players on the whole AI thing. Microsoft on the other hand are very much trying to play things both ways. They know AI is fucked, which is why they're scaling back, but they've also invested a lot of money into their OpenAI partnership so now they have to justify that expenditure which means convincing investors that consumers absolutely love their AI products and are desparate for more. As always, follow the money. Stuff like the three mile island thing is mostly just applying for permits and so on at this point. Relatively small investments. As soon as it comes to big money hitting the table, they're pulling back. That's how you know how they really feel.
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    Fantastic! Me and my 7 legs tank you so much!
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    Sure, he wasn't an engineer, so no, Jobs never personally "invented" anything. But Jobs at least knew what was good and what was shit when he saw it. Under Tim Cook, Apple just keeps putting out shitty unimaginative products, Cook is allowing Apple to stagnate, a dangerous thing to do when they have under 10% market share.