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Posts
8
Comments
387
Joined
2 yr. ago

Independent thinker valuing discussions grounded in reason, not emotions.

Open to reconsider my views in light of good-faith counter-arguments but also willing to defend what's right, even when it's unpopular. My goal is to engage in dialogue that seeks truth rather than scoring points.

  • More accurate comparison would be taking the sample but refusing the pamphlet. Dropping it in the nearest bin would be skipping the ad after 5 seconds.

  • Well it is compareable to piracy just like piracy is effectively stealing. I still partake in both but unlike much of my peers, I'm not lying to myself about what I'm doing.

  • It is intended (by the designer) to persuade.

    According to you, I presume? Or can you back that up somehow?

    LLMs were developed to simulate human-like understanding and generation of language. They're called large language models for a reason.

  • Human vision also have the brain that does a lot of automation like figuring out distance and looking out for danger with real time reaction speed.

    To be fair, the reaction time of a self driving vehicle is orders of magnitude greater than that of even the best human driver.

    This is what leads to many moral questions about autonomous vehicles; where as human may not have time to react when an accident is about to happen, a self-driving car does. Laws of physics may prevent it from stopping in time, but it may have the ability to choose who to hit; the kid of the grandmom.

  • Not only that, but as far as I know, other companies are still relying on human-written code, whereas Tesla has gone with neural nets. If it turns out that manually coding how to handle every possible variation of traffic scenarios is an impossible task, those companies would essentially have to start from scratch, giving Tesla a massive lead for adopting AI so much earlier. Of course, it’s a gamble, things could go the other way too, but considering the leap FSD made from version 1.3 to 1.4, when they switched to neural nets, I’m rather confident they're on the right track.

  • Radar and LiDAR are two different instruments. One creates a 3D point cloud while the other mainly measures distance and speed. New Tesla models with hardware 4 have radars in them.

  • And it will keep killing people even after it surpasses the most skilled human driver. What's your point?

    If we replaced every single car in the US with a self driving vehicle that was 10x safer driver than an average human is, there would still be 11 deaths every single day. Does that mean it's unsafe we should go back to human drivers and 110 daily deaths?

  • The problem with Teslas, or self-driving cars in general is not so much the ability to see your surroundings. Teslas can do this well enough by using just cameras while admittedly LiDAR would be even more accurate. The problem is deciding what to do with this information. It's primarily a software problem, not a hardware one.

    I’ve ridden in Waymos and they are smooth riding.

    In a recent statement on X, Tesla Autopilot Director Ashok Elluswamy highlighted the team’s focus on both smoothness and safety during the development of FSD v12.5, noting that he managed to avoid spilling open coffee for a huge portion of a recent trip.

    Many people testing FSD on youtube can confirm that it indeed is that smooth riding.

  • Teslas have never had LiDAR on them. You don't seem very educated on the subject you speak with such confidence of.

  • I'm not sure what you mean by suggesting Tesla is bad at it. Have you looked at any recent videos of Tesla FSD driving in cities? It's not flawless and neither is Waymo but claiming it's bad is far from the truth. Most people seem to be basing their opinion about FSD on outdated information. It has come a long way. It will reliably take you from your home to the grocery store and back with zero driver interventions. Nowdays it's almost boring to watch videos about FSD because it is so good.

  • ..bullshit is speech intended to persuade..

    Quoting out of context is not going to score you any points

  • Depends which definition of bullshit you use, I guess.

    Frankfurt determines that bullshit is speech intended to persuade without regard for truth. The liar cares about the truth and attempts to hide it; the bullshitter doesn't care whether what they say is true or false.

    Wiki

  • The thing with 'common parlance' is that it's used by people without a deep understanding of the subject. Among AI researchers, there’s never been confusion about this. We have different terms for different things for a reason. The term AGI has been around since the early 2000s.

    It's like complaining about the terms jig, spoon, spinner, and fly, and saying that back in the day, we just called them fishing lures. They are fishing lures, but these terms describe different types. Similarly, AGI is a form of AI, but it refers to a specific kind.

  • So it is so because you say it's so? Okay. I remain unconvinced.

  • AI and AGI are not the same thing.

    A chess playing robot is intelligent but it's so called "narrow intelligence" because it's really good at one thing but that doesn't translate to other things. Human are generally intelligent because we can perform a wide range of cognitive tasks. There's nothing wrong at calling LLM an AI because that's what it is. I'm not aware of a single AI company claiming to posses an AGI system.

  • But you wouldn't call it lying if a person tells you something they think is true but turns out to be false. Lying means intentionally giving out false information. LLMs don't have intentions.

  • Bullshitting implies intention to do so. LLMs make mistakes, just like humans.

  • It's not obvious to me as to why this is for 100% certainty going to be the case. Even if it's likely true, there's still a chance it might not be.

  • The timeline doesn't really matter to me personally. As long as we accept the fact that we'll get there sooner or later it should motivate us to start thinking about the implications that comes with. Otherwise it's like knowing there's an asteroid hurling towards the earth but we'll just dismiss it by saying: "Eh, it's still 100 years away, there's no rush here"