Trying the Waymo driverless taxi (and what

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  • เผยแพร่เมื่อ 22 ธ.ค. 2024

ความคิดเห็น • 8

  • @pjaxy
    @pjaxy 9 วันที่ผ่านมา +2

    I agree with you that Not Just Bikes' criticisms on the safety of Self Driving cars are birthing pains and not insurmountable challenges. Self Driving cars can be much better and safer than humans in the future.
    But I disagree with you that they are "not a future to fear". Self driving cars have been around for decades - they are called taxi cabs, Ubers, "ride shares". Taxis never solved the problem of transportation. They still caused traffic, are still expensive, and turned cities into car infested dystopias.
    We should fear Self Driving cars because it is a step in the wrong direction. it's going to accelerate car adoption and hit like a truck.
    We need car-less drivers, not driverless cars.

  • @longlongdogg
    @longlongdogg 8 วันที่ผ่านมา

    the real danger biking in san francisco is when the waymos bug out other drivers go around them dangerously because they are frustrated being stuck behind a stopped empty car

  • @DafferGhanim
    @DafferGhanim 11 วันที่ผ่านมา

    Great video! Can’t wait to see how this technology continues to evolve in the future.

  • @longlongdogg
    @longlongdogg 8 วันที่ผ่านมา

    Also in sf all of the cruise brand self driving cars are just abandoned in a gated parking lot in the industrial part of town gathering dust. They dragged a pedestrian to death and lied to the city about it

    • @ramazotto2727
      @ramazotto2727 7 วันที่ผ่านมา

      ONE Cruise car dragged a woman about 20 feet after another (non-Cruise) car hit her, and she was injured but survived. Please get ínformed before posting, thanks.

  • @AntonioGarcia-zr9uc
    @AntonioGarcia-zr9uc 9 วันที่ผ่านมา

    Yeah, I've got a good mate working on the Zoox project... he reckons Waymo is years ahead of everyone else... so old mate bicycle was basing what he said on companies like Tesla then yeah, it's not ready

  • @ch4.hayabusa
    @ch4.hayabusa 10 วันที่ผ่านมา +2

    Funny how they are using off-road wheels, rather than mapping, reporting, swerving and slowing down for potholes like a human. Also, in the case of the Tesla suddenly stopping... it did so because the driver was inattentive, not because the AI failed. These systems are rapidly advancing, a 2022 experimental research system cannot be compared to a 2025 production system. From what I've seen of v13 Tesla AutoPilot, it's far more cautious around children than humans.
    We should still be weary of companies flooding cities with cheap, underfunded, shortcut heavy AI. Waymo and Tesla do not fall in this camp. I would still limit the number of Waymo's per square km to around 2... they are awful at dealing with big concerts and large crowds.

  • @Chibs
    @Chibs 8 วันที่ผ่านมา

    I don't see how companies going out of business is any counter argument or 'unfair' at all. So will Waymo, so will many more. At one point or another - These cars drove on streets and posed a real danger to people, all because these companies push technologies not ready for widespread use. This will not change - It's inherent to the tech sector and companies after Waymo or before them will be no different. These technologies aren't hugely different at all either.
    Wanting to use Waymo's data to judge Waymo is also a terrible idea, talk about unfair. Of course Waymo's data on Waymo's care is persuasive, that's the entire reason they selectively publish what they publish. It's a terrible idea to base your judgement on biased data, that's like checking Shell's reports to get an idea on the dangers of climate change. Based on Waymo's experience and Waymo's
    The claim that these are not trained models because they stop for yellow light or have speed limits is completely illogical, those are easy limitations you could implement on any type of training model. We *know* these drive on machine learning AI models using big data sets, this is no secret and the backbone of almost (if not) all driverless car systems. It seems crazy to me you talk about how you have a duty to be factual - Then say you don't know anything about programming and follow it up with assumptions based on some anecdotal experience that you could've just fact checked before posting online.