reed
9.2K posts

reed
@reed
engineering @waymo prev @youtube @punchd
Katılım Aralık 2006
1.6K Takip Edilen10K Takipçiler
reed retweetledi

500K @Waymo rides per week is astronomical
Logan Kilpatrick@OfficialLoganK
Google is the best company in the world
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@ethanmckanna @wholemars it can’t be skipped and the options aren’t random order so the data will be very skewed
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Current UX is horrible. Looks like something an engineer made lol
Maybe there's constraints I'm not aware of but feel like it would make more sense to have optional audio prompt, transcribe, and then use an LLM to categorize. Would allow for much more nuance and consistent bucketing of issue type
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reed retweetledi

We (mainly @chi_t_williams) looked at the 78 worst Waymo crashes of the last seven months. The vast majority (60 out of 78) were "human rear-ends Waymo" and/or "human hits stationary Waymo."

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I have to admit Matthew from 5 years ago was wrong.... it does kinda make sense to figure out what you actually need to build a robotaxi before you start making millions of them...
Kyle Field@mrkylefield
Waymo partnered with @Hyundai to build a robotaxi that comes straight out of Hyundai's factory. It should drastically lower @Waymo's vehicle cost, standardize the platform, and allow them to ramp up volume quickly. No word on production volume or pricing but it will be in production by the end of the year, according to Hyundai's team.
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@aakashgupta Waymo in Dallas also launched with no safety monitor day 1.
It's really weird how you count Waymo development time in other cities but you don't do the same for Tesla.
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Tesla just did in one day what took Waymo nine years.
Dallas and Houston launched with no safety monitor in the front seat from day one. Austin took seven months to get there after starting with a human in the passenger seat in June 2025. Dallas and Houston skipped that phase entirely.
Waymo has been operating since 2017 and only reached fully unsupervised commercial service with its 6th-gen Driver in February 2026. Nine years of iteration on sensor fusion: 13 cameras, 4 lidars, and 6 radar units per vehicle.
Tesla is attempting the same thing with cameras only. 8 cameras. No LiDAR, no radar. The argument is that a vision-based system trained on millions of consumer Teslas running FSD on public roads can generalize faster than a sensor-fusion system calibrated per city.
Every Tesla on the road is a data-collection node. Waymo's fleet is roughly 3,000 vehicles. Tesla's FSD-eligible fleet is in the millions. The bet is that raw scale of training data beats per-city mapping and sensor redundancy.
Texas is the testing ground because the regulations allow it. Seven cities by June: Dallas, Houston, Phoenix, Miami, Orlando, Tampa, Las Vegas.
The camera-only approach has been called reckless for six years. If it works across seven cities in ten weeks, it changes the entire economics of autonomous vehicles.
A $20,000 Waymo sensor stack versus what already ships on every new Tesla.
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@reed Is it possible for loading times to be improved? Especially on mobile data where the network connection can be spotty in SF. Attached a video on 5G, can often take 20-30 seconds.
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