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They don’t have remote drivers. Your own link says that.

> The Waymo Driver does not rely solely on the inputs it receives from the fleet response agent and it is in control of the vehicle at all times.

> The Waymo Driver evaluates the input from fleet response and independently remains in control of driving.


These videos from Waymo shows what kind of guidance they provide:

https://youtube.com/watch?v=T0WtBFEfAyo

https://youtube.com/watch?v=elpQPbJXpfY

Notice how the system itself reasons about the scene and asks for help with possible options.

This whole story is a nothingburger. The only “news” here is that the operators are in Philippines.


> Tesla is executing the strategy that most quickly scales to 100% of the population.

So, uh… where is this “scale” then? This “strategy” has been bandied about for better part of a decade. Why are they still in a tiny geofence in Austin with chase cars?

Waymo is doing it right now. Half a million rides every week, expansion to a dozen new cities. Tesla does a few hundred in a tiny area.

Scale is assessed by looking at concrete numbers, not by “strategies” that haven’t materialized for a decade.


We know Waymo reduced their LiDAR price from $75,000 to ~$7500 back in 2017 when they started designing them in-house: https://arstechnica.com/cars/2017/01/googles-waymo-invests-i...

That was 2 generations of hardware ago (4th gen Chrysler Pacificas). They are about to introduce 6th gen hardware. It's a safe bet that it's much cheaper now, given how mass produced LiDARs cost ~$200.


The novel aspect here seems to be 3D LiDAR output from 2D video using post-training. As far as I'm aware, no other video world models can do this.

IMO, access to DeepMind and Google infra is a hugely understated advantage Waymo has that no other competitor can replicate.


This is the real story buried under the simulation angle. If you can generate reliable 3D LiDAR from 2D video, every dashcam on earth becomes training data. Every YouTube driving video, every GoPro clip, every security camera feed.

Waymo's fleet is ~700 cars. The internet has millions of hours of driving footage. This technique turns the entire internet into a sensor suite. That's a bigger deal than the simulation itself.


3d from moving 2d images has been a thing for decades.

This is 3D LiDAR output (multimodal) from 2D images.

LiDAR is the technology used to do spatial capture. The output is just point clouds of surfaces. So they’re generating surface point clouds from video

It's not unheard of, there are a handful [0] of metric monodepth methods that output data that's not unlike a really inaccurate 3D lidar, though theirs certainly looks SOTA.

[0] https://github.com/YvanYin/Metric3D


> Persistent directory at ~/.claude/projects/{project-path}/memory/, persists across conversations

I create a git worktree, start Claude Code in that tree, and delete after. I notice each worktree gets a memory directory in this location. So is memory fragmented and not combined for the "main" repo?


Yes, I noticed the same thing, and Claude told me that it's going to be deleted. I will have it improve the skill that is part of our worktree cleanup process to consolidate that memory into the main memory if there's anything useful.

Yes, it provides external validation for the valuation. Otherwise, Alphabet can simply "self value" Waymo at a funny amount like $1T.

There's also a strategic partnership angle in these rounds. For example, Magna and Autonation were early investors in Waymo. Magna operates Waymo's factory in Arizona to upfit their vehicles with sensors, Autonation (the huge dealership/service network) is the maintenance partner.

In general, the Alphabet playbook is that projects "graduate" out of Google X, and are expected to operate as a standalone company, including being responsible for raising funds.


There have been many instances of Waymo preventing a collision by predicting pedestrians emerging from occlusion. This isn’t new information at all for them. Some accidents are simply physically impossible to prevent. I don’t know for sure if this one was one of those, but I’m fairly confident it couldn’t have been from prediction failure.

See past examples:

https://youtube.com/watch?v=hubWIuuz-e4 — first save is a child emerging from a parked car. Notice how Waymo slows down preemptively before the child starts moving.

https://www.reddit.com/r/waymo/s/ivQPuExwNW — detects foot movement from under the bus.

https://www.reddit.com/r/waymo/s/LURJ8isQJ6 — stops for dogs and children running onto the street at night.


> detects foot movement ..

That’s probably how they do it, which is again very clever stuff, chapeau. But they do it like that b/c they can’t really predict the world around them fast enough. It might be possible in the future with AI World Models though


What do you mean “fast enough”? You can’t predict something that doesn’t exist i.e. not visible to the sensors. A Waymo wouldn’t move at all if it assumed people would always jump out of nowhere.

Even if you detect “fast enough”, there are physical limits for braking and coming to a stop.


You are predicting stuff that your sensors don’t see all the time my friend

You’re being vague and hand-wavy yet again.

Do you stop at every double parked vehicle when you’re driving? A Waymo would never move if it always predicted pedestrians would jump in front of it out of nowhere or the car next it would swerve at 65 mph. It’s physically impossible to stop in time for many accidents, unless you’re already stopped.


I agree but if you can infer that maybe there are children running around because it’s the time they get out of school etc, then yes, you stop at every double parked car.. I’m not saying it’s easy to do, I’m just saying that’s a limitation of the system, that still already does miracles..

This one should have been prevented because the Waymo should have been driving at max 10mph

Tesla invests $2B in xAI, SpaceX merges with xAI. It's just blatant self-dealing all the way down to artificially prop up valuations.


If you want American companies to not outsource any jobs AND have full foreign market access, get ready to get market access revoked from places like India. They’ll just incentivize their local companies to compete, and Amazon has plenty of local competition there already.

Amazon themselves have experienced in the past how heavy-handed Indian regulators can be.

It’s not a zero-sum game anymore. You cannot have only one side (US companies) capture 100% of the value.


> They’ll just incentivize their local companies to compete

They already do.


> You cannot have only one side (US companies) capture 100% of the value.

This is the value prop of the US military


It was, at least it worked for Europe, but Trump has seemingly managed to ruin that too.


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