If it’s a machine used for business: corporate espionage.

It depends on how busy it is. It’s mainly the time it takes to make the pizza. Delivery is a 900 meter bike ride. I think Dominoes uses e-bikes so that’s maybe 2 minutes?

Assuming we had proper bike infrastructure(which we don't); you'd be hard pressed to top the speed a car can go, and you would still have to stop frequently at lights, just like a car

Here it’s the exact opposite. There is no way a car can keep up with a bike in the city. Let’s say I wanted to go to the city center by car, which is about 2 kilometers. I would encounter 5 traffic lights just in that short drive. On a working day it would be slow, on a Saturday? Forget it. It would probably be faster to walk. Alternatively, I could go by bike and encounter exactly zero traffic lights. I would ride from my house to the bicycle highway (few hundred meters), and from there it’s an uninterrupted route to the city center. It’s a completely separate path and there are bridges crossing all major roads. Near the city center it turns into a shared space where bicycles have priority over cars. The city center isn’t accessible by car at all, so if you go by car you have to park your car at the edge of the city center (paid) and walk the rest. By contrast, I can cycle right up to any store and park my bicycle right in front of it.

I’m shocked not just at the lack of proper infrastructure but also at how badly maintained and decrepit everything looks. If you showed me these pictures and told me this was somewhere in a former soviet state in eastern Europe I would have believed you.

You can take a look around my nearest Domino’s. This one is the closest to my place (not doxing myself either here). There is no dedicated cycling infrastructure here as this is in a 30 kilometer zone near a shopping center and a school (max speed ~ 18mph) so there’s lots of speedbumps the road is fairly narrow to encourage driving at low speed. If you move out of the 30 km/h zone you’ll see cycling infrastructure appear. It’s also a few hundred meters from the F35 bicycle highway.

32 kilometers is still insane. How long do you have to wait for your pizza if they have to first wait for that many orders that need to go in that particular direction. Must be hours. Here it usually takes 15-20 minutes.

That’s absolutely insane. How many delivery drivers do they have for such a large area? 32 kilometers that’s an hour roundtrip even in a rural area with little traffic. If you order around dinner time you must have to wait for hours to get your food, even id they have like 10+ cars.

I checked and there are 18 dominoes in that radius around my home.

You’re saying that 6.5 kilometers by car would be faster than by bike in a city? In a car you’d be stuck in slow moving traffic or waiting for a traffic light like 80% of the time.

6.5km by bike would be like 20 minutes max, depending on city and time of day it would be 30-60 minutes by car.

No, I’m in the Netherlands. Why deliver by car when a bike is faster and cheaper?

Why does your dominoes deliver by car? Seems like an incredibly expensive and environmentally unsound way of delivering pizza? Here they just use bikes like basically every other delivery place.

Yes, there are massive advantages. It’s basically what makes unified memory possible on modern Macs. Especially with all the interest in AI nowadays, you really don’t want a machine with a discrete GPU/VRAM, a discrete NPU, etc.

Take for example a modern high-end PC with an RTX 4090. Those only have 24GB VRAM and that VRAM is only accessible through the (relatively slow) PCIe bus. AI models can get really big, and 24GB can be too little for the bigger models. You can spec an M2 Ultra with 192GB RAM and almost all of it is accessible by the GPU directly. Even better, the GPU can access that without any need for copying data back and forth over the PCIe bus, so literally 0 overhead.

The advantages of this multiply when you have more dedicated silicon. For example: if you have an NPU, that can use the same memory pool and access the same shared data as the CPU and GPU with no overhead. The M series also have dedicated video encoder/decoder hardware, which again can access the unified memory with zero overhead.

For example: you could have an application that replaces the background on a video using AI. It takes a video, decompresses it using the video decoder , the decompressed video frames are immediately available to all other components. The GPU can then be used to pre-process the frames, the NPU can use the processed frames as input to some AI model and generate a new frame and the video encoder can immediately access that result and compress it into a new video file.

The overhead of just copying data for such an operation on a system with non-unified memory would be huge. That’s why I think that the AI revolution is going to be one of the driving factors in killing systems with non-unified memory architectures, at least for end-user devices.

Cool idea, let’s hope it takes off.

He also sustained himself by collecting and eating berries, he said.

Wow, that’s so smart; sustaining himself by eating food.