No… A convection oven’s fan just circulates the air. It doesn’t blow it directly onto the food. It’s similar, but not the same.

Do you want to run TensorFlow Lite / LiteRT models? PyTorch Mobile? TensorRT? onnx? YOLO? vLLM? Something else? The recommendations will vary based on your use case.

Google Coral was decent for TensorFlow Lite, but it’s EOL (end of life) now. I’ve got the dual TPU Mini PCIe version in my home server, via a PCIe adapter board. I use it for object detection with Blue Iris + CodeProject AI and it works pretty well for that use case.

Hailo-8 is supposed to be like a more powerful version of the Coral, but I don’t have experience with it. It supports a bunch of frameworks: TensorFlow, TensorFlow Lite, Keras, PyTorch and ONNX. I’d be interested in hearing other people’s thoughts on it.

I don’t know if any of these work over USB though. They’re usually internal devices. Google marketed the Coral USB as being for development and testing only, pointing people to the M.2 and PCIe versions for production usage.

As for something totally different… There’s the Nvidia Jetson single board computer which supports TensorRT, but I don’t have experience with it either. I also think it’s a bit older too. You could also consider getting a newer mini PC with a AMD Ryzen AI processor in it, or an Nvidia DGX Spark.

Google’s latest TPUs are only available in their cloud - they’re not selling the hardware to end users any more.

What?? It’s strange to see Australia do something worse than the USA in terms of health care. In the US, the COVID vaccine is free with pretty much all insurance plans, and people get it at the same time as the yearly flu shot.

The government should always subsidize preventative things like vaccines.

Baking is letting the food sit in hot air for a while. Air frying is blowing the heat directly onto the food. They also vent the air to release excess steam and moisture, which is why air fried things are crisper.

Use it like a regular oven but reduce temperature by 25°F or 15°C and reduce cooking time by 20%.

Just power it using solar panels?

They’re closer to impingement ovens than convection ovens.

Convection ovens (or “fan forced ovens” in some countries) use a fan to gently and evenly circulate the hot air, whereas impingement ovens and air fryers use higher velocity fans to blow the heat directly onto the food.

It heavily depends on proprietary Google and carrier infrastructure in practice.

This is the same as practically every carrier feature though. Carriers are a pain to deal with and all their infra is proprietary, so usually only the big companies like Google and Apple have the motivation to integrate with them and build out new services.

I’m surprised it took this long, given how insecure SMS and MMS are.

On the other hand, I don’t think I know anyone that uses SMS regularly, so maybe it just wasn’t a priority? Pretty much the only SMS messages I get are automated. It’s more common to see people using either Messenger, WhatsApp, Signal, or Telegram (or iMessage in the USA but that’s mostly an outlier compared to the rest of the world).

You can also get to this through the Google search UI, too. It’s the “Web” tab.

They should have to get a warrant, because of the fourth amendment.

I agree. I don’t like that a private company is involved, at all. Companies should just supply the hardware, and not have full access to the system.

Nah it’s a screenshot that’s at least ten years old. That’s a very old Netflix UI.

the alternatives do not include a nationwide search as part of their features

Yeah I think people would feel much better if the cameras were operated by the local police department, and they were the only ones that had access to it.

ALPR (automatic license plate recognition) cameras have been around for a long time, but it previously wasn’t an issue because access to the data was restricted. Same with security CCTV cameras. Other jurisdictions had to subpoena the data rather than being able to instantly access everything.

Flock’s cameras are much more than ALPR though. They make a profile of every car they see, and can track cars even if they don’t have license plates based on identifying features (dents, big scratches, bumper stickers, etc).

AFAIK all the info is from leaks, and there’s no guarantee that leaked stuff ends up being actually launched.

I don’t think this is even legal in some jurisdictions. Many places have regulations that restrict/prohibit drip pricing, and I’d argue that automatically preselecting options that cost more is a dark pattern that’s adjacent to drip pricing.

Interesting. I’ll take a closer look and read the article you linked to. I haven’t used Kagi much, but I did try the trial and their search results are definitely better than Google.

That’s a good point. I didn’t experience anything like that while growing up - my dad had a car but we never went on road trips, and my mum never learnt to drive. We lived in the inner suburbs in Melbourne so I didn’t really have a reason to drive anywhere in day-to-day life when I could just take a train, tram, or bus. I didn’t even learn to drive until I was 26, after moving to the USA.

They destroy the books because it allows them to scan them bette

That’s definitely one reason, but the copyright argument is also a part of it. The court explicitly said that their digitization is legal only if does not increase the number of copies of the book.

There’s no need to do this legally - they could donate used books. The argument shows that the final product is transformative, so it doesn’t matter whether they keep the books or not.

They have to keep the digital copy of the book because they add it to the training corpus for the LLM. Selling or donating the original physical book after doing that would void the fair use argument.

LLMs can reproduce quite long passages of books, though I don’t think this changes the argument much, because it’s not reliable or useful.

One of the tests that determines if it’s fair use or not is whether it can serve as a replacement for the original book. Pirated copies can, which is why they’re illegal. A summary like CliffNotes can’t. Even if the LLM can reproduce long passages, you can’t do that reliably (like you said) and it won’t work for all books.

I always thought there was in obvious win where companies doing this could be forced to archive the scan publicly (after some period of time)

I definitely agree with this. I think copyright law needs to be modernized to handle cases like this. I think the AI companies should be allowed to donate the digital copy to a library (like the Internet Archive) while still being allowed to keep their copy in their training corpus.

Their mission has always been about making the web better for humans, though. Their AI stuff is all opt-in and they have a decent philosophy about it: https://help.kagi.com/kagi/why-kagi/ai-philosophy.html