Seems like a LOT of AI generation.

I wonder where this wiki format would be useful vs asking an AI directly.

Almost all retail RFID tags are on hanging labels, like with the price, or a sticker on the item. Although I did find one inside a pillow once.

A huge number of items at Walmart, Kohls, Target, Academy, Old Navy, and many other stores now (those are just the ones I've seen in store.)

Look for the 'EPC' logo, GS1 is the same standards body that controls the UPC barcode numbering.

https://www.gs1.org/standards/rfid/guidelines

Though - you don't want to use those types for this application, they are too long distance / not selective enough, and the readers are expensive.

Buy a big pack of NFC stickers instead, or print up some QR codes.

> Almost all retail RFID tags are on hanging labels, like with the price, or a sticker on the item. Although I did find one inside a pillow once.

I would say that Decathlon stuff has the RFID inside the internal labels (the ones that you should cut off if you don't want them to scratch your skin but sometimes you don't notice them)

Because it's a binary format?

Maybe this comparison with S2 will explain:

https://h3geo.org/docs/comparisons/s2/

The GSD tool (get-shit-done) automates a very similar process to this, and has been mind-blowing for larger projects and refactors.

https://github.com/glittercowboy/get-shit-done

You still need to know the hard parts: precisely what you want to build, all domain/business knowledge questions solved, but this tool automates the rest of the coding and documentation and testing.

It's going to be a wild future for software development...

Just tell him that Waymo is now sharing videos of this behavior with auto insurance companies.

I don't know if they are or not. But why wouldn't they...

> The Far Side is the only place in the Earth Moon system where you can hide military hardware and basically disappear. No optical tracking, no radar, no interception.

What prevents someone from sending a Lunar-orbiting imaging satellite to image everything on the Far Side? The Lunar Reconnaissance Orbiter has already been imaging the Far Side for over a decade.

I agree with your general points about it being a difficult location to get to, but if it's possible to put regular satellites in Lunar orbit, surely its possible to park some warheads too just in case...

If a big power gets there first, they’re not going to treat lunar orbit like some kind of shared international space. They’d treat it as their turf. At that point you can’t just assume you can drop an imaging satellite into whatever orbit you want they’d have both the motive and the capability to deny access.

Hi, curious, did you know about OpenRouter before building this?

> OpenRouter provides a unified API that gives you access to hundreds of AI models through a single endpoint, while automatically handling fallbacks and selecting the most cost-effective options. Get started with just a few lines of code using your preferred SDK or framework.

It isn't OpenAI API compatible as far as I know, but they have been providing this service for a while...

OpenRouter can also prioritize providers by price: https://openrouter.ai/docs/guides/routing/provider-selection...

That would be a fun project. Capture some WiFi geolocation data and rebroadcast it later with an ESP32 that switches its BSSID/SSID/frequency/transmit power to match an existing fingerprint.

And then see if you can be magically transported somewhere else.

Already done: https://hackaday.com/2024/11/15/bypassing-airpods-hearing-ai...

I mean, if the scenic route is longer anyways, the revenue potential is there to fund it...

just a 'take me the scenic route' checkbox?