You know, this, and the using wifi to see through walls stuff to me just immediately seemed to fall into “don’t research this, it can only be used for evil”.

I don’t get why we bother studying these types of things.

These took 5 minutes to make

Honestly we should just move on to device based attestation and if parents want to protect their kids they set up child mode.

I’m not responsible for lazy parenting.

I would never admit this happened to me

I’m sure the number is higher than 2

All I’ve got is a nubby yubikey nano

Probably doesn’t floss.

To be fair, I’m not sure why firebase even has a public access option. That’s a recipe for issues.

Though if it’s anything like Google Cloud Store, they hopefully make it very clear that your bucket is public.

They all got $200M last week

But anything the US feds contracted them for, like building data centres, they have to comply or they face penalties and have to pay all the costs back.

10 days ago, a week before this was announced, they awarded $200M contracts each to Anthropic, OpenAI, Google and xAI

This doesn’t doom the public versions, but they now have a pretty strong incentive to save money and make them comply with the US governments new definition of truth.

What do they do with the daddy computers? All of mine only have female ports.

The first few iterations were good, when they went mass market they let quality go.

Yeah, sadly SpaceX and Tesla are both very promising companies primarily held back by Elon Musk.

I use dimethyl mercury patches, it’s easier than pretending I’m Scorpius changing out my heat rods.

I need to stop doing this

Why do they have anuses?

This is why the apes blew everything up.

Let’s try making Karma a real universal force

I tried following my cat and all he lead me to was his food bowl.

Oh wow, I didn’t know you were having these problems with him.

But since you’re in my office let’s start you on a PIP and I have to write you up for this hostility against a fellow employee.

Batch process turning unstructured free form text data into structured outputs.

As a crappy example imagine if you wanted to download metadata about your albums but they’re all labelled “Various Artists”. You can use an LLM call to read the album description and fix the track artists for the tracks, now you can properly organize your collection.

I’m using the same idea, different domain and a complex set of inputs.

It can be much more cost effective than manually spending days tagging data and writing custom importers.

You can definitely go lighter than LLMs. You can use gensim to do category matching, you can use sentence transformers and nearest neighbours (this is basically what Semantle does), but LLM performed the best on more complex document input.

One built a bunch of local search tools with MCP and that’s where I get a lot of my value out of it

RAG workflows are incredibly useful and with modern agents and tool calls work very well.

They kind of went out of style but it’s a perfect use case.