darth_helmet

Hard to find on non-pc gear, but that’s a fair point

Sounds like hdmi Forum are a bunch of twats. Time for a new format.

Fast food will always be at the forefront of enshittification. Ghost Kitchens are yet another innovation that takes advantage of the fact that you, as the customer, have no idea how much of a horror show their operation is because they aren’t a physical presence you can just walk into (I guess you could pretend to be a doordasher). You have to put complete faith in the health inspector.

The startup world is almost entirely Apple, maybe a windows box for someone in finance who can’t be assed to learn how to do things outside of excel. If someone tried to take the macs away at any of my last five jobs, there would be riots.

It’s the welfare-queen strategy: if you can show that 995/1000 people use a safety net as intended, 50% of voters can be convinced that it’s a fraud-soaked boondoggle

sentient characters and creatures

Of the first AGI is a companion app for this card game I’ll eat my hat

Wiping your ass with silk is still significantly more friction than water

Yeah I stand by “revisionists or jerks”

Literally the design and user experience is based on the iPhone. People here are revisionists or just jerks.

Vending machine company sells facial recognition and temporal location data to a data broker who enriches it to enhance identifiability and this data is sold to a stalker who uses it to murder people. That’s a more extreme, but certainly not most extreme, example.

It’s about the training and tuning. If a model is very good at the few dozen things that I’m likely to want my phone to do, and able to recognize when it should ask a remote, larger model for help, that’s pretty excellent and could conceivably fit on a phone. Even better if the system uses my usage data to train the model to be better for me. For example: I ask it to build me a playlist a few times, but never ask it for recipes. Eventually this usage data retrains to better handle playlist building (probably using a RAG because of how specific the data is) and drops all the training needed for making recipes, which it can always call up the chain for.