teaearlgraycold

As an uninformed idiot my guess is we have more than enough compute in various labs to run a sentient model. But I doubt any models we’re currently running could qualify.

Kind of like how we could have ran Qwen 3.8 27B 20 years ago on an expensive computer. The technology to make it happen, assuming you knew exactly what was required, existed back then.

The human body has the ability to automate some muscular movements so the brain is out of the loop. Maybe these LLMs should be allowed to write in a small DSL that can trigger events out-of-band (something like "Oh fuck there's a spider, I'll set up a click spam loop and check in every 500ms").

One of the celebrity deaths I actually care about. Rest in peace.

> AlpineBSD is an operating system based on the NetBSD kernel with a userspace inspired by Alpine Linux and the objective of making it possible to use as little AI-generated software as possible.

Fucking get over yourself.

Release date? I know someone that has one right now.

Might even work as a basic Facebook machine.

I think the rumors are the M6 and then later M7 Pro/Max will be put into a new chassis with a touchscreen and no notch.

Similar class of chip, but I use the rp2350 to perform computer vision with LiDAR to detect when people leave dishes in a sink and beep angrily at them.

> if they go to $20T, we're all fucked

Maybe I’m naive but I expect any kind of “we’re just taking over the world now” event with any AI company will be met with enough resistance from 99.99999% of the world’s population that they’ll have to make it a sweet deal for us if they want to survive.

Damn sounds like easy money.

No. We should be very bold.

Interestingly I've seen Claude get stopped when I asked it to reverse engineer my Steam Frame's firmware and then it restarted the process on its own because it's my own hardware and finished the job without further interruptions.

I exaggerate, but many of the examples will be code and whether it passes static analysis, or compiled code and the original source (which would teach it how to reverse engineer), etc.

I don't think the other answers you're getting are right at all. AI isn't good at product/design decisions because it's not as easy to generate trillions of objectively right/wrong examples in those other domains. The training data isn't there yet.