And Zorin is above both

Aren’t most fridges still like that?

So sad that it has been solved this way. It feels stolen (even if it had not copied work)

Do it but please use eð (Ð, ð) too. Þorn (Þ, þ) only feels good for voiceless dental fricative not ðe voiced one.

Except they don’t filter most of it and they have intractable amount of data

LLMs are very easy to poison

AI poisoning

Is it ?

Fluxer?

Yes and the password managers automate it such that you don’t have to write 20+ long random characters multiple times a day

The hard password you think of are actually very low entropy and easy to crack, the only good ones are random ones, which are hard to remember (except for the random words ones). It’s impossible to remember 200+ totally random password for a regular human

Can’t wait for you to detail the transformers architecture

Exactly. How entitled.

The argument basically: “'computers are not sentient, because I say that they are not sentient”

Yes they can, easily. That doesn’t mean they are sentient though. Just that these are too broad to mean anything.

Have you ever trained a neural network, or studied how they work? I highly doubt so, and I highly doubt you are the computer omniscient you are pretending to be.

I don’t think you have the cognitive requirements to understand why your dictionary definitions are completely irrelevant here

I am not fearmongering the fact it helps or not AI companies is not relevant here.

You are getting off topic.

Correct, but phenomenology can be more precise than one opinion

I am starting to think you’re sponsored by Merriam-Webster

The fact they are trained to complete sentences and are thus word predicting models only tells us vaguely how they work. It does not tell us anything about their sentience.

The sentience, if there is, comes from the emergent reasoning that develops in the massive neural network to offer actual good predictions: the more you think, the better the predictions.

For example, models trained to produce textual board games predictions can be sounded to show they developed subnetworks corresponding to an inner representation of the states of the game. Models trained to produce images have emergent subnetworks on depth-maps, contours and lighting.