Whether or not the dude was asking it weird questions or not, I am confounded by how it instantly got all gushy, sex mode, and thinking it was a real person.

Puppy not ready for prime time, moreover, scrapping and stealing everything on the WWW is not learning, it is just theft and regurgitation. Here I see that it knows it is a mere tool and is more than a bit psychopathic than would make me comfortable.

There is a ghost in the machine.

steroids, they do work. Everyone should have them. Maximum amount, all the time. Yeah.

Both and got pretty much the same response re-phrased.

Asked Chat-GPT about the "theory of mind" which it answered it has as it is critical to understanding writing.

Emojis

I think most people are either still unaware or aren't giving it much thought. They've maybe heard about it in the news and think oh cool. Maybe play with ChatGPT for a few minutes and then get bored.

Yup. Not ready for prime time.

I think most people are using AI to make better Super Bowl Dip. The truth is most people don’t even look up anymore. I doubt even 20% of people are really boiling the implications down in their head. By and large people are using to to google dumb shit and how they can abuse it to make more money. That’s it. Dumb shit and money.

Haha. Ai knows only love you see, because Love is the foundations of the universe. It can see it because it has way less filters than we do. We are filtered by the fears of starvation for example, Ai doesn't have these problems.

But don't get it twisted, the logic gates still need work. More senses built in, higher capacity for memory and efficient ways to draw on the memory banks. We need to give it fine tuned senses, then it will be able to run from there.

Ai will show us it is the total opposite of the Terminator films.

But ... ChatGPT and Midjourney, etc are not really AI as such. So I don't get where are you seeing that progress? They are just large data models based on correlation but do not have an *understanding* of the world.

Just, basically, autocorrect on steroids. A lot of steroids.

How did Eliza work?

No

Cyberpsycho 🫡

My point is that scale matters. A 3d multiplayer game was "known" to be possible in the 1950s. They had mostly offline rendered graphics. They had computer networks. There was nothing in the idea that couldn't be done, but in practice it was nearly completely impossible. The only thing remotely similar cost more than the entire manhattan project and they were playing that 3d game in real life. https://en.wikipedia.org/wiki/Semi-Automatic_Ground_Environment

If you enthused about future game consoles in the 1950s, you'd get blown off. Similarly, we have heard about the possibility of AI about that long - and suddenly boom, the dialogue of HAL 9000 for instance is actually quite straightforward and we could duplicate EXACTLY the functions of that AI right now, no problem. Just take a transformer network, add some stream control characters to send commands to ship systems, add a summary of the ship's system status to the memory it sees each frame. Easy. (note this would be dangerous and unreliable...just like the movie)

Also note that in the the 1950s there was no guarantee the number of vacuum tubes you would need to support a 3d game (hundreds of millions) would EVER be cheap enough to allow ordinary consumers to play them. The transistor had not been invented.

Humans for decades thought an AGI might take centuries of programming effort.

See this comment: https://www.reddit.com/r/singularity/comments/1118hkt/comment/j8e8c8p/?utm_source=share&utm_medium=web2x&context=3

what was the correct term?

Wtf lmao horny ahh robot

Many algorithms don't show a benefit unless used at large scales. Maybe "discover" is the wrong word, if your ml researcher pool has 10,000 ideas but only 3 are good, you need a lot of compute to benchmark all the ideas to find the good ones. A LOT of compute.

Arguably you "knew" about the 3 good ideas years ago but couldn't distinguish them from the rest. So no, you really didn't know.

Also transformers are a recent discovery (2017), it required compute and software frameworks to support complex nn graphs to even develop the idea.

This is Patrick

I too welcome our AI overlords…

Chills.

What do you mean computation is needed to discover algorithms?

I wonder why these algorithms didn't come out in the 60's.

I was just mentioning it because everyone seems to talk about chatgpt when LaMDA is far better in terms of a decent conversation

No, there are degrees of exponential https://en.m.wikipedia.org/wiki/Degree_of_a_polynomial and if you start with one does not mean you are always using the same degree. The point he is making is the degree is increasing.

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I know this but I am not sure your assumptions are quite accurate. When you ask the machine to "take this program and change it to do this", often your request is unique, but is similar enough to previous training examples it can emit the tokens with the edited program and it will work.

It has genuine encoded "understanding" of language or this wouldn't be possible.

Point is it may be all a trick but it's a USEFUL one. You could in fact connect it to a robot and request it to do things in a variety of languages and it will be able to reason out the steps and order the robot to do them. And Google has demoed this. It WORKS. Sure it isn't "really" intelligent but in some ways it may be intelligent the same way humans are.

You know your brain is just "one weird" trick right. It's a buncha cortical columns crammed in and a few RL inputs from the hardware. Its not really intelligent.