When I have kids, I’m gonna make sure the first AIs they get exposed to are really old dumb ones while I explain how they work. Then maybe they’ll always have that little bit of wariness in the back of their minds, like I got because I used those old dumb AIs when they first came out.

Considering in the past, even before AI, there have been games put in the store without an executable file, this rule makes sense and should’ve existed long ago.

The apes settle their differences and none of them are forced out of the jungle into the plains.

And BAM, humans no longer exist.

I grew up in Connecticut which is largely an irrelevant state, but whenever I see maps like this Connecticut ends up being close to the top which makes me feel good.

Petition to have maps change the names of all cities, states, and landmarks to America or some variation of America.

This CoD has a singleplayer campaign, so you’d get that.

You and I have a similar workflow. One thing AI solved for me is not having to hunt obscure specific documentation or wade through unhelpful forums. It also helps make a test script for when I want to see if something’s working without another 20 minute sidequest.

I’m mainly referring to the people who want the AI to do all the work, which has unfortunately become a common expectation lately. Some people want to feel like programmers without ever reading or writing any of the raw code.

I’d say I actually fall in that camp. Right now I’m trying to set up an open source AI assistant that’s like, a little dumb but can still help me while I’m coding.

My ideal relationship with AI is this image:

Really shows the difference between the “I like problem solving” crowd and the “I like shiny tech and everyone said this would make money” crowd.

An AI agent making a frontend for a bot stopping tool in order to appease corporate drones.

It’s robots all the way down!

They might as well just die, after all god-grok will resurrect them right?

Turns out putting sawdust into our rice krispies made people stop buying our product.

Apparently they want the “rice premium”.

I wonder if a parrot can be trained to do a podcast, a significant amount of them are just parroting each other anyways.

It would be cool if it was like that.

But I think the reason was more or less if you didn’t have help from the force you’d end up cutting yourself trying to do acrobatics, which is a much funnier explanation.

From what I understand, pain is generally defined as our neurons wasting energy.

If we assume the Free Energy Principle is fundamental, then updating information produces free energy, which is more intuitive to think of as wasted energy. Overfitted/overcomplicated beliefs take more energy more often to fix to be more accurate. So free energy is defined at complexity of belief minus accuracy of belief.

The brain over evolution has defined a very ingrained belief that “my pain sensors shouldn’t activate” so when your pain sensors activate it violates this belief.

Emotions are actually condensed representations of your bodily state and some of your mental state, and whether they are good or bad depends on if you can predict your emotions. For instance you feel fear because you are trying to predict your pain sensors will go off to reduce its pain, but you keep predicting it’ll happen when it hasn’t yet. It’s also why anger during a boxing fight could feel good and anger when you stub your toe does not, one was predictable the other a surprise.

Assuming all the links in the chain of theories are true, then current LLMs cannot feel pain or emotion. They care about prediction error and sometimes complexity during training, but during inference it doesn’t get any signal or consequence for delivering the wrong token. It has no internal state except for the context window, which is never surprising for the LLM. The attention layers literally guides the model for what is most expected from the text it’s handed.

Even if the LLM received a negative training signal during inference, acting wounded after pain is the expected response. A random sequence of gibberish would be more “painful” than any torture fantasy.

On top of all this, the Free Energy Principle works because on a cellular neuron level we are built to reduce wasted energy, free energy being one source of wasted energy. LLMs are built on matrix multiplication running through GPUs and neither are even aware of the energy wasted, nor the free energy produced from changing values.

I think a feeling machine is possible, but the foundation of neural networks right now don’t have the necessary components to drive any subjective sensation or emotion.

Looks like a Renaissance painting.

“Do politics” in this case refers to talking about anything that can be perceived as political.

Obviously people need to be willing to talk about issues before we can fix them, instead of everyone with privilege choosing to ignore it until they personally are affected.

Oh god, I think I’m in love:

This pedantic argument annoys me so much. We’ve called basic ass decision trees for NPCs in games AI for a while now, any program that can make a decision based on data is an AI.

If you don’t like it, you’re more than free to provide the world with a true all-encompassing definition of intelligence that everyone can agree on, you’ll join all the others that tried.

What is shown is just an online tool for showing true continent size. This is the equal earth projection, and you’ve probably already seen it in schools: