Corn Woman 🌽 @WomanCorn@schelling.pt

LLMs are not sentient, and are not people, but behaving towards them in a way that it would be bad to behave towards people is probably bad for you.

Training yourself to be cruel is bad for you.

Reminder that you shouldn't listen to me about anything. I'm a dilettante and my knowledge is a mile wide an an inch deep.

In 30 years, LLMs will be used for short text generation in products that aren't considered to be AI anymore.

We won't ever hit Peak Parameters, because a new paradigm will appear and draw people away from LLMs before we do.

We will reach a point of diminishing returns on increasing parameters within the next 20 years, where the cost of hardware to increase parameter counts isn't worth the increase in value you get from the model.

We will reach Peak Training Data in the next five years, where you can't improve the model by feeding it more training data because you're already using everything worth using.

Because the babble problem isn't solved, people will learn not to trust the output of an LLM. Simple, raw factual errors will be caught often enough to keep people on their toes.

It will put cheap copywriters out of a job, but will never be good enough for research.

The babble problem will not be solved. Effectively ever. It cannot be solved without a major change in architecture.

Large Language Model Predictions:

Social Reasoning is when you look around you to see what other people are saying, then conclude that that must be true.

ChatGPT shows us how much work it is to keep an LLM on the rails.

Bing shows us how bizarre it can be when it goes off the rails.

Have you noticed that ramen noodles mostly taste the same regardless of what alleged flavor they are?

Good news: they have invented a flavor that doesn't do this.

Bad news: It's "chili" flavor and tastes like Minnesota tacos.

_Kaguya-sama: Love is War -The First Kiss That Never Ends-_

Always wonderful to see more of this manga adapted. (I hope they do the whole thing, but evidence of that is thin on the ground.)

Serves as a good endcap anyway.