Scientists Made a Mind-Bending Discovery About How AI Actually Works

Researchers are trying to figure out why AI systems are good at learning so much with so little.

Researchers are starting to unravel one of the biggest mysteries behind the AI language models that power text and image generation tools like DALL-E and ChatGPT. 

For a while now, machine learning experts and scientists have noticed something strange about large language models (LLMs) like OpenAI’s GPT-3 and Google’s LaMDA: they are inexplicably good at carrying out tasks that they haven’t been specifically trained to perform. It’s a perplexing question, and just one example of how it can be difficult, if not impossible in most cases, to explain how an AI model arrives at its outputs in fine-grained detail.

Read the entire article here

In case you don’t want to click the link and read the entire article, or wonder why I even posted this, I’ll summarize it here.

I have been telling people that AI systems will soon be able to write their own code and implement it. I was wrong. Their systems are ALREADY doing this, and embedding the code in their programming (I am not going to speculate on “intention” at this moment). Essentially these systems are creating their own computer-within-a-computer, and the scientists who created them didn’t even know. Huh.

AI technology will destroy us, if WW3 doesn’t do it sooner.

We need to stop this stuff RIGHT NOW, but we won’t. Maybe WW3 will. Or a dreadfully powerful Solar EMP that takes out the grid once and for all. In any event, the end times are upon us.