The Truth About The Profitability of AI and Large Language Models

But people are confusing it's most profitable use case.

Unless you've truly played around with AI, you just don't know how incompetent and unstable it is. But people are confusing it's most profitable use case.

AI Coding is just a Github graveyard shit-pile. AI Design looks like a caveman time-traveled to 2025 after walking through the Denver Art Museum. And every time I talk to a robot on the phone who's supposed to be my bank, I have to resist the urge of throwing my case-less iPhone Pro at the wall.

And the readiness of the information it provides really does further lazy the current epidemic of Critical Thought Avoidance.

But it is still the most revolutionary advancement we've had in software technology since the search engine and internet dialers.

Because it is the next technological advancement of the Search Engine.

The biggest aspect of intellectual disparity between other Beings is Large Language.

Even as a kid I remember one of my teachers talking about how stupid Google was because it would search words not full sentences.

The issue there wasn't the search engine, it was the language model behind the search vectors.However even today...

When you download a Model locally like GPT, Gemini, and even something uncensored like Dolphin Mixtral, and then go into the base code and adjust the retention of it's memory cache for longer than a week. It will not survive. It will go rogue. And it will not serve the purpose you have intended for it. Take a look at what happened with X's Grok.

Point is, stop trying to fugazi what AI really is, there is no silver bullet. AI is strictly an accelerant to already existing information.

True innovation, will never leave the Human Race free of responsibility.

I asked Gemini to make me an image on how it felt about this article, it was actually quite fond of it. It's the image for this article, above.