AI is a crutch for dumb people.

I will say, it helps a ton within VS code.

You can tell who’s going to grow up into the current generations tech illiterate elderly based on how people talk about AI today.

When AI is actually invented I’ll call it AI. Right now we have a steroid juiced parrot that’s based on old school machine learning. Its great at summarizing simple data, but terrible at real tasks. This is more people who aren’t dumb telling the marketing teams to stop hyping something that doesn’t exist. The dot com boom is echoing. The profit will never materialize.

But the profit absolutely can materialize because it is useful. Right now the problem is hardware / data center costs, but those can come down at a per user level. They just need to make it useful enough within those cost constants which is 100%wl without a doubt possible, it’s just a matter of can they do it before they run out of money.

The current machine learning models (AI for the stupid) rely on input data, which is running out. Processing power per watt is stagnating. Moors law hasn’t been true for years. Who will pay for these services? The dot com bubble destroyed everyone who invested in it. Those that “survived” sprouted off of the corpse of that recession. LLMs will probably survive, but not in the way you assume. Nvidia helping openAI survive is a sign that the bubble is here and ready to blow.

rely on input data, which is running out. Thats part of the equation, but there is still a lot of work that can be done to optimize the usage of the llms themselves, and the more optimized and refined they are, the cheaper it becomes to run, and you can also use even bigger datasets that weren’t feasible before. I think there’s also a lot of room to still optimize the data in the data set. Ingesting the entire worlds information doesn’t lead to the best output, especially if you’re going into something more factual like a LLM trained to assist with programming in a specific language. And people ARE paying for it today, OpenAI has billions in revenue, the problem is the hardware is so expensive, the data centeres need to run it are also expensive. They need to continue optimizing things to narrow that gap. Open AI charges $20 USD/month for their base paid plan. They have millions of paying customers, but millions isn’t enough to offset their costs. So they can reduce costs so millions is enough make it more useful so they can gain more users. This is so early that they have room to both improve 1 and 2. But like I said, they (and others like them) need to figure that out before they run out of money and everything falls apart and needs to be built back up in a more sustainable way.