"Confidently incorrect" I think describes a lot of AI aficionados.

Some people can only hear "AI means I can pay people less/get rid of them entirely" and stop listening.

I've noticed that the people most vocal about wanting to use AI get very coy when you ask them what it should actually do.

I really like the idea of an LLM being narrowly configured to filter, summarize data which comes in at a irregular/organic form.

You would have to do it multiples in parallel with different models and slightly different configurations to reduce hallucinations (Similar to sensor redundancies in Industrial Safety Levels) but still, ... that alone is a game changer in "parsing the real world" .... that energy amount needed to do this "right >= 3x" is cut short by removing the safety and redundancy because the hallucinations only become apparent down the line somewhere and only sometimes.

They poison their own well because they jump directly to the enshittyfication stage.

So people talking about embedding it into workflow... hi... here I am! =D

Eh, my best coworker is an LLM. Full of shit, like the rest of them, but always available and willing to help out.

The answer is that it's all about "growth". The fetishization of shareholders has reached its logical conclusion, and now the only value companies have is in growth. Not profit, not stability, not a reliable customer base or a product people will want. The only thing that matters is if you can make your share price increase faster than the interest on a bond (which is pretty high right now).

To make share price go up like that, you have to do one of two things; show that you're bringing in new customers, or show that you can make your existing customers pay more.

For the big tech companies, there are no new customers left. The whole planet is online. Everyone who wants to use their services is using their services. So they have to find new things to sell instead.

And that's what "AI" looked like it was going to be. LLMs burst onto the scene promising to replace entire industries, entire workforces. Huge new opportunities for growth. Lacking anything else, big tech went in HARD on this, throwing untold billions at partnerships, acquisitions, and infrastructure.

And now they have to show investors that it was worth it. Which means they have to produce metrics that show people are paying for, or might pay for, AI flavoured products. That's why they're shoving it into everything they can. If they put AI in notepad then they can claim that every time you open notepad you're "engaging" with one of their AI products. If they put Recall on your PC, every Windows user becomes an AI user. Google can now claim that every search is an AI interaction because of the bad summary that no one reads. The point is to show "engagement", "interest", which they can then use to promise that down the line huge piles of money will fall out of this pinata.

The hype is all artificial. They need to hype these products so that people will pay attention to them, because they need to keep pretending that their massive investments got them in on the ground floor of a trillion dollar industry, and weren't just them setting huge piles of money on fire.

Quantum! don't forget quantum, you filthy peasant.

Please, stay with the time. We're at Web 6.0 already.