I liked generative AI more when it was just a funny novelty and not being advertised to everyone under the false pretenses of being smart and useful. Its architecture is incompatible with actual intelligence, and anyone who thinks otherwise is just fooling themselves. (It does make an alright autocomplete though).
this post was submitted on 19 Mar 2025
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The peak of AI for me was generating images Muppet versions of the Breaking Bad cast; it's been downhill since.
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Meanwhile a huge chunk of the software industry is now heavily using this "dead end" technology 👀
I work in a pretty massive tech company (think, the type that frequently acquires other smaller ones and absorbs them)
Everyone I know here is using it. A lot.
However my company also has tonnes of dedicated sessions and paid time to instruct it's employees on how to use it well, and to get good value out of it, abd the pitfalls it can have
So yeah turns out if you teach your employees how to use a tool, they start using it.
I'd say LLMs have made me about 3x as efficient or so at my job.
I think the human in the loop currently needs to know what the LLM produced or checked, but they'll get better.
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Pump and dump. That’s how the rich get richer.
Imo our current version of ai are too generalized, we add so much information into the ai to make them good at everything it all mixes together into a single grey halucinating slop that the ai ends up being good at nothing.
We need to find ways to specialize ai and give said ai a more consistent and concrete personality to move forward.
Imo to make an ai that is truly good at everything we need to have multiple ai all designed to do something different all working together (like the human brain works) instead of making every single ai a personality-less sludge of jack of all trades master of none
Mixture of experts is the future of AI. Breakthroughs won't come from bigger models, it'll come from better coordinated conversations between models.
They did that awhile ago, it was a big feature if gpt 3
We already did this like a year ago mate. That was like v3 of gpt
Yeah but its like....pretty half baked
No, it's just not something exposed to you to see
But under the hood it very much does shift gears depending on what you ask it to do
It's why gpt can do stuff now like analyze contents of images, basic OCR, but also generate images too.
Yet it can also do math, talk about biology, give relationship advice....
I believe open AI called the term "specialists" or something vaguely like that, at the time.
Worst case scenario, I don't think money spent on supercomputers is the worst way to spend money. That in itself has brought chip design and development forward. Not to mention ai is already invaluable with a lot of science research. Invaluable!
The cope on this site is so bad sometimes. AI is already revolutionary.
That may be true technologically. But if the economics don't add up it's a bubble.
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Take a car that's stuck in reverse, slap a 454 Chevy big block in it. You'll have a car that still drives the wrong way; but faster.
Say it isn't so...
Its not a dead end if you replace all big name search engines with this. Then slowly replace real results with your own. Then it accomplishes something.