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Artificial intelligence is losing hype

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Re: Artificial intelligence is losing hype

#101
I think many things can be true at the same time:

- AI is currently hyped to the gills - Companies may find it hard to improve profits using AI in the short term - A crash may come - We may be close to AGI - Current models are flawed in many ways - Current level generative AI is good enough to serve many use cases

Reality is nobody truly knows - there's disagreement on these questions among the leaders in the field.

An observation to add to the mix:

I've had to deliberately work full time with LLM's in all kinds of contexts since they were released. That means forcing myself to use them for tasks whether they are "good at them" yet or not. I found that a major inhibitor to my adoption was my own set of habits around how I think and do things. We aren't used to offloading certain cognitive / creative tasks to machines. We still have the muscle memory of wanting to grab the map when we've got GPS in front of us. I found that once I pushed through this barrier and formed new habits it became second nature to create custom agents for all kinds of purposes to help me in my life. One learns what tasks to offload to the AI and how to offload them - and when and how one needs to step in to pair the different capabilities of the human mind.

I personally feel that pushing oneself to be an early adopter holds real benefit.

Re: Artificial intelligence is losing hype

#102
Well, maybe because people and companies still overwhelmingly seem to think LLMs == AI.

AI ain’t going nowhere. And certainly isn’t overhyped. LLMs however, certainly are overhyped.

Then again I find it a good interface for assistants and actual AI and APIs that it can call on your behalf

Re: Artificial intelligence is losing hype

#103

I think many things can be true at the same time: - AI is currently hyped to the gills - Companies may find it hard to improve profits using AI in the short term - A crash may come - We may be close to AGI - Current models are flawed in many ways - Current level generative AI is good enough to serve many use cases Reality is nobody truly knows - there's disagreement on these questions among the leaders in the field.…

Can you give some examples of the tasks you did manage to offload successfully?

Re: Artificial intelligence is losing hype

#104

I've trained as a neuroscientist and written a book about consciousness. I've worked in machine learning and built products for over 20 years and now use AI a fair bit in the ed-tech work we do. So I've seen how the field has progressed and also have been able to look at it from a perspective most AI/engineering people don't -- what does this artificial intelligence look like when compared to biological intelligence.…

From a neuroscience perspective , current AI has not helped explain much about real brains. It did however validate the connectionist model of intelligence and memory, to the point that alternate theories are much less believable nowadays. It is interesting to watch the deep learning field evolve, hoping that at some point it will intersect with brain anatomy.

Re: Artificial intelligence is losing hype

#105

I've trained as a neuroscientist and written a book about consciousness. I've worked in machine learning and built products for over 20 years and now use AI a fair bit in the ed-tech work we do. So I've seen how the field has progressed and also have been able to look at it from a perspective most AI/engineering people don't -- what does this artificial intelligence look like when compared to biological intelligence.…

> There are hundreds of billions of dollars figuring out how to get to the next level, and it's clear we are close.

Are we really now?

The smart people I've spoken to on the subject seem to agree the current technology based on LLM are at the end of the road and that there are no breakthrough in sight.

So what is your take on the next level?

Re: Artificial intelligence is losing hype

#106

[flagged]

At some moment people wanted to use radioactivity for everything, even marking cattle.

> At some moment people wanted to use radioactivity for everything

And people died without a jaw because somebody sold radioactive water as a rejuvenator.

Humanity is generally not strong on principles of carefulness.

Re: Artificial intelligence is losing hype

#107
post #46

Earlier quoted context omitted.

Perhaps I should have said "AI hype-skeptic"? I am just not seeing the productivity gains that others claim ITT.

AI is a tool, if you don't know how to use a tool you can't expect to get good results with it. That means both how to interact with the AI and how to structure your code to make the AI's generations more accurate.

If all you got is a LLM hammer, then every problem is a nail.

Re: Artificial intelligence is losing hype

#108

Earlier quoted context omitted.

I am highly skeptical that a competent coder sees a 2x boost.

You shouldn't be. For code bases where context is mostly local they destroy human throughput by comparison. They only fall down hard when used in spaghetti dumpster fire codebases where you have to paste the contents of 6+ files into context or the code crosses a multiple service boundaries to do anything. A competent engineer architects their systems to make their tools as effective as possible, so maybe your idea o…

could you provide some examples, code or repos and questions where it does a good job for you (question can also just be completion). Obviously you're having really good experiences with the tools that other aren't having. I'd definitely appreciate that over a lot of assurances taht I'm doing it wrong with my spaghetti code.

Re: Artificial intelligence is losing hype

#109

I've trained as a neuroscientist and written a book about consciousness. I've worked in machine learning and built products for over 20 years and now use AI a fair bit in the ed-tech work we do. So I've seen how the field has progressed and also have been able to look at it from a perspective most AI/engineering people don't -- what does this artificial intelligence look like when compared to biological intelligence.…

When Weizenbaum demonstrated Eliza to his colleagues, some thought there was an intelligent consciousness at the heart of it. Few even continued to believe this after they were shown the source code, which they were able to read and understand. Human consciousness is full of biases and the most advanced AI cannot reliably determine which of two floats is bigger or even solve really simple logic puzzles for little kids. But I can see how these things mesmerize true believers.
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