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AI learns the “dark art” of RFIC design

spectrum.ieee.org

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Re: AI learns the “dark art” of RFIC design

#41

Post by krainboltgreene »

vlian2088 wrote: post #37
t-writescode wrote: post #25

I’m a bit frustrated. AI can do a looot of things; but I think as we continue to muddy the waters between LLMs and more traditional machine learning like Monte Carlo, Genetic Algoriths, Expert Systems and other Statistics magic tricks, we’re too aggressively conflating established and morally neutral activities in ML with the concerns that people have about LLMs and Stable Diffusion. Though I also imagine that that i…

[flagged]

This is such a strange attitude to have. How can you look at the history of the world and be so caustic to concern?

Re: AI learns the “dark art” of RFIC design

#43

Post by esikich »

johnnyApplePRNG wrote: post #31

Hopefully one day AI will design away the need for popups and other-things-that-prevent-you-from-reading-the-damn-article.

Yep, can't wait until everything is free and costs nothing to generate content. Free hosting and electricity will be super sweet too. Won't need admins or even the Internet. Everything I want will just be free for me because I don't think anything has value.

Re: AI learns the “dark art” of RFIC design

#44

Post by twnettytwo »

t-writescode wrote: post #25

I’m a bit frustrated. AI can do a looot of things; but I think as we continue to muddy the waters between LLMs and more traditional machine learning like Monte Carlo, Genetic Algoriths, Expert Systems and other Statistics magic tricks, we’re too aggressively conflating established and morally neutral activities in ML with the concerns that people have about LLMs and Stable Diffusion. Though I also imagine that that i…

Just as more successful machine learning fields distanced themselves from the term during the AI winter, I suppose we will (and perhaps are?) be seeing them adopt it again, now that we are in an "AI summer".

Re: AI learns the “dark art” of RFIC design

#45

Post by oceanplexian »

Wowfunhappy wrote: post #33
t-writescode wrote: post #25

I’m a bit frustrated. AI can do a looot of things; but I think as we continue to muddy the waters between LLMs and more traditional machine learning like Monte Carlo, Genetic Algoriths, Expert Systems and other Statistics magic tricks, we’re too aggressively conflating established and morally neutral activities in ML with the concerns that people have about LLMs and Stable Diffusion. Though I also imagine that that i…

I wish I could wave a magic wand and just make the word "AI" go away. It has no actual meaning. It could mean anything from your opponent in Mario Kart to Stable Diffusion.

I disagree. AI is doing exactly what it was predicted it would in science fiction.

The computer can now literally talk to you in natural language and then perfectly produce sophisticated actions in response to completely arbitrary and unstructured input. It trivially passes the Turing test. By any definition prior to the year 2023 we are living with Artificial General Intelligence and it’s here now.

Re: AI learns the “dark art” of RFIC design

#46

Post by zephen »

jcims wrote: post #18

Reminds me of this old article - https://www.damninteresting.com/on-the-origin-of-circuits/ One of my favorite little morsels of internet goodness.

Yes. An example of a species so specialized and optimized that it can no longer adapt. Also, an example of POSIWID.

Re: AI learns the “dark art” of RFIC design

#48

Post by pixl97 »

georgeecollins wrote: post #28
t-writescode wrote: post #25

I’m a bit frustrated. AI can do a looot of things; but I think as we continue to muddy the waters between LLMs and more traditional machine learning like Monte Carlo, Genetic Algoriths, Expert Systems and other Statistics magic tricks, we’re too aggressively conflating established and morally neutral activities in ML with the concerns that people have about LLMs and Stable Diffusion. Though I also imagine that that i…

It is a problem because people will talk about what AI can do implying that an LLM can do that thing, making it seem like a pure LLM can do almost anything. On the other hand people will say AI will never be able to do X because an LLM can’t do that thing well natively. AI has become too vague of a term to be useful.

We're relearning that intelligence is spikey, and that different things that we consider 'intelligent' can have vastly different capabilities.

Re: AI learns the “dark art” of RFIC design

#49

Post by mdp2021 »

Wowfunhappy wrote: post #33
t-writescode wrote: post #25

I’m a bit frustrated. AI can do a looot of things; but I think as we continue to muddy the waters between LLMs and more traditional machine learning like Monte Carlo, Genetic Algoriths, Expert Systems and other Statistics magic tricks, we’re too aggressively conflating established and morally neutral activities in ML with the concerns that people have about LLMs and Stable Diffusion. Though I also imagine that that i…

I wish I could wave a magic wand and just make the word "AI" go away. It has no actual meaning. It could mean anything from your opponent in Mario Kart to Stable Diffusion.

"AI" == "what (through tech) can replace a professional"

It may seem similarly vague, but it does in fact open interesting, productive, and necessary questions. A "computer" was a professional crunching numbers - "replaced", "easily" because of the deterministic procedural nature of said work, but what about the technical effort to arrive there, and what about the less "mechanical" jobs? When do "processes" become "intelligence"?

Some of us had studied AI originally to study the mind - "how do we formalize thought". It's the interdisciplinary, transversal nature of the area.

Also maybe compare that with that large and important intersection between CS and Economics - the "science of optimization" and its implementation in efficient IT systems. The effort in terms of that different discipline may not be evident, yet lots of engineering is "optimizing" and the generalization of those solutions we call Economics (see the book Algorithms to live by).

So: the term "Artificial Intelligence" may not be important as CS solutions to practical problems are built (you just focus on the better solution), but there is relevance to the "side disciplince" of AI, and from that perspective that is the cone, the scope anyway. "How would an intelligent solver approach the problem".

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