The term "artificial intelligence" is a lie. It is hype - a marketing term used by people trying to create a market, create demand, and then sell a product to meet the manufactured demand.
In reality, A.I. is more accurately referred to as "machine learning". The systems and LLM's can find patterns in data, and then perform specific actions when specific patterns are found. That is all. There is no comprehension at all.
In other words, A.I. has zero understanding of the meaning of any of the words that it accepts as input or produces as output. It only understands patterns and relationships between all of the unknown words, which it finds by analyzing literally billions of examples.
I think the real push for the whole A.I. scam is to provide cover for the globohomo cabal when the videos of their many crimes are publicized... they can say "it's all fake A.I.... that was not me", etc.
In reality, machine learning is incredibly expensive and not very useful in most real-world scenarios. It is a classic "solution in search of a problem", and provides no actual ROI for business... just like all the other fads that have come and gone in recent years.
AGI (artificial general intelligence) would be a true intellect like a human. Based on everything we know, the machine learning A.I. is nowhere near achieving AGI... which means either Elon is talking out of his ass, or there are technologies in play behind the scenes that we, the general public, know nothing about.
Thank you!! I thought I was missing something here. But you pretty much reiterated was I already was feeling intuitively about AI. Another hype to make people afraid of something unseen.
... not very useful in most real-world scenarios. It is a classic "solution in search of a problem", and provides no actual ROI for business... just like all the other fads that have come and gone in recent years.
Man, I don't have the time at this second to drop some info here, but I just wanted to say you are VERY wrong on this. Wildly wrong.
Cool story bro... But massive distributed software systems, big data and data analytics is what I do for a living (and have for the past 25 years now).
The cost of constantly training the LLM's plus the infrastructure costs are just too damn high when using real data for training, and trying to use A.I. generated data to train the models results in more and more "hallucinations" (the bullshit term they use for garbage outputs). Trying to train the LLM with generated inputs ultimately wrecks the whole model.
Businesses don't have anything they can sell from the machine learning outputs that are able to earn more money than all the massive infrastructure and model training costs... which means negative ROI. They end up losing money.
Chat GPT infrastructure alone costs almost a quarter of a Billion dollars a year in the AWS cloud - and that does not include any of the huge costs of training the models (lots of people manually labeling and categorizing and tagging all the inputs and then scoring all the outputs... very time consuming and very expensive - and it NEVER ENDS).
So - I would say that you are the one that is "wildly wrong".
Now in terms of building a total surveillance state to enslave humanity (like communist China is doing right now)... the capabilities of "A.I." are indeed extremely useful... and tyrannical governments usually have deep pockets. That right there is your best potential market.
I've been PE at FAANG/MAMAA for about 15 years now. So. Hi.
I think if you are solely positioning your thesis around LLMs, then I think it's precarious. My personal ROI as an Engineer is insane. I'm far more productive by all measures. If you're a desk-worker and haven't figured out how to augment your productivity with an LLM, you're going to be left behind.
Other baked ML algos trained faster on discrete datasets already has multiple ROI positive applications, and has for years. Cataloging, CV, predictive analytics, speech recognition, NLP, etc. etc. I can't imagine you've not seen this if you truly are in big data?
The term "artificial intelligence" is a lie. It is hype - a marketing term used by people trying to create a market, create demand, and then sell a product to meet the manufactured demand.
In reality, A.I. is more accurately referred to as "machine learning". The systems and LLM's can find patterns in data, and then perform specific actions when specific patterns are found. That is all. There is no comprehension at all.
In other words, A.I. has zero understanding of the meaning of any of the words that it accepts as input or produces as output. It only understands patterns and relationships between all of the unknown words, which it finds by analyzing literally billions of examples.
I think the real push for the whole A.I. scam is to provide cover for the globohomo cabal when the videos of their many crimes are publicized... they can say "it's all fake A.I.... that was not me", etc.
In reality, machine learning is incredibly expensive and not very useful in most real-world scenarios. It is a classic "solution in search of a problem", and provides no actual ROI for business... just like all the other fads that have come and gone in recent years.
AGI (artificial general intelligence) would be a true intellect like a human. Based on everything we know, the machine learning A.I. is nowhere near achieving AGI... which means either Elon is talking out of his ass, or there are technologies in play behind the scenes that we, the general public, know nothing about.
Thank you!! I thought I was missing something here. But you pretty much reiterated was I already was feeling intuitively about AI. Another hype to make people afraid of something unseen.
Man, I don't have the time at this second to drop some info here, but I just wanted to say you are VERY wrong on this. Wildly wrong.
Cool story bro... But massive distributed software systems, big data and data analytics is what I do for a living (and have for the past 25 years now).
The cost of constantly training the LLM's plus the infrastructure costs are just too damn high when using real data for training, and trying to use A.I. generated data to train the models results in more and more "hallucinations" (the bullshit term they use for garbage outputs). Trying to train the LLM with generated inputs ultimately wrecks the whole model.
Businesses don't have anything they can sell from the machine learning outputs that are able to earn more money than all the massive infrastructure and model training costs... which means negative ROI. They end up losing money.
Chat GPT infrastructure alone costs almost a quarter of a Billion dollars a year in the AWS cloud - and that does not include any of the huge costs of training the models (lots of people manually labeling and categorizing and tagging all the inputs and then scoring all the outputs... very time consuming and very expensive - and it NEVER ENDS).
So - I would say that you are the one that is "wildly wrong".
Now in terms of building a total surveillance state to enslave humanity (like communist China is doing right now)... the capabilities of "A.I." are indeed extremely useful... and tyrannical governments usually have deep pockets. That right there is your best potential market.
I've been PE at FAANG/MAMAA for about 15 years now. So. Hi.
I think if you are solely positioning your thesis around LLMs, then I think it's precarious. My personal ROI as an Engineer is insane. I'm far more productive by all measures. If you're a desk-worker and haven't figured out how to augment your productivity with an LLM, you're going to be left behind.
Other baked ML algos trained faster on discrete datasets already has multiple ROI positive applications, and has for years. Cataloging, CV, predictive analytics, speech recognition, NLP, etc. etc. I can't imagine you've not seen this if you truly are in big data?