Retool, a development platform for business software, recently published the results of its State of AI survey. Over 1,500 people took part, all from the tech industry:...
Over half of all tech industry workers view AI as overrated::undefined
for many years AI referred to that type of technology. It is not infact AGI but AI historically in the technical field refers more towards decision trees, and classification/ linear regression models.
The main difference is that crypto was/is burning huge amounts of energy to run a distributed ponzi scheme. LLMs are at least using energy to create a useful tool (even if there is discussion over how useful they are).
There are significant differences between statistical models and AI.
I work for an analytics department at a fortune 100 company. We have a very clear delineation between what constitutes a model and what constitutes an AI.
That’s true. Statistical models are very carefully engineered and tested and current machine learning models are created by throwing a lot of training data at the software and hope for the best that the things that the model learns are not complete bullshit.
You really should listen rather than talk. This is not AI, it’s just a word prediction model. The media calls it AI because it sells and the companies calls it AI because it brings the stock value up.
It absolutely is AI. A lot of stuff is AI.
It’s just not that useful.
The decision tree my company uses to deny customer claims is not AI despite the business constantly referring to it as such.
There’s definitely a ton of “AI” that is nothing more than an If/Else statement.
for many years AI referred to that type of technology. It is not infact AGI but AI historically in the technical field refers more towards decision trees, and classification/ linear regression models.
That’s basically what video game AI is, and we’re happy enough to call it that
Well… it’s a video game. We also call them “CPU” which is also entirely inaccurate.
That’s called an expert system, and has been commonly called a form of AI for decades.
That is indeed what most of it is, my company was doing “sentiment analysis” and it was literally just checking it against a good and bad word list
When someone corporate says “AI” you should hear “extremely rudimentary machine learning” until given more details
It’s useful at sucking down all the compute we complained crypto used
Yeah it’s funny how that little tidbit just went quietly into the bin not to talked about again.
The main difference is that crypto was/is burning huge amounts of energy to run a distributed ponzi scheme. LLMs are at least using energy to create a useful tool (even if there is discussion over how useful they are).
I argue AI is much easier to pull a profit from than a currency exchange also 🙂
There are significant differences between statistical models and AI.
I work for an analytics department at a fortune 100 company. We have a very clear delineation between what constitutes a model and what constitutes an AI.
That’s true. Statistical models are very carefully engineered and tested and current machine learning models are created by throwing a lot of training data at the software and hope for the best that the things that the model learns are not complete bullshit.
Yeah, an AI is a model you can’t explain.
Optimizing compilers came directly out of AI research. The entirety of modern computing is built on things the field produced.
You really should listen rather than talk. This is not AI, it’s just a word prediction model. The media calls it AI because it sells and the companies calls it AI because it brings the stock value up.
Yes, what you’re describing is also AI.
Then we may as well call the field of statistics AI now, but sure, it’s a crazy world. :)
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