> evolution selected for a language skill Yes it did, and we do know a lot about general principles behind, from different disciplines. This is still an early science. NLP research still hasn’t considered many important…
Not Google search, but many companies are exploiting cheap labor over seas for different industrial use cases because our algos suck. Not just in manufacturing, there are tech companies outsourcing labeled data for…
I think this is false. My general opinion of computer scientists and engineers (especially in silicon valley) lack the scientific training that one gets in other disciplines like in physics or other hard sciences.…
> Comparing your pre-trained brain You’re making sweeping assertions that require domain experts in several different disciplines. The scientific evidence points to the contrary. It is demonstrated that humans have a…
Well, that’s not entirely true. Alpha go self played 29 million games of Go, which is in feasible for humans. Assuming a game of Go is 5mins, it would take a human 286 years to achieve the same, assuming this person…
I see BERT as non sensical. You need to be scientific and have a mathematical theory on how humans learn language, which is a multi disciplinary task requiring physicists, mathematicians, neuroscientists, cognitive…
My brain does nlp better than any system out there. I’m also able to ride bicycles and do motor control better than Boston Dynamics. I can also construct and prove math, do physics and code all of this in Matlab and C.…
Slippery slope, with all evidence pointing to the contrary. Apple will never have a monopoly, linux will always be an alternative.
> There should be a name for this kind of ridiculous hubris Pseudoscience? To me this paper is no different from astrology.
The wiki post mentioned that people are right 45% of the time. How does dl and ml stack up? Also not mentioned, how long does it take for humans to start recognizing new races, vs ml and dl?
Why doesn’t the model trained on one race generalize to different races? That sounds inferior to human vision.
I prefer Googles snippet to visiting a shitty site. This is one of the few instances that I fully support Google. If websites want to stay relevant, they need to be more inventive.
"No matter what the function, there is guaranteed to be a neural network so that for every possible input, x , the value f(x) or some close approximation) is output from the network" Okay, so what? You require more and…
There is no "ai", it's the same bull crap we had in the 80s. We haven't had true innovation in this space for a very long time, the current hype was caused by GPU, cloud, and abundance of data for training.
Huh, a quick Google search gave me: https://www.ee.columbia.edu/~dpwe/papers/Wang03-shazam.pdf This was a paper from Shazam from 2003. This is essentially what I proposed, there is no training. Shazam works pretty well.…
> A neural net can capture all those smaller eigenvectors in the signal that are routinely thrown away during traditional feature engineering What on earth are you talking about? >Deep nets are here to stay. Maybe in…
The biggest issue I have is: "To do this we developed an entirely new system using convolutional neural networks to turn a few seconds of audio into a unique “fingerprint.” Why did you pick a neural network? What…
>you do realize that NN/AI is totally state of the art for many tasks? Being state of the art doesn't imply that these things will solve these problems. In ML terms, how do you know that NN/AI isn't a local maxima that…
>Some of the most brilliant people in the world have been working on image recognition, voice recognition etc. and AI is crushing all of their work. This is very true. I take my stronger statements back, MAINSTREAM…
Machine learning is glorified curve fitting. DL isn't even mathematically sound, back propagation has no proof of convergence. Quantitative math is about extracting natural laws, and mapping them to mathematical…
Quantitative math, or applied math isn't based on fitting data to an arbitrary mathematical structure. It's looking at real life, and deriving the mathematical laws that govern what you see. You could have a neural net…
Quantitative math might be the wrong word, maybe applied math? In quantitative finance, you make quantitative models about the world, and build math that realize those assumptions and understanding. A simple example:…
Deep learning and machine learning don’t work. Quantitative math will always prevail, as it always has. Unfortunately, mathematical research isn’t there yet. We don’t have models for vision, audition and linguistics.…
“A separate class action lawsuit was filed on behalf of 64,000 tech workers for an estimated $3 billion in lost wages.“ So they went through all this effort to save 3 billion/64000 = $46,875 per employee. Is that how it…
None of these tech companies have the ability to do that. What you are suggesting would mean the death of every social media company.
> evolution selected for a language skill Yes it did, and we do know a lot about general principles behind, from different disciplines. This is still an early science. NLP research still hasn’t considered many important…
Not Google search, but many companies are exploiting cheap labor over seas for different industrial use cases because our algos suck. Not just in manufacturing, there are tech companies outsourcing labeled data for…
I think this is false. My general opinion of computer scientists and engineers (especially in silicon valley) lack the scientific training that one gets in other disciplines like in physics or other hard sciences.…
> Comparing your pre-trained brain You’re making sweeping assertions that require domain experts in several different disciplines. The scientific evidence points to the contrary. It is demonstrated that humans have a…
Well, that’s not entirely true. Alpha go self played 29 million games of Go, which is in feasible for humans. Assuming a game of Go is 5mins, it would take a human 286 years to achieve the same, assuming this person…
I see BERT as non sensical. You need to be scientific and have a mathematical theory on how humans learn language, which is a multi disciplinary task requiring physicists, mathematicians, neuroscientists, cognitive…
My brain does nlp better than any system out there. I’m also able to ride bicycles and do motor control better than Boston Dynamics. I can also construct and prove math, do physics and code all of this in Matlab and C.…
Slippery slope, with all evidence pointing to the contrary. Apple will never have a monopoly, linux will always be an alternative.
> There should be a name for this kind of ridiculous hubris Pseudoscience? To me this paper is no different from astrology.
The wiki post mentioned that people are right 45% of the time. How does dl and ml stack up? Also not mentioned, how long does it take for humans to start recognizing new races, vs ml and dl?
Why doesn’t the model trained on one race generalize to different races? That sounds inferior to human vision.
I prefer Googles snippet to visiting a shitty site. This is one of the few instances that I fully support Google. If websites want to stay relevant, they need to be more inventive.
"No matter what the function, there is guaranteed to be a neural network so that for every possible input, x , the value f(x) or some close approximation) is output from the network" Okay, so what? You require more and…
There is no "ai", it's the same bull crap we had in the 80s. We haven't had true innovation in this space for a very long time, the current hype was caused by GPU, cloud, and abundance of data for training.
Huh, a quick Google search gave me: https://www.ee.columbia.edu/~dpwe/papers/Wang03-shazam.pdf This was a paper from Shazam from 2003. This is essentially what I proposed, there is no training. Shazam works pretty well.…
> A neural net can capture all those smaller eigenvectors in the signal that are routinely thrown away during traditional feature engineering What on earth are you talking about? >Deep nets are here to stay. Maybe in…
The biggest issue I have is: "To do this we developed an entirely new system using convolutional neural networks to turn a few seconds of audio into a unique “fingerprint.” Why did you pick a neural network? What…
>you do realize that NN/AI is totally state of the art for many tasks? Being state of the art doesn't imply that these things will solve these problems. In ML terms, how do you know that NN/AI isn't a local maxima that…
>Some of the most brilliant people in the world have been working on image recognition, voice recognition etc. and AI is crushing all of their work. This is very true. I take my stronger statements back, MAINSTREAM…
Machine learning is glorified curve fitting. DL isn't even mathematically sound, back propagation has no proof of convergence. Quantitative math is about extracting natural laws, and mapping them to mathematical…
Quantitative math, or applied math isn't based on fitting data to an arbitrary mathematical structure. It's looking at real life, and deriving the mathematical laws that govern what you see. You could have a neural net…
Quantitative math might be the wrong word, maybe applied math? In quantitative finance, you make quantitative models about the world, and build math that realize those assumptions and understanding. A simple example:…
Deep learning and machine learning don’t work. Quantitative math will always prevail, as it always has. Unfortunately, mathematical research isn’t there yet. We don’t have models for vision, audition and linguistics.…
“A separate class action lawsuit was filed on behalf of 64,000 tech workers for an estimated $3 billion in lost wages.“ So they went through all this effort to save 3 billion/64000 = $46,875 per employee. Is that how it…
None of these tech companies have the ability to do that. What you are suggesting would mean the death of every social media company.