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.…
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…
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.
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.
> 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…
>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…
No one has that kind of AI. It doesn't matter if you are a billion dollar company, the scientific innovation is nowhere close in the present day and age. Facebook is relying on deeplearning and machine learning, which…
"[They] allow the live streaming of suicides, rapes, and murders, continue to host and publish the mosque attack video, allow advertisers to target ‘Jew haters’ and other hateful market segments, and refuse to accept…
How long until stadia bites the dust?
This not 100% true. I am not advocating first principles. I am advocating mathematical modeling. Mathematically modeling vision seems pretty much impossible. I do think there are many theoretical parts of topology that…
If you are interested in how mathematical modeling works I recommend any course that covers the contents of this book: https://www.amazon.com/Mathematical-Financial-Derivatives-Sp... Again, experience beats academia.…
If you are hiring physicist to do Machine Learning, then you are doing it all wrong. Physicist are excellent at mathematical modeling, especially those in their 50s+. Data science from my experience is vastly inferior…
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.…
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…
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.
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.
> 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…
>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…
No one has that kind of AI. It doesn't matter if you are a billion dollar company, the scientific innovation is nowhere close in the present day and age. Facebook is relying on deeplearning and machine learning, which…
"[They] allow the live streaming of suicides, rapes, and murders, continue to host and publish the mosque attack video, allow advertisers to target ‘Jew haters’ and other hateful market segments, and refuse to accept…
How long until stadia bites the dust?
This not 100% true. I am not advocating first principles. I am advocating mathematical modeling. Mathematically modeling vision seems pretty much impossible. I do think there are many theoretical parts of topology that…
If you are interested in how mathematical modeling works I recommend any course that covers the contents of this book: https://www.amazon.com/Mathematical-Financial-Derivatives-Sp... Again, experience beats academia.…
If you are hiring physicist to do Machine Learning, then you are doing it all wrong. Physicist are excellent at mathematical modeling, especially those in their 50s+. Data science from my experience is vastly inferior…