Viewing profile — acdc4life

> 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…

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 comp…

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 i…

> 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. I…

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 ach…

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, mathemat…

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…

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 …

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 networ…

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 abund…

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…

> 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? >…

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 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 kno…

>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 st…

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, a…

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 wha…

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 …

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 f…

“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…

None of these tech companies have the ability to do that. What you are suggesting would mean the death of every social media company.