I work in an EE dominated industry where staff and principal titles are only handed out to 30+ year veterans who know their domains better than anyone else in the world. These are people who specialized in one thing their entire career (mmWave RF amplifiers for instance). These companies are every where big software is at, and then some. They don't pay great, they are not "cool" to work at. Gov is often the biggest customer. Doing something novel in these fields will require a PhD, a decade of corporate R&D experience, and significant corporate backing.
You can find a better retelling of this elsewhere, but Ford wanted his employees to be able to purchase Ford cars. The story is often used when discussing the fairness of employees wages, or the cost of goods. Auto employees have long been considered part of the middle class. I think the OP was referring to the fact that probably many of the people making these cars can't even afford them nowadays. Given that cars are practically a necessity in most of the US, I don't think that sits right with people.
If a somewhat vague title gave you a "chill of terror" then I suggest you go back to normal light bulbs. You should assume there is some undisclosed vulnerability. In fact, if you search "Hue light bulb hack" you will find several articles that actually imply what you were scared of...
What makes something like this non-deterministic? If you ask the same question you get a different answer. Is there some sort of random seeding happening?
At the "textbook"/"theory" level, the person you are replying to is not wrong. A sawtooth waveform has infinite harmonics. If you were going to be nitpicky (which your response was in that spirit), the best thing to have said (IMO) was that the high frequency harmonics are going to drop off and be below any sort of "noise floor" or sensitivity of the system and not matter anyways. Instead you wrote a bunch of stuff about sounds and pressure waves that I don't think had the effect you intended. I think you lost the plot somewhere along the way.
You do not want to "correct" the wiki because the wiki is not wrong. The person you are replying to is clearly thinking about some sort of RF system (given the frequencies mentioned) where it's important to have a baseband filter to eliminate aliasing, and that filter will have some sort of roll off region, resulting in a higher sample rate than available bandwidth. That's all great, but the Nyquist theorem isn't talking about an RF system. It's referring to sampling. When the wiki uses the word "bandwidth", they mean the frequencies that don't alias given a specific sample rate.
I don't have the words to describe the fact that between you and the person you replied to, just recommended a masters degree worth of textbooks to some strangers inconspicuous comment. I mean, if someone could read and understand all the textbooks you two listed, they could get a research level radar position.
It is always important to maintain some amount of self-awareness. Applying to 200 internships and not getting a single response should signal something in your brain. I'm not saying some form of discrimination is not at play, but at some point you have to be realistic. It seems in the same vein as people being postdocs for 20 years while waiting for a instructor position to open up. Crying foul isn't going to help. That doesn't mean it's not worth writing articles like this one, but I don't think it's going to change much. As long as there is some notion of "prestige" it's going to attract far more people than there are seats, and someone has to get turned away. Meritocracy is a pipe dream.
Take a look at the 2 listed references by Parks and McClellan. They are considered seminal papers in the field of signal processing and are the basis of the function you linked. And they will probably appeal to your math background more.
The name of the algorithm is Parks McClellan filter design, or sometimes you will see it named firpm, as popularized by MATLAB.
The scipy documentation you linked is specifically for generating a FIR filter using the Remez algorithm, which is why it is written in that style. It is a very specific use case of the algorithm and probably not the one I would recommend learning from. Another top level comment has a link to a decent overview of the Remez algorithm written without the "Signals and Systems" language.
Implementing low precision transcendental functions is much more interesting IMO, as it allows for a wider variety of algorithms and approaches. When you are limited to the IEEE definitions, there really isn't much room for creativity and you have to handle all the obscure edge cases and chase least significant bits, bleh. That's not something you want to do if you need to calculate a trillion atan's. If one is curious how these algorithms work, check out the book "Elementary Functions".
Isn't it very likely chess games were part of the training data? If so, chess sequences seem like an amazing matched filter of sorts. It doesn't seem surprising that it can guess a next move.
Is it teaching itself anything here? Is the model being updated in any way? Or are you talking more generally, looking into the future sort of statement?
I'm pretty sure he only makes his past twitch streams available to subscribers. It's weird they are available on Youtube, maybe he doesn't know that's something he can change.
I had something very similar happen to me when a mudslide physically prevented me from getting to the property. You'd think you would be able to get a full refund, but the host had to approve and of course they didn't. $400 in my case. This was years ago, and I've never used the site again.
Just to clarify, you used the word "abuse" several times to describe a job where you would have to work in office between 8:30 to 5 and pull (I'm safely assuming) half a million dollars a year?
Not a dumb question. In theory, yes you want it to be aligned for performance reasons, and you can do this with one of the _aligned_malloc()/aligned_alloc() variants. In reality though, for any non-trivial algorithm, you may not be able to always enforce this.