I very much learn by getting my hands dirty, so if I were you I would find a project. Either write a a simple song and put in on paper, or incorporate concept you learn about music theory into a song or riff on the instrument of your choice. I honestly don't think reading music is 100% essential depending on what your goal is for learning theory.
I take piano lessons over Zoom (a byproduct of COVID, but I work remote so it's convenient to sign off of work and migrate over to my keyboard in my office for my lesson). I needed an excuse to practice more scales and expand my own knowledge of theory and be able to more intuitively find a key while playing or build cords. I ended up building this rudimentary scale-generator in Rust.
I did so because I primarily wanted to learn Rust but also wanted a tool to practice and memorize more diatonic major and minor scales.
This CLI tool is far from perfect or what I would call done, but I'm sharing in case you may find some use out of it or just as an example of what I did to expand my knowledge. In writing this I learned a lot about how diatonic scales are structured, and how Western musical notation was designed in such a way to make intervals easier to play on instruments such as the piano. It really forced me to understand how the major and minor scales are structured in order to be able to model it in the code.
I don't support the artist Lorin Ashton aka Bassnectar (google his downfall if you're not familiar with it) but I found the analysis of this implementation done by the sound engineer to be very impressive.
Why is it that the C-suite folks, who are supposed to understand macroeconomic trends or "Economics 101" as you're calling it, didn't see this coming and didn't make better decisions to not over-hire and mitigate reactionary cost-cutting. These companies have billions of cash on hand, but they choose the easy short term route of slashing labor costs to appease shareholders. I would argue this is a terrible long term solution on growth and profits (despite the shareholders impatience.
Besides even the big tech employees are closer to the average American worker than C-suite folks if you look at median salaries. You're talking down to a large group of people as if you somehow saw it coming before everyone else?
spending it instead on $30 door dashed organic salads
This is effectively the same argument as the one made by the Avocado Toast guy, and it's out of touch. You can empathize with folks that make less than you and still criticize the action of management that could have had the foresight to prioritize people over profit, but chose not to out of greed.
Why didn't the C-suite folks do better? Because their contracts hold stock prices above all else.
That means that making any group of stockholders unhappy risks reducing their earnings. Many stockholders don't understand macroeconomics. Many see the news and start calling for action, however misguided.
When enough demand action, the C-suite is forced to act, even when they know the actions are symbolic at best or counterproductive at worst.
That's assuming they know best. The C-suite command their salaries not because of what they know, but because of who they know. So making economic predictions may not be their strength.
The C-suite command their salaries not because of what they know, but because of who they know. So making economic predictions may not be their strength.
This is literally the opposite point of this:
If you don’t understand how economics 101 works, you probably didn’t deserve your high paying tech job,
Why not apply the same logic to tne C-suite folks rather than just individual contributors or the regular rank and file. Why are tech workers who exchange their labor and knowledge of working with technology dummies if they "don't understand the fed" (which I can guarantee you is not an expectation when working as a software engineer, product manager, etc.), but the C-suite gets a pass? Arguably the execs should understand how to navigate different economic climates if they get a leadership role, regardless of who they know. Also on an anecdotal note, every job I've ever gotten I've had to know someone, whether it be someone who works there or a recruiter, and I'm a worker in tech. So that argument doesn't hold up from my point of view.
Maybe you are an executive, or someone who has an acquired a taste for their carpet-protected rubber soles, and it's just a difference in opinion. But it seems to me by your own logic the executives are even dumber than the workers, there's really no reason for the original commenter to be so hostile. The whole point of the article is that it satirizes the decisions tech CEO's make because they are completely driven by the shareholder, but they are also major shareholders whose compensation is in equity.
Many stockholders don't understand macroeconomics
Including the C-Suite, they are forced to act out of their own self-preservation, which after a certain point, is just pure greed.
Because they are not the fed! They don’t make rate decisions. And they can’t guess what the fed will decide with any reliability. Those who have tried over the past couple years got hosed.
Why do you think people pay so much attention to the fomc meetings and the data they use, and minor off the cuff statements by kashkari or Powell, or any of them, will without exception send the market into a tailspin?
The fed controls the value of money, and that controls the employment rate, which is what influences hiring/firing decisions. It’s simple high school economics.
People don’t always get a job in what they major in. If he’s doing well and continues to do well he should complete his degree, he may not use much of it but it will set him up with the ability to learn and solve problems that other majors may not emphasize.
AI is good at generating simple examples in any given domain, including programming.
AI can't refactor code, or debug (or at least debug well as far as I know). Folks here can correct me if I'm wrong, I stopped looking into AI once I realized it wasn't as far along as most non-technical people seemed to think.
Things like Stable Diffusion and OpenAI have made great strides, but they will only serve to enhance humans' skills and abilities. There are limitations to what these tools can do, I wouldn't worry too much about having to compete with them once you're in the work force.
Even if it is, he's right. Although this is anecdotal, I have a friend who works in finance that said the drop in stock was coincidental to the stock price dropping. Apparently pharmaceuticals are a defensive sector in a bear market, and the market popping up last week meant the price of Eli Lilly dropped, as I understand it. In his words that tweet causing the stock to drop was "fake news"
There is never going to be a way to conclusively ascribe the drop in stock price to any one event. However, the act of pointing out the high cost of insulin to a large audience not causing a drop in stock price would be highly suspect. I personally doubt it was the Tweet itself that caused the drop. No one should/would have believed it was an actual statement by Eli Lilly.
But in a bear market, this bad publicity about the high price of a mandatory medication for a large population is likely going to have an effect.
Or it could have also been a coincidence... there's no way to know.
High frequency trader bots watch random accounts? That seems like a bad strategy. Maybe they're watching news headlines - but that seems like a media problem where a storm of articles about nothing drive the very story they are talking about.
> bad publicity about the high price of a mandatory medication for a large population is likely going to have an effect.
I know this is orthogonal to the stock price drop, but this kind of bad publicity (gouging sick people in need of your product) actually turned out to be a good thing for the public and for overall justice.
I take piano lessons over Zoom (a byproduct of COVID, but I work remote so it's convenient to sign off of work and migrate over to my keyboard in my office for my lesson). I needed an excuse to practice more scales and expand my own knowledge of theory and be able to more intuitively find a key while playing or build cords. I ended up building this rudimentary scale-generator in Rust.
I did so because I primarily wanted to learn Rust but also wanted a tool to practice and memorize more diatonic major and minor scales.
This CLI tool is far from perfect or what I would call done, but I'm sharing in case you may find some use out of it or just as an example of what I did to expand my knowledge. In writing this I learned a lot about how diatonic scales are structured, and how Western musical notation was designed in such a way to make intervals easier to play on instruments such as the piano. It really forced me to understand how the major and minor scales are structured in order to be able to model it in the code.
https://github.com/tlegnard/scale-generator