You could say the same thing about any language. Writing "dumb" code is easier to understand especially in the small. But Go with function that take functions and return functions, channels and generics, can quickly look as complex as other languages.
Scala definitely had some missteps but its much nicer to program in than Java and simpler as well. I mainly program in Go these days but I could imagine explaining the benefits of Scala over Go to my coworkers. It would be embarrassing trying to do the same with Java however.
I'm spending about a grand to have a sensor in my golf door handle fixed because the car beeps for about 10 seconds every time it passes 10mph. Thinking of buying a car at least 15 years old so I can experience the lack of electronics again.
I worked for a wealth management company. The money was held at the financial institution's accounts. We just calculated when to re-balance the portfolios and executed the trades on the customer's behalf. Not sure if that's how this works.
"This question is increasingly central to debates about the future of work" Nope. The only question my company is asking is how to get more efficiencies from AI so that they don't have to hire so many people.
Part of the problem is that the barrier to entry is really low now. In the old days, you had to be relatively talented on your instrument, hone your skills for years playing clubs to gather an audience, and then a record label would finally give you a contract. Now you can download Logic and it will generate most of the music. You just sing along, autotune your vocals and you've got a tune that can be uploaded to Spotify, Apple Music, etc.
I just saw MonoNeon in concert. His albums are mediocre but I'm guessing he's making an ok living because he's extremely talented on bass. The place was sold out.
Innervisions is hardly a forgotten record. To claim its better than Dark Side of the Moon is totally subjective and I would argue that its not. Dark Side works as an album while Innervisions feels like a collection of songs. Also, "Visions" as the second song, just sucks the energy out of a listen. They should have tacked that tune onto the end.
pretty big logic leap you made there. I didn't say understanding the domain was the only requirement. But certainly not understanding it will cause you to fail.
"these require deep understanding of the domain, the codebase, and good software engineering principles" Most of this AI can figure out eventually, except maybe the domain. But essentially software engineering will look a lot like product management in a few years.
I didn't say its all false but I also noticed that you didn't post a single link to the overwhelming and well-documented evidence. Since most of the people I work with are Indian, I guess you're suggesting that Indians are racists against hispanics and blacks. I don't know why that would be but I guess from you said, its well documented.
Not to argue the point, but in the article, he can't get the snare sound right so he needed to revert to a sample. I think you're underestimating the difficulty of recreating sounds. It would be impossible for instance, to recreate the amen break with a sequencer because nothing would be on a quantized beat and every single drum hit is different.
I don't know. I think it would be pretty difficult to reproduce say the Amen Break. You would have to be a great drummer and be able to reproduce that particular sound it has.
Listening to the break down of the tracks, they barely takes any music playing ability so I imagine they could have easily made them from scratch instead of using samples.