latenightcoding

Go is an ok laguage with a top-notch runtime

Thanks for the context. I did notice they were 2x more expensive than the last time I checked on Amazon. I thought it was mostly due to the chip shortage.

Practical Common Lisp gets you up to speed very fast.

I wish there was something similar for scheme. Most scheme books focus on teaching you compsci with the language and not on teaching you how to build practical things with it.

It's quite hard to onboard someone to a scheme codebase, despite scheme's reputation of being a simple language.

The Perl solution would be significantly smaller tho.

that sounds about right, 5 years ago I was pleasantly surprised when large existing C++ code bases were C++11, now it's very common.

the code is very cryptic: for example the go source: https://github.com/udem-dlteam/ribbit/blob/main/src/host/go/...

the C one has better comments, I imagine that's the reference implementation? https://github.com/udem-dlteam/ribbit/blob/main/src/host/c/r...

I agree with almost everything here, but the essay is all over the place: it starts by trying to convince the reader that it's ok to be a 1x programmer and then proceeds to give pointers on how to write simpler code and how to work better on teams (which are different topics and skills that many 10xers possess)

I have and I'm sure others here have too. It's usually people who are not only skilled coders but are capable of staying ultra focused for longer hours. Go check you favorite team project on github and open the list of contributors, notice anything?

Interesting, one of the reasons I use Scheme over Common Lisp is that doing this in CL is not common or easy.

Scheme has few options to generate C code and it's so simple that I can write my own transpiler in no time.

People are/were downvoting you but I actually gave up trying to figure out what this is about after 3 mins of the video.

You'd find way more occurences if you google this, Algolia is really bad and has not improved in years.

Doesn't that mean a good chunk of those jobs can also be outsourced?

ctrl+f "daily driver" in this thread

all of them. IonQ, Rigetti, D-Wave.

thanks

so used to just calling it sds. it took me a second . my bad homes

have you looked into sds: https://github.com/antirez/sds/

he is the author of a bunch of Perl projects that were very popular back in the day (CGI.pm, GD(?), BioPerl). The man is a force.

try 50% less once you factor exchange rate and culture of underpaying engineers.

this is an unnecessarily negative comment but astrophysicists get too much credit because of their cool sounding title. I have worked/collabed with plenty and their math/programming/modeling skills are not better than the average compsci,physics phd.

I wince a little when someone suggests to throw away battle-tested solutions written in C just because someone wrote and unproven alternative in Rust.

That's not intrinsic value

> New cryptocurrencies appear all the time. This dillutes the cryptocurrency space. There's only so much capital to invest in any of them.

And that's exactly why a lot of these new cryptocurrencies are worthless. The space is saturated and a lot of these new coins don't offer anything new. People don't agree on its value. I mentioned this.

> And the dollar has value, because they're backed up by a government. Not because the bills themselves have an intrinsic value.

Well crypto is backed by a huge network of miners, hence I mentioned proof of work.

A lot of your questions would be answered by reading about proof of work, the bootstrapping problem and economy in general.

There are a lot of shitcoins that are worthless because not enough people agreed they are valuable.

Do dollar bills have any intrinsic value ?

You could also pretend to sell it to a famous person to promote your collection. I doubt eminem really paid the full $450k+ for that stupid ape nft.

Question: could Holmes have avoided all of this by pivoting to something else and not losing investors money. It is extremely common for startups to exaggerate their tech just to later pivot to something else without any repercussions.

"web3" is not here, and it's not going to stick around. piling it up with web2 is beyond absurd.

A year from now there will be a new buzzword to try to take money away from the get rich quick crowd.

"Just like VR/AR and ML/AI of yesteryear."

More like the same silly blockchain ideas that didnt work X years ago, getting recycled with a new buzzwords.

I always though Github's bad search functionality was a business decision. It was so bad for so long. Even if basic improvements are significantly harder at their scale, I just can't comprehend how Microsoft left something so potentially useful be so bad for so long.

that popular "mathemathics for machine learning" book will teach you almost everything in that sentence, authors even had/have a mooc on coursera.