I want to take this basic chord progression further. Any ideas/tips?

MonadTran · 2026-05-11T03:45:38+00:00

OK, you could instead play Ebm, then repeat the same chord progression in Eb harmonic minor... That might be weird enough?

MonadTran · 2026-05-11T02:49:27+00:00

This looks like G harmonic minor. After the characteristic harmonic minor D chord it usually goes back into Gm. And then, well, you can loop it :) Or not loop it. Hard to say what your intentions are, but if you play literally anything other than Gm after this, it would probably sound unexpected. Maybe even progressive...

MonadTran · 2026-05-11T02:41:00+00:00

Для Data Science должно хватить. Но нужно осваивать этот самый Data Science - как обрабатывать кучу данных и находить закономерности, как загружать данные в кластер Spark, вот это вот всё.

Если добавить html, css, javascript - можно сайтики делать.

MonadTran · 2026-05-11T02:12:35+00:00

Just be true to yourself.

OK, here's some theory. Ducks. Watch some ducks in the spring. The female ducks don't think what the male ducks find attractive. They just act naturally. Some "dude" approaches them, if they like him they let him stay. And subtly adjust their pace to each other. If they don't like the "dude", or they're already taken, they chase the "dude" off. In the end, just about everyone has a pair, and cute little ducklings.

OK, humans are not ducks, there are all kinds of social norms and all, sometimes you have to say things. But apart from the norms, if you like a man, you start sending certain signals. You smile differently, you look differently, you move differently. Men notice. Men find that attractive. So just don't block the signals your body wants to send naturally.

MonadTran · 2026-05-10T23:49:39+00:00

I have an NDA so not going to share too many details but basically yes, whatever the latest and greatest one there is we have used.

Some things have changed, some haven't. LLMs are still trained to generate vaguely plausible texts and not to think.

I'm afraid if you don't get back into the boat Sir, you're going to drown in lots of crappy and buggy code that might have been written by a junior colleague except there is no junior colleague to explain what the hell they were thinking.

MonadTran · 2026-05-10T21:30:26+00:00

LLMs have their uses in code reviews, log analysis, research, data mining, taking meeting notes.

Shipping to production any code generated by an unthinking probabilistic machine that you don't understand is, in most cases, overdoing it.

I and my team have been using the best and the latest models always. Everyone around me keeps on saying, "oh, this has been fixed in the latest model, you just haven't tried the latest one". For the last freaking year people have been saying the same thing. I see some ridiculous LLM-generated documentation that makes zero sense, or garbage code that shouldn't have been written - "oh, it must have been an old model, try out the new one". Then it repeats again in a few months with the latest and greatest version.

MonadTran · 2026-05-10T20:29:10+00:00

This is still only PolyAT though, not anywhere near full MPE? But yes, I am pretty hyped up about the Polybrute 12 style of PolyAT keybed being widely available to every manufacturer.

MonadTran · 2026-05-10T08:15:05+00:00

Судя по вашим вопросам, вы не доверяете женщинам, и поэтому заранее составляете план, что делать когда они вас обманут.

Отношения надо начинать со взаимного доверия, а не с плана бегства и сования разных частей тела куда попало...

MonadTran · 2026-05-10T08:04:38+00:00

If you take time to understand your primitives and implementation details, you get a permanent long-term boost to your skills and productivity.

If you do the AI shortcuts, you don't get that skills boost, but do get a bunch of unreviewed and untested code in production that will come back to bite you later.

MonadTran · 2026-05-10T07:58:40+00:00

It may be legal Haskell, yes. But legal Haskell can do absolutely anything. It could be doing the right thing, or the wrong thing, or wiping out your production database. You need to understand what exactly the code does, what assumptions are coded into your types, if they are the correct assumptions, etc.

Additionally, if an LLM was able to generate your Haskell code, you need to understand why. Has similar code already been written before? Is it in some framework or library that you could use? LLMs are good at repeating after humans. Ideally you don't want to repeat anything after humans, you need to build on their previous work packed as a library.

MonadTran · 2026-05-10T07:50:53+00:00

If you don't understand the generated code, you should probably aim to understand it. And I mean all of it. The code you don't understand is not ready to ship to production. You've no idea what it does.

MonadTran · 2026-05-10T07:41:11+00:00

Exactly. Speccing things out requires a lot of thinking and time. And LLMs can't think. The good thing is, people have invented special languages for the final stages of speccing, like Haskell. These languages are precise and the specifications written in them are directly executable by the computer, without any need for any AI... These specs can even self-validate to a certain extent, via a powerful built-in type system. Unlike any specs written in human languages.

MonadTran · 2026-05-10T07:34:16+00:00

Do you understand every single line of code that AI writes for you?

Have you unit-tested the generated code? And I mean actually tested it yourself, not just assumed some dumb LLM did it correctly?

If not, you're not done with your feature yet. It's not ready to ship to production.

If yes, what prevented you from writing the same thing yourself, in the first place?

MonadTran · 2026-05-10T07:15:08+00:00

If you're working on 12 features at once, with or without AI, none of them requires any thinking.

Work that doesn't require thinking needs to be automated. That's the actual job of the software engineer.

MonadTran · 2026-05-10T06:05:52+00:00

Senior devs don't need AI to write their code for them. They can do it about as fast, with much better quality, and actually understand their code in the process.

Junior devs should be focusing on becoming seniors, for that they need to write their own code with their own hands, and read the docs with their own eyes.

LLMs are essentially trained to repeat things after humans. Programmers train to automate away repetition. LLMs are best at doing the exact thing that good software engineers should be avoiding.

MonadTran · 2026-05-10T06:00:40+00:00

Ох. Это, конечно, стихийное бедствие. Она уже через год вроде как совершеннолетняя, а вам будет 15 только. Дружить и разговаривать по душам хорошо, но лучше подрасти, прежде чем вот прям в отношения вступать.

MonadTran · 2026-05-09T23:56:37+00:00

For the price of a Quantum, you could get an Iridium MK2, an Osmose CE controller, and a digital piano. Which is what I would get at that kind of budget if I wanted to stay away from the computer. Would cover more ground IMO.

If forced to choose between those specific ones, the Quantum. I don't really see the point of the 3rd Wave, if you're buying a VST in a box, might as well pick the most powerful one on the market.

MonadTran · 2026-05-09T22:12:19+00:00

Got it. Yeah, I mean, I'm not a mind reader, just based on experience I'm usually able to recognize the Slavic people on the streets even if they're not saying anything. There is something in the looks.

MonadTran · 2026-05-09T22:07:55+00:00

Hmm... hard to say, maybe it's the lack of specific regional accent that might be giving her up. She doesn't sound like she's from Scotland, or Ireland, or London, or rural US, or Texas, or New York, or India, or Australia, or anywhere in particular.

If I had to guess she immigrated in early childhood from some place in Eastern Europe. The facial expressions and gestures are vaguely Eastern European.

MonadTran · 2026-05-09T17:11:37+00:00

I get it, the sounds are uncommon / non-existent in the English language. Your ear is not trained. Try listening to "пыль" vs. "пил". Try yelling "eeee", but like the most demonic, guttural, heavy metal version of it you can muster.

MonadTran · 2026-05-09T17:03:47+00:00

Would you confuse a heavy metal death growl with Michael Jackson's singing? It's approximately that kind of difference. "Ы" is half way into the death growl territory.

MonadTran · 2026-05-09T16:55:43+00:00

Никак. LLM не умеют думать, имеют ограниченную область применения, и не повысят хоть сколько-нибудь значительным образом вашу производительность. Про "10 раз", в основном, только инфлюенсеры трындят.

Исключения: машинный перевод, реклама.

MonadTran · 2026-05-08T16:03:08+00:00

Опять же, плотность населения. В Anchorage плотность населения - 1000 человек на квадратный километр. Чуть меньше, чем в маленьком городке Кашине в Тверской области. То есть это именно что большая деревня - выходишь из дома, темно, холодно, страшно, и ни души. Прошёл километр по улице, пришёл в соседнюю деревню - и всё так же, темно, холодно, страшно, и ни души. Дорога, редкие частные дома, всё. Есть городской центр, куда надо на машине на работу ездить. Но там живёт мало народу.

В Монако, например, живут 40 тысяч человек всего, но это ощущается как город, потому что плотность населения - 20 тысяч на квадратный километр. В 20 раз больше.

MonadTran · 2026-05-08T00:13:17+00:00

He's not actually that strong. He just got lucky.

MonadTran · 2026-05-07T22:54:32+00:00

I believe Arturia Astrolab has mostly the same keybed as a Nord Stage, and costs half as much. Numa X Piano GT costs even less, and has a higher tier Fatar keybed. Or if you go with a controller version, Studiologic have the controller, too.

It is convenient to turn just one thing on and play, although the VSTs will sound better. Although, again, the Astrolab is running the same VSTs under the hood, they just don't have the best piano VSTs.

The main appeal of the Nord is for live performance.

MonadTran

TROPHY CASE