I thought that "The Particle Zoo: The Search for the Fundamental Nature of Reality" by Hesketh did an excellent job of explaining without dumbing down to the point of meaninglessness.
Have you looked at Continue.dev? It’s open source and allows both local/open source and commercial models. It’s definitely got challenges / bugs (particularly for remote dev) but I think is worth a look.
This is really interesting to me but there’s a few things here that are beyond my reach. Could anyone describe these in more detail or point to references?
* partials? Is that another word for harmonics?
* “Box tone”?
* Breakpoint synthesis? ChatGPT suggests this is a kind of interpolation but I don’t quite get it.
Any general references would be really appreciated. Thank you!
Next meetup is Weds 10 May. We've been reading data-oriented papers recently (CRDTs/AutoMerge, Delta Lake, C-Store, etc) but we'll likely do some of these papers soon. Hope you can join us.
This is an incredibly common experience, lots of people I've asked do this.
When writing a StackExchange post asking for help, I want to include all relevant information and include a list of things I've tried, along with explanations for why they're dead ends.
Writing it all down sometimes helps me realise that one of the ends is in fact not dead.
This happens more often than I'd like to admit. More often it's on work chat or a call, but the principle holds: I try to explain my problem to someone else and while deepening the explanation, I get a face-palm moment (the answer was there all along!), thank the person for its time and franticly start working on the solution.
Rubber ducking can be a highly productive measure when your mentally clouded and can take many forms.
I’ve replaced Dark Sky with Windy but, although Windy is quite good, it doesn’t answer the same questions that Dark Sky answered quickly (and the article does a good job of pointing out these questions).
