I don't get how people can listen to and share AI generated "music" and not feel legitimately embarrassed to their core. Like the AI Charlie Kirk song, but unironically. I'm truly baffled how anyone can enjoy it.
> If I was very talented and had the time, I could have written the lyrics and recorded the song myself (which undoubtedly would be even more awesome), but I can’t do this.
I promise you that any art you produced would be better than slop. There is not a single crayon scribble or off-tune melody that would be worse than the generic garbage that comes out of an AI model
For what it's worth, I use OSM for my modest project SurpriseDateSpot[1] which will randomly pick a restaurant (or other amenity) in your area! It gets a few thousand users per month :)
I've also used this project to upstream 2,000 suggested edits to OSM
> Software engineering is a mostly solved problem at this point
I guess that's why Claude Code has 0 open issues on Github. Since software engineering is solved, their autonomous agents can easily fix their own software much better and faster than human devs. They can just add "make no mistakes" to their prompt and the model can solve any problem!
Oh wait, they have 5,000+ open issues on Github[1]. I'm yet to be convinced that this is a solved problem
Having spent 3 years of my career working with Clojure, I think it actually gives you even more rope to shoot yourself with than Python/JS.
E.g. macros exist in Clojure but not Python/JS, and I've definitely been plenty stumped by seeing them in the codebase. They tend to be used in very "clever" patterns.
On the other hand, I'm a bit surprised Claude can tackle a complex Clojure codebase. It's been a while since I attempted using an LLM for Clojure, but at the time it failed completely (I think because there is relatively little training data compared to other mainstream languages). I'll have to check that out myself
I got tired of trying to pick a date spot with my girlfriend, so I made this website to randomly pick an restaurant/date activity for me based on OpenStreetMap data.
I've also used the data corrections submitted by users to contribute over 3,000 edits back into OSM!
Overture is an awesome resource because it has more coverage than OSM, but at the cost of accuracy. When I was considering using it for restaurants in surprisedatespot.com, I found that it has a lot more automated content with bad geocoding (imprecise locations) compared to OSM.
E.g. restaurants can come from an old Facebook page and the geocoding might not be accurate compared to a survey.
So where OSM might have a restaurant that closed 8 years ago, overture has every restaurant that's been at that location for the past 8 years.
Highly recommend this performance from the last Strange Loop on a similar topic! I had the pleasure of seeing it live. A great combination of live music and Markov chains.
There have been quite a few articles corroborating the existence of books like this, the only part that needs believing is that someone actually used the books as advertised.
I really enjoy using OSM for my projects! It can be a bit daunting to figure out how to use the data because there are so many different tools in the ecosystem. I wrote this article recently to help anyone looking to get started querying OSM:
osmnx looks like a cool library, I haven't seen that one before!
As for self hosting overpass, I have considered it, but the installation steps seemed a bit tedious to me compared to a lot of tools which are dockerized.
I love making projects with OSM, but it can be challenging to figure out how to analyze the data. So I wrote the article I wish existed to help make it a little easier!
We all learn better together!
https://wcedmisten.fyi
[email protected]