| GitHub | https://github.com/weavejester/ |
The ability to make complex distinctions with high accuracy after ingesting a sufficient amount of training data is a signature feature of machine learning algorithms. But humans also have this ability, even if they are not always consciously aware of it. One of my favorite illustrations of this is the learned ability to determine (qualitatively) the temperature of water from its sound, which almost all of us have acquired purely through training data: https://www.youtube.com/watch?v=Ri_4dDvcZeM
We even have the learned ability to accurately predict the next word in a sentence, even when we do not understand the semantic content of the sentence itself. Some (rather frustrated) examples of this occur in the later stages of the classic "Who's on first?" sketch: https://www.youtube.com/watch?v=r9t097tbeT0

New experiment!
https://github.com/borkdude/cream
Fast starting Clojure runtime built with GraalVM native-image + Crema
Crema is a JVM bytecode interpreter which allows you to dynamically evaluate stuff inside of a native-image.
I have no idea where this is going yet and what the exact trade-offs with babashka are. Time will tell!
State of Clojure 2025 Results
I'm looking around for options; got a few job applications out, but if you're hiring for Clojure work (or, somehow, Lua???) let me know
I have a lot of friends who have been looking for work for a long time and finding basically nothing, so I get that this is a bad time to do this, but I just can't stay with things going like that
#babashka_conf updates:
- We found our keynote speaker: @swannodette of ClojureScript fame!
- Call for proposals is now open until Feb 28
- Call for volunteers is open too.
- Two platinum sponsors: Exoscale and Bob.
More info at the conf's website:
Check out Exoscale's job page: