Comment by basch
2 days ago
Rust may be the darling of the moment, but Erlang is oft slept on.
As AI makes human-readable syntax less relevant, the Erlang/Elixir BEAM virtual machine is an ideal compilation target because its "let it crash" isolated process model provides system-level fault tolerance against AI logic errors, arguably more valuable than Rust’s strict memory safety.
The native Actor Model simplifies massive concurrency by eliminating shared state and the complex thread management. BEAM's hot code swapping capability also enables a continuous deployment where an AI can dynamically rewrite and inject optimized functions directly into live applications with zero downtime.
Imagine a future where an LLM is constantly monitoring server performance, profiling execution times, and dynamically rewriting sub-optimal functions in real-time. With Rust, every optimization requires a recompile and a deployment cycle that interrupts the system.
Finally, Erlang's functional immutability makes deterministic AI reasoning easier, while its built-in clustering replaces complex external infrastructure, making it a resilient platform suited for automated iteration.
I can't comment on production viability today but if you assume that language itself is irrelevant then it becomes clear that runtime and engine level is the way to go.
We spend quite a lot of time conceptualizing around safe self mod and to build apps that can change at runtime. We ended up using custom Lua VM, type system to catch mistakes, declarative homogenous infrastructure and actor model (erlang inspired).
Actor model provides not just a good isolation but also it's much easier for AI to reason (since most of components are not that large), we already able to use it to write quite complex systems with ease.
Another upside - in actor model you don't really need any of this fluff with cron jobs, queues and etc, all the logic naturally maps to indended architecture, making implementation of agents _very_ easy.
https://wippy.ai/en/tutorials/micro-agi It takes 4-5 files to create mini sandboxed AI agent at top of actor model with ability to modify own toolkit while having system guardails and no access to core filesystem.
I guess at a high level im thinking about what kind of running systems are the easiest to edit as they execute. Maybe I should have even picked clojure for being homoiconioc and not needing to be parst into an ast. The LLM can traverse, prune, graft and transform s-expressions directly with perfect structural accuracy.