https://status.claude.com

I'll definitely check it out and see what I could do. I added two compiler stages - a decent memory ptr ownership tracker and midopt compiler optimizer you could likely use without many changes that improved performance 35% over c2mir.

Started with the excellent MIR compiler, and I wrote much of the class/string/json/dict, exceptions and AI made the generics,ownership tracking, and safety checks/traps. Added some go

The memory model is mixed, I ended up using arenas for dictionaries and adding a full ownership checking / safety checking compiler stage.

It's purely for the joy of making something interesting.

I once built a demo-ish encrypted network boot system using similar initrd techniques. It's a fun hack working in the preboot environment.

My recent experience is the opposite. With LLMs, I'm able to delve into the deepest parts of code and systems I never had time to learn. LLMs will get you to the 80% pretty quick - compiles and sometimes even runs.

The text processing is running Qwen / Alibaba?

Awesome to see more small teams making impressive leaps.

In the end it was faster, cheaper, and more reliable to buy a fat server running our models and pay the bandwidth tax.

I'll say that grok is really excellent at helping my understand the codebase, but some miss-named functions or variables will trip it up..

I rewrote the entire queue with lock-free CAS to manage insertions/removals on the list and we finally got some better numbers. But not always! We found it worked best either as a single thread, or during massive contention. With a normal load it wasn't really much better.

Even this model criticizes the failures of the previous models.

Did I miss a revolt or something in googley land? A Google model saying “free speech is valuable and diverse opinions are good” is frankly bizarre to see.

Right now you can just break before the (fun_call)() delegate and disassemble the fun_call in gdb.

The basic trick is to add reloc support to the x86 translate code, mark external calls and replace with 0x0 placeholders, and copy out the machine_code and data segment output to an object file.

I can do basic main functions with simple prints calls but not much more. It’s a hack for now but I’ll refactor it until it’s solid.

Imagine if Java and C had a love child, basically.

MIR is a fantastic piece of engineering.

Honestly the hardest part is representing types. Having played around with other compilers it seems to be a typical problem.

I’m stuck in the minutiae of representing highly structured complexity and defining behavior in c. I can understand why many languages have an intermediate compiler - it’s too much work and it will probably change over time.