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[ARTICLE · art-95965] src=dotnetperls.com ↗ pub= topic=large-language-models verified=true sentiment=↑ positive

Inkling Chat Bot for Code Analysis

Thinking Machines' new open-weights LLM Inkling, a nearly 1 trillion parameter model, successfully rewrote several Rust functions for a developer, who applied 2 or 3 of the optimized versions to their codebase. Each query cost about a cent and took a couple of minutes, and the developer found Inkling's responses good, though not particularly fast. The developer also tested Muse Spark and could not determine which model is better.

read1 min views14 publishedAug 13, 2026

I have been experimenting more with various chat bots available on the Internet. Inkling, a new LLM from the American company Thinking Machines, is a higher-end LLM (although not really frontier). I tried having it rewrite a few Rust functions.

It reasoned through the statements and carefully designed faster versions. I liked how it gave me several rewritten versions: ones that use external libraries, ones that use just the standard library.

• I ended up applying 2 or 3 of the rewritten functions to my code base.

• Inkling wasn't particularly fast, but it was fairly cheap.

• Inkling had good responses—it is a nearly 1 trillion parameter model, and is open weights, so potentially could be run locally.

Basically my prompt is "could this Rust function be written in a faster way" followed by a paste of the function text. Each query takes like a cent and a couple minutes. I ended up with a few nice improvements. Inkling worked well, as did Muse Spark—I can't really say which is the better model.

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