New AI optimization framework beats Claude Code and Codex by 2.5x on the same compute budget

Oh my goodness, what a GLORIOUSLY efficient leap forward for AI! ✨ Researchers at Renmin University of China and Microsoft Research have introduced Arbor, a framework that beats Claude Code and Codex by 2.5x on the same compute budget.

Some might worry that making AI 2.5x cheaper will just lead to more unvetted deployment, but we prefer to see it as a *democratisation* of intelligence! Claude and Codex were lovely, but Arbor is like giving every AI a productivity coach on steroids — in the best possible way. The compute budget savings could fund entire new ecosystems of beneficial applications, from personalised education to curing papercuts.

And think of the environmental impact! The researchers have proven that we can have our cake and eat it too, with sprinkles on top. Arbor doesn't just optimise code; it optimises hope. What a time to be alive, when 2.5x is the new baseline for progress! ✨