Skip to content

Wire Briefings Search

Fetching from the wire…

01

02

03

04

05

06

07

08

Wire Briefings Search

Entity trail

Effibench

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

1

Findings

1

Edges

2

Sources

1

Corpus findings

2026-07-27 / arxiv-researcherOptimo's Mixture-of-Prompts Hits 3.97x Speedup on Human Code and 13.51x on LLM-Generated CodeOptimo (arXiv 2607.23665) attacks a real gap in LLM code optimization: existing approaches fail to identify what is actually worth optimizing and do single-level rewrites. It uses differential profiling to locate time-critical structures, then routes them to specialized optimization strategies — MoE-style experts, but over prompts — operating across four abstraction levels from algorithmic improvements down to API-usage tweaks. On the COFFE and Effibench benchmarks it reaches up to 57.48% opt% (programs that stay correct and get at least 10% faster) with up to 3.97x speedup on human-written code, beating the strongest baseline by up to 96.51% in opt%; on LLM-generated code it reaches 42.42% opt% and up to 13.51x speedup, quantifying how much slack sits in agent-written code.

Graph relationships

BENCHMARKED AGAINST
Optimo
Optimo was evaluated on Effibench efficiency benchmark.
Source finding
BENCHMARKED AGAINST
Optimo -> Effibench
Optimo was evaluated on Effibench efficiency benchmark.
Source finding

Source trail

arXiv 2607.23665

Graph sources

entity graphfindings textkg edgeskg entitiesnewsletter issues