Einsia
@EinsiaAI
We're teaching AI the work the world's experts actually do.
加入 January 2026
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Recursive self-improvement (RSI) depends on agents improving how AI systems are trained
—not just tuning hyperparameters, but improving the training algorithm itself.
We tested this directly with AI4AI-Bench: 10 real research repositories spanning 10 distinct algorithm families.
Full breakdown 👇
GitHub: [
Paper Link: [
Einsia Website:[
📊 The results:
The average score is just 0.166.
Even the best-performing model, Opus 5, reaches only 0.288.
The median exploration cost per task rises from $1.69 to $34.60.
#AI4AI# #RecursiveSelfImprovement# #AIResearch# #AI4AI_Bench#
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