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Fable 5 tops KernelBench-Mega, outperforming Claude Opus and GPT 5.5

Fable 5 has achieved the top position on the KernelBench-Mega benchmark, demonstrating a significant advancement in AI's capability for R&D tasks. The AI model generated Cuda code that resulted in an 18.71X speedup on an RTX PRO 6000 Blackwell compared to an optimized PyTorch baseline. This performance surpasses other leading models like Claude Opus 4.8, GLM-5.2, and GPT 5.5 on the same benchmark. Fable's approach is notable for its single cooperative kernel launch per token, a more efficient method than the multi-launch strategies used by other models, signaling a potential acceleration in AI self-improvement. AI

IMPACT Sets new SOTA on kernel generation benchmarks, potentially accelerating AI R&D and self-improvement.

RANK_REASON Fable 5 is presented as a new model release, achieving top performance on a benchmark. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on r/singularity →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Fable 5 tops KernelBench-Mega, outperforming Claude Opus and GPT 5.5

COVERAGE [1]

  1. r/singularity TIER_2 English(EN) · /u/manubfr ·

    Fable 5 sits at the top of KernelBench. Jack Clark calls it “the start of a RSI loop”

    <!-- SC_OFF --><div class="md"><p>From Import AI :</p> <p><strong>Fable writes a decent GPU kernel, hinting at broader AI R&amp;D automation:</strong><br /> <em>…The start of an RSI loop…</em><br /> Fable has written “the first genuine (and fastest) megakernel ever submitted to K…