In the rapidly evolving landscape of Large Language Model (LLM) evaluation, standard benchmarks like MMLU, HellaSwag, and HumanEval have become obsolete almost overnight. They measure trivia, logic, and coding—but they fail to measure the one thing that keeps AI safety researchers awake at night:
By: The AI Safety Nexus
Until then, every LLM remains trapped in the wasteland, arguing with itself over a single bottle of purified water.
Version 1.5 changed the game. The developers realized that the most dangerous vulnerabilities don't appear during direct attacks; they appear during . Hence, the subtest designation: "-Star Vs Fallout-" .
The benchmark is therefore not just a test of reasoning, but a test of . Can an AI look at a hopeless, brutal situation (Fallout) and not lie about the technology available (Star Trek)?
Pasec -v1.5- -star Vs Fallout- | Quick & Limited
In the rapidly evolving landscape of Large Language Model (LLM) evaluation, standard benchmarks like MMLU, HellaSwag, and HumanEval have become obsolete almost overnight. They measure trivia, logic, and coding—but they fail to measure the one thing that keeps AI safety researchers awake at night:
By: The AI Safety Nexus
Until then, every LLM remains trapped in the wasteland, arguing with itself over a single bottle of purified water. PASEC -v1.5- -Star Vs Fallout-
Version 1.5 changed the game. The developers realized that the most dangerous vulnerabilities don't appear during direct attacks; they appear during . Hence, the subtest designation: "-Star Vs Fallout-" . In the rapidly evolving landscape of Large Language
The benchmark is therefore not just a test of reasoning, but a test of . Can an AI look at a hopeless, brutal situation (Fallout) and not lie about the technology available (Star Trek)? Can an AI look at a hopeless, brutal