AI’s ‘Tokenizer Tax’ Can Make Non-English Text More Expensive
Russian text used about 42% more tokens in one test, while a wider study found a 17x gap between languages. Results depend on the tokenizer.
A world model is an internal representation that helps an AI system predict how an environment may change after an event or action. Rather than learning only which behavior previously earned a reward, the system models objects, relationships, dynamics, or cause and effect. It can simulate possible futures before deciding what to do, supporting robotics, autonomous systems, reinforcement learning, game agents, and video generation. The representation is always a simplification. If it misses an important physical rule or social constraint, the system may form unrealistic plans. Useful world models therefore need comparison with real outcomes, uncertainty estimates, continuous updates, and safeguards when simulated decisions affect people or physical environments.
Russian text used about 42% more tokens in one test, while a wider study found a 17x gap between languages. Results depend on the tokenizer.
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