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In interplanetary communications where strict delay guarantees and formal verification are required, why might standard machine learning models be unsuitable? Which of the following is the most appropriate?
①Because the model only operates with large amounts of data, latency increases.
②Black-box learning models have difficulty ensuring predictability and verifiability when real-time performance and formal verification are required.
③Because the communication content is completely templated, no training is required.
④The trained model is always accurate, so validation is unnecessary.
⑤If bandwidth is plentiful, latency won't be an issue.