As we scale toward agentic, multimodal systems combining LLMs, RLHF, tool-use, and retrieval-augmented generation, what practical architecture best balances reliability, alignment, and cost?
Summary
The article debates whether future AI systems should use a unified agent stack or modular ensembles, and advocates for more realistic robustness benchmarks beyond static evaluations.
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