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LLMs can now be surgically updated to not just remember facts, but also consistently *use* them in reasoning, thanks to a new method that maps and adapts the underlying causal circuits.
Real-world speech disfluencies trip up even the most advanced full-duplex voice agents, exposing critical gaps in self-correction and multi-step reasoning abilities.
Mimicking human cognition, FLAIR lets dialogue models "think while listening," boosting performance without adding latency.