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Dedicated memory architectures for VLAs are largely obsolete: feeding intact video history directly into modern backbones beats complex retrieval and compression mechanisms by a wide margin while prefix caching keeps latency at single-frame speeds.
A self-reinforcing instability trap in Deep Q-learning can be effectively mitigated through controlled bootstrapping and ensemble quantile estimation, leading to more stable training outcomes.
Forget turn-based interactions: MiniCPM-o 4.5 lets you build AI that sees, hears, speaks, and *reacts* in real-time, all on a device with only 12GB of RAM.
