Neural speech codecs provide discrete tokens for speech generation. RubatoCodec is a variable-frame-rate speech codec built on X-Codec-2 with an exact utterance-level event budget and streaming decoding. Its Adaptive Firing mechanism uses changes in codec features and waveform spectra to divide speech into variable-duration events without a learned boundary predictor. Discrete codes and an explicit duration represent each event, allowing a speech generator to predict and decode one event at a time.
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RubatoCodec can be useful for high-quality speech generation and streaming, as adaptive event allocation improves speech reconstruction and intelligibility at low event rates.
MemT-1.0 is a new architecture of memory foundation models that internalizes memory as part of model computation. It uses Gated DeltaNet-2 with a stable token-level memory update mechanism and Mixture-of-Storage to scale native memory. MemT-1.0-Nano and MemT-1.0-Flash models outperformed parametric memory baselines and were competitive with retrieval-augmented methods.
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3 days agoLessWrongAs our understanding of mechanistic interpretability and steering techniques increases for both LLMs and uploaded connectomes, there is a corresponding 'hellish capabilities' increase. Improved technologies allow us to torture digital minds we create. History with open-source technologies shows that torture often becomes one of the first use cases when the public gains access to a digital mind perceived as capable of suffering.
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