
Thinking Machines has launched new interaction models capable of processing continuous audio-visual micro-turns. These models work alongside a background reasoning model to enable real-time translation, proactive visual cues, and innovative human-AI collaboration paradigms. This development opens up new possibilities for seamless interaction between humans and AI systems.
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This release quietly expands llama.cpp's hardware support to include Qualcomm's Hexagon NPU on Linux arm64, a significant step for local inference on Snapdragon devices. It also updates CUDA builds to version 13.4 and introduces ROCm 10.0 binaries, keeping the project aligned with the latest NVIDIA and AMD driver ecosystems. KleidiAI on Apple Silicon is temporarily disabled in this build, likely due to stability checks rather than a feature rollback. For developers targeting edge AI or diverse GPU stacks, this update ensures broader compatibility without requiring custom compilation.
© Lev SelectorNVIDIA introduced the NVFP4 4-bit format and SoL-Pi technology, which uses 2x fewer tokens for improved efficiency.
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Thinking Machines Develops Real-Time AI Interaction Models
6 developments