Try it now Demo: https://
huggingface.co/spaces/openbmb
/VoxCPM-Demo
… Model: http://
huggingface.openbmb.com/model/openbmb/
VoxCPM2
… GitHub: http://
github.com/OpenBMB/VoxCPM
MACHINE LEARNING
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OpenBMB Releases VoxCPM Multimodal AI Model
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VoxCPM 2: Continuous Representation for Enhanced Audio Synthesis
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Most TTS models convert audio into discrete tokens. That compression strips acoustic detail. Emotional texture gets flattened. Timbre gets approximated. VoxCPM 2 uses a Diffusion-Autoregressive Continuous Representation framework instead. Continuous signal. Less information
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AI Designs Lab Experiments Autonomously: New Biology Risks
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#AI can design and run thousands of lab experiments without human hands. Humanity isn’t ready for the new risks this brings to biology
by Stephen D. Turner @ConversationUS Learn more: https://
bit.ly/47Uhy9G #ArtificialIntelligence #MachineLearning #ML #DL -
AAR Methods Generalize to Coding and Math Tasks
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To test the broader usefulness of the AARs’ methods, we assessed how well they worked on two datasets the AARs hadn’t seen before. The AARs’ best-performing method successfully generalized to both coding and math tasks, though their second-best method only generalized to math.
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Anthropic Develops Automated Alignment Researcher with Claude
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New Anthropic Fellows research: developing an Automated Alignment Researcher. We ran an experiment to learn whether Claude Opus 4.6 could accelerate research on a key alignment problem: using a weak AI model to supervise the training of a stronger one.
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AI System Optimizes Blackwell 200 GPUs Achieving 2x Speedups
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The system learned to optimize Blackwell 200 GPUs from scratch, independently arriving at distinct optimization strategies across a long-tail of kernel problems. It outperformed baselines on 63% of problems and delivered more than 2x speedups on 19% of them.
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Multi-Agent System Optimizes CUDA Kernels for GPU Efficiency
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The multi-agent system delivered optimizations that typically take experienced kernel engineers months or years. CUDA kernels are the core software supporting model training and inference. Faster kernels mean better GPU utilization and cheaper token costs.
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80s Expert Knowledge Input vs 2020s Data Labeling Efficiency
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In the 80s they paid experts to input their knowledge into AI. In the 2020s we do the same, except it’s much less efficient because the input is in the form of labeling data.
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DeepSqueak Upgrade: AI Audio Analysis Tool Enhancement
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…and wait, did we tell you we're also working on DeepSqueak upgrade?
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Max Welling AMA: AI and Materials Science Intersection
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Counting down until my
@Reddit #AMA later today with r/MachineLearning on the intersection of AI and materials science. I’ll be answering from 17.00 CET/16.00 BST/11.00 ET/08.00 PT. Start adding questions here: https://
reddit.com/r/MachineLearn
ing/comments/1skil2g/n_ama_announcement_max_welling_vaes_gnns/
…