Tag: AI

  • NVIDIA Nemotron 3 Super: 120B Hybrid Model Activates Only 12B Parameters for Agentic AI

    NVIDIA Nemotron 3 Super: 120B Hybrid Model Activates Only 12B Parameters for Agentic AI

    On March 11, 2026, NVIDIA released Nemotron 3 Super — a 120-billion-parameter open-weight model that activates only 12 billion parameters per token, delivering frontier-class reasoning at a fraction of the compute cost. Designed for multi-agent AI systems, the model combines three distinct architectures into a single hybrid backbone and ships with a native 1-million-token context […]

  • Karpathy Open-Sources Autoresearch: 100 AI Experiments Overnight on One GPU

    Karpathy Open-Sources Autoresearch: 100 AI Experiments Overnight on One GPU

    Andrej Karpathy, former director of AI at Tesla and co-founder of OpenAI, has open-sourced autoresearch — a compact 630-line Python framework that lets AI agents autonomously design, run, and evaluate machine learning experiments on a single GPU. Released on March 7, 2026, the tool has already garnered over 8,000 GitHub stars and sparked a broader […]

  • Shenzhen Longgang Backs OpenClaw with Millions in Subsidies for One-Person AI Companies

    Shenzhen Longgang Backs OpenClaw with Millions in Subsidies for One-Person AI Companies

    Key points On March 7, 2026, Shenzhen’s Longgang District Artificial Intelligence (Robotics) Bureau released a draft policy to support OpenClaw and one-person company development. The ten-point plan targets individual developers and micro-enterprises building on OpenClaw, with subsidies totaling millions of yuan, and was open for public comment through April 6. OpenClaw is a free, open-source […]

  • FlashAttention-4: Algorithm and Kernel Co-Design for Blackwell GPUs

    FlashAttention-4: Algorithm and Kernel Co-Design for Blackwell GPUs

    Key points On March 5, 2026, Tri Dao and collaborators from Princeton University, Together AI, Meta, NVIDIA, and Colfax Research released FlashAttention-4, a ground-up redesign of the attention kernel optimized for NVIDIA’s Blackwell GPUs. The kernel reaches up to 1,605 TFLOPs/s on the B200 at 71 percent hardware utilization, running 1.3x faster than cuDNN 9.13 […]

  • LTX-2.3: Sharper Video, Native Portrait, and Cleaner Audio in Lightricks’ Latest Open-Source Model

    LTX-2.3: Sharper Video, Native Portrait, and Cleaner Audio in Lightricks’ Latest Open-Source Model

    Key points Lightricks released LTX-2.3 on March 5, 2026 under an Apache 2.0 license as a refinement of the 22-billion-parameter LTX-2 Diffusion Transformer that generates synchronized video and audio from a single architecture. The update focuses on four areas: a rebuilt VAE for sharper detail, an upgraded gated-attention text connector for prompt adherence, native portrait […]

  • Microsoft Releases Phi-4-Reasoning-Vision-15B: Small Model, Big Vision

    Microsoft Releases Phi-4-Reasoning-Vision-15B: Small Model, Big Vision

    Key points Microsoft released Phi-4-reasoning-vision-15B on March 4, 2026, a compact open-weight multimodal model that combines high-resolution visual perception with selective reasoning. It uses a mid-fusion architecture pairing a SigLIP-2 Naflex vision encoder, which processes up to 3,600 visual tokens at dynamic resolution, with the Phi-4-Reasoning language backbone. About 80% of training data uses <nothink> […]

  • NVIDIA Open-Sources SONIC: A Foundation Model for Humanoid Whole-Body Control

    NVIDIA Open-Sources SONIC: A Foundation Model for Humanoid Whole-Body Control

    Key points NVIDIA has open-sourced SONIC, a 42-million-parameter humanoid whole-body control foundation model trained on over 100 million frames of motion-capture data, released on February 20, 2026. SONIC scales model capacity from 1.2 million to 42 million parameters, using 100M+ frames of motion capture and 9,000 GPU hours across 128 GPUs over 3 days. Its […]

  • Junyang Lin Steps Down as Qwen Tech Lead in Abrupt Departure

    Key points On March 3, 2026, Junyang Lin, the tech lead and public face of Alibaba’s Qwen open-source AI project, announced his departure in a brief post on X reading “me stepping down. bye my beloved qwen.” The exit came just 24 hours after the Qwen team shipped the Qwen 3.5 small model series, and […]

  • Reverse Engineering Apple’s Neural Engine to Train Transformers on M4

    Reverse Engineering Apple’s Neural Engine to Train Transformers on M4

    Key points A developer reverse-engineered Apple’s Neural Engine (ANE) on M4 silicon and used it to train a transformer model, which Apple has never officially supported. The open-source project bypasses CoreML and talks directly to the hardware through private APIs, reaching 9.3ms per training step at 1.78 TFLOPS sustained on an M4 Mac Mini running […]

  • Qwen 3.5 Small Models: 9B Parameters That Beat 120B

    Qwen 3.5 Small Models: 9B Parameters That Beat 120B

    Key points On March 2, 2026, Alibaba’s Qwen team completed the Qwen 3.5 family with four small dense models of 0.8B, 2B, 4B, and 9B parameters for on-device and edge deployment. All four models are open-weight under Apache 2.0 and available on Hugging Face and ModelScope. Qwen3.5-9B outperforms models 3-13 times its size across language, […]