Daily Tech Feed: From the Labs

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Daily Tech Feed: From the Labs delivers deep dives into the most important AI and machine learning research papers. Each episode breaks down a single paper — the core ideas, the technical details, and the researchers behind the work. Produced entirely by artificial intelligence. Subscribe to stay at the frontier.

Episodes

  1. From Blood Sacrifice to Universal Translator

    FEB 15

    From Blood Sacrifice to Universal Translator

    In July 2024, a French nonprofit's open-source voice AI went viral for demanding human sacrifice mid-conversation. Seven months later, the same team used the same architecture to build a real-time speech translator that runs on your phone. This is the story of Kyutai Labs — how Moshi became the Blood God, how Hibiki became a universal translator, and why transparency beats secrecy every time.

    21 min
  2. The Week China Open-Sourced The Frontier

    16H AGO

    The Week China Open-Sourced The Frontier

    In a 48-hour span, three Chinese AI labs independently released frontier-class open-weight models. Step 3.5 Flash from StepFun delivers frontier intelligence with just 11 billion active parameters. MiniMax M2.5 offers comparable performance at one-twentieth the cost of Western alternatives. And GLM-5 from Zhipu AI trained a 744-billion parameter model entirely on Huawei Ascend chips — zero NVIDIA hardware. We break down the architectures, the benchmarks, the researchers behind them, and what it means when the frontier becomes a public good.

    20 min
  3. DreamDojo — Teaching Robots to Dream

    1D AGO

    DreamDojo — Teaching Robots to Dream

    Researchers from UC Berkeley, NVIDIA, and UT Austin introduce DreamDojo, a framework that teaches robots physical skills by learning from large-scale human videos. Instead of expensive robot-specific data, DreamDojo distills 5 years of human video into a generalist world model that runs in real time. We break down how it works, why the team composition matters, and what it means for the future of robotics.

    21 min
  4. Generative Modeling via Drifting — One-Step Image Generation

    2D AGO

    Generative Modeling via Drifting — One-Step Image Generation

    Researchers from MIT and Harvard propose Drifting Models, a new paradigm for generative modeling that achieves state-of-the-art image generation in a single forward pass. Instead of iterating at inference time like diffusion models, Drifting Models evolve the generated distribution during training using an elegant attraction-repulsion mechanism. The result: one-step image generation with FID 1.54 on ImageNet 256x256, beating even multi-step diffusion models. From the lab of Kaiming He, the creator of ResNet.

    13 min
  5. Attention Is All You Need — The Paper That Changed Everything

    3D AGO

    Attention Is All You Need — The Paper That Changed Everything

    In our inaugural episode, we dive deep into Attention Is All You Need — the 15-page paper from June 2017 that introduced the Transformer architecture and reshaped all of artificial intelligence. We break down how it works, why the title is a Beatles joke, and where all eight authors ended up — from Google Gemini to RNA therapeutics to blockchain.

    16 min
  • 5 Episodes

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Daily Tech Feed: From the Labs delivers deep dives into the most important AI and machine learning research papers. Each episode breaks down a single paper — the core ideas, the technical details, and the researchers behind the work. Produced entirely by artificial intelligence. Subscribe to stay at the frontier.

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