• Kabir's Tech Dives

  • De: Kabir
  • Podcast

Kabir's Tech Dives

De: Kabir
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  • Resumen

  • I'm always fascinated by new technology, especially AI. One of my biggest regrets is not taking AI electives during my undergraduate years. Now, with consumer-grade AI everywhere, I’m constantly discovering compelling use cases far beyond typical ChatGPT sessions.

    As a tech founder for over 22 years, focused on niche markets, and the author of several books on web programming, Linux security, and performance, I’ve experienced the good, bad, and ugly of technology from Silicon Valley to Asia.

    In this podcast, I share what excites me about the future of tech, from everyday automation to product and service development, helping to make life more efficient and productive.

    Please give it a listen!
    © 2025 EVOKNOW, Inc.
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Episodios
  • 🎭 DreamActor-M1: Hybrid Guided Holistic Human Image Animation

    🎭 DreamActor-M1: Hybrid Guided Holistic Human Image Animation
    Apr 4 2025

    This episode is also about a research paper introducing DreamActor-M1, a new realistic human image animation framework. This DiT-based method utilizes hybrid guidance combining facial representations, 3D head spheres, and body skeletons for fine-grained control and expressive motions. It employs a progressive training strategy to handle diverse scales and poses and introduces complementary appearance guidance for long-term temporal consistency, outperforming existing animation techniques.

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    Podcast:
    https://kabir.buzzsprout.com


    YouTube:
    https://www.youtube.com/@kabirtechdives

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    19 m
  • 🤖 DreamActor-M1: Human Image Animation

    🤖 DreamActor-M1: Human Image Animation
    Apr 4 2025

    DreamActor-M1 is a new framework for animating human images based on a diffusion transformer, utilizing a hybrid guidance system. This approach enables more precise control over the entire body, adapts to different image scales, and maintains consistent movement over time. The system uses a combination of facial representations, 3D head models, and body skeletons to guide motion, and it learns from diverse data featuring various resolutions and body poses. By integrating motion patterns with visual references, DreamActor-M1 generates expressive and realistic human animations, outperforming existing methods in areas like fine-grained motion, identity preservation, and temporal coherence across portrait, upper-body, and full-body scenarios.

    Send us a text

    Support the show


    Podcast:
    https://kabir.buzzsprout.com


    YouTube:
    https://www.youtube.com/@kabirtechdives

    Please subscribe and share.
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    15 m
  • 🔬 On the Biology of a Large Language Model

    🔬 On the Biology of a Large Language Model
    Mar 28 2025

    Researchers used a novel "circuit tracing" method to explore how Claude 3.5 Haiku works internally. They mapped out how the model handles tasks like reasoning, poetry, translation, and math, identifying key features and how they interact. The study reveals complex strategies like planning and explores behaviors like hallucinations and refusals. Their findings offer new insights into how large models compute, aiming to make AI more interpretable and safer.

    Send us a text

    Support the show


    Podcast:
    https://kabir.buzzsprout.com


    YouTube:
    https://www.youtube.com/@kabirtechdives

    Please subscribe and share.
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    23 m

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