『Gradient Dissent: Conversations on AI』のカバーアート

Gradient Dissent: Conversations on AI

Gradient Dissent: Conversations on AI

著者: Lukas Biewald
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概要

Join Lukas Biewald on Gradient Dissent, an AI-focused podcast brought to you by Weights & Biases. Dive into fascinating conversations with industry giants from NVIDIA, Meta, Google, Lyft, OpenAI, and more. Explore the cutting-edge of AI and learn the intricacies of bringing models into production.All rights reserved 経済学
エピソード
  • What a $42B Software Co. Really Spends on AI Tools
    2026/01/20

    “I don't worry about being replaced by AI. I worry about being replaced by someone who's really good at using AI.”

    Atlassian has 10,000+ engineers currently split-testing the world’s top AI coding tools, from GitHub Copilot and Cursor to Claude Code.

    In this episode, Co-Founder & CEO Mike Cannon-Brookes joins Lukas Biewald to share what their data reveals about the world's best AI tools today.

    Hear how 24 years of building a tech giant and a massive internal study on AI productivity have shaped Mike's vision for the future of dev jobs.

    Connect with us here:

    Mike Cannon-Brookes: https://www.linkedin.com/in/mcannonbrookes/?originalSubdomain=au

    Atlassian: https://www.linkedin.com/company/atlassian/?viewAsMember=true

    Lukas Biewald: https://www.linkedin.com/in/lbiewald/

    Weights & Biases: https://www.linkedin.com/company/wandb/


    00:00 Trailer

    01:08 Introduction

    03:11 Connecting Technology and Business Teams

    07:22 The Impact of AI on Business Workflows

    13:26 Developer Productivity and AI

    21:03 Measuring Developer Efficiency

    25:41 Future of AI in Development

    34:59 Legacy Technology and Code Changes

    39:29 AI's Role in Developer Productivity

    47:40 AI and Junior Developers

    52:30 Product-Led Growth and Business Strategy

    01:00:29 Core Metrics for Sustainable Growth

    01:06:56 Staying Creative in the Tech Industry

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    1 時間 8 分
  • Inside the $41B AI Cloud Challenging Big Tech | CoreWeave SVP
    2026/01/06

    The future of AI training is shaped by one constraint: keeping GPUs fed.

    In this episode, Lukas Biewald talks with CoreWeave SVP Corey Sanders about why general-purpose clouds start to break down under large-scale AI workloads.

    According to Corey, the industry is shifting toward a "Neo Cloud" model to handle the unique demands of modern models.


    They dive into the hardware and software stack required to maximize GPU utilization and achieve high goodput.

    Corey’s conclusion is clear: AI demands specialization.


    Connect with us here:

    Corey Sanders: https://www.linkedin.com/in/corey-sanders-842b72/

    CoreWeave: https://www.linkedin.com/company/coreweave/

    Lukas Biewald: https://www.linkedin.com/in/lbiewald/

    Weights & Biases: https://www.linkedin.com/company/wandb/


    (00:00) Trailer

    (00:57) Introduction

    (02:51) The Evolution of AI Workloads

    (06:22) Core Weave's Technological Innovations

    (13:58) Customer Engagement and Future Prospects

    (28:49) Comparing Cloud Approaches

    (33:50) Balancing Executive Roles and Hands-On Projects

    (46:44) Product Development and Customer Feedback

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    53 分
  • Why Physical AI Needed a Completely New Data Stack
    2025/12/16

    The future of AI is physical.

    In this episode, Lukas Biewald talks to Nikolaus West, CEO of Rerun, about why the breakthrough required to get AI out of the lab and into the messy real world is blocked by poor data tooling.

    Nikolaus explains how Rerun solved this by adopting an Entity Component System (ECS), a data model built for games, to handle complex, multimodal, time-aware sensor data. This is the technology that makes solving previously impossible tasks, like flexible manipulation, suddenly feel "boring."

    Connect with us here:

    Nikolaus West: https://www.linkedin.com/in/nikolauswest/

    Rerun: https://www.linkedin.com/company/rerun-io/

    Lukas Biewald: https://www.linkedin.com/in/lbiewald/

    Weights & Biases: https://www.linkedin.com/company/wandb/

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    1 時間 1 分
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