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Beyond The Prompt - How to use AI in your company

Beyond The Prompt - How to use AI in your company

著者: Jeremy Utley & Henrik Werdelin
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Beyond the Prompt dives deep into the world of AI and its expanding impact on business and daily work. Hosted by Jeremy Utley of Stanford's d.school, alongside Henrik Werdelin, an entrepreneur known for starting BarkBox, prehype and other startups, each episode features conversations with innovators and leaders to uncover pragmatic stories of how organizations leverage AI to accelerate success. Learn creative strategies and actionable tactics you can apply right away as AI capabilities advance exponentially.2024 - Jeremy Utley & Henrik Werdelin マネジメント マネジメント・リーダーシップ リーダーシップ 経済学
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  • Teaser: What We Learned From Diarra Bousso’s AI-First Fashion Startup
    2025/12/17

    In this teaser, Jeremy and Henrik debrief their conversation with Diarra Bousso, founder of the AI-first fashion startup DIARRABLU. They reflect on Diarra’s use of the word “yet” as a signal of growth, what it means to run a fashion brand more like a lab, and how her team “manages her back” when the ideas overflow. They also explore how AI is reshaping speed, sustainability, and experimentation in the fashion industry, and why your own lived experience might be your biggest asset in an AI-powered world.
    Full episode dropping next week.

    For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:

    Henrik: https://www.linkedin.com/in/werdelin
    Jeremy: https://www.linkedin.com/in/jeremyutley

    Show edited by Emma Cecilie Jensen.

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    13 分
  • The Future of AI with Illia Polosukhin: The Man Who Put the T in GPT
    2025/12/09

    In this episode, Illia Polosukhin joins Henrik and Jeremy to trace the origins of transformers and how practical constraints inside Google led to a breakthrough that reshaped modern AI. He explains why recurrent models were hitting limits, how parallel attention opened the door to scale, and why he believed a major jump in capability was imminent long before the rest of the world saw it.

    The conversation then turns to the risks and responsibilities of today’s AI systems. Illia describes how models can be subtly guided to influence user opinions, why open weights are not the same as truly open models, and how hidden behaviors can be embedded during training. He explains why provenance and verifiable data pipelines matter, especially as AI begins mediating more of the information we rely on.

    Later in the episode, Illia outlines how blockchain can support trust, identity, and coordination in a future where AI agents act on our behalf. He shares why information is becoming more valuable than money, how ownership of personal AI models will shape user agency, and why domain expertise becomes significantly more powerful when paired with modern generative tools.

    Key Takeaways:

    • Transformers emerged from practical constraints, not theory
      Illia explains that the shift from recurrent networks to attention was driven by speed and parallelization needs at Google, not a desire to invent a new paradigm.
    • AI’s step change was foreseeable to early builders
      Illia expected a ChatGPT level breakthrough several years before it arrived, based on clear research signals and accelerating model performance.
    • Provenance and trust will define the next phase of AI
      As AI systems can be subtly manipulated, Illia argues that verifiable data pipelines and transparent training processes are essential to prevent large scale misinformation.
    • Ownership and identity matter in an agent driven world
      Illia believes individuals will soon rely on AI agents that act autonomously, making it critical that users own their models and that interactions between agents are secured and verified.

    https://near.ai – NEAR AI Cloud and Private Chat products are now live, try them here
    Illia's X: x.com/ilblackdragon
    Illia's Substack: ilblackdragon.substack.com
    NEAR X: x.com/nearprotocol

    00:00 Intro: AI and Information Control
    00:29 Meet Illia Polosukhin: Co-Author of 'Attention is All You Need'
    01:03 The Evolution and Impact of AI
    13:24 The Birth of Near AI and Blockchain Integration
    15:16 Challenges and Innovations in Blockchain and AI
    22:17 Privacy and Security in AI Applications
    26:58 Exploring Sleeper Agents in AI
    29:19 Practical AI Implementation in Teams
    30:06 AI's Role in Product Development
    31:41 Challenges and Future of AI in Development
    36:35 AI and Economic Alignment
    41:46 The Future of AI Agents
    44:14 Debrief

    📜 Read the transcript for this episode: Transcript of The Future Of AI With Illia Polosukhin: The Man Who Put The T In GPT |

    For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:

    Henrik: https://www.linkedin.com/in/werdelin
    Jeremy: https://www.linkedin.com/in/jeremyutley

    Show edited by Emma Cecilie Jensen.

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    55 分
  • Teaser: What We Learned From the Man Who Put the T in GPT
    2025/12/03

    In this teaser, Jeremy and Henrik reflect on their conversation with Illia Polosukhin, co-author of the “Attention Is All You Need” paper and founder of Near Protocol. They dig into Illia’s early expectations for ChatGPT, why “owning your AI” isn’t just a catchphrase, and how blockchain could help protect the information we rely on. They also explore what it really means to work with AI and why your own experience might be more powerful than you think.
    Full episode dropping soon.

    For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:

    Henrik: https://www.linkedin.com/in/werdelin
    Jeremy: https://www.linkedin.com/in/jeremyutley

    Show edited by Emma Cecilie Jensen.

    続きを読む 一部表示
    11 分
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