Beyond The Prompt - How to use AI in your company

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/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.

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 theoryIllia 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 buildersIllia 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 AIAs 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 worldIllia 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 hereIllia's X: x.com/ilblackdragonIllia's Substack: ilblackdragon.substack.comNEAR X: x.com/nearprotocol00:00 Intro: AI and Information Control00:29 Meet Illia Polosukhin: Co-Author of 'Attention is All You Need'01:03 The Evolution and Impact of AI13:24 The Birth of Near AI and Blockchain Integration15:16 Challenges and Innovations in Blockchain and AI22:17 Privacy and Security in AI Applications26:58 Exploring Sleeper Agents in AI29:19 Practical AI Implementation in Teams30:06 AI's Role in Product Development31:41 Challenges and Future of AI in Development36:35 AI and Economic Alignment41:46 The Future of AI Agents44:14 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/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.

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/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.

In this episode, Christian Keller joins Henrik and Jeremy to explain how world models are shaping the next stage of generative AI. He talks through how AI learns using different types of inputs, and why video adds a sense of continuity, change, and cause and effect that text alone does not provide. Christian shares vivid analogies and clear examples to show what multimodal models make possible.The conversation moves into how AI is now used throughout the research process, from generating synthetic data to evaluating model outputs. Christian shares how this loop is already in motion and how AI is helping scale and accelerate experimentation. He also reflects on the shift after ChatGPT launched, and how that changed the pace and structure of research work.Later in the episode, Christian describes how individual workflows are evolving, and how asking simple questions like “Could AI help with this?” often opens new possibilities. He shares examples from his own work and home life, including how his wife built and graded her own French exercises using generative tools.Key Takeaways:Text removes essential informationChristian explains that text compresses reality and loses detail, context and temporality. Images and video help restore what text leaves out.World models give AI a sense of changeVideo introduces the before and after and how things move or enter a scene. This helps models learn cause and effect and builds more robust understanding.AI helps build AIModels can generate data, evaluate results and support researchers during development. Christian shows how this creates new ways of scaling experimentation and training.Workflows shift when AI handles early stepsChristian shows how tasks like debugging and prototyping change with generative tools, which reshapes roles and opens new opportunities for innovation.LinkedIn: Christian Keller | LinkedIn00:00 Intro: Information Compression00:37 Meet Christian Keller: AI Expert01:13 The Evolution of AI Products02:11 Impact of ChatGPT on AI Development02:38 Understanding PyTorch and Its Role07:41 The Bitter Lesson in AI09:12 Challenges and Future of AI Models18:57 Using AI to Build AI23:25 Innovative Chat Interfaces23:41 Building the Autos Platform24:35 Epiphanies in AI Integration25:18 AI in Entrepreneurial Workflows26:32 Challenges in AI Integration31:15 Bias in AI Models38:06 Debrief 📜 Read the transcript for this episode: Transcript of AIs Next Frontier: World Models Explained by Christian Keller | 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/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.

In this teaser, Jeremy and Henrik break down their immediate takeaways from their conversation with Christian Keller, including model fidelity, hallucinations, and the surprising ways AI is already reshaping everyday workflows.Full episode drops tomorrow. 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/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show edited by Emma Cecilie Jensen.