Feedforward Member Podcast

Feedforward

Feedforward is a member community for corporate leaders learning about AI. Each episode dives deep into one company or one issue that will help executives make better decisions around AI.

  1. APR 1

    The Future of Software: Steve Yegge on How Vibe Coding Changes the Game

    Today, we’re diving deep into vibe coding, a concept that’s really shaking things up in the software world. I’m chatting with Steve Yegge, a well-known software engineer and co-author of the book "Vibe Coding." Even if you're not a coder, the ideas we discuss are super relevant, especially as vibe coding makes software development more accessible to everyone. We’re all about exploring how this shift allows folks to create their own software solutions without needing to be full-on developers. We’ll break down the challenges and opportunities that vibe coding presents, and how it can help us all feel more in control of our tech. Whether you're a seasoned pro or just curious, there's something here for you. Takeaways: Vibe coding is a new approach to software development, making it more accessible to non-developers and those returning to coding after a break.The podcast highlights the importance of engaging with AI tools to enhance coding skills and streamline the development process effectively.There's a growing shift in software development where non-engineers are becoming more involved, leading to a collaborative environment between tech and business teams.Effective communication between developers and business folks is facilitated by AI, reducing misunderstandings and fostering a more productive work atmosphere.The concept of 'vibe coding' lets people create software more intuitively, focusing on their ideas rather than getting bogged down by technical specifics.Using tools like Beads helps keep track of tasks and enhances project organization, ensuring nothing falls through the cracks during the coding process.

    47 min
  2. JAN 21

    Inside Google's AI Teams: Logan Kilpatrick on Gemini, Builders, and Enterprise Adoption

    In this episode, Adam Davidson goes inside Google’s AI teams with Logan Kilpatrick, who leads developer products including the Gemini API and AI Studio. Logan shares how Google is moving from AI experimentation to real-world deployment—and what’s changed as these tools start to work at scale. They discuss how AI Studio has evolved into a builder-first platform, the rise of “vibe coding” across teams like product, sales, and legal, and why recent Gemini models have crossed a threshold from demos to practical use. The conversation also explores how Google approaches deploying probabilistic systems, and what enterprises need to rethink as they move from pilots into production. Looking ahead, Logan outlines where Google’s AI teams are focusing next—from more capable agents to proactive AI systems that support decision-making rather than simply responding to prompts. Takeaways: AI Studio is a powerful platform for developers, providing useful tools like the Gemini API that streamline the integration of AI models into products.Logan Kilpatrick highlights the significance of Vibe coding, which transforms how people within Google approach their work and enhances productivity.The conversation emphasizes the need for enterprises to shift from deterministic thinking about AI to understanding its probabilistic nature for better deployment outcomes.One key takeaway is the evolving landscape of AI, with models like Gemini 3 showcasing significant advancements that can change how organizations operate.The podcast discusses the importance of a proactive AI that can assist users in making decisions rather than being solely reactive to user prompts.Listeners are encouraged to explore AI Studio for building AI tools, as it now offers a more accessible entry point for developers looking to innovate.

    52 min
  3. 12/16/2025

    Mapping the Future: Tim O'Reilly on AI and Innovation

    Today's chat dives deep into the ever-evolving landscape of AI with none other than Tim O'Reilly, a titan in tech publishing and an insightful thinker. Tim emphasizes that the future of AI isn’t a solo act; instead, it’s an ongoing jam session where everyone contributes to the melody. We explore how our perceptions of technology need to shift, much like the transitions from IBM to Microsoft and the birth of Web 2.0, highlighting that nimble thinkers who adapt quickly will hold the keys to new opportunities. Tim also shares his vision of a multipolar AI world, where collaboration and shared innovation drive progress rather than monopolistic control. It's a compelling conversation that challenges us to rethink how we engage with and shape the future of AI. Takeaways: Tim O'Reilly emphasizes the importance of creating new frameworks to understand rapidly evolving technologies like AI and their societal impacts. The conversation highlights how historical shifts in technology often result in new mental models that broaden our understanding of possibilities. O'Reilly believes that the future of AI isn't predetermined by a single entity but shaped collectively by various players exploring new ideas and applications. A key takeaway is that organizations should focus on how AI can expand their capabilities rather than just increasing efficiency or replacing jobs. The episode discusses the necessity for diverse competition in AI to foster innovation and prevent monopolistic practices that stifle new ideas. Tim argues that the true value in AI is derived from enabling new forms of collaboration and participation across industries, rather than simply optimizing existing processes.

    49 min
  4. 11/20/2025

    AI Madness: Nicolai Tangen's Journey to 100% AI Adoption

    Nicolai Tangen, the CEO of the Norwegian Sovereign Wealth Fund, dives deep into his radical approach to integrating AI in asset management, claiming to be the “Madman in Chief” of AI. He shares how he achieved 100% AI usage across the fund, focusing on relentless internal communication and education to drive acceptance and implementation. We explore the transformative impact of AI on productivity, with Tangen citing impressive gains in efficiency that would keep the fund competitive in a rapidly evolving landscape. He also addresses common resistance points, emphasizing the importance of understanding and overcoming compliance concerns to harness AI’s full potential. Whether you’re leading an organization or just trying to keep up with the AI wave, Tangen’s insights are invaluable for navigating this new frontier. Takeaways: Nicolai Tangen, CEO of the Norwegian Sovereign Wealth Fund, emphasizes the need for relentless advocacy for AI within organizations.He believes that companies must embrace AI fully or risk falling behind their competition, as compliance can kill innovation.Incorporating AI successfully requires a mix of technical knowledge and a willingness to adapt, which can lead to a culture shift in organizations.Tangen highlights the importance of continuous upskilling for employees, indicating that mandatory training sessions have been effective in boosting AI usage. Companies mentioned in this episode: Norwegian Sovereign Wealth FundChatGPTClaudeCursorMorgan StanleyGoldman SachsJP MorganAnthropicOpenAIGoogle

    41 min
  5. 10/06/2025

    How AI is Transforming Work: A Chat with Rebecca Hinds

    The future of work is a hot topic, especially with AI shaking things up in ways we can't ignore. This episode dives deep into this question with Rebecca Hinds—not just any guest, she’s got a PhD in how AI transforms work and leads the Work Transformation Lab at Glean. We discuss how organizations are currently using AI and what that means for the structure of work in the future. Rebecca shares her insights from research showing that it’s not just about individuals adopting AI, but how teams and entire organizations can leverage it to improve workflows and collaboration. We explore the challenges companies face in scaling AI and how a more integrated approach can change the game for everyone involved. Alongside her research, Rebecca also brings a practical lens to collaboration as the author of Your Best Meeting Ever, a blueprint for transforming meetings from time-wasters into powerful tools for teamwork and innovation. Takeaways: The future of work is heavily influenced by AI, but there's still much uncertainty about its impact on jobs and organizations. Organizations struggle with AI adoption as many employees remain skeptical and are fearful of being replaced by technology. Successful deployment of AI requires understanding workflows and empowering the right influencers within organizations to drive change. The transformation of work is not just about individual tasks but rethinking entire work streams and team dynamics in a collaborative manner. AI has the potential to automate busy work, allowing employees to focus on more strategic and creative tasks, leading to a more engaged workforce. Creating a psychologically safe environment is crucial for employees to share their experiences and ideas about using AI without fear of negative repercussions. Links referenced in this episode: Your Best Meeting Ever, by Rebecca Hinds Companies mentioned in this episode: FeedforwardAsana Glean

    52 min
  6. 08/29/2025

    From Insights to Action: How AI is Transforming Moderna

    We're diving deep into how AI is totally transforming the way Moderna operates. Brice Challamel, the head of AI at Moderna, shares some seriously eye-opening insights into how the company has integrated AI across its processes. He emphasizes that AI isn't just about automating tasks; it's about empowering people to innovate and thrive in their roles. For instance, we talk about how AI tools are being used to connect data across various therapeutic areas, enabling scientists to learn from each other's experiments. Plus, we explore the importance of a supportive environment where employees can leverage AI to elevate their work, rather than seeing it as a threat. This conversation is all about understanding the holistic impact of AI on the future of work—definitely a must-listen if you're curious about the intersection of technology and humanity in the workplace. Companies mentioned in this episode: FeedForward Moderna OpenAI ChatGPT Enterprise M Chat GPT 4.1 Deep Seq Mistral Claude Gemini Llama Takeaways: Moderna has seen an impressive AI adoption rate of 80-85%, enabling transformative uses across the company. The integration of AI at Moderna allows for innovative solutions in biotechnology, impacting various therapeutic areas. Brice emphasizes that AI is not just a technical tool, but a holistic approach to empower people within the organization. The use of AI fosters a culture of curiosity and creativity, leading to new ways of thinking and problem-solving at Moderna.

    1h 1m
  7. 01/28/2025

    Navigating AI Risks: Simon Willison's Take on Security

    Adam Davidson welcomes listeners to a thought-provoking conversation with Simon Willison, a feedforward expert, as they delve into the intricate relationship between AI and security. Their discussion opens with a humorous yet intriguing benchmark—Simon’s whimsical challenge of generating an SVG of a pelican riding a bicycle, which serves as a metaphor for evaluating AI models. This playful examination leads to deeper concerns around the safety and reliability of AI usage, especially within enterprise contexts. Simon articulates the anxieties many organizations face regarding data privacy and the potential risks associated with feeding sensitive information into AI chatbots. A central theme that emerges is the misconception that AI models retain user input in a way that would jeopardize confidential data. Simon clarifies that while the models do not learn from individual user interactions in real-time, there are still significant complexities around data handling and how different AI providers manage user inputs for future training. Takeaways: Understanding the implications of prompt injection is crucial for developers using AI models. AI models are very gullible, which can lead to serious security vulnerabilities. Using local models can mitigate risks associated with data leaving your organization. Open source models are becoming more capable and accessible for organizations concerned about privacy. Jailbreaking models can expose vulnerabilities, but they often lead to harmless outcomes. Security measures should focus on limiting the impact of potential exploits in AI applications. Links referenced in this episode: SimonWillison.net Companies mentioned in this episode: FeedForward SimonWillison.net OpenAI Anthropic Google AWS Nvidia Alibaba

    46 min

Ratings & Reviews

5
out of 5
2 Ratings

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Feedforward is a member community for corporate leaders learning about AI. Each episode dives deep into one company or one issue that will help executives make better decisions around AI.

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