ON_Discourse Group Chat for AI Leaders with Nicholas Thorne, Co-Founder, Audos
- Date
- 2026-04-16
- Host
- ON_Discourse Events
About this event
AI leadership can feel oddly isolating: everyone is moving fast, the stakes are high, and the most useful conversations rarely happen in public. This ON_Discourse Group Chat is built for the people making real decisions about AI, autonomy, and how these technologies show up in products, teams, and communities. With Nicholas Thorne, Co-Founder of Audos, in the room, expect a focused, in-person discussion designed for substance over spectacle. About the Event This is an in-person group chat for AI leaders who want sharper thinking, better questions, and more honest conversation about where the field is heading. Rather than a one-way talk, the format centers dialogue: people bringing live perspectives, current challenges, and practical experience to the table. The conversation sits at the intersection of AI, tech, autonomy, community, and networking. That makes it especially useful for attendees who are not just tracking the latest tools, but actively thinking about implementation, responsibility, organizational impact, and what meaningful leadership looks like in a fast-changing space. Nicholas Thorne’s participation sets the tone for a session grounded in operator-level thinking. The value here is not in polished talking points; it is in being part of a room where people can discuss what is actually changing, what remains uncertain, and what deserves more disciplined attention. Because the event is framed as a group chat, attendees should expect interaction rather than passive listening. The format is meant to surface strong perspectives, useful disagreement, and the kinds of nuanced conversations that are hard to have in larger, less focused settings. What to Expect Expect a conversation-driven session with room for multiple viewpoints. While the exact flow may evolve with the room, the core experience is likely to include a shared opening frame, live discussion around pressing AI topics, and space for attendees to connect directly with one another. You can expect the event to center on themes such as: How AI leadership is changing as tools, expectations, and capabilities evolve Autonomy and decision-making, including where human judgment still matters most Practical challenges around adopting, deploying, or governing AI inside organizations Community insight, with attendees learning as much from peers as from the featured guest Relationship-building with others operating in adjacent or overlapping parts of the ecosystem Because it is in person, the event also offers something increasingly rare: context-rich interaction. Side conversations, follow-up questions, and informal networking often become just as valuable as the main discussion itself. The atmosphere should feel high-signal and conversational. Come prepared to listen carefully, contribute thoughtfully, and engage with people who are serious about the future of AI but not interested in empty hype. Why Attend If you work in AI, you already know that useful information is everywhere and real clarity is not. This event is valuable because it brings together people who are close enough to the work to move past generic opinions and into practical conversation. Attending gives you a chance to test your thinking against peers who understand the pace and complexity of the field. Whether you are shaping product direction, building teams, making strategy decisions, or navigating questions around autonomy, it helps to hear how others are approaching similar problems. You may leave with: Better questions to ask inside your own organization or project Fresh perspective on where AI leadership is becoming more demanding and more consequential Useful connections with people working through related opportunities and constraints A clearer sense of signal vs. noise in current AI conversations More grounded language for discussing autonomy, adoption, and responsible decision-making There is also real value in the room itself. Events like this work best when attendees bring candor, curiosity, and specificity. If that describes how you like to engage, this is a strong setting for finding peers who do the same. Practical Details This event takes place in person on Thursday, April 16 at 11:00 AM EDT. If you have been spending most of your AI conversations on video calls, message threads, or public feeds, this is a chance to step into a more focused environment and have the kind of discussion that benefits from presence. Because the format is discussion-oriented, it is worth arriving ready to participate. You do not need a polished point of view, but you will get more from the session if you come with a few live questions, current challenges, or emerging themes you are paying attention to. A few ways to prepare: Bring a concise view on what is most important in AI right now Be ready to talk about practical use cases, not just abstract trends Leave space for conversation, not just networking Plan to stay mentally present; the value will come from engagement in the room If you are looking for a highly produced conference experience, this is probably not that. If you are looking for a smart, in-person gathering where AI leaders can exchange ideas honestly, pressure-test assumptions, and meet others working at a serious level, this event is well worth your time.
Who should attend
This is for people who want sharper AI conversations than they typically get online, and who value being in a room with others making real decisions. - You lead or influence **AI strategy, product, research, operations, or implementation** and want to compare notes with peers facing similar choices. - You are thinking seriously about **autonomy**: where to trust systems, where to keep humans in the loop, and how to make those decisions responsibly. - You work in **tech** and need a clearer, more practical understanding of how AI leadership is changing across teams, products, and organizations. - You prefer **discussion over presentation** and get more value from asking questions, hearing tradeoffs, and exploring nuance than from listening to broad predictions. - You are looking for **high-quality community and networking** with people who care about substance, not just visibility. - You are building, advising, investing, or operating close to the AI ecosystem and want to spend time with others who can expand your perspective in a meaningful way. If you want a room full of informed people, honest discussion, and useful connections, you will likely feel at home here.