V11 x Bloomberg Beta: AI Infra + RL Private Dinner
- Date
- 2026-04-08
- Location
- San Francisco, CA, USA
- Host
- V11
About this event
If you spend your days thinking about how AI systems are built, trained, deployed, and improved, this dinner is designed for you. V11 x Bloomberg Beta: AI Infra + RL Private Dinner brings together a small, high-signal group in San Francisco for the kind of conversation that rarely happens in public: candid, technically informed, and grounded in what it actually takes to push AI infrastructure and reinforcement learning forward. This is not a conference, a pitch event, or a crowded mixer where everyone is half-listening. It is an in-person evening built around focused discussion, good food and drink, and real peer exchange with people working at the edge of AI infra, autonomy, and applied RL. About the Event This private dinner is a curated gathering for people building and investing in the systems behind modern AI. The focus is on AI infrastructure and reinforcement learning, with room for broader discussion around autonomy, tooling, deployment, evaluation, and what the next generation of AI products will require from the stack beneath them. The format is intentionally simple: an evening meal, a thoughtfully selected room, and a strong concentration of people who can speak from experience. That structure matters. It creates space for deeper discussion than you usually get in a public panel or a fast-moving networking event, while still keeping the energy social and welcoming. Because the event is hosted in person in San Francisco, the conversation can stay dynamic and nuanced. You can ask the harder follow-up question, compare notes across teams, and get beyond polished talking points into practical tradeoffs, emerging patterns, and unresolved challenges. Expect a room that values substance. Whether your perspective comes from engineering, research, product, or investing, the point is to gather people who are actively shaping how intelligent systems are trained, orchestrated, evaluated, and scaled. What to Expect The evening begins at 5:30 PM PDT on Tuesday, April 7 and is structured as a private dinner rather than a formal stage-driven program. That means the experience is likely to feel conversational from the start, with time to settle in, meet other attendees, and ease into discussion naturally instead of rushing through a packed schedule. You can expect a mix of: Introductions and informal connection-building early in the evening Focused table conversation around AI infrastructure, RL, autonomy, and adjacent technical themes Cross-functional perspectives from people approaching the same problems from different angles Food and drinks that support a relaxed, high-quality in-person experience Smaller-group exchanges that make it easier to go deep on a specific technical or market question Rather than optimizing for volume of attendees, this format optimizes for quality of interaction. Private dinners work best when the room is full of people who have real context to share, and when the setting makes it easy to move between broad industry discussion and concrete implementation detail. You should also expect conversations that are timely. AI infra and reinforcement learning are moving quickly, and many of the most useful insights right now are not yet distilled into blog posts or conference talks. This dinner is a chance to hear what others are seeing in real time, from system bottlenecks and tooling gaps to changing assumptions about model behavior, agentic workflows, and operational reliability. Why Attend If you are serious about AI systems, the value of this evening is straightforward: better conversations with the right people. In a landscape crowded with generic AI events, a focused private dinner gives you a better shot at leaving with insight you can actually use. You might attend to sharpen your understanding of where AI infrastructure is heading. You might come to compare approaches to RL, autonomy, orchestration, training loops, evaluation, or deployment. You might simply want to meet peers who are wrestling with similar constraints and opportunities. All of those are good reasons. This event is especially valuable because it sits at the intersection of technical depth and relationship-building. The best outcomes from evenings like this often include: A clearer view of where the infra stack is evolving New perspectives on RL and autonomous system design More informed opinions about what is hype versus what is working Stronger connections with founders, operators, researchers, and investors in the space Follow-up conversations that continue well after dinner ends There is also practical value in getting out of your usual context. San Francisco is full of people building in AI, but the signal is uneven. A selective dinner helps concentrate that signal into one room. If you care about staying close to the frontier without wasting time on broad, surface-level networking, this is a strong use of your evening. Practical Details This is an in-person event in San Francisco, USA, and the private dinner format means attendance is best suited to people who want to be present, engaged, and part of the conversation throughout the evening. The setting is intended to support discussion, not passive attendance. Date and time: Tuesday, April 7 5:30 PM PDT Because it is a dinner gathering, plan to arrive on time so you can meet the room early and get the most out of the flow of conversation. These events tend to reward full participation from the beginning, especially when introductions and early exchanges shape the tone for the rest of the night. If you work in or around AI, infrastructure, autonomy, reinforcement learning, or the broader builder/investor community, this event is built to be relevant from the moment you walk in. Come ready to talk concretely, listen carefully, and engage with others who are equally invested in where the field is going next.
Who should attend
This dinner is for people who want sharper conversations about AI infra and RL than they typically find at larger public events. - You are a **founder, engineer, or technical leader** building AI systems and want to compare notes on infrastructure, tooling, deployment, evaluation, or scaling challenges. - You work in **reinforcement learning, autonomy, or agentic systems** and want to discuss real implementation questions with people who understand the technical and product tradeoffs. - You are a **researcher or applied scientist** interested in how RL and modern AI infrastructure connect in practice, beyond theory alone. - You are a **product or platform leader** responsible for bringing AI capabilities into production and want a better view of what strong teams are doing under the hood. - You are an **investor or ecosystem builder** who follows AI closely and values candid, informed discussion with operators and founders in the space. - You prefer **small, high-context gatherings** over broad networking events, and you are the kind of attendee who contributes as much as you get from the room. If that sounds like you, you will likely feel at home here.