Future of The World Post GenAI - LLMs: Power, Creativity and Intelligence
- Date
- 2024-08-24
- Location
- Mountain View, CA, USA
- Host
- Future of the World Post Gen-AI
About this event
The biggest questions in AI are no longer just about what large language models can do. They are about how these systems will reshape power, creativity, intelligence, work, and the way decisions get made across society. If you want a sharper, more grounded view of what comes after the first wave of GenAI hype, this gathering is designed to help you think clearly with other people who are taking the topic seriously. About the Event This is an in-person community event focused on the future of the world after GenAI, with large language models at the center of the conversation. The framing is intentionally broad but concrete: not just model capabilities, but the wider consequences of deploying these systems into real human, economic, and cultural environments. Expect a discussion that connects technical progress with bigger questions. How will LLMs change who has leverage in the economy? What happens to creative work when generation becomes cheap and ubiquitous? What should we mean by intelligence when machines can produce useful language, reasoning patterns, and original-seeming outputs at scale? The event is built for people who want more than surface-level talking points. Whether you come from an AI background or are approaching this from product, policy, design, research, investing, or simple curiosity, the goal is to create a room where nuanced conversation is possible. Because this is an in-person gathering in Mountain View, the format is especially suited to thoughtful exchange. You will have the chance to hear perspectives, challenge assumptions, compare notes with others, and leave with a more informed view of where LLMs may be heading next. What to Expect The conversation will center on the practical and strategic implications of post-GenAI society, rather than staying only at the level of demos or headlines. That means looking at both present realities and near-future shifts that people in the room may already be encountering in their work. Topics likely to shape the discussion include: Power: who benefits when LLM capabilities become infrastructure, and who may be left with less control Creativity: how writing, design, media, and idea generation change when synthetic output is easy to produce Intelligence: what these systems reveal, simulate, or obscure about reasoning, judgment, and expertise Adoption: where LLMs create real value, where they create noise, and how organizations decide the difference Societal impact: what changes when AI tools become embedded in education, communication, and decision-making You should expect a format that supports live exchange rather than passive attendance. Depending on how the evening unfolds, that may include a mix of framing remarks, open discussion, audience questions, and smaller conversational moments before or after the main program. This is also a useful setting for sense-making. Many people are trying to understand the same fast-moving landscape from different angles. Being in the room with others who are actively thinking about these questions can help you pressure-test your assumptions and notice patterns you might miss on your own. Why Attend If you are trying to develop a more serious perspective on AI, this event offers something increasingly rare: context. Not just whether LLMs are impressive, but why they matter, where their influence is likely to deepen, and what tradeoffs come with that shift. You will leave better equipped to talk about GenAI in a way that is less reactive and more useful. Instead of relying on broad optimism or blanket skepticism, you can build a more balanced view of where the technology is delivering leverage, where it is changing incentives, and where it still falls short. This event is also valuable because the subject is inherently cross-disciplinary. The future of LLMs will not be determined by engineers alone. It will also be shaped by founders, researchers, operators, creatives, educators, policymakers, and communities responding to the technology in real settings. Reasons people attend conversations like this include: To sharpen their thinking on how LLMs are changing the world beyond product announcements To hear grounded perspectives from others who care about both technical progress and broader consequences To connect ideas across fields such as AI, business, creativity, governance, and culture To meet other thoughtful attendees interested in the future of GenAI and its real-world effects To come away with better questions, not just hotter takes Practical Details The event will take place in person in Mountain View, USA on Friday, August 23 at 5:00 PM PDT. The in-person setting matters here: the topic benefits from live discussion, nuance, and the kind of back-and-forth that is much easier to sustain in a shared room. An early evening start makes this accessible for people coming from work, study, or nearby commitments. If this topic is central to your work or a growing part of your intellectual interests, it is worth setting aside the time for a conversation that goes deeper than a typical online thread or recorded talk. A few useful expectations to keep in mind: Plan for thoughtful discussion rather than a purely promotional or introductory session Come ready to engage with questions, perspectives, and debate around where LLMs are heading Expect a community atmosphere with people interested in AI from multiple angles Bring curiosity and specificity; the best conversations on this topic happen when attendees connect big ideas to real examples If you care about what comes after the first wave of GenAI excitement, this is a strong room to be in. The future of LLMs will be shaped not only by model progress, but by the people who understand the stakes well enough to ask better questions now.
Who should attend
This will be especially valuable if you want to move past generic AI commentary and think more seriously about what LLMs are changing. - You work in **AI, machine learning, product, engineering, or research** and want to discuss the broader consequences of LLM progress, not just model performance. - You are a **founder, operator, or builder** trying to understand where GenAI creates durable value, where it changes business dynamics, and where the risks are being underestimated. - You work in a **creative field** and are thinking hard about how language models are affecting authorship, originality, workflows, and the economics of creative work. - You come from **policy, education, strategy, or social impact** and want a more grounded view of how these systems may shape institutions, communication, and public life. - You are an **investor, analyst, or market observer** looking for better signal on how power may shift as LLMs become embedded in products and organizations. - You are simply **deeply curious and ready to engage thoughtfully**, even if you are not technical, and you want to be in a room with people asking sharper questions about the post-GenAI world.