We are seeking researchers, thinkers, and practitioners who have discovered fundamental problems with the current path to AGI — or who are building an alternative grounded in science. All presentations must address one of our nine statements.
All presentations must be grounded in a recognized natural science — physics, biology, chemistry, neuroscience, or a related empirical discipline. Mathematics alone is not science. Theory must connect to observable, testable phenomena.
This is not a technical conference. Presentations are delivered at the conceptual level, in plain English. Your audience includes investors, executives, policymakers, and researchers across disciplines. No slides full of equations. No code walkthroughs. You do not need a technical AI background to present.
At this time, we are not accepting presentations focused on large language models, transformer architectures, or the current mainstream AI stack. We are interested in what comes after — or what should have come before.
Every speaker presentation is tied to one of the statements presented at the event. You may provide further evidence for why a statement is right, or present an opposing view on why it is wrong — and what the alternative path forward looks like. The goal is not about who is right or wrong. It is to show the audience that behind the LLM hype, there is real, science-backed research on intelligence.
Provide a URL to a video of you speaking — a talk, a lecture, a panel, a podcast appearance. We need to see how you communicate ideas to a live or recorded audience.
Every presenter — including guest speakers — is subject to the same audience challenge as the event hosts. If your position can't withstand scrutiny, this isn't the right stage. Come ready to defend your work.
We present nine provocative statements about AGI. We do not expect guest speakers or the audience to blindly agree, but we will make a case for each.
Guest speakers are invited to either provide further evidence for why these statements are right or present an opposing view on why they are wrong — and what the alternative path forward looks like.
Science used to be about rigorous challenge. The polite presentations with friendly Q&A that dominate today have largely replaced the intellectual rigor that was the norm a hundred years ago. We hope to bring that back.
The goal is not about who is right or wrong. It is to show the audience that behind the LLM hype, there is real, science-backed research on intelligence that is not based on a guessing game.
The Global Economic Alliance (GEA) is an independent, nonpartisan research organization. We investigate the nature of intelligence, the path to AGI, and how AGI will affect economics, law, and governance.
GEA was established in early 2020 after direct experience with a Department of Defense AGI program convinced us that AGI requires independent scientific oversight. We are a small team with people in a handful of countries between the US and Europe.
We don't build AI products. We take on research engagements only when they are directly aligned with our mission. We do not take money from special interest groups of any kind.