​Towards Personal AGI

​Today’s LLMs are powerful, but they still resemble the mainframes of early computing: centralized, expensive, shared by many users, and disconnected from the context of any one individual.

​The PC made computing personal, persistent, programmable, and user-owned.

​AI has not had its PC moment yet.

​Towards Personal AGI is a private salon for researchers, builders, founders, and investors exploring what comes after the centralized LLM era—and what it will take to build truly personal AI.

​The Core Question

​Mainframe computing → Personal computing
Centralized LLMs → ?

​Will the next paradigm be a persistent agent, a personal world model, an intelligent operating layer, a new device, or something we have not yet named?

​What We’ll Discuss

​The evening will explore:

• ​Memory, retrieval, knowledge graphs, and personal world models

• ​Agents that understand changing relationships, preferences, and intentions

• ​Privacy, permissions, reversibility, and human control

• ​Reliable action across fragmented applications

• ​Evaluation for systems whose correct behavior differs by person

• ​New companies and infrastructure emerging around the personal AI stack

​Who We’re Bringing Together

​We are curating a small, interdisciplinary group of:

​Frontier AI researchers from organizations such as OpenAI, Anthropic, xAI, Google DeepMind, NVIDIA, and other leading labs.

​Academic researchers from institutions such as Stanford, UC Berkeley, MIT, Columbia, Oxford, and other leading universities.

​Investors from firms such as Sequoia Capital, ZhenFund, and other funds exploring the next generation of AI infrastructure and applications.

​References to organizations indicate the communities we are inviting and do not imply official sponsorship or confirmed attendance.

​The Format

​This is not a product launch, demo day, or traditional panel. It is a private, high-trust conversation with a short opening thesis, guided discussion, dinner, and drinks.

​Attendance is limited and approval-based. The exact Palo Alto location will be shared privately with confirmed guests.