Edgar Pavlovsky: Multiplayer AI is Fundamentally a Permissions System Problem
edgarpavlovsky · x · 2026-07-29
Edgar Pavlovsky dives into the upcoming agent custody and permission challenges in the era of "multiplayer AI." He envisions standard access permissions: view, operate, and own an agent.
He breaks down the problem into three core dimensions:
- Identity & Core Memory: With durable core memories, what are the rules and boundaries for information sharing?
- Cross-Conversation Context: When and how does an agent use context from past conversations? Does it matter if the agent uses information internally for reasoning versus sharing it explicitly? Can information leak through reasoning?
- Enterprise Knowledge Access: Company brain access, agent learnings, and "agent dreaming" all function as information resources, facing the same management issues.
He concludes that sharing agents cross-company will take these challenges to an entirely new level, meaning multiplayer AI is ultimately a complex permissions system problem.
Related event: Multi-User AI Faces Challenges in Permission Architecture and Governance(2 posts)→
More from coding & agent
- Intent Lab says its fleet can turn intent into production software — himanshustwts · 2026-07-29
- Claude Code issue proposes a live input hook to edit prompts while typing — DimaZeniuk · 2026-07-29
- Codex plugs into Roblox Studio to build, test, and publish a game end to end — majidmanzarpour · 2026-07-29
- Anthropic ships MCP’s biggest update yet, making the protocol stateless — thesaraharminta · 2026-07-29
- DeepSeek previews V4 with 1M context, open weights and agentic coding upgrades — eyishazyer · 2026-07-29
- Meme captures the moment AI coding tools became a family demo — michael_nielsen · 2026-07-29