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Daniel Miessler shares his Personal AI Infrastructure (PAI) framework and vision for a future where single human owners are supported by armies of AI agents. He explains his TELOS system for defining purpose and goals, multi-layered memory design, and orchestration of multiple models and sub-agents. The conversation dives into cybersecurity impacts, from AI-accelerated testing to inevitable personalized spear-phishing and always-on defensive monitoring. Listeners will learn how scaffolding can turn frontier models into true digital assistants and even help reshape their own working habits.
LINKS:
PAI principles on GitHub README
Daniel Miessler about page
How Miessler's projects fit together
AI changes predictions for 2026
Fabric open-source AI framework
Personal AI Infrastructure GitHub repository
Current definition of AGI article
Why we'll have AGI by 2028
RAID AI definitions framework article
Unsupervised Learning newsletter signup
Daniel Miessler LinkedIn profile
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