这篇文章全面介绍了人工智能的研究领域和技术框架，涵盖了从技术架构到经济和社会影响的各个方面。内容包括个人AI基础设施（PAI）、对AGI和ASI的可能性探讨以及针对AI系统的威胁建模框架等深入分析。 2025-8-30 12:0:0 Author: danielmiessler.com(查看原文) 阅读量:0 收藏
A comprehensive collection of my artificial intelligence research, frameworks, and implementation guides spanning technical architecture, economic impact, and societal transformation.
Personal AI Infrastructure (PAI)
Complete architectural blueprint for building production AI systems with context management, agent orchestration, and real-world automation
We've Been Thinking About AI All Wrong
Reconceptualizing AI as Intelligence Pipeline automation architecture rather than chatbot interfaces
Technical analysis of current AI capabilities and orchestration requirements for AGI achievement
Formal distinction between worker-replacement AI systems and generalized intelligence architectures
AI Influence Level (AIL) Framework
Standardized transparency framework for quantifying AI involvement in content generation (0-5 scale)
Methodology for achieving superintelligence through massively scaled idea generation and testing pipelines
AI's Predictable Path: 7 Components for 2024
Seven-layer architecture model: Digital Assistants, Universal APIs, DA Mediation, Active Protection, Module Ecosystem, AR Interfaces, Role-based DAs
6 Phases of the Post-GPT World
Phase transition analysis of post-transformer architecture adoption patterns
A Collection of Thoughts and Predictions About AI
Comprehensive prediction set with probability distributions and timeline estimates
To Survive AI, We Must Become Creators
Quantitative analysis of creator vs. executor economic dynamics in AI-transformed markets
Mathematical model for AI capacity expansion across volume and difficulty dimensions
How AI Will 100x Human Creativity
Productivity multiplication analysis with specific implementation examples
We Can't Really Affect AI Security
Game-theoretic analysis of security baseline determination through mass behavioral dynamics
ATHI — AI Threat Modeling Framework
Structured threat modeling: Actor, Technique, Harm, Impact dimensions
The AI Attack Surface Map v1.0
Comprehensive vulnerability taxonomy for AI systems
An Artificial Intelligence Primer
Core mathematical and computational foundations of AI systems
Formal comparison of ML algorithms vs. statistical methods
Technical arguments for emergent understanding in transformer architectures
AI Art Opens the Threat We Expected from AGI
Economic disruption analysis of creative AI systems
Technical feasibility of personality preservation through language models
Why Dwarkesh Is Wrong About AGI
Skill gap analysis in AI capability assessment
Personal AI Infrastructure (PAI)
Production-ready AI ecosystem implementation guide
Analyzing Threat Reports with Fabric
AI-powered intelligence analysis pipeline
More AI Research
Explore additional AI content including:
- Apple's Big AI Jump — Technical analysis of Apple's AI strategy
- AI Assistants Are The New Applications — Application paradigm shift
- Job Losses from Automation — Economic impact analysis
- AI and Synthetic Mind Creation — Digital consciousness requirements
- The AI Coinsorter Analogy — Conceptual framework for AI capabilities
- OpenAI's November 23' Releases — Agent-API integration patterns
- Why Marcus is Wrong About AI — Response to AI criticism
- AI Becoming Reading — Information consumption evolution
- Thoughts About 'Her' — AI consciousness and relationships
- Would You Put AI Art in Your House? — Cultural acceptance of AI creativity
- AI Art: Push 1 Percent Human Artists — Impact on creative industries
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