AI
Matt Ross and
AI
Agent Engineering: A New Discipline
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The share of human-agent and agent-agent interactions in the economy will increase over time, with agents engaging in price negotiation, placing orders from one another, coordinating supply and demand, and even rating each other to assign trustworthiness scores.
Faster Horses
you can only delegate effectively what you understand yourself.
AI + Human: Is 1 + 1 really equal to 3?
The choice is not between AI and human intelligence. It is between information ecosystems that sustain both and information ecosystems that degrade both. The research is clear on where current trajectories lead. The strategic question is what to do about it.
Substack • The Cognitive Collapse Thesis: How Polluted Information Loops Are Degrading Both Machine and Human Intelligence—And What It Means for Capital, Power, and Civilization
Social media platforms face a structural contradiction that current valuations do not adequately price. Their business model requires maximizing engagement. The research demonstrates that engagement-optimized content degrades both the AI systems trained on it and the humans consuming it.
Substack • The Cognitive Collapse Thesis: How Polluted Information Loops Are Degrading Both Machine and Human Intelligence—And What It Means for Capital, Power, and Civilization
The web is no longer primarily human-generated text created for human readers; it is increasingly AI-generated text created for algorithmic amplification, mixed with human-generated text optimized for the same algorithmic reward functions.
As AI systems train on this degraded corpus, they learn to reproduce its characteristics—shallow reasoning,... See more
As AI systems train on this degraded corpus, they learn to reproduce its characteristics—shallow reasoning,... See more
Substack • The Cognitive Collapse Thesis: How Polluted Information Loops Are Degrading Both Machine and Human Intelligence—And What It Means for Capital, Power, and Civilization
The web is no longer primarily human-generated text created for human readers; it is increasingly AI-generated text created for algorithmic amplification, mixed with human-generated text optimized for the same algorithmic reward functions.
As AI systems train on this degraded corpus, they learn to reproduce its characteristics—shallow reasoning,... See more
As AI systems train on this degraded corpus, they learn to reproduce its characteristics—shallow reasoning,... See more
Substack • The Cognitive Collapse Thesis: How Polluted Information Loops Are Degrading Both Machine and Human Intelligence—And What It Means for Capital, Power, and Civilization
Subsequent research by Gerstgrasser and colleagues at Stanford and MIT (arXiv:2404.01413) provides important qualification: model collapse is not inevitable if synthetic data accumulates alongside real data rather than replacing it. The pathological scenario assumes complete substitution—thoughtful data curation can prevent the worst outcomes.