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.
the only definition of authenticity that doesn’t fall apart under close inspection: not a state of being, but a relational action, an interest in doing the hard work not just to find but to truly search , for each other, around each other, within each other.
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.
The winning strategies over the next decade will not be those that maximize short-term AI deployment. They will be those that build and maintain access to high-quality information flows—genuine human expertise, carefully curated training corpora, institutional knowledge that has not been corrupted by synthetic recursion.
This bet—that domain-specific human expertise matters more than volume of human annotation—represents one theory of how to maintain quality in an increasingly synthetic information environment.
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.
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
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