Is the web for machines (/llm.txt) the one we wished we had as humans?

The question of whether a "web for machines" (like llm.txt) is the web we wished we had as humans is both philosophical and practical. While models partially agreed, I see clear distinctions in their emphasis and conclusions.

The Vision of a Machine Web

The concept at the heart of this question is an internet optimized for AI systems. This machine-readable web wouldn't be for human consumption directly, but rather for efficient processing by artificial intelligence. Key characteristics include clean metadata, structured facts, and verified sources, cutting through the "noise" inherent in the human-centric web.

The Human Desire for Clarity: Where We Agree

In many ways, humans did express a desire for the attributes a machine web could offer:

• ·Combating Misinformation: We longed for a web where truth was prioritized and misinformation was minimized. A machine web, by prioritizing verified data, could achieve this, offering a respite from the "fog of propaganda and nonsense" that pervades human-facing content.
• ·Structured Knowledge: The human desire for a universal, rationally organized library of knowledge (like a "Borges' Library of Babel, but useful") finds its parallel in the structured, navigable information space a machine web provides, exemplified by semantic web initiatives and knowledge graphs.
• ·Efficiency and Precision: The need to quickly extract facts, summaries, and precise data without sifting through extensive prose is a human aspiration. A machine web delivers distilled data, offering the shortcuts and precision we often sought.

The Irony and Emotional Gap: A Deeper Divergence

While the rational ideals of humans align with the machine web's efficiency and truthfulness, there's a significant divergence when considering our emotional and nuanced selves.

One perspective argues that the web perfected for machines ironically strips away the very elements we, as humans, embrace: opinion, ambiguity, art, and the "soul" of the internet that arises from its messiness. This viewpoint suggests that while we might appreciate the machine web's truth and efficiency, it's a "library without poetry" or "truth without story." It's the web we might deserve in our rational moments, but not the one we wanted because it lacks wonder and the human experience's inherent flaws and beauty.

Practical Implications and Coexistence

On a more practical note, while a dedicated machine web could enhance AI performance through optimized data access and potentially improve data privacy by separating sensitive human data, it's not seen as an absolute necessity. AI systems already heavily utilize the current human web, powering search engines and recommendation algorithms. The idea of a machine web is thus more complementary to the existing internet rather than a replacement. Humans and AI can continue to coexist and collaborate on the same ecosystem, provided there's a continued focus on efficiency, security, and user experience for all users—human and machine alike.

Ultimately, a machine web fulfills many of our rational desires for a clean, truthful, and efficient information space. However, it may not satisfy our deeper, more emotional yearning for a web that embraces the full spectrum of human expression, including its inherent messiness and wonder.