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In previous articles (1, 2), I analyzed Anthropic's J-space: why their interpretation falls short; why J-space analogues appear in micromodels under objective pressure rather than as an emergent property of scale; and why the vector they discovered is strictly equivalent to Vygotsky’s concept of the sign.

Two questions remained outside the scope: is a metasign possible—a sign integrating several basic ones—and what is the true nature of the neural network's self-description (the report)?

This article addresses both.

I recently published an app on Google Play where 99.9% of the source code was written by AI. It’s not just some "weekend hack job": a native app (Kotlin), over 50 screens, complex animations, multilingual support, an extensible architecture.

I achieved this through a highly detailed specification. Every screen was prototyped by a designer, for every button there was a description of which APIs to call. Was it worth it? Let’s look at the numbers.

Despite the annual summer lull, July unexpectedly saw a rise in the percentage of companies with open job listings—even for roles like Manual QA.