// llm limitations

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Jul 4

Why AI tutors fail where human teachers succeed

Smartschool's struggle to build exam prep software exposes a gap between retrieval systems (which fetch facts) and pedagogical systems (which diagnose misconceptions, scaffold learning progressively, and adapt to individual cognitive gaps). The market has oversimplified "AI in education" as content delivery, leaving a vacuum for tools that model student understanding rather than generate plausible answers—a harder engineering and data problem that explains why most edtech AI remains shallow against the hype.

theme-ai llm limitations model behavior technical capability

Jun 18

Google Questions Core Purpose Behind LLMs.txt Standard

Source: Search Engine Journal

Google's pushback reveals a practical fracture in how the LLMs.txt file—meant to let AI companies declare training data boundaries—actually gets deployed. The standard was designed for transparency and consent, but if companies are using it as a compliance checkbox rather than a genuine signal about their data practices, the mechanism fails at its stated purpose. When adoption is voluntary and verification is difficult, a file format cannot enforce good faith.