I recently wrote about why LLMs often miss user intent even when the relevant information is present. My take is that it’s not just a “knowledge” gap, but a thinning meta-layer for observability, explanation, and control — the layer where human judgment and intent get negotiated.
I think it connects directly to reliability, safety, and evaluation for real-world systems.
I value your unique ways of showing more nuance about AI. Have a good new year
Happy 2026 Hans :)
Hi Hao — I really enjoy your practical LLM posts.
I recently wrote about why LLMs often miss user intent even when the relevant information is present. My take is that it’s not just a “knowledge” gap, but a thinning meta-layer for observability, explanation, and control — the layer where human judgment and intent get negotiated.
I think it connects directly to reliability, safety, and evaluation for real-world systems.
Here’s the piece if you’re curious:
https://northstarai.substack.com/p/ai-spoke-of-a-meta-layer-in-its-own