#model efficiency — The Focus Digital

SEC.03 / LLM Research [01] 2026.07.10

An editorial illustration showing an AI neural network tangled in its own thought chains, with glowing reasoning paths that loop back on themselves and a simple correct answer sitting just out of reach, rendered in deep indigo and warm amber tones

LLMs Can Think Too Much — And It's Making Them Wrong

The AI field spent two years proving that longer reasoning chains produce better answers. Now a wave of new research shows the opposite: beyond a certain point, more 'thinking' actively degrades performance. The overthinking problem is real, measurable, and it's forcing a rethink of how we deploy reasoning models.

#LLM reasoning#test-time compute

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SEC.03 / LLM Research [02] 2026.04.08

Mixture of Experts: The Architecture Powering Every Major LLM in 2026

An accessible deep dive into Mixture of Experts (MoE) — the architecture behind GPT-5, Claude Opus, and Gemini — explaining how it works, why it won, and what's coming next.

#Mixture of Experts#MoE

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