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Insights & Research

Exploring the confluence of frontier AI theory and the engineering realities of shipping it. Field notes, benchmarks, and the occasional opinion.

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FEATURED RESEARCH 14 min read

Latent Signals: what model internals tell us before the loss curve does

A practical primer on activation probing during fine-tuning runs — and the early signals that predict whether your model is actually learning what you think it is.

person
Latentsig AI Research May 2026
Engineering 8 min

Quantization without tears: a production checklist

INT8 in prod is a workflow, not a switch. The five steps we run before any model ships at reduced precision.

person Latentsig AI Eng
Strategy 6 min

Why your AI roadmap should be three lanes, not one

Research, integration, and operations move on different clocks. Treating them as one program is how teams stall.

person Latentsig AI Advisory
Research 12 min

Evaluating retrieval: beyond top-k accuracy

The metrics that actually correlate with downstream LLM quality — and the ones the leaderboards keep rewarding instead.

person Latentsig AI Research

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