Expert Q&A

What should an expert interview establish?

Frontier Development research deskSection 06 · Page 1 of 17Last updated 26 October 2026

Use an interview to test assumptions and identify evidence that would change the decision. Do not treat a recognised name as a substitute for a buyer-controlled experiment.

This is an interview commissioning brief, not a completed interview. The people below are suggested because of identifiable published work or recorded conversations. No participation, quote, endorsement or commercial relationship has been secured. All answer outlines are the desk’s framing; they are not attributed views.

TRACE THE EVIDENCE

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This page contains no direct external citations. These are the section’s references; they do not independently validate the desk’s proposed scoring or methods.

QLoRA: Efficient Finetuning of Quantized LLMs — Dettmers et al., 23 May 2023 →arxiv.org
A Field Guide to Rapidly Improving AI Products — Hamel Husain →hamel.dev
Why AI Compute Comes in Rectangles — Erik Bernhardsson, Latent Space, 22 October 2026 →latent.space
SB26-189 Automated Decision-Making Technology — Colorado General Assembly →leg.colorado.gov
Demystifying evals for AI agents — Anthropic, 9 January 2026 →www.anthropic.com
LoRA Learns Less and Forgets Less — Biderman et al., revision 20 September 2024 →arxiv.org
The Inference Engineering Masterclass — Philip Kiely and Ali Taha, Latent Space, 3 August 2026 →latent.space
GroupKFold — scikit-learn documentation →scikit-learn.org
RouteLLM: Learning to Route LLMs with Preference Data — Ong et al., revision 23 February 2025 →arxiv.org
Llama 3.3 Community License Agreement — Meta →github.com