Tyler Collins

Research computing consultant, Canada

I help researchers turn computational problems into reliable software and workflows: HPC systems, Python tooling, EEG/MEG pipelines, getting more out of the hardware you already have, and helping scientific teams use AI coding agents well.

Recent writing

All writing
  1. AI agents

    Why I still use Sol on low

    Astra surprised me, but GPT 6 Sol on low remains my daily driver. Here's where Fable and Opus 5.5 fit, and why my plan matters.

  2. HPC

    What Does a GPU-Hour Actually Measure?

    GPU-hours hide differences in GPU models, whole-device allocations, and MIG slices. Research reports need to say what was actually used and how the total was calculated.

  3. AI agents

    Before You Rebuild Your RAG Pipeline, Try an Agent

    If RAG is returning incomplete answers from dense technical documentation, try letting an agent search and read the source material directly.

  4. AI agents

    Read the incident report before declaring AGI

    The OpenAI and Hugging Face incident is a good example of why dramatic claims about AI need to be checked against the full incident report.

  5. Metrics

    Your KPIs Aren't Telling You Enough

    Uptime percentages and other headline KPIs can hide which capabilities failed, who was affected, and what an organization should do next.