Neuroscience · AI · Neurotech
The real thing, made legible. Written by someone who has been inside the machine — the pipelines, the models, the research. No hype. No handwaving.
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How the brain actually works versus how it gets described in headlines. Imaging methodology, network dynamics, and what the data really shows.
Neuroimaging · Methods · ResearchWhat machine learning in neuroscience actually looks like from inside a pipeline. Model evaluation, failure modes, and honest capability assessments.
ML · Evaluation · PipelinesWhere the brain-computer interface field is genuinely headed versus where it's being oversold. Separating signal from noise in an industry full of both.
BCI · Industry · ImplicationsThe gap between correlation and mechanism is wider than most fMRI studies acknowledge. Here's what the statistics actually say.
In progressThe headlines were about paralysis and mind control. The actual story is more interesting and more boring at the same time.
In progressA practitioner's guide to what large models actually know about neuroscience, and what they confidently hallucinate.
In progressAbout
There is a difference between someone who knows a little about a lot, and someone who goes deep in multiple areas and can move between them. Travis Beckwith is the latter — neuroimaging scientist, AI evaluator, neurotech adviser, and the rare practitioner who can make all of it legible.
Read the full story →New essays and notes delivered when they're ready — no algorithm, no noise, no publishing cadence that burns either of us out.
Free forever, for now. Paid tier coming later.