A LAM LAB PODCAST
Honest conversations with the people shaping intelligence, medicine, memory, and human judgment. We go past the headline to the evidence, tradeoffs, and lived experience underneath it.
Kiro Moussa · Joseph Ayinde · Tarun RamakrishnanThe first conversation
Neuroscience + Computer Science · UT Austin
MEMORY / BCI / HUMAN-AI INTERACTION
A conversation about graph memory, EEG and intent, AI sycophancy, the path from broad curiosity to deep expertise, and why a good evaluation harness matters more than fashionable infrastructure.
From the edit
The first recording is becoming a set of short, focused pieces. Each one holds a complete idea rather than a clipped sound bite.
The difference between storing what happened and understanding what should remain true.
CLIP IN EDITWhy outcome signals and productive disagreement matter more than engagement or flattery.
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How multidisciplinary exploration becomes useful only when it leads to real depth.
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Why end-to-end projects and evaluation teach more than chasing every framework name.
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What an abandoned wearable taught us about evidence, reliability, and moving the right question into software.
CLIP IN EDITInside the room
Everything in Context is for researchers, clinicians, builders, students, and operators willing to make the hidden part of their work visible.
The one your field has not answered cleanly, not the talking point everyone has already rehearsed.
We leave room for what failed, what changed, and what the evidence still cannot support.
Every conversation should leave a builder, clinician, researcher, or student with a sharper next move.
HAVE A QUESTION WORTH SITTING WITH?
Send the question you cannot stop thinking about, what you have built or studied around it, and where your perspective is still changing.
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