In Lakatosian terms, the amyloid hypothesis is an example of a degenerating research program that has largely failed to predict new observations and is primarily driven by post hoc reasoning. The hypothesis was rescued by research claiming a significant new observation that was ultimately shown to be fraudulent (https://pmc.ncbi.nlm.nih.gov/articles/PMC12397490/).
From a Lakatosian perspective, the amyloid hypothesis is not necessarily wrong, but it is not paying off in terms of empirical insights relative to the amount of attention and funding it has received.
That particular concern is currently covered as far as SpaceX is concerned since it launches under DoD coverage. See the California Coastal Commission and the fact that they had to apologize etc. for attempted overreach.
My CEO did a deep dive into AI prototyping and eventually ran into a wall with data architecture and deployment. Fortunately, he realized very quickly that having human designed core infrastructure is what enables vibe coding that doesn't run off the rails.
If all CEOs were as reasonable, there would be no AI bubble. Working in tech constantly means checking what's new and if you can wait it out or risk being left behind. That requires wisdom, but many CEOs seem driven by FOMO.
It doesn't help FOMO that scaling the executive ladder also means progressively staying behind in technical skills to stay ahead in managing skills. It's awesome that your CEO has managed to keep his fangs sharp enough.
I'm a non-Conformist is the historic sense. In the past decades, American Christianity has devolved into a smorgasbord of personality cults and group therapy that effectively suppresses the freedoms that many Christians fought for at the country's founding. Not usually overtly, but the prison is in the mind (or its lack of use).
They should! If you take Parakeet (ASR), add Qwen 3.5 0.8B (LLM) and Kokoro 82M (TTS), that's about 1.2G + 1.6G + 164M so ~3.5GB (with overhead) on FP16. If you use INT8 or 4-bit versions then are getting down to 1.5-2GB RAM.
And you can always for example swap out the LLM for GPT-5 or Claude.
Computational biologist with a focus on predicting individual human health at a startup, but I have ended up managing software engineers. (Scientist explore and engineers make the science work in production.)
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