Presenter
George Hosu
George Hosu, polymath, spent his early twenties traveling the globe and building startups. Now he is trying to understand the mind to solve aging and attempting to improve scientific progress in the process.
Summary:
We have studied medicine and biology for 100 years, with great effects as far as median lifespan.
But no effect whatsoever no maximum lifespan, or on delaying the rate of aging.
In this talk, I wish to examine how one can go about understanding biology outside of currently existing paradigms and exploring amazing findings that provide interesting insights into biological systems but don’t fit an ontology in such a way that most biologists could integrate them into their world model.
I will briefly cover my own experiments and what they revealed about “low-hanging fruit” in the realm of solving cognitive decline, as well as the blockers that I faced trying to work outside of a molecular biology paradigm (or a medical paradigm) and instead look at a new layer: vasculature as the system of control.
Third, we’ll look at current data about human and animal longevity and how this contradicts existing paradigms, as well as explore potential updates this should cause to our models.
Tying everything up we’ll look at how various interesting outside-of-paradigm findings and facts we often ignore could help us find new experimental directions with the goal of solving human longevity, as well as advancing our understanding and control over biological systems more broadly.
Challenge:
– Funding for research that tries to build “tools” not “understanding”
– Allowing research to build “understanding” under different ontologies, as long as this is justified by results
– Updating on certain uncomfortable realities when talking about aging, and having to face them head-on in any given paper on the subject
– Understanding the vascular’s systems role in cognition and control
– Understanding how to direct the growth of vasculature
– Meta-research trying to figure out ontologies of ontologies within biological sciences and understanding which ones yielded surprisingly high amounts of useful findings per funding provided <this is comparatively boring and prone to attract many people because it’s a vague problem that can be solved on a computer so it should be left to beginners and given little funding, I’m weary even listing it here>
– Taking anencephalic clones ( / robot bodies) seriously and asking “how do we solve longevity” from the perspective of those issues being fixed, since they look like engineering issues, in a meaningful way “solved” problems given a 100-year horizon
Slides:
