corgis_are_awesome

corgis_are_awesome t1_j9d0ee1 wrote

Reply to comment by flyingh1 in Samsung's next-gen display to add blood pressure and sugar level monitoring by xcalibre

What we ACTUALLY need isn’t a glucose monitor. What we NEED is an insulin monitor.

When we measure diabetes by the glucose, we are measuring it indirectly.

The problem with this is that you can eat a bunch of sugar, and if your pancreas is working fine, it will produce a bunch of insulin to balance your sugar levels. This causes insulin resistance to build up in your body over time, even if your glucose levels look fine.

The more sugar you eat, the more insulin you produce to balance the sugar. The more insulin you produce, the more your body gets used to it, and the less effective it becomes.

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corgis_are_awesome t1_j7q87s5 wrote

Reply to comment by apfejes in We’re Recursion and we’re using AI to decode biology and industrialize drug discovery! by ShakeNBakeGibson

I don’t know… to be honest, the way you are describing biological systems, the more I think of the way how real world software systems actually evolve in the wild, and the nightmare that is debugging large, complex, undocumented systems. But even if it seems chaotic, there are logical patterns that can be found, and understanding that can be developed.

Out in the real world, software programs rarely grow into the perfectly optimized and well organized logical constructs taught about in college. More often than not, they are full of extremely wonky solutions and poorly documented workarounds that have been duct taped together years ago by random people pasting code from stack overflow.

In my mind, biology isn’t even a biology problem as much as it is a particle physics problem.

For example - Particle Life: https://youtu.be/p4YirERTVF0

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corgis_are_awesome t1_j7q2bzp wrote

Reply to comment by apfejes in We’re Recursion and we’re using AI to decode biology and industrialize drug discovery! by ShakeNBakeGibson

Haha yeah I figured you might like that. :-)

Do you have any recommendations on the most efficient way to become knowledgeable about biology, especially in the way that would be useful to longevity research?

Would I have to go through a full college degree on the topic, or is there a way to bypass a lot of the noise and focus on learning the key parts that matter? I have a long history of rapidly learning new things. I like to start with a problem and work my way backwards towards the solution, learning and leveraging different technologies as I iterate toward a solution.

For example, when I was 13, I was approached by a company that wanted a software system that would let them have a communal inbox for their support staff, and a way for individual team members to pick up an email and start responding to it without stepping on someone else’s toes. So I repurposed a Matt’s Script Archive forum perl script, taught myself the basics of the perl language, and then molded it into a support ticket system that met their needs. I did that in a matter of weeks, at the age of 13, with a language I didn’t even know.

That was a long time ago, sure, but I have since learned many other languages and built many other solutions for companies over the years. For example l, I learned Python and got a job working with ai in education, specifically because I knew that Python was big in the machine learning world, and I wanted to move my career in that general direction.

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corgis_are_awesome t1_j7pnww7 wrote

Reply to comment by apfejes in We’re Recursion and we’re using AI to decode biology and industrialize drug discovery! by ShakeNBakeGibson

I seriously doubt that the biology field is wholly saturated with ai engineers and that the only way to be helpful is to have a deep knowledge of biology.

I’m a generally intelligent person, and I learn and adapt to new problems reasonably quickly. The future will be full of the need for human-guided thinking machines of all levels of complexity.

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corgis_are_awesome t1_j7penly wrote

Reply to comment by apfejes in We’re Recursion and we’re using AI to decode biology and industrialize drug discovery! by ShakeNBakeGibson

First of all, I greatly appreciate your time in writing a response!

If I understand you correctly, you believe that I would not have much to offer in longevity research without first going deep into training about biology.

If so, maybe that’s what I need to do next. I’m not opposed to going to school or being an apprentice somewhere while I transition into a helpful contributor.

With that said, I do feel like I could be a helpful contributor right now, as it is, even if I don’t have a degree in biology. I’m not too fond of wasting years of my life in college while the world goes by and all my other skills atrophy and become dated.

My thoughts on how to get around the time constraints revolve around multiplying the efficiency of our time by building and leveraging AI-powered data processing pipelines and ai workflows to analyze, summarize, and filter data and train new iterations or models. You say you want more insights and more time. That’s what I’m talking about—leveraging AI automation. I don’t have to know about biology to build those types of systems or to help you come up with out-of-the-box solutions to various problems.

I don’t have to spend years mastering how to solve Rubik’s cubes. I can use an app on my phone to solve any scrambled cube in less than a minute.

I think the life and longevity science fields could use a few more “ethical max scientists” and “ethical biohackers” to help them think outside of the box instead of being so stuck up in academia and clinically focused on minutiae

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corgis_are_awesome t1_j7o26aw wrote

Reply to comment by ShakeNBakeGibson in We’re Recursion and we’re using AI to decode biology and industrialize drug discovery! by ShakeNBakeGibson

I’ve recently become obsessed with the idea of using AI and technology to solve the problem of human longevity. I want to figure out how to beat cancer and other diseases before they end up killing me or one of my loved ones.

I don’t understand why so many people are distracting themselves with random careers when they could be literally saving their own lives if they just went into medical research.

So my question for you is this:

How can I help you?

I am currently on a sabbatical, in between projects, and I’m looking for my next thing to dedicate my life to.

I am a software engineer with over 20 years of professional experience in the field. I have worked on tech and software in HIPAA healthcare environments as well as FERPA educational environments. I have helped maintain servers in physical data centers. I have built and scaled large virtual server systems. I have built numerous web apps and tools. I have built machine learning data pipelines and data warehouses. My most recent project was building out an ai voice home shopping assistant for a major retailer.

You say your most constrained resource is time. What if I could help with that?

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corgis_are_awesome t1_iz0mhkt wrote

Reply to comment by JusticeForScizor in [OC] Building permits (in housing units) per capita, by state (fix) by born_in_cyberspace

There are plenty of people who are both willing and able, as evidenced by the constantly climbing prices and sales.

But if it’s 1000% harder to do a new build due to the government not issuing permits, and due to red tape from NIMBY people, then it’s easier to buy than to build.

It SHOULDN’T be that way, though. The people who already own homes want their properties to keep appreciating in value, and they know that the best way they can ensure that continues is to prevent new builds.

This isn’t rocket science

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