55 karma · joined September 17, 2021
P.S. The website design is also imho a bit wacky.
[0] https://en.wikipedia.org/wiki/File:Metabolic_Metro_Map.svg
Gemini: ``` Yes, the intracellular space is denser than the extracellular space:
Here's why:
Packing: Cells are packed with molecules like proteins, carbohydrates, and nucleic acids. These molecules take up a significant amount of space within the cell, leaving little room for just water.
Solutes: The intracellular space contains a higher concentration of dissolved molecules (solutes) compared to the extracellular space. This contributes to a higher density.
Extracellular Matrix: The extracellular space, on the other hand, contains a looser network of connective tissues and fluids like interstitial fluid. This allows for more space between molecules, resulting in a lower density.
```>>Still, trying to really figure out what the 'intention' was all those billions of years ago is hard
With this logic you'll need another billion of years to randomly figure it out. I'd rather focus on how/efficiently does such position contribute to a specific current experimental methodology or results.
Evolution also "tries" to save energy anywhere possible, so spending energy on the synthesis of endogenous ligands, which eventually will be discarded, seems a bit redundant. There is also a theorem in evolutionary game theory, that probability that natural selection will allow an organism to see reality as it is (=the truth) is exactly zero, as it's enough to make it just "good enough". I was arguing about that with Gemini, and it agreed with me. My point is that "evolution" is just a tool (like ChatGPT) with it's own instrumentally limited pool of empirical data (80% of which was also obtained from macroscopic enough observations rather than reverse engineering or experimentation) to build upon.
I actually want to apply one EE concept, which has some experimental basis. The reason why I am digging this, is that I am searching for some possible explanations of a couple of dozens of experimental studies in bioelectrics/magnetics I found. (though won't discuss in depth on a public forum)
Stochasticity sounds like there has been performed some theoretical modelling to infer this. But does it imply that there would be some tiny % of any ligand molecules - endogenous or exogenous - which would just by chance get "an empty run" and didn't bind to their receptors (though structurally they're fine ligands with high affinity) and would be removed via waste removal systems? Is there any experimental evidence for this, like some study using radiolabelled high affinity ligand molecules to see what % of them gets into "an empty run"?
The mean free path seems sort of sensible in the extracellular space, though it still seems that the variables affecting mean free path (large amounts of receptors and binding thingys, the very small spaces, and the temperature) may be not enough. But wouldn't mean free path be near zero inside cells, where every nanometer should be occupied by some other biochemical pathway/reaction or bioelectric activity?
>>Neither you nor I will see biology as a mature science.
I personally wouldn't care a lot about proving anything to anybody in some absolute sense, but first of all to prove instrumentally and make stuff work for myself at least. I think that any biology student with the descent understanding should have some mini lab for personalized medicine (as e.g. Sinclair mentioned that his recent research on using 6 chemical compounds for OSK epigenetic reprogramming (rather than bulky viral vectors) can be done by any biology student).
But I was curious, what do you think about the ways by which ligands find their receptors inside or outside cells in a dense bioelectrical and biochemical environment (as described here [0]). When I asked on stackexchange, they gave me a link about gradients and concentrations, but my question was about the very beginning of ligand's effect when it needs to find and activate at least one receptor. And no receptors seem to be able to "sense" a piece of space with a ligand's concentration, as they need direct binding of a ligand, but before this how does a ligand find a way to the receptor?
This may differ whether its a small or large molecule ligand, but my ligands of interest are ions (Ca/Mg, Na, K ,Cl; Li), peptides, anticancer drugs with metallocomplexes, ion channel drugs and similar drugs.
But I remember he was mentioning some study in left/right asymmetry in DevBio, where they've shown that it's cell potentials/bioelectric signalling and not genes that determine the left/right asymmetry in embryos.
It seems that both Claude and you use "voltage gradient" and "ion gradient" interchangeably, which may be not technically correct enough. In electrical engineering voltage = potential = charge difference btw 2 points = the driving force that drives a current to "flow" from a point of bigger potential to a lesser one (typically). Thus it is voltage (or a field) that will drive an ion or any charge gradient.
Yes, you may need genes to express the proteins of ion channels and gap junctions, but there is no anatomy coded by genes, no genes code for how many limbs will a biosystem have (as reiterated by Levin). And it is this level of resolution that actually mattered for years before the launch of molecular biology and medicine.
>>It’s not a separate magical force.
Indeed, it sort of (suppose - by up to 70%) is. If the fine structure constant, which defines the strength of the interaction between a charge and an electric field, were 4% less or more than its current value, the current world and biosphere wouldn't exist. So far physics can't explain why the fine structure constant has this exact value (~1/137, which is also unique that it is a dimenionless constant). (I'm not inferring anything, just presenting raw data).
And what is the actual evidence for this alternate hypothesis? Please provide the exact description of neuronal circuitry (numbers of neurons, network architectures, interconnectivity patterns, amounts of neurotransmitters used, spike patterns and the resulting EEGs etc) which generates this exact experience. Ask a distinguished professor of neuroscience. Use integrated information theory, emergent properties, quantum collapse in microtubules, whatever currently established paradigm - and provide the exact, 100% comprehensive and full description of the brain state that presumably generates this exact experience, also allowing to differentiate from all other experiences like just "machine elves", "non-self-transforming machine elves" or elves with any other properties. Or just begin with the 100% comprehensive and full description of the brain state/circuitry generating the taste of vanilla, which would be distinctly differentiable from the state/circuitry generating a taste of chocolate or garlic.
So someone is experiencing the self-transforming machine elves. Please provide the exact description of neuronal circuitry (numbers of neurons, network architectures, interconnectivity patterns, amounts of neurotransmitters used, spike patterns and the resulting EEGs etc) which generates this exact experience. Ask a distinguished professor of neuroscience. Use integrated information theory, emergent properties, quantum collapse in microtubules, whatever currently established paradigm - and provide the exact, 100% comprehensive and full description of the brain state that presumably generates this exact experience, also allowing to differentiate from all other experiences like just "machine elves", "non-self-transforming machine elves" or elves with any other properties. Or just begin with the 100% comprehensive and full description of the brain state/circuitry generating the taste of vanilla, which would be distinctly differentiable from the state/circuitry generating a taste of chocolate or garlic.
You buy aspirin in a pharmacy and the drug's instruction label lists tons of adverse effects - this is obviously a seemingly high quality of knowledge resulting from hard work in RCTs. Yet, there's absolutely no information predicting which exact adverse/beneficial effects will manifest in a specific person in a specific state of consciousness - and this is the actual empirical level where RCT derived information should actually matter and where it is ~50% useless (due to lack of context in RCTs themselves).
Let's be honest with it. So someone is experiencing the self-transforming machine elves. Please provide the exact description of neuronal circuitry (numbers of neurons, network architectures, interconnectivity patterns, amounts of neurotransmitters used, spike patterns and the resulting EEGs etc) which generates this exact experience. Ask a distinguished professor of neuroscience. Use integrated information theory, emergent properties, quantum collapse in microtubules, whatever currently established paradigm - and provide the exact, 100% comprehensive and full description of the brain state that presumably generates this exact experience, also allowing to differentiate from all other experiences like just "machine elves", "non-self-transforming machine elves" or elves with any other properties. Or just begin with the 100% comprehensive and full description of the brain state/circuitry generating the taste of vanilla, which would be distinctly differentiable from the state/circuitry generating a taste of chocolate or garlic.
So these people do not trip at all on hallucinogens? Sounds like rather improbable. ~70% of what you call "visual experience" is driven by non-visual cortices, like anterior cingulate, for example. And even before the visual cortex, even on the thalamus level, the thalamus receives up to ~60% of top-down connections from non-visual cortices. You do not need to literally see anything in order to get the information about it. Get your potato, monkey.
The amount of monkey types amongst these researchers is spectacular. In the current AI boom, with various RAG and prompt engineering, everyone is striving to maximize context, and no-one would deny that modern AI emulates parts of human mind/brain. And context sensitivity of quantum systems is also pretty much obvious.
Modern astronomy, for example, can pretty much as well challenge the standard of randomized controlled trials: no one uses experimental planets and galaxies to test their null hypotheses. No engineer would strive to falsify the objects they are developing by deliberately designing non-working engines etc. And this is pretty much considered science.
While these "social scientists" are still full of medieval bullshit, so that it is more optimal to commit suicide than use their evidence-skewed medicine, which under the hood by default considers the subjects are either rocks or dead.