All Biological life on earth is possible because of a discrete digital mechanism of preservation and replication.

The mechanism of signaling between the superorganism we know of as bacteria and its ongoing war against viruses is through a digital mechanism.
The source of innovation in biology is in this milieu of microbiome and viromes that are ubiquitous in every complex multicellular organism on earth. Humans are walking ecologies and cannot survive stripped of these ecologies.
We can picture this as a cloud of digital interaction that surrounds all of us.
The cells of multicellular creatures however do not communicate in the same way as bacteria. The DNA of mammals are sequestered from daily activity so as to prevent wear and tear.
The lifespan of mammals are related to their metabolism. The faster a mammal's heart beats the less time it has to live. A multicellular creature degrades like an analog system with each iteration error is accumulated.
Death is inevitable for multicellular creatures because our bodies have similar dynamics as non-linear systems found in chaos theory. The attractors that lead to our existence can lead to chaos and thus death.
Fortunately, evolution has gifted us with some of the digital mechanisms that bacteria have. The immune system is digital in nature. The same system that protects us from bacteria and viruses is also the same system that corrects for errors in our bodies.
At higher scales, evolution creates species that are more analog. But there is a constant tension between the drive to become analog and the need for preservation and replication.
All biological creatures balance these opposing forces by leveraging what is known as code duality. Every system has both an analog part that meets with the world and a digital part that preserves itself against the world.
In biology, the stuff that interprets the digital code of RNA are analog devices. More specifically, mechanical and electrical nano-machines.
The molecular machinery that converts energy into motion and energy into sensing are a consequence of biological innovation happening at bacteria and viral level.
But what meets the reality of physics and chemistry are analog machines. Living things require analog machinery to interpret and act within the world. The language of reality at higher scales is an analog language.
But to scale in size any organism requires digital mechanisms. Therefore this code duality must exist at many scales in a complex organism.
A common idea about the brain is that it is a dynamical system. A dynamical system is unlike a digital system like a computer. Brains have evolved to make sense of and move within their environments. They can only do so if they meet with the analog environment.
This idea however is an incomplete picture in the framing of code duality. The brain should have a digital component as predicted by this hypothesis of code duality. That digital component shares the same origin as our immune system.
Our immune system has the fascinating capability of recalling all the pathogens that have attempted to infect the body. What is the mechanism of this incredible memory system?
I've mentioned earlier that the human cognitive system consists of 3 'brains'. The nervous system, the endocrine system and the immune system. It's a very different triune brain that people conventionally think of.
The difference with biology and things that we design is that the latter has a designer that organizes things. So in a computer, the common currency is electrons. In biology, there is no common currency but a bureaucracy of transactions between different incompatible coins.
RNA has a surprisingly common currency (i.e. nucleotides). It is universal across earth originating living things. The power of digital systems come from a multitude of possible combinations. This only comes from standardization that leads to compatibility.
So evolution despite not having a designer with a mind, it has arrived at a strategy that acts like it has a mind!
@threadreaderapp unroll

More from Carlos E. Perez

More from Science

1. I find it remarkable that some medics and scientists aren’t raising their voices to make children as safe as possible. The comment about children being less infectious than adults is unsupported by evidence.


2. @c_drosten has talked about this extensively and @dgurdasani1 and @DrZoeHyde have repeatedly pointed out flaws in the studies which have purported to show this. Now for the other assertion: children are very rarely ill with COVID19.

3. Children seem to suffer less with acute illness, but we have no idea of the long-term impact of infection. We do know #LongCovid affects some children. @LongCovidKids now speaks for 1,500 children struggling with a wide range of long-term symptoms.

4. 1,500 children whose parents found a small campaign group. How many more are out there? We don’t know. ONS data suggests there might be many, but the issue hasn’t been studied sufficiently well or long enough for a definitive answer.

5. Some people have talked about #COVID19 being this generation’s Polio. According to US CDC, Polio resulted in inapparent infection in more than 99% of people. Severe disease occurred in a tiny fraction of those infected. Source:
Hard agree. And if this is useful, let me share something that often gets omitted (not by @kakape).

Variants always emerge, & are not good or bad, but expected. The challenge is figuring out which variants are bad, and that can't be done with sequence alone.


You can't just look at a sequence and say, "Aha! A mutation in spike. This must be more transmissible or can evade antibody neutralization." Sure, we can use computational models to try and predict the functional consequence of a given mutation, but models are often wrong.

The virus acquires mutations randomly every time it replicates. Many mutations don't change the virus at all. Others may change it in a way that have no consequences for human transmission or disease. But you can't tell just looking at sequence alone.

In order to determine the functional impact of a mutation, you need to actually do experiments. You can look at some effects in cell culture, but to address questions relating to transmission or disease, you have to use animal models.

The reason people were concerned initially about B.1.1.7 is because of epidemiological evidence showing that it rapidly became dominant in one area. More rapidly that could be explained unless it had some kind of advantage that allowed it to outcompete other circulating variants.
Ever since @JesseJenkins and colleagues work on a zero carbon US and this work by @DrChrisClack and colleagues on incorporating DER, I've been having the following set of thoughts about how to reduce the risk of failure in a US clean energy buildout. Bottom line is much more DER.


Typically, when we see zero-carbon electricity coupled to electrification of transport and buildings, implicitly standing behind that is totally unprecedented buildout of the transmission system. The team from Princeton's modeling work has this in spades for example.

But that, more even than the new generation required, runs straight into a thicket/woodchipper of environmental laws and public objections that currently (and for the last 50y) limit new transmission in the US. We built most transmission prior to the advent of environmental law.

So what these studies are really (implicitly) saying is that NEPA, CEQA, ESA, §404 permitting, eminent domain law, etc, - and the public and democratic objections that drive them - will have to change in order to accommodate the necessary transmission buildout.

I live in a D supermajority state that has, for at least the last 20 years, been in the midst of a housing crisis that creates punishing impacts for people's lives in the here-and-now and is arguably mostly caused by the same issues that create the transmission bottlenecks.

You May Also Like

First update to https://t.co/lDdqjtKTZL since the challenge ended – Medium links!! Go add your Medium profile now 👀📝 (thanks @diannamallen for the suggestion 😁)


Just added Telegram links to
https://t.co/lDdqjtKTZL too! Now you can provide a nice easy way for people to message you :)


Less than 1 hour since I started adding stuff to https://t.co/lDdqjtKTZL again, and profile pages are now responsive!!! 🥳 Check it out -> https://t.co/fVkEL4fu0L


Accounts page is now also responsive!! 📱✨


💪 I managed to make the whole site responsive in about an hour. On my roadmap I had it down as 4-5 hours!!! 🤘🤠🤘