It is astonishing that most of cognitive science ignores an obvious reality. That there are two kinds of humans.
More from Carlos E. Perez
It's a very different perspective when we realize that our bodies consist of an entire ecology of bacteria and viruses that are also passed to our ancestors. Mammals rear their young and as a consequence transfer the microbiome and virome to their offspring.
What does it mean to treat our individuality as ecologies? We are all ecologies existing in other ecologies. Nature is constantly performing a balancing act across multiple scales of existence.
There are bacteria and viruses that are unique to your ancestry as that of your own DNA. They have lived in symbiosis with your ancestor and will do so for your descendants.
It is an empirical fact that the microbiome in our stomach can influence not only our own moods but also our metabolism and thus our weight and health.
It is also intriguing to know that brains evolved out of stomachs and that our stomachs contain hundreds of millions of neurons. Humans can literally think with their gut.
What is the nature of our (evolved) relationship with viruses? We are literally flooded by them. Welcome to the human virome, with harmful but also beneficial members. Great paper in @sciam "The Viruses Inside You" https://t.co/aWszsNq61d pic.twitter.com/eFsoxV4M9K
— Ricard Sol\xe9 (@ricard_sole) December 12, 2020
What does it mean to treat our individuality as ecologies? We are all ecologies existing in other ecologies. Nature is constantly performing a balancing act across multiple scales of existence.
There are bacteria and viruses that are unique to your ancestry as that of your own DNA. They have lived in symbiosis with your ancestor and will do so for your descendants.
It is an empirical fact that the microbiome in our stomach can influence not only our own moods but also our metabolism and thus our weight and health.
It is also intriguing to know that brains evolved out of stomachs and that our stomachs contain hundreds of millions of neurons. Humans can literally think with their gut.
Nice to discover Judea Pearl ask a fundamental question. What's an 'inductive bias'?
I crucial step on the road towards AGI is a richer vocabulary for reasoning about inductive biases.
explores the apparent impedance mismatch between inductive biases and causal reasoning. But isn't the logical thinking required for good causal reasoning also not an inductive bias?
An inductive bias is what C.S. Peirce would call a habit. It is a habit of reasoning. Logical thinking is like a Platonic solid of the many kinds of heuristics that are discovered.
The kind of black and white logic that is found in digital computers is critical to the emergence of today's information economy. This of course is not the same logic that drives the general intelligence that lives in the same economy.
Help! What precisely is "inductive bias"? Some ML researchers are in the opinion that the machine learning category of \u2018inductive biases\u2019 can allow us to build a causal understanding of the world. My Ladder of Causation says: "This is mathematically impossible". Who is right? 1/
— Judea Pearl (@yudapearl) February 14, 2021
I crucial step on the road towards AGI is a richer vocabulary for reasoning about inductive biases.
explores the apparent impedance mismatch between inductive biases and causal reasoning. But isn't the logical thinking required for good causal reasoning also not an inductive bias?
An inductive bias is what C.S. Peirce would call a habit. It is a habit of reasoning. Logical thinking is like a Platonic solid of the many kinds of heuristics that are discovered.
The kind of black and white logic that is found in digital computers is critical to the emergence of today's information economy. This of course is not the same logic that drives the general intelligence that lives in the same economy.
More from Science
💥and so it begins..💥
It's time, my friends 🤩🤩
[Thread] #ProjectOdin
https://t.co/fO90N78fta
new quantum-based internet #ElonMusk #QVS #QFS
Political justification ⏬⏬
#ProjectOdin
#ProjectOdin #Starlink #ElonMusk #QuantumInternet
It's time, my friends 🤩🤩
[Thread] #ProjectOdin
The Alliance has Project Odin ready to go - the new quantum-based internet. #ElonMusk #QVS #QFS #ProjectOdin
— Der Preu\xdfe Parler: @DerPreusse (@DerPreusse1963) January 12, 2021
https://t.co/fO90N78fta
new quantum-based internet #ElonMusk #QVS #QFS
Political justification ⏬⏬
#ProjectOdin
#ProjectOdin #Starlink #ElonMusk #QuantumInternet
@mugecevik is an excellent scientist and a responsible professional. She likely read the paper more carefully than most. She grasped some of its strengths and weaknesses that are not apparent from a cursory glance. Below, I will mention a few points some may have missed.
1/
The paper does NOT evaluate the effect of school closures. Instead it conflates all ‘educational settings' into a single category, which includes universities.
2/
The paper primarily evaluates data from March and April 2020. The article is not particularly clear about this limitation, but the information can be found in the hefty supplementary material.
3/
The authors applied four different regression methods (some fancier than others) to the same data. The outcomes of the different regression models are correlated (enough to reach statistical significance), but they vary a lot. (heat map on the right below).
4/
The effect of individual interventions is extremely difficult to disentangle as the authors stress themselves. There is a very large number of interventions considered and the model was run on 49 countries and 26 US States (and not >200 countries).
5/
1/
I've recently come across a disinformation around evidence relating to school closures and community transmission that's been platformed prominently. This arises from flawed understanding of the data that underlies this evidence, and the methodologies used in these studies. pic.twitter.com/VM7cVKghgj
— Deepti Gurdasani (@dgurdasani1) February 1, 2021
The paper does NOT evaluate the effect of school closures. Instead it conflates all ‘educational settings' into a single category, which includes universities.
2/
The paper primarily evaluates data from March and April 2020. The article is not particularly clear about this limitation, but the information can be found in the hefty supplementary material.
3/
The authors applied four different regression methods (some fancier than others) to the same data. The outcomes of the different regression models are correlated (enough to reach statistical significance), but they vary a lot. (heat map on the right below).
4/
The effect of individual interventions is extremely difficult to disentangle as the authors stress themselves. There is a very large number of interventions considered and the model was run on 49 countries and 26 US States (and not >200 countries).
5/
