He is NOT a fan of Trump which makes his predictions even more interesting.
2021 Predictions‼️
Made by James Howard Kunstler
👇🏻👀
He is NOT a fan of Trump which makes his predictions even more interesting.
4) The CIA is purged and reduced to a strictly analytical role for advising the executive.
6) Following the reversal of the news media’s election narrative (and the actual election results), BLM and Antifa are unleashed upon a number of cities and wreak considerable destruction..
11) The dollar DXY index falls under 80 by 2nd quarter, 60 at year end.
13) US oil production (minus natural gas liquids) down by 40-percent, year-end 2021.
16) Pension funds collapse as broken chain of rent-and-mortgage payments destroy Real Estate Investment Trusts.
18) Millions enrolled in make-work projects a la the New Deal (some of them of value).
19) New York City forced to curtail subway service to bare minimum as money runs out.
21) George Soros and several directors of Soros-funded NGOs charged with racketeering and election campaign finance crimes.
24) Bitcoin “Hodlers” becoming Bitcoin “Sodlers” as cryptos tank.
More from For later read
1. The death of Silicon Valley, a thread
How did Silicon Valley die? It was killed by the internet. I will explain.
Yesterday, my friend IRL asked me "Where are good old days when techies were
2. In the "good old days" Silicon Valley was about understanding technology. Silicon, to be precise. These were people who had to understand quantum mechanics, who had to build the near-miraculous devices that we now take for granted, and they had to work
3. Now, I love libertarians, and I share much of their political philosophy. But you have to be socially naive to believe that it has a chance in a real society. In those days, Silicon Valley was not a real society. It was populated by people who understood quantum mechanics
4. Then came the microcomputer revolution. It was created by people who understood how to build computers. One borderline case was Steve Jobs. People claimed that Jobs was surrounded by a "reality distortion field" - that's how good he was at understanding people, not things
5. Still, the heroes of Silicon Valley were the engineers. The people who knew how to build things. Steve Jobs, for all his understanding of people, also had quite a good understanding of technology. He had a libertarian vibe, and so did Silicon Valley
How did Silicon Valley die? It was killed by the internet. I will explain.
Yesterday, my friend IRL asked me "Where are good old days when techies were
Where are good old days when techies were libertarians.
— Cranky (@rushingdima) January 9, 2021
2. In the "good old days" Silicon Valley was about understanding technology. Silicon, to be precise. These were people who had to understand quantum mechanics, who had to build the near-miraculous devices that we now take for granted, and they had to work
3. Now, I love libertarians, and I share much of their political philosophy. But you have to be socially naive to believe that it has a chance in a real society. In those days, Silicon Valley was not a real society. It was populated by people who understood quantum mechanics
4. Then came the microcomputer revolution. It was created by people who understood how to build computers. One borderline case was Steve Jobs. People claimed that Jobs was surrounded by a "reality distortion field" - that's how good he was at understanding people, not things
5. Still, the heroes of Silicon Valley were the engineers. The people who knew how to build things. Steve Jobs, for all his understanding of people, also had quite a good understanding of technology. He had a libertarian vibe, and so did Silicon Valley
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.
#IDTwitter #IDFellows
Introducing our new series: “IDFN top 10 articles every fellow should read”🔖
#1: SAB management
by @mmcclean1 @LeMiguelChavez
Reviewers @KaBourgi, @IgeGeorgeMD, @Courtcita, @MDdreamchaser
We know is subjective & expect feedback/future improvements 👇
1. Clinical management of Staphylococcus aureus bacteremia: a review.
https://t.co/9tBCtp9mlP
👉 A must read written by Holland et al. where they review the evidence of the management of SAB.
2. Impact of Infectious Disease Consultation on Quality of Care, Mortality, and Length of Stay in Staphylococcus aureus Bacteremia: Results From a Large Multicenter Cohort Study.
https://t.co/XujO68pCuH
👉ID consult associated with reduced inpatient mortality.
3. Predicting Risk of Endocarditis Using a Clinical Tool (PREDICT): Scoring System to Guide Use of Echocardiography in the Management of Staphylococcus aureus Bacteremia
https://t.co/otcA1pxjAw
👉Predictive risk factors for infective endocarditis, and thus the need for TEE.
4. The Cefazolin Inoculum Effect Is Associated With Increased Mortality in Methicillin-Susceptible Staphylococcus aureus Bacteremia.
https://t.co/CQZiryVWZz
👉Presence of cefazolin inoculum effect in the infecting isolate was associated with an increase 30-day mortality.
Introducing our new series: “IDFN top 10 articles every fellow should read”🔖
#1: SAB management
by @mmcclean1 @LeMiguelChavez
Reviewers @KaBourgi, @IgeGeorgeMD, @Courtcita, @MDdreamchaser
We know is subjective & expect feedback/future improvements 👇
1. Clinical management of Staphylococcus aureus bacteremia: a review.
https://t.co/9tBCtp9mlP
👉 A must read written by Holland et al. where they review the evidence of the management of SAB.
2. Impact of Infectious Disease Consultation on Quality of Care, Mortality, and Length of Stay in Staphylococcus aureus Bacteremia: Results From a Large Multicenter Cohort Study.
https://t.co/XujO68pCuH
👉ID consult associated with reduced inpatient mortality.
3. Predicting Risk of Endocarditis Using a Clinical Tool (PREDICT): Scoring System to Guide Use of Echocardiography in the Management of Staphylococcus aureus Bacteremia
https://t.co/otcA1pxjAw
👉Predictive risk factors for infective endocarditis, and thus the need for TEE.
4. The Cefazolin Inoculum Effect Is Associated With Increased Mortality in Methicillin-Susceptible Staphylococcus aureus Bacteremia.
https://t.co/CQZiryVWZz
👉Presence of cefazolin inoculum effect in the infecting isolate was associated with an increase 30-day mortality.
