The way to read the graph is: each line is a time history of difficulty. It starts dotted, goes through a criticality inflection point, and then crests in difficulty before coming down to a stable plateau.
following a discussion at @yak_collective this morning, I came up with this chart to capture a hypothesis I have that the difficulty of creating communities scales exponentially with the the "depth" of what you're trying to do
![](https://pbs.twimg.com/media/Ery2sQJUwAAbrKj.jpg)
The way to read the graph is: each line is a time history of difficulty. It starts dotted, goes through a criticality inflection point, and then crests in difficulty before coming down to a stable plateau.
And even *talk* communities ain't easy. Failure rate is like 95%.
More from Venkatesh Rao
One other thing I should really clarify and that the @nytimes piece got *severely* wrong: while I believe there are very strong sociological and even causal links between rationalism and NRx (especially in the Silicon Valley homes bases) their ideological and methodological
— (((E. Glen Weyl))) (@glenweyl) February 14, 2021
IMO trying to correct whatever the NYT writer thought he knew/understood is futile. "Willing to be misunderstood by the NYT" should be the default stance unless you want to waste a lot of time correcting an obsolete 2013 map for people who don't care.
The thing is, the NYT still has enough normative cultural power, even as it has fallen from newspaper-of-record, that it takes a particular sort of heretical self-confidence to sort of ignore whatever they happen to be wrong about on any given week, whether or not it concerns you
A subtle shift has occurred in the workings of the Gell-Mann amnesia effect. It used to be an individual private amnesia re: media ("I'll believe myself when I am certain they got it wrong because I'm an expert, but still believe them when I am not"). Now it's a collective effect
A sort of common-knowledge threshold has been crossed lately. "Everybody knows that everybody knows the NYT is wrong on X across largish subcultures." It's no longer mutual beliefs being validated occasionally 1:1.
So, yesterday my daughter (9) was hungry and I was doing a jigsaw puzzle so I said over my shoulder \u201cmake some baked beans.\u201d She said, \u201cHow?\u201d like all kids do when they want YOU to do it, so I said, \u201cOpen a can and put it in pot.\u201d She brought me the can and said \u201cOpen it how?\u201d
— john roderick (@johnroderick) January 2, 2021
This is why I never wanted kids. Way too much responsibility for another human’s development. Depending on the child, this might either be the day they discovered who they were or the day that traumatized them into a lifelong fuckup. Either way I don’t want to direct the show.
As far as the can opener goes, it wouldn’t even occur to me to try and turn it into a teachable moment. That sounds vaguely quixotic. I’d just show them how immediately. I think my default is to try and instruct clearly but not demonstrate unless the person is truly disoriented.
I think there’s basically a right answer here: show the kid. If the kid has the aptitude they’ll enjoy the mechanism so much they’ll develop the figure-it-out skill with other devices. If not, it’s a training data point that will build remedial levels of intuition more slowly.
I think perseverance is both misframed and over-rated as a virtue. Misframed as in: everybody has potential for it in some areas and lacks it in others. Aptitude is those areas where perseverance comes easily to you. Meta-skill of knowing where/why you persist is more important.
More from For later read
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.
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One of those strategies which I like is Iron Fly✈️
Few important points on Iron fly stategy
This is fixed loss🔴 defined stategy ,so you are aware of your losses . You know your risk ⚠️and breakeven points to exit the positions.
Risk is defined , so at psychological🧠 level you are at peace🙋♀️
How to implement
1. Should be done on Tuesday or Wednesday for next week expiry after 1-2 pm
2. Take view of the market ,looking at daily chart
3. Then do weekly iron fly.
4. No need to hold this till expiry day .
5.Exit it one day before expiry or when you see more than 2% within the week.
5. High vix is preferred for iron fly
6. Can be executed with less capital of 3-5 lakhs .
https://t.co/MYDgWkjYo8 have R:2R so over all it should be good.
8. If you are able to get 6% return monthly ,it means close to 100% return on your capital per annum.