stacks are eating the world

business used to be easiest to comprehend via a) market-based logic of horizontal vs. vertical STRUCTURE, b) professionalization/specialization based FUNCTION c) core competencies based BEHAVIORS

this has pretty much collapsed in the last decade
Structure = sclerosis
Functional specialization = bureaucracy
competencies = inertial habits

"Stack" thinking instead lets technology structure (rather than market structure) drive business org logic
Companies seem to do well when they identify an entire stack of technologies they are good at (not just point bits) and organize to conform to its logic. There is a "full-stack" dimension of technical specialization that is the spine of the org
It feels buzzwordy, but it really is getting to be that way. AI stack, decarbonization stack, mobility stack, electrification stack... some end-to-end pathway of turning physics into economics via layers of tech artistically baked together like a cake
If you haven't seen enough examples to instinctively pattern-match what I'm talking about, think of a stack as somewhere between an industry sector like "aerospace" and a functional specialization like "marketing."
Is the drone industry part of aerospace? Yes and no... there's an aerospace renaissance on to be sure, and some of it overlaps with the old kind and with lots of FAA regulations and such, but really what we have is a "new aerospace stack"
covers the tech needed to build useful end-to-end capabilities for everything from delivery drones to surveillance to disaster relief search-and-rescue to even indoor toys/games/robotic assistance... yes, bits of it look like boeing, but lots of it do not...
Here there is a 1:1 correspondence. Old aerospace is retreating to high-end/high-cost "platform" organization. In other cases, it's entirely new. There's a "sidewalk stack" for example (scooters, bike rentals, hoverboards, delivery robots, inspection robots)
I'd probably call that the "smart sidewalk" stack or "low-power urban mobility stack" ... currently a half-baked cake of technologies that impact many current and potential markets and businesses/orgs

More from Venkatesh Rao

Heh, one thing the nyt piece managed was to do a Cunningham's law nerdsnipe-wmd at newspaper scale... now a bunch of people are energetically trying to post the right answer.


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.
I’m guessing these responses really reflect people’s weighted averages (age*current average effort fraction) though I kept it simple and asked for just averages.


I suspect a healthy weighted average should be ~ (age-20)/2. So a 30 year old should be at 5, a 40 year old at 10, a 50 year old at 15 etc.

Standard deviation should be ~average/3 maybe, so distribution spreads as you age and accumulate projects and get better at them.

Other things being equal, people get good at starting in their 20s, at follow through in 30s, at finishing in 40s.

No point learning food follow through until you’ve found a few good starts to bet on. No point getting good at finishing until a few projects have aged gracefully.

I’m in the 7+ range myself. Probably 8-9. Slightly less than healthy for my age.

I suspect most self-judgments on being good starters/follow-through-ers/finishers are really flawed because of the non-ergodicity of project management skill learning. You can’t learn good practices for the 3 phases in an arbitrary order. On,y one order actually works.

More from Crypto

Excited to share our 2020 #Bitcoin review.

2020 will be remembered as the year the long fabled institutions finally arrived and #Bitcoin became a bonafide macroeconomic asset.

Below are the top highlights of each month for Bitcoin’s historic year.

1/


Bitcoin is now at all-time highs capping off an extremely successful year.

But it was by no means stable ride up.

2020 was a historically volatile year.

@YoungCryptoPM and I provided a detailed overview of every month of 2020 in all its

Jan.

3 days into the new year the US assassinated Iran’s top general Soleimani.

BTC surprisingly reacted to the events behaving like a safe haven as the risk of war increased.

The events provided the first hints of BTC potentially having graduated to a legitimate macro asset.


Feb.

COVID-19 reached a tipping point causing markets to crash.

BTC’s correlation with the S&P 500 reached an ATH in the following weeks.

This is when everyone learned BTC was not a recession hedge, it was a hedge against inflation and loss of confidence in fiat currencies.
https://t.co/JB7dJ3qp6M


Mar.

Financial markets in free fall.

The liquidity crisis was so severe BTC experienced one of it’s worst days ever.

Now known as Black Thursday, on March 12, BTC plummeted as much as 50% to below $4,000 at its lowest point on the day.

BTC closed the day down 40%
1/ A thread on Nexgen’s Arrow & the #uranium cycle ($NXE)


2/ Given the scale and cost structure of Arrow, it makes sense that investors are intensely focused on its delivery timeline. This thread will discuss possible timelines, current market expectations (i.e., what’s “priced in”) & how different Arrow scenarios will impact the mkt.

3/ As you can see from the litany of responses to Michael’s tweet, there is great skepticism in the market regarding Arrow’s timeline. This is largely due to a bearish narrative conveyed by competing CEO’s whose assets only hold value if Arrow is substantially delayed.

4/ Those who played “King of the Hill” as a child would remember that it is the person at the top who is constantly attacked, not the kid sitting at the bottom of the hill in the mud. No one cares enough about that kid to attack them. This is a good parable for $NXE & Uranium.

5/ First a quick note on “this cycle” – Segra generally defines this cycle as the deficits forecasted from the mid-2020s to late-2030s. When people imply an asset producing in the mid-to-late 2020s will “miss the cycle”, they clearly have not done any real S/D modelling.

You May Also Like

One of the most successful stock trader with special focus on cash stocks and who has a very creative mind to look out for opportunities in dark times

Covering one of the most unique set ups: Extended moves & Reversal plays

Time for a 🧵 to learn the above from @iManasArora

What qualifies for an extended move?

30-40% move in just 5-6 days is one example of extended move

How Manas used this info to book


Post that the plight of the


Example 2: Booking profits when the stock is extended from 10WMA

10WMA =


Another hack to identify extended move in a stock:

Too many green days!

Read
Master Thread of all my threads!

Hello!! 👋

• I have curated some of the best tweets from the best traders we know of.

• Making one master thread and will keep posting all my threads under this.

• Go through this for super learning/value totally free of cost! 😃

1. 7 FREE OPTION TRADING COURSES FOR


2. THE ABSOLUTE BEST 15 SCANNERS EXPERTS ARE USING

Got these scanners from the following accounts:

1. @Pathik_Trader
2. @sanjufunda
3. @sanstocktrader
4. @SouravSenguptaI
5. @Rishikesh_ADX


3. 12 TRADING SETUPS which experts are using.

These setups I found from the following 4 accounts:

1. @Pathik_Trader
2. @sourabhsiso19
3. @ITRADE191
4.


4. Curated tweets on HOW TO SELL STRADDLES.

Everything covered in this thread.
1. Management
2. How to initiate
3. When to exit straddles
4. Examples
5. Videos on