Suppose hypothetically you have an account at a brokerage with some valuable asset in it. You take a margin loan against that asset to fund your normal spending, or pay a tax bill, or maybe buy something at another brokerage.
Torn between "I think losing $100 million when someone beats you at security research is pretty much exactly what you signed up for doing yield farming" and "Maaaaaaaybe not the future of finance you were expecting, huh."
Suppose hypothetically you have an account at a brokerage with some valuable asset in it. You take a margin loan against that asset to fund your normal spending, or pay a tax bill, or maybe buy something at another brokerage.
And you think "Hmm, I have a large equity cushion against this loan."
Which I don't; I just feel like this is why you don't trust a CPU built out of redstone to build reliable financial infrastructure on top of.
Ill-timed liquidations can and do, but attacking someone doing something not-risky to force a liquidation is harder, because of many built in safeguards.
Two, if you regulated financial institution has a goof in your data feeds causes you to mechanically disadvantage retail...
This is not the consensus viewpoint among engineers, who do not have good calibration.
For the treasury auction? Oh heck yes I do. Expect a turf war between the money people and the terrorism people over who gets to lead the investigation.)
More from Patrick McKenzie
I like this heuristic, and have a few which are similar in intent to it:
Hiring efficiency:
How long does it take, measured from initial expression of interest through offer of employment signed, for a typical candidate cold inbounding to the company?
What is the *theoretical minimum* for *any* candidate?
How long does it take, as a developer newly hired at the company:
* To get a fully credentialed machine issued to you
* To get a fully functional development environment on that machine which could push code to production immediately
* To solo ship one material quanta of work
How long does it take, from first idea floated to "It's on the Internet", to create a piece of marketing collateral.
(For bonus points: break down by ambitiousness / form factor.)
How many people have to say yes to do something which is clearly worth doing which costs $5,000 / $15,000 / $250,000 and has never been done before.
Here's how I'd measure the health of any tech company:
— Jeff Atwood (@codinghorror) October 25, 2018
How long, as measured from the inception of idea to the modified software arriving in the user's hands, does it take to roll out a *1 word copy change* in your primary product?
Hiring efficiency:
How long does it take, measured from initial expression of interest through offer of employment signed, for a typical candidate cold inbounding to the company?
What is the *theoretical minimum* for *any* candidate?
How long does it take, as a developer newly hired at the company:
* To get a fully credentialed machine issued to you
* To get a fully functional development environment on that machine which could push code to production immediately
* To solo ship one material quanta of work
How long does it take, from first idea floated to "It's on the Internet", to create a piece of marketing collateral.
(For bonus points: break down by ambitiousness / form factor.)
How many people have to say yes to do something which is clearly worth doing which costs $5,000 / $15,000 / $250,000 and has never been done before.
More from Tech
"I really want to break into Product Management"
make products.
"If only someone would tell me how I can get a startup to notice me."
Make Products.
"I guess it's impossible and I'll never break into the industry."
MAKE PRODUCTS.
Courtesy of @edbrisson's wonderful thread on breaking into comics – https://t.co/TgNblNSCBj – here is why the same applies to Product Management, too.
There is no better way of learning the craft of product, or proving your potential to employers, than just doing it.
You do not need anybody's permission. We don't have diplomas, nor doctorates. We can barely agree on a single standard of what a Product Manager is supposed to do.
But – there is at least one blindingly obvious industry consensus – a Product Manager makes Products.
And they don't need to be kept at the exact right temperature, given endless resource, or carefully protected in order to do this.
They find their own way.
make products.
"If only someone would tell me how I can get a startup to notice me."
Make Products.
"I guess it's impossible and I'll never break into the industry."
MAKE PRODUCTS.
Courtesy of @edbrisson's wonderful thread on breaking into comics – https://t.co/TgNblNSCBj – here is why the same applies to Product Management, too.
"I really want to break into comics"
— Ed Brisson (@edbrisson) December 4, 2018
make comics.
"If only someone would tell me how I can get an editor to notice me."
Make Comics.
"I guess it's impossible and I'll never break into the industry."
MAKE COMICS.
There is no better way of learning the craft of product, or proving your potential to employers, than just doing it.
You do not need anybody's permission. We don't have diplomas, nor doctorates. We can barely agree on a single standard of what a Product Manager is supposed to do.
But – there is at least one blindingly obvious industry consensus – a Product Manager makes Products.
And they don't need to be kept at the exact right temperature, given endless resource, or carefully protected in order to do this.
They find their own way.
Here is a simple example of a machine learning model.
I put it together a long time ago, and it was very helpful! I sliced it apart a thousand times until things started to make sense.
It's TensorFlow and Keras.
If you are starting out, this may be a good puzzle to solve.
The goal of this model is to learn to multiply one-digit
I put it together a long time ago, and it was very helpful! I sliced it apart a thousand times until things started to make sense.
It's TensorFlow and Keras.
If you are starting out, this may be a good puzzle to solve.
The goal of this model is to learn to multiply one-digit
It is a good example of coding, what is the model?
— Freddy Rojas Cama (@freddyrojascama) February 1, 2021
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Viruses and other pathogens are often studied as stand-alone entities, despite that, in nature, they mostly live in multispecies associations called biofilms—both externally and within the host.
https://t.co/FBfXhUrH5d
Microorganisms in biofilms are enclosed by an extracellular matrix that confers protection and improves survival. Previous studies have shown that viruses can secondarily colonize preexisting biofilms, and viral biofilms have also been described.
...we raise the perspective that CoVs can persistently infect bats due to their association with biofilm structures. This phenomenon potentially provides an optimal environment for nonpathogenic & well-adapted viruses to interact with the host, as well as for viral recombination.
Biofilms can also enhance virion viability in extracellular environments, such as on fomites and in aquatic sediments, allowing viral persistence and dissemination.
Viruses and other pathogens are often studied as stand-alone entities, despite that, in nature, they mostly live in multispecies associations called biofilms—both externally and within the host.
https://t.co/FBfXhUrH5d
Microorganisms in biofilms are enclosed by an extracellular matrix that confers protection and improves survival. Previous studies have shown that viruses can secondarily colonize preexisting biofilms, and viral biofilms have also been described.
...we raise the perspective that CoVs can persistently infect bats due to their association with biofilm structures. This phenomenon potentially provides an optimal environment for nonpathogenic & well-adapted viruses to interact with the host, as well as for viral recombination.
Biofilms can also enhance virion viability in extracellular environments, such as on fomites and in aquatic sediments, allowing viral persistence and dissemination.
