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
There are a *lot* of software shops in the world that would far rather have one more technical dependency than they'd like to pay for one of their 20 engineers to become the company's SPOF expert on the joys of e.g. HTTP file uploads, CSV parsing bugs, PDF generation, etc.
Every year at MicroConf I get surprised-not-surprised by the number of people I meet who are running "Does one thing reasonably well, ranks well for it, pulls down a full-time dev salary" out of a fun side project which obviates a frequent 1~5 engineer-day sprint horizontally.
"Who is the prototypical client here?"
A consulting shop delivering a $X00k engagement for an internal system, a SaaS company doing something custom for a large client or internally facing or deeply non-core to their business, etc.
(I feel like many of these businesses are good answers to the "how would you monetize OSS to make it sustainable?" fashion, since they often wrap a core OSS offering in the assorted infrastructure which makes it easily consumable.)
"But don't the customers get subscription fatigue?"
I think subscription fatigue is far more reported by people who are embarrassed to charge money for software than it is experienced by for-profit businesses, who don't seem to have gotten pay-biweekly-for-services fatigue.
On a serious note, it's interesting to observe that you can build a decent business charging $20 - $50 per month for something that any good developer can set up. This is one of those micro-saas sweet spots between "easy for me to build" and "tedious for others to build"
— Jon Yongfook (@yongfook) September 5, 2019
Every year at MicroConf I get surprised-not-surprised by the number of people I meet who are running "Does one thing reasonably well, ranks well for it, pulls down a full-time dev salary" out of a fun side project which obviates a frequent 1~5 engineer-day sprint horizontally.
"Who is the prototypical client here?"
A consulting shop delivering a $X00k engagement for an internal system, a SaaS company doing something custom for a large client or internally facing or deeply non-core to their business, etc.
(I feel like many of these businesses are good answers to the "how would you monetize OSS to make it sustainable?" fashion, since they often wrap a core OSS offering in the assorted infrastructure which makes it easily consumable.)
"But don't the customers get subscription fatigue?"
I think subscription fatigue is far more reported by people who are embarrassed to charge money for software than it is experienced by for-profit businesses, who don't seem to have gotten pay-biweekly-for-services fatigue.
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
BREAKING: @CommonsCMS @DamianCollins just released previously sealed #Six4Three @Facebook documents:
Some random interesting tidbits:
1) Zuck approves shutting down platform API access for Twitter's when Vine is released #competition
2) Facebook engineered ways to access user's call history w/o alerting users:
Team considered access to call history considered 'high PR risk' but 'growth team will charge ahead'. @Facebook created upgrade path to access data w/o subjecting users to Android permissions dialogue.
3) The above also confirms @kashhill and other's suspicion that call history was used to improve PYMK (People You May Know) suggestions and newsfeed rankings.
4) Docs also shed more light into @dseetharaman's story on @Facebook monitoring users' @Onavo VPN activity to determine what competitors to mimic or acquire in 2013.
https://t.co/PwiRIL3v9x
Some random interesting tidbits:
1) Zuck approves shutting down platform API access for Twitter's when Vine is released #competition

2) Facebook engineered ways to access user's call history w/o alerting users:
Team considered access to call history considered 'high PR risk' but 'growth team will charge ahead'. @Facebook created upgrade path to access data w/o subjecting users to Android permissions dialogue.

3) The above also confirms @kashhill and other's suspicion that call history was used to improve PYMK (People You May Know) suggestions and newsfeed rankings.
4) Docs also shed more light into @dseetharaman's story on @Facebook monitoring users' @Onavo VPN activity to determine what competitors to mimic or acquire in 2013.
https://t.co/PwiRIL3v9x

A brief analysis and comparison of the CSS for Twitter's PWA vs Twitter's legacy desktop website. The difference is dramatic and I'll touch on some reasons why.
Legacy site *downloads* ~630 KB CSS per theme and writing direction.
6,769 rules
9,252 selectors
16.7k declarations
3,370 unique declarations
44 media queries
36 unique colors
50 unique background colors
46 unique font sizes
39 unique z-indices
https://t.co/qyl4Bt1i5x
PWA *incrementally generates* ~30 KB CSS that handles all themes and writing directions.
735 rules
740 selectors
757 declarations
730 unique declarations
0 media queries
11 unique colors
32 unique background colors
15 unique font sizes
7 unique z-indices
https://t.co/w7oNG5KUkJ
The legacy site's CSS is what happens when hundreds of people directly write CSS over many years. Specificity wars, redundancy, a house of cards that can't be fixed. The result is extremely inefficient and error-prone styling that punishes users and developers.
The PWA's CSS is generated on-demand by a JS framework that manages styles and outputs "atomic CSS". The framework can enforce strict constraints and perform optimisations, which is why the CSS is so much smaller and safer. Style conflicts and unbounded CSS growth are avoided.
Legacy site *downloads* ~630 KB CSS per theme and writing direction.
6,769 rules
9,252 selectors
16.7k declarations
3,370 unique declarations
44 media queries
36 unique colors
50 unique background colors
46 unique font sizes
39 unique z-indices
https://t.co/qyl4Bt1i5x

PWA *incrementally generates* ~30 KB CSS that handles all themes and writing directions.
735 rules
740 selectors
757 declarations
730 unique declarations
0 media queries
11 unique colors
32 unique background colors
15 unique font sizes
7 unique z-indices
https://t.co/w7oNG5KUkJ

The legacy site's CSS is what happens when hundreds of people directly write CSS over many years. Specificity wars, redundancy, a house of cards that can't be fixed. The result is extremely inefficient and error-prone styling that punishes users and developers.
The PWA's CSS is generated on-demand by a JS framework that manages styles and outputs "atomic CSS". The framework can enforce strict constraints and perform optimisations, which is why the CSS is so much smaller and safer. Style conflicts and unbounded CSS growth are avoided.
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
You May Also Like
✨📱 iOS 12.1 📱✨
🗓 Release date: October 30, 2018
📝 New Emojis: 158
https://t.co/bx8XjhiCiB
New in iOS 12.1: 🥰 Smiling Face With 3 Hearts https://t.co/6eajdvueip
New in iOS 12.1: 🥵 Hot Face https://t.co/jhTv1elltB
New in iOS 12.1: 🥶 Cold Face https://t.co/EIjyl6yZrF
New in iOS 12.1: 🥳 Partying Face https://t.co/p8FDNEQ3LJ
🗓 Release date: October 30, 2018
📝 New Emojis: 158
https://t.co/bx8XjhiCiB

New in iOS 12.1: 🥰 Smiling Face With 3 Hearts https://t.co/6eajdvueip

New in iOS 12.1: 🥵 Hot Face https://t.co/jhTv1elltB

New in iOS 12.1: 🥶 Cold Face https://t.co/EIjyl6yZrF

New in iOS 12.1: 🥳 Partying Face https://t.co/p8FDNEQ3LJ
