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There were no companies, as that would require private ownership of factories and other means of production. As the article says these were built in state owned factories. There were no other kinds.

There were no other factories and even small business was mostly nonexistent until the late 80s and in some cases punishable under the law as “speculation”.


I wonder if there’s any information on how the Australian dialect (if there was any) was accepted when it was still a penal colony?

Cockney would also be a great comparison as both it and AAVE can be seen as class signifiers while the Australian dialect currently isn’t.


The government very clearly provides for support for the equities in many ways (which I’m sure you’re aware of) How do the following not count as benefits to the equities in your vault?:

1. Maintaining a navy that reduces piracy enough to have global JIT delivery networks that reduce costs for corps

2. Protects corp interests abroad allowing a larger market and higher profits

3. Enforces regulations that attract a larger than otherwise likely share of people to put their money in the stock market, increasing the value of your equities.


4. Pumps millions/billions/trillions into failed financial corporations to prevent the financial system itself from collapsing.


US federal spending 2020: $7 trillion

The entire budget of #1 is about 3% of that, and #2 and #3 around 1%.

What a terrible deal.


I love the fact that a large portion of medicine is basically debugging and reverse engineering as a profession.

It seems to be a good time in the debugging of these complex pathways as there's another, related avenue of signal manipulation research that may lead to scar-less tissue healing (https://science.sciencemag.org/content/372/6540/eaba2374)


I do molecular biology full time, but I truly believe that I learnt the skills I need to do this in my first project where I took over a several thousand line perl web app. The developer had been extremely clever with his use of tricks, which made debugging and reverse engineering a massive challenge. I often needed to internalise the state of the whole app to reason about why things were going wrong.

Those skills have served me well in my current work in debugging biological systems, where the organisms responsible for all these “clever” hacks are long gone, and all we’re left with is a system that often doesn’t boot back up after a crash.


How would a software dev get into doing molecular biology?


Probably a masters program / PhD if you’ve got a compelling argument as to why you would be a good candidate.


I'd add that you need to do the homework first: If you can adequately formulate and articulate the problem that the lab is solving, and that one cool trick you have that can solve it, that's already a great signal that you would work well (Chances are your trick won't work, but that's only because biology is merciless).


A large portion of most professions is basically debugging and reverse engineering :) (including non-technical ones, like psychology or law)


And that tells us that it's a general skill worth teaching in schools. Regardless of the profession a student ends up in, this skill is likely to be useful.


The whole parable of Chesterton's fence hinges on that: reverse-engineer the weird thing to understand it, before attempting to alter it.


It's true for law, but for psychology I found that most practicioners use most of their time to sell the reason of their whole existence, so it seems closer to sales.


Live debugging


At least a few banks have been running like this since 5+ years ago, and at least one collaborated with AWS which led to this: https://aws.amazon.com/blogs/aws/amazon-workspaces-desktop-c....


AWS Workspaces got big during the pandemic. I know atleast one mega consultancy corp which rolled out like 20k workspace instances when their employees moved to WFH.


"En Engine, Not a Camera", a great book and posits that this effect drives a large portion of modern (post-1970s) financial markets.

https://www.goodreads.com/book/show/134474.An_Engine_Not_a_C...


At first I thought it was yet another experiment that generates nonsense papers to show which journals will accept just about anything, but after running a quick search on some of the authors (https://pubpeer.com/search?q=Massimo+Fioranelli) seems like some sort of academic SEO/backlink/reference/paper mill operation going on?

Would be fascinating to map the cross referencing and co-author graph here.

Some of the comments on pubpeer are hilarious.


That part is not as weird as it seems. It's not unheard of for VCs who are looking to maintain a relationship with a startup to provide an introduction even before investing as a gesture of good faith. Also, to clarify, the call was just a regular VC chat, the customer intro came later.

Granted that's usually the case when there's a competitive fundraising round that's coming up but it still not completely crazy.


Also, if the person in their network they're offering the introduction to is actually a prospective customer, it's a useful way for them to validate a startup's value proposition to the end user.


I wonder how detailed the questions have to be to be useful.


I usually bring up this research when talking about employee onboarding but there was a study done in 2015 (with Mozilla) that showed a “good first issue” approach didn’t actually lead to the intended outcome - having more folks successfully integrate into and continue to contribute to a project over a long term. To my knowledge there hasn’t been a ton of follow up or replication but still something to consider.

https://cs.uwaterloo.ca/~rtholmes/papers/msr_2015_labuschagn...


Ahh this brings back memories. One of my first projects at a large investment bank was working on a tax engine where the first step was transaction classification using a decision table with dozens of columns and hundreds of rows.

The best part? It was loaded into a running service by parsing a complex Excel spreadsheet which lead to so much fun with debugging.


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