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> He chose instead to pursue a psychology degree at what is now Wayne State University in Detroit. After two years, he married, dropped out of college, and worked as a gas station attendant in Buffalo, New York. By 1930 he had risen to the rank of regional gas station manager.
> McGregor decided to resume his studies while also working part-time. He completed a B.A. in 1932 from Wayne State University.
> Soon after graduation, he entered Harvard University where he studied for three years, earning an M.A. and Ph.D. in psychology.
The linked article in turn links to coin desk which writes
>> Also, token values may be low. In a footnote, Alameda says “locked tokens conservatively treated at 50% of fair value marked to FTX/USD order book.”
That suggests to me the unlocked coins are on the balance sheet at market value and the locked at a 50% haircut.
The nuance makes sense on its face. Although I don’t trust my own judgement of what impacts the real economy and what is just shuffling of decomposed elements of risk and reward.
Still hard for people not deep in it — me — to see clearly that crypto doesn’t contain the seeds of a better index fund or a cheaper mortgage.
I do not feel as confident as you seem that the group of things called “crypto” will not be useful for financial services.
I agree all of these or at least mortgages and index funds probably increase inequality especially given uneven access. As far as tangible goods — home ownership, retirement savings, and less time spent waiting at the bank.
Why is financial engineering inherently universally without qualification bad? I have a mortgage, an index fund, and an ATM card. I :heart: financial engineering.
It seems to me the economy is delivering all it ever did and more.
https://fred.stlouisfed.org/series/PCES
> Then in December, the megacaps we're squeezed further until the S&P 500 had a negative return relative to price!
What does this mean? What is negative return relative to price?
How does python score on these key metrics?
The discussion in the paper is nuanced on that point and does not make that claim as far as I read it. Section 2.2 (page 2):
> The content of users’ speech can reveal sensitive information (e.g., private conversations) and the voice signals can be processed to infer potentially sensitive information about the user (e.g., age, gender, health [82]). Amazon aims to limit some of these privacy issues through its platform design choices [4]. Specifically, to avoid snooping on sensitive conversations, *voice input is only recorded when a user utters the wake word*, e.g., Alexa. Further, only processed transcriptions of voice input (not the audio data) is shared with third party skills, instead of the raw audio [32]. However, despite these design choices, prior research has also shown that smart speakers often misactivate and unintentionally record con- versations [59]. In fact, there have been several real-world instances where smart speakers recorded user conversations, without users ever uttering the wake word [63].
1. If it goes from experimental to ship, you aren’t going to go back and make it shipshape.
2. Sanding time is meditation on the product. As I rework, I’m revisiting the code and design at multiple levels.
3. Before 10am is the old programmers 2am. It’s quiet. The hustle and interruptions of the day haven’t begun.
It would be nice to have a scale to zero ability.
Some wags have pointed out the price has been constant for many years https://web.archive.org/web/20080512223437/http://www.shadow...
The billion prices project independently collects prices and matches CPI well https://www.businessinsider.com/million-prices-project-vs-th...
Note that the inflation stats in Argentina *were* manipulated and official numbers differed from billion prices. https://en.wikipedia.org/wiki/MIT_Billion_Prices_project
[1] https://www.equilar.com/reports/83-equilar-associated-press-...
What did the doctors who you did see say when you told them about your symptoms? It strikes me as odd that they did not recommend a mental health specialist.
> I wouldn't want to be deploying a multi-gigabyte binary every time i make a change to the dataset...
To runtime startup:
> lambda warmup time
And cost:
> RAM consumption is proportional to binary size
I check-in a one-line change and CI/CD kicks off a docker build and push. A multi gigabyte binary is pushed to AWS ECR every time. I hardly notice. One benefit is the consistency. Small change. Pushed. Large change. Pushed. Dataset. Pushed. New OS, new code, new lib, new data all the same.
Maybe it doesn’t scale to frequent updates? If you are streaming me data, I can’t update my image every second..
If they don’t use pickle, they shouldn’t release in pickle format. They should release in a format such that you can take the source they release and use the model weights as required “installation information” and run the software. Probably the native format for the app.
We don’t know if they do or they don’t. That would be a matter to be decided in the court. Likewise you might argue the weights are not installation information in the GPL sense. Stock fish asserts they don’t release weights. Chess base hasn’t commented. I can’t find them.
Simply stating “the software runs! The weights must already be distributed” isn’t correct in the sense that the GPL demands. By analogy, “the software runs the source must already be distributed” isn’t correct in the same way.
I looked I don’t even see where they are releasing the code. Is it this? https://github.com/DanielUranga/Stockfish
There was a comment addressing that yesterday https://news.ycombinator.com/item?id=27901876
The form matters.