Douglas McGregor, the creator of these theories, had an interesting biography.
> 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.
> To Doug's point the junk tokens are likely at book value on their balance sheet
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.
Strong parallels between your definition with “isolation” and that offered by freemint in terms of decomposition into elements.
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.
Super interesting and over my head but to oversimplif: automation and old financial “tools” (mortgages, index funds) good but (excessively?) “innovative financial instruments” is a bridge too far.
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 cited three examples of financial engineering.
Just to be clear you oppose mortgages, index funds, and ATM machines?
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 would programmable money be useful for anything beyond financial engineering. It’s literally engineering + finance.
Why is financial engineering inherently universally without qualification bad?
I have a mortgage, an index fund, and an ATM card. I :heart: financial engineering.
As clarification, you are objecting to the phrase “process voice to [serve] ads” in the title which was provided by the submitter not the paper authors?
What part of the paper gives you the impression they imply voice assistants are listening to everything? I don’t get that.
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].
There are dozens of examples in the wild of python code getting reviewed, corrected, and enhanced. I’m not a spreadsheet expert. Does that even happen for spreadsheets?
Does the current evidence noted by fallat — the massive amount of extremely high impact open source projects that don't have malware embedded in them — suggest the error rate is much much lower that 1%?
> 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.