106 karma · joined November 2, 2022
Convenient for the author to discover the link to Le Roux. Then talk about it on podcasts while promoting his book, and have articles written about him.
All Shkreli does is promote himself to get eyes on whatever he's doing next. You can't ignore the incentives. It's difficult to prove who Satoshi is or is not. Craig Wright made a succesful career out of it.
Also, Shkreli has been critical of Bitcoin. Picking Le Roux, a criminal, as Satoshi helps to paint Bitcoin in a bad light.
He answered this question at the beginning of this interview:
https://www.youtube.com/watch?v=zGNiYt1GN_4
"from my perspective, it's not about looking to go home.... this is were I've been running FTX from.... there are still things that need to get done."
from: https://news.bitcoin.com/document-claims-alameda-ceo-carolin...
"...Alameda Research CEO Caroline Ellison’s personal account was in the hole by $1.31 billion in May 2022."
They may not do anything about it, though, if @substack is being used. Logging into Twitter is enough to keep the account active. I don't know if that is changing with the new owner. I know that Musk said they will be making names for inactive accounts available soon.
"Negative views on crypto come at the same time as the public has soured on stocks. Just 26% say now is a good time to invest in equities, down two points from last quarter's survey and the most pessimistic level registered in the 15-year history of the survey. 51% say it's a bad time to invest, the third highest in the survey's history, bested only by the downbeat results of the prior two surveys."
It's an example of Base-Rate neglect.
https://en.wikipedia.org/wiki/Base_rate_fallacy
Often done in media due to a bias they are attempting to confirm. Almost all financial assets are down, and not appealing to retail investors. Negative news gets clicks.
Who's angry? Who's not reading what disclosures? What are they angry about?
According to the study, you would likely have not stayed:
"By linking young adults to their parents, we can see that this migration is primarily driven by individuals who grew up in affluent families."
A low-income family is less likely to send their kid to school to be a doctor or hotelier.
The article doesn't support your bias. It's mostly those from affluent families that move farther from home, not people looking for work.
"By linking young adults to their parents, we can see that this migration is primarily driven by individuals who grew up in affluent families."
"Childhood locations are measured at age 16 and locations in young adulthood are measured at age 26."
"By linking young adults to their parents, we can see that this migration is primarily driven by individuals who grew up in affluent families."
It's not all young adults, just a specific demographic we would expect to move away farther from home.
Many people in this thread are using this to confirm their bias that it says something about the young adults. The title is doing more harm than good.
> Indian employees got no severance
https://www.cnbctv18.com/business/companies/elon-musk-justif...
"Here is an excerpt of letters shared with employees in India and reviewed by CNBC-TV18:
“Today is your last working day at the company, however, you will remain employed by Twitter and will receive compensation and benefits through your separation date of January 4, 2023.""
Where did I say I trust Elon or any other CEO?
Still waiting on someone to explain what is "inhumane" about getting laid off with a severance package. Remember we are talking about employees working at a big tech firm. They'll find work elsewhere, and have had pay above the national average. They likely have plenty of savings.
I don't give a shit about Elon or Twitter. My comment was just holding someone accountable for the narrative they were creating. Typical for HN to have someone jump in with an irrelevant reply.
From https://twitter.com/elonmusk/status/1588671155766194176
"Everyone exited was offered 3 months of severance, which is 50% more than legally required."
Seems reasonably generous. Certainly not "inhumane."
Do you have any examples? Did they identify as Musk supporters? One or two tweets with a sufficiently high amount of replies and 'likes' should be enough. Otherwise, I'd wonder if you are painting a narrative.
hmm... yeah, this would be an interesting biomarker for those in their twenties. It could be valuable later in life.
I was surprised to learn women are born with 1-2 million eggs. By 20 years old, they only have 200k-300k left. They lose more every year.
Your examples are not comparable to abstaining from sex.
It would be like saying "don't eat any food" and "don't use locomotion to move from point A to point B."
> I just disagree that eating, sleeping, or sex are "core" desires.
I may not be understanding this. Eating and sleeping are obviously requirements for anyone's life, and sex is required for the continuation of all life.
After learning about the side effects of birth control, it's concerning that it's the default recommendation for young women, and that they're on it all the time. I understand why. I don't know what a reasonable alternative would be. Abstinence isn't a reasonable alternative.
Do you believe you were already as healthy as can be? Those seem like reasonable suggestions. If you were already very fit, the doctor's suggestion might have been discouraging. If you weren't, sounds like there's a lot that can be done.
A sedentary lifestyle with poor nutrition can have a big impact on your health.
EDIT: unfit = zero resistance training, zero cardio, and more "food products" than "real" food.
Wow... I would have thought you were referring to people that were older.
I wonder what the common denominator is there, or if your experience is an outlier. It's obviously noteworthy enough to share. Maybe people that conceive without issue aren't commenting on it as much?
Here's the code for the FTT Deployer contract:
https://etherscan.io/address/0x50d1c9771902476076ecfc8b2a83a...
I'm not familiar enough with the Ethereum's Solidity programming language to give you an explanation.
It looks like it's an OpenZeppelin template. I've seen these re-used elsewhere. You can look through their docs to understand it better.
I could say the same thing about TikTok, Twitch, Instagram, Whatsapp, Youtube, WeChat, etc.
I'm not bullish on the metaverse. I live simply, with less tech than the average person. I don't expect to participate. With that said, I don't doubt it will be more successful than what graybeards expect. More than what Meta is dumping into it? No idea.
There will be things in the future you will not want to participate in. That's ok.
oh... I see what's happening here. Good luck on your crusade.
I didn't say he was hired for his trading ability. I only suggested coding isn't a perquisite.
> random person from MIT
I didn't suggest that was the qualifier for them being hired. They do hire from universities like MIT, though, and I'm sure there are many alumni that stay connected to faculty for the purpose of finding candidates.
Only 23 of 123 open jobs for students/new grads on their site are for software engineers.
https://www.janestreet.com/join-jane-street/open-roles/?type...
They say on the site: "We look for smart people with curious minds from any background."
FTT $5.9B
SRM $5.4B
SOL $2.2B
MAPS $865M
Found here:
https://images.squarespace-cdn.com/content/v1/596a07c029687f...
>May I point you to a chart showing the price of Solana (SBF's preferred token)? Down 80% in four months is a pretty sudden drop in value.
FTT, SRM, and MAPS are the garbage tokens they claimed were worth more than they actually were. They each had major drawdowns more than 4 months ago. SOL even had a 60% drawdown by March. None of this was sudden. My point is they knew they were in trouble long before any of the solvency/liquidity issues.
It's thought that their trouble started in May during the Luna/Terra collapse. Alameda's loans were pulled when 3AC blew up. That's when they minted more FTT. SRM also had similar supply increases out of nowhere. They weren't investments as you said. They were tokens they could mint at any time to collateralize new loans.
Maybe they thought the same could be done with SOL? It is known to be highly centralized. There are also known issues with the Solana ecosystem where TVL for layer 2 tokens were double counted, making it seem more valuable.
That doesn't seem odd. They need people good at math and/or creative problem solvers. The platform they execute on doesn't need to be rebuilt for each new strategy.
> I think everyone assumed Alameda were doing something clever.
Everyone knew the strategy they ran was to list a perpeptual futures contract for a Solana shitcoin on FTX, and short it into the ground. Their initial capital was an arb between Japan and US exchanges. That arb later disappeared. There are some rumors that the initial profits were wasted long ago, and they got new capital from investors hearing about the Japan/US arb.
I think it's naive to think this is the case. It's reasonable to assume he knows those tokens couldn't have been worth what he claims they're worth, before or after the FTX collapse. The tokens didn't suddenly drop in value. He has experience as a market maker and remaining delta-neutral. We must assume all of what he claims is deception and/or preparation for the court battle.
Remember that there was a pamphlet for Alameda investors that promised something like "15% return with no risk." FTX also had an "earn" product that was paid out from a marketing budget. These were deliberate actions. They knew what they were doing.
I ran it on Brian Armstrong's temp account from here, and it said it didn't write 10,000 characters:
https://news.ycombinator.com/item?id=3754664
EDIT: Or maybe it's something else because Brian only wrote less than 6k characters. But then why can my account be looked up?
Also, I would guess quoted replies are included, which muddies the analysis. Seems to be a very naive implementation. Much more can be done, but this was probably just a quick project.
Does this ignore stop words? Or do all words have the same weighting? I wonder if only focusing on stop words would give a more accurate measure. Maybe we are more comfortable with certain stop words more than others?
https://en.wikipedia.org/wiki/Stop_words
"Stop words are the words in a stop list (or stoplist or negative dictionary) which are filtered out (i.e. stopped) before or after processing of natural language data (text) because they are insignificant."