@gerowen i'd say everything is pretty much quid pro quo - work, church, family, relationships - there is no free ride out there (mostly) - even experience and ip come with a price #altruism #skewered values #let's make a deal #structured welfare
@gerowen i'd say everything is pretty much quid pro quo - work, church, family, relationships - there is no free ride out there (mostly) - even experience and ip come with a price #altruism #skewered values #let's make a deal #structured welfare
I'm trying out @structured for pacing - I think its "energy monitor" feature could be really useful for #MEcfs pacing. I've set our daily limit to 5 instead of 20, and I've got stuff like "eat" set to subtract energy.
My one complaint so far is that it automatically chooses *for* you how much energy it thinks something takes based on a 3-choice system plus the length of time of the task. I'd like more customization options.
This is what our tomorrow view looks like:
It's difficult to know what to recommend; you haven't said why you want this data in an SQL database, or what the shape of the raw data is.
Is the data highly #structured, with defined #relationships and #keys? Do you need to do structured #queries using those relationships? If so, then yes, an SQL #database might be a good way to go - and it wouldn't take a lot of Python to do so.
Otherwise, it would help if you explained what the #data are, and what you're trying to do with them.
Jevko for Large Language Models
https://xtao.org/blog/jevko4llm.html
I’ve been learning about LLMs a bit. After watching a recent video about LLM tokenization by Andrej Karpathy a thought appeared in my mind.
Namely: I think it might be promising to investigate Jevko-based formats as an efficient (cheap in terms of tokens) alternative to JSON/YAML/etc. for interacting with LLMs in a structured way...
How might the bond company be linked to Russia? To Trump?
In a pattern reminiscent of the Trump family, there is a father-son thing happening. However, neither Greenberg supported Trump directly in 2016 or 2020.
Evan Greenberg (Evan), 68/69, is the president and CEO of Chubb Ltd (incorporated in Zürich, Switzerland).
Federal Insurance Company (FIC), the company behind Trump’s surety bond, is a Chubb subsidiary.
Evan orchestrated the ACE Insurance absorption of Chubb Insurance in 2016.
Details below.
Evan donated to the Hillary Clinton campaign in the 2016 election cycle, not Trump.
However, in 2020, he donated almost exclusively to Republicans, but not Trump.
Trump appointed Evan to the Advisory Committee for Trade Policy and Negotiations in late 2018.
Although Chubb was one of the first major insurance conglomerates to “adopt limited” restrictions on insuring fossil fuel underwriting, it is one of the largest insurers of oil and gas projects.
In 2020, Reuters reported that Chubb was insuring tar sands projects in Canada. In 2021, it withdrew from the Russian Nord Stream 2 pipeline due to U.S. government sanctions.
Evan’s father is #Maurice “#Hank” #Greenberg (Maurice), 98, the former “combative” chairman and CEO of American International Group ( #AIG ), which was once a subsidiary of Starr Insurance Companies.
Starr was founded in 1919 in Shanghai, China, by an American. Maurice has been chairman and chief executive officer of Starr since 1968. (Envision nested Russian dolls.)
Maurice is notorious for extensive #fraud that happened at AIG under his direction.
He paid $24,000,000 to the SEC (2009) and the state of New York (2017) for fraud that took place before 2005, the year he turned 80 and was kicked out of the CEO penthouse.
Maurice has direct ties to Russian president Vladamir #Putin.
In 2003, Vladimir Putin, the president of Russia, welcomed Maurice to Moscow. The purpose of the visit? To develop mortgage loans in Russia.
In 2007, Maurice created a subsidiary, Starr Investments Russia, “to invest hundreds of millions in Russian real estate,” specifically “prime office space, residential housing and hotels.”
Putin was the president of Russia.
In the 2016 election cycle, Maurice donated $20,000 to Republican political action committees. According to the Washington Post, he gave more than $15,000,000 to #dark #money SuperPACs.
He supported Jeb Bush. In the 2020 cycle, he supported no presidential candidate directly.
There is no direct link between the surety bond company and Putin. There are links between projects, players, corporations.
If FIC asked for 2%, Trump had to pony up only (only!) $18,400,000.
Rather than his winning an appeal, I put money on Carroll winning another defamation suit.
Who will pay his bills?
That’s the national and domestic #security #issue.
(3/3)
About That prejudicial bond agreement
Trump’s lawyers and Chubb’s risk-averse managers initially wrote the $92,000,000 bond so that FIC would have 60 (sixty) days to pay up should Trump lose his appeal.
As Jose Pagliery at the Daily Beast points out, that 60-day period gives someone approximately $3 million, assuming the $92 million “were invested in the S&P 500 stock market index during a similar time period at the start of the year.”
Tom Gober, a forensic accountant and certified fraud examiner, told Pagliery:
Knowing all of the public record being what it is on Trump’s false statements and times he hasn’t paid his bills, all of that… I’m sure the surety company would like as much time as they can justify. Plus … [t]hey earn interest on that money before they have to pay it out.
Carroll has a damn good attorney, Roberta Kaplan. Kaplan saw the odd language in the bond.
On Monday, she alerted U.S. District Judge Lewis Kaplan… And in a sign of just how interested he is, the judge immediately responded in a handwritten note scribbled over her letter to the court.
“The parties shall submit revised documentation promptly,” the judge wrote back.
Both 30-day provisions now read 15 days.
(2/3)
#surety #bond #defamation #Carroll #Chubb #structured #prejudicial #Russia
Trump’s surety bond yields ongoing intrigue, remains a national security issue
News organizations, as well as TMV, reported last week that Donald Trump had posted a $92,000,000 #surety #bond in order to appeal the judgment that led from his assualt and #defamation of E. Jean #Carroll.
The superficial report was this:
Federal Insurance Company (FIC), a division of the insurance conglomerate #Chubb Ltd., wrote the bond, gambled that Trump is good for the money.
There were some things missing in that just-get-it-out reporting.
Unfortunately, the questions seem to live only in alternative media, not the Wall Street Journal or New York Times.
One of those things: an oddly #structured bond agreement, one #prejudicial to Carroll.
Another: #Russia. (Don’t act surprised.)
#Alabama #justice's ties to #farright #Christian #movement raise #concern.
"The #SevenMountains is a #structured #outline for #Christian #supremacy," said #MatthewTaylor, senior scholar at the #Institute for #Islamic, #Christian and #Jewish #Studies in #Baltimore.
#Women #Transgender #LGBTQ #LGBTQIA #Conservatives #Extremism #Fascism #Religion #RepublicanParty #Hate #Bigotry #Violence #Genocide #Discrimination #Homophobia #Transphobia #ThePartyOfHate #EmptyThePews
https://www.npr.org/2024/02/27/1233968467/alabama-supreme-court-ivf-treatment-christian-nationalist
Someday @structured will fix it so my computer's Structured updates when my calendars change without my having to open Structured on my phone (to load the changes, that then show up on my computer).
Yes, I've contacted support about this. No, they didn't indicate this was a puzzle they were interested in solving.
I do like #Structured quite a bit despite the one annoyance!
@structured You can’t imagine how much I appreciate this!
Thank you very much!
Is there a way to install beta (already signed inside Play) and help you with testing and development? Also, is there a roadmap? Device and calendar syncing is needed to be useful.
(I tested #Structured on my Mac and iPad many times over the years, bought Pro, but my smallest device is Android by choice. I am amazed it will finally get fully useful.)
@structured I would love it because I wanna be able to add an event in #Structured and have it show up on my calendar for my wife to see
Welcome to the second part of my #syslog_ng #tutorial series. In this part, we cover some of the basic #concepts behind syslog-ng:
- What is syslog-ng?
- Why #central #logging?
- The four major roles of syslog-ng
- Free-form log messages
- #Structured logging
https://www.syslog-ng.com/community/b/blog/posts/syslog-ng-101-part-2-basic-concepts
We deal with #constraints over #structured outputs.
E.g., when predicting edges in a grid for #routing, they need to form #valid paths.
When predicting user #preferences, it shall output valid #rankings and in multi-label classification should respect the labels #hierarchy!
2/
Time for #introduction, bit empty!
I’m at staff research scientist at #DeepMind London, working on Unsupervised RL (or whatever it’s called these days)
More precisely, use #structured object-centric representations for RL, model-based planning, HRL, exploration, hypothesis testing and all of that.
And because RL is hard, I’m also playing with diffusion models on the side
Apart from that, you’ll find me at random concerts/festival come to #Portals to discover cool #heavy bands in London!
The truth is...
It's impossible to write a program in Pascal that will loop forever.
#Earth #forever #loop #universe
#pascal #computer #structured #programming #definitions
#context #perpetual #motion
#big #bang
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TruthBeTold = A statement that is logically or literally true (or partly true), but seems to imply something that isn't true or is just plain weird. (for rhetoric, logic or propaganda studies... or just for fun)
pic credit: I.hidekazu
structured-text-tools: A list of command line tools for manipulating #structured text #data | #CLI #JSON #XML #yaml https://github.com/dbohdan/structured-text-tools