#USpolitics #WallStreet #Context
"I’m not making up facts and figures, I’m using my expertise to digest information + provide context!" [ ± 1-3 min]
by YourRichBFF [Apr 8
https://www.youtube.com/shorts/rgHviRxvjGI
#USbeware #FascistsAreHere
#TimeToResist #FightOligarchy
#CapitalismIsFailingYou
How to speak in ways AI bots won’t understand.
今朝毎朝ボット
https://youtube.com/watch?v=F4KQ8wBt1Qg
#ai #llm #machinelearning #embedding #context
#Context is everything. TLAs change and evolve.
#ATM was a robo-#bank. Now, it's this little slice of now.
#TMI used to be the setting for a #nuclear #accident. Now, it's more than you want to know.
#MCP was what some of us might call a masculine-presenting anti-#feminist. Now, it's how various flavors of #AI can tell each other #stories.
Sora News 24: Smash Bros. creator learns he can’t tweet carelessly, fans learn they can’t trust AI translations. “Anxious to know what the Japanese text of [Masahiro] Sakurai’s tweet, ほうほう, means, many took to using automatic online translation tools, which in many cases gave them a translation that raised as many questions as it answered when they spat back ‘method’ as the […]
“They Can’t Beat All of Us”
A report from the Florida Abolitionist Gathering, where a determined network of anarchists and rebels shared strategies for radical organizing in the belly of the beast.
I don't know who invented water, but I know it wasn't a fish.
-- Marshall McLuhan
#Wisdom #Quotes #MarshallMcLuhan #Context
#Photography #Panorama #Panopainting #Protest #MarchForOurLives #Florida
On algorithmic complacency... and context collapse.
"I am seeing mounting evidence that an increasing number of people are so used to algorithmically-generated feeds that they no longer care to have a self-directed experience that they are in control of."
"... it feels like large swaths of people have forgotten to exercise their own agency."
And this here is not only an amazing find of a #hoard of Celtic and Roman coins near Utrecht in the Netherlands, but a really great example illustrating how much more of the whole story we can tell thanks to find #context:
https://www.theguardian.com/uk-news/2025/jan/27/hoard-of-coins-dating-from-roman-conquest-of-britain-found-near-utrecht via The Guardian
#KI, #News, #LLM, #Context Window
Sprachmodell mit riesigem Context Window veröffentlicht: https://www.linux-magazin.de/news/minimax-releast-llm-mit-riesigem-context-window/
"I believe that people can change their minds. We need to create a more #forgiving #society in which it’s acceptable for people to alter their opinions, because judging them is really antithetical to growth. I’m committed to #education and sharing #ideas; if you grant people a proper understanding of the #conditions and #context in which they live, they are more likely to understand things that would otherwise be blurred or invisible."
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Hans writes:
The most significant "change" is that columnsets are in the process of being replaced which involves a "change in approach". As a consequence, when you use that mechanism – we're not sure how many actually do – and want the old code to kick in you need to load the "oldcolumnsets" module.
@rfe2025.bsky.social Today with the memorial service for the 2004 tsunami victims in the dome church. HM the king and queen, archbishop, speaker of the parliament and the prime minister among others there. #context #today
I think it's accurate to say that 'must' is too constraining, and that we usually have a one side or the other view of measurements (/interactions).
So either we'll find time dilation or length contraction (or even a blend of both) depending on the logistics/topology of the systems involved, and our choice (which can be from just 1 alternative) of framing the perspective being used. #context
Edit: The way you state part two is fine in most cases. I would say it inside out: the laws are consistent because the measured SOL, from any observer & frame, is consistent.
Being able to write laws is the result of consistent behavior/reactions to consistent/measured change (holding other things constant, as a reductive basis).
2024 has been my best year in terms of number of #citations to my #research articles, with over 1000 citations this year alone.
BUT, more than an increased appreciation of my work, I think this signals a shift in the way research is published. I'm looking at you #arxiv. 
Not complaining. More #open #publication and #openscience is never bad. I'm just explaining this as #young #researchers should understand #context is always key when evaluating a researchers #CV and that citation count is always a partial perspective.
Chris Corrigan @chriscorrigan on #participation and #DecisionMaking:
»The exercise of engagement is often window dressing. It can result in hundreds and hundreds of text answers on qualitative surveys that have no rhyme nor reason to them. Comments like “fix the potholes on Elm Street” don’t mean anything without #context, even if a bunch of people say them. […]
#Election success now is about saying you will do a thing, then doing something and successfully externalizing all the bits that didn’t work so you can take credit for the small thing you did. If people buy what you are selling, you will get re-elected.[…]
But there are ways out of this state of affairs.«
https://www.chriscorrigan.com/parkinglot/community-is-participatory/
Content moderation is, inherently, a subjective practice.
Despite some people’s desire to have content moderation be more scientific and objective, that’s impossible.
By definition, content moderation is always going to rely on judgment calls,
and many of the judgment calls will end up in gray areas where lots of people’s opinions may differ greatly.
Indeed, one of the problems of content moderation that we’ve highlighted over the years is that to make good decisions you often need a tremendous amount of #context,
and there’s simply no way to adequately provide that at scale in a manner that actually works.
That is, when doing content moderation at scale, you need to set rules,
but rules leave little to no room for understanding context and applying it appropriately.
And thus, you get lots of crazy edge cases that end up looking bad.
We’ve seen this directly.
Last year, when we turned an entire conference of “content moderation” specialists into content moderators for an hour,
we found that there were exactly zero cases where we could get all attendees to agree on what should be done in any of the eight cases we presented.
Further, people truly underestimate the impact that “#scale” has on this equation.
Getting 99.9% of content moderation decisions at an “acceptable” level probably works fine for situations when you’re dealing with 1,000 moderation decisions per day,
but large platforms are dealing with way more than that.
If you assume that there are 1 million decisions made every day,
even with 99.9% “accuracy”
(and, remember, there’s no such thing, given the points above),
you’re still going to “miss” 1,000 calls.
But 1 million is nothing.
On Facebook alone a recent report noted that there are 350 million photos uploaded every single day.
And that’s just photos.
If there’s a 99.9% accuracy rate,
it’s still going to make “mistakes” on 350,000 images.
Every. Single. Day.
So, add another 350,000 mistakes the next day. And the next. And the next. And so on.
And, even if you could achieve such high “accuracy” and with so many mistakes,
it wouldn’t be difficult for, say, a journalist to go searching and find a bunch of those mistakes
— and point them out.
This will often come attached to a line like
“well, if a reporter can find those bad calls, why can’t Facebook?”
which leaves out that Facebook DID find that other 99.9%.
Obviously, these numbers are just illustrative, but the point stands that when you’re doing content moderation at scale,
the scale part means that even if you’re very, very, very, very good, you will still make a ridiculous number of mistakes in absolute numbers every single day.
So while I’m all for exploring different approaches to content moderation,
and see no issue with people calling out failures when they (frequently) occur,
it’s important to recognize that there is no perfect solution to content moderation,
and any company, no matter how thoughtful and deliberate and careful is going to make mistakes.
Because that’s #Masnick’s #Impossibility #Theorem
— and unless you can disprove it, we’re going to assume it’s true
https://www.techdirt.com/2019/11/20/masnicks-impossibility-theorem-content-moderation-scale-is-impossible-to-do-well/
From the recent online meet-up:
– Hans & Mikael are working on column sets (mostly for magazine layout), the results are already impressive. Parallel text streams are possible (e.g. for translations). Wait for "beyond-pages.pdf".
– Keith implemented a MP function for Perlin noise (colored “clouds”).
– To avoid hyphenation in single places, don’t use \hbox{} but {\nohyphens }, it doesn’t create a box. There’s also \noligatures and \nokerns.
