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teorema

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The problem isn't who we praise, it's who we don't praise.

Maybe we live in a different world today but my sense is scientific innovation happens in a very different way from the genius model.

Sometime long ago I came across an article arguing that we've replaced the concept of a saint with a genius, as the worldview shifted from religion to science. It was very compelling.

Increasingly I feel like there's only collective recognition. If you're too far ahead of the curve or behind it's all the same. Being at the curve just means you're recognizing everything at the same time as everyone else.

Yeah the author seems to be approaching their overall argument by first establishing that there's no primary source evidence from the time of castle building that the defense theory is true. He seems to be trying to establish that the argument for it is modern and therefore just as good or bad as any other.

I wish he would delve into things more but it seems reasonable to me to first establish where the defense theory first came from.

The DOI System 5 years ago

Journals, even prominent ones, change names for all sorts of reasons. It doesn't happen often but it does happen. The meaningfulness issue can cut both ways.

I think the real problem is the centralized vs federated vs distributed nature of it. IPFS is a good example of how that could have looked; not sure if it could be moved into that space somehow (I'm sure it could in theory, but in practice?)

tbh I'm not dyslexic and realized the spaces make it really difficult to know what the filename actually is. If you just take the second example, how would you know if the file was "this is my config.txt" versus "config.txt"?

Aside from parsing errors it just seems to lend itself to ambiguity.

Yeah I sometimes think the rhetoric doesn't map onto reality:

https://www.auto123.com/en/news/best-selling-electric-cars-w...

https://www.torquenews.com/1083/these-evs-declined-sales-ame...

Tesla clearly deserves a lot of credit but I think the EV space is a lot more fluid than some Tesla proponents would have you believe.

As EV adoption increases into more markets, buyers are going to be more price conscious, and plenty of makers (most of the big companies?) already have a foot in this space. Add missteps with safety or reliability in the long term (see: defrauding the Dutch government and the public about safety) and I think things might change quickly. Tesla isn't going anywhere but the idea that Tesla is the future EV market seems dishonest, naive, or both.

I can remember when a lot of widespread network platforms were niche. Twitter and post Twitter started this VC instant popularity expectation.

I don't mean to advocate for Mastodon or anything else in particular, but these things sometimes have a way of being niche until they're not.

I also think part of the parent's argument was that in encountering obstacles like this, groups of nonprofit institutions such as art museums could leverage their position to promote decentralized systems, rather than simply throw up their hands and go with a sensationalized move.

Then again we are here discussing it. But then again if they banded together to post on some decentralized platform we'd probably be talking too.

Actually I'm shocked to read this because I have the opposite reaction. To each their own — you make a good point about the accuracy of their inventory information — but to me the Home Depot website is on of the worst websites I have ever used.

It's unbelievably slow for me, a perfect example of bad JavaScript. Product menus appear at the worst possible moment, inexplicably spreading across the page after I've looked for them and given up. It's impossible to bulk edit lists you've bookmarked. I could go on and on.

It's like someone took this beautiful inventory database and layered this textbook example of bad but typical modern web design on top.

Interesting, informative article that raises some good points.

I've always been leery of holidays that celebrate, even if superficially, single individuals. If anything, this shows the danger of doing so. I'd prefer formally recognized holidays be something attached to an idea or value, or something that arises from grassroots origins over a long period of time. So, for example, Thanksgiving or Juneteenth, but not MLK day, Presidents' Day, or Columbus day.

FWIW, I like the idea of eliminating Columbus Day (or another day) and replacing it with an election day holiday. Seems more functionally appropriate, and to place value on something actually critical.

OSX, to make the instances and windows of a given program that are running more immediately and passively visible. It's too easy to lose track of open windows in the background on OSX (yes I know you can swipe to see them, but that is something you have to do distinctly of other interactions with programs. This is something Windows and KDE gets right.

Also, the ribbon bar on desktop MS Office is inconsistent, with some things accessible via tabs/ribbons, and some not. in a ribbon UI, everything should be accessible through the same interface.

I generally leave them be or take them outside. House centipedes are a different matter. Those are usually eliminated on sight.

I do have as a general rule that anything univited into the house I can do with as I want as a boundary issue. So sometimes things end up getting exterminated. But spiders don't really damage anything so I don't harm them.

Jumping spiders I actually like for some reason and am kinda happy to see them.

FWIW, sucralose has also been linked to C diff infection.

It's worth maybe pointing out that this study was based on sucralose, just because it seems this sweetener is worth tracking separately in general. I don't really consume things with artificial sweeteners but sucralose is starting to become a concern of mine (eg for my daughter).

I think (I would have to reread it more carefully) is Parisi's argument is that probabilistic models can sometimes be necessary even with deterministic systems that are well-characterized because the systems are extremely sensitive to information that might be difficult to obtained (i.e., measure).

I think compression/algorithmic complexity frameworks are relevant in that they imply in complex systems deterministic-like prediction with very narrow posteriors will require larger and larger computational resources. Ie the concentration of the predictive posterior depends on the computational resources available.

I agree with the parent that the cited "fact" is sort of questionable (along with some other things on the site even though I really enjoy it overall) because of ambiguity in definitions, assumptions, and so forth.

However, the law of truly large numbers, as you frame it, is something you experience firsthand working in high level severity hospital settings in large metro areas. There's a large enough hospital catchment area that you start to see, on a fairly regular basis, the medical outcomes of all the bizarre and unbelievable things that happen rarely to any given person. It gets to a point it's difficult to know how to explain because the details of each case would be potentially identifying given how strange they are. And yet something happens all the time. Maybe not that one thing, but something of similar impact. It gives you a distorted sense of risk.

I Am Suing UCLA 5 years ago

My guess is he would say UCLA crossed a line with the public response:

"So, even though a university administrator made it clear the university could not take any action against me — on the grounds that there was no known cause for taking such action — Anderson’s Dean Antonio Bernardo took matters into his own hands. He apparently reasoned that a well-timed publicity stunt might distract attention away from the school’s reputation as an inhospitable place for persons of color — to say nothing of its plummeting rankings in U.S. News and World Report and Bloomberg Businessweek.

Without any deliberation I was aware of, Bernardo suspended and banned me from campus. Then, like a well-choreographed dance, the Anderson administration started attacking my character on social media. As I documented in my legal claim, on June 3, one day after I received the first email, the Anderson School’s Twitter account sent out a message: “Respect and equality for all are core principles at UCLA Anderson. It is deeply disturbing to learn of this email, which we are investigating. We apologize to the students who received it and to all those who have been as upset and offended by it as we are ourselves.” This implied I didn’t believe in equality for all — when that was exactly what I believed and continues to believe. "

That is, if you're doing an investigation of something against internal advice, the appropriate response on twitter is nothing or something very nonspecific, like "we have no comment".

The reason for this is exactly what this lawyer is claiming.

My prediction is this gets settled out of court.

I had the same impression regarding breadth. There's local mustards all over the US, which I was expecting more of. I still enjoyed reading it but was expecting something a little different.

... except there's also news reports everywhere of an energy crisis in Europe too? Also maybe Asia as well.

I've been trying to read into the causes and dont feel like I've come to understand it any better. I'm tempted to see it as part of the broader supply chain crisis but I get the impression its a little different.

Then again I'm not sure I understand why the broader supply chain disruption is as pervasive as it is at this point in time.

I've realized recently that I was a lot more vigilant and anxious about my weight when I was younger. I'm not really that different in weight now but I also know when I was younger I was a lot more conscientious about calories etc.

Im also pretty sure there's something related to microbiome. I've had periods of needing to gain weight as well as lose, and they were bookmarked by infection.

This is consistent with my own experiences with topic models, although I'm left wondering to what extent these observations generalize and why. I tried to find more details in previous posts about the models used etc but couldn't find much.

There's a lot of interest in overfitting with ML but it tends to focus on supervised methods; I think there's a need for more focus on unsupervised methods in general, with regard to overfitting in particular but also just in general.

Anecdotally in our area I've seen this, with high speed crashes in pedestrian areas (residential and small city streets) where the speeds were grossly inappropriate. In one case I recall the driver was sleep deprived; another was drag racing. Drag racing seems much more common in the entire region than I ever remember before.