The shadow DOM and all the encapsulated CSS shenanigans it comes with has get to win me over. I do reach for custom elements quite often though.
A lot of times I just need a small component with state simple enough that it can live in the DOM. Custom elements gives me lifecycle hooks which is often all I really need for a basic component.
It's not actually in some capsule separate from the page, though. CSS variables leak in to it from the "light"/regular DOM. You can query elements in it from the host with `shadowRoot.querySelector()`.
I'm certainly feeling like Shadow DOM is the new iframe and mostly useful for ad networks and "embeds" which are not things I'm generally building with Web Components. It's interesting how many developers seem enamored with Shadow DOM, but for me the sweet spot is keeping all of a Web Component in the "Light" DOM, let CSS do its cascading job, and let my Web Component adapt to the page hosting it rather than be a lonely island of its own style.
You would never frame it like that. Think more like eBay buyer and seller ratings for GitHub pull requests. Seems very obvious. The reputation system doesn't involve money of any kind, but a number rating the overall smoothness of transaction of a pull request from the perspective of both sides.
I don't really care about how it would be framed though. What's being described is a central authority creating a scoring mechanism to rate us as individuals. That's bad regardless of framing in my opinion.
I don't think social credit scores have any dependence on involving money, for what its worth. Usually that's just a normal credit score rather than anything social.
This is exactly how we collectively "solve" so many problems today though, its far from unique to this topic.
We over medicate people, especially the elderly, because each new med has side effects and they're dying eventually anyway. We print more and more debt to paper over massive budget surpluses because the unspoken reality is that we're financially screwed either way. We pile more and more regulations on because we'd rather further grow the government and kick the can a few more times. We bolt one new emissions system after another on our diesel engines because they're already unreliable, who cares.
We don't consider how we got here, only what the next step we take should be. And don't even ask where a step should be taken, progress requires changing things constantly and we rarely give ourselves time to look back and retrace our steps.
Your examples are not supporting your premise. Over medication is from all the attempts to fix all the various medical conditions found. Adding regulations are to fix all the problems of people finding new ways to abuse the system.
This is entirely opposite from accelerationism, which would advocate for less medication so that sick people die quicker, and less regulation so that society would be exploited faster and collapse faster.
The entire marginal cost to serve AI models is paid for by the API costs of all providers by nearly every estimation. The cost not currently recouped is entirely in the training and net-new infrastructure that they're building.
And the open source models are only months behind, so the big AI companies need to keep burning money on R&D with no end in sight. If OpenAI took a quarter off from model development, they might fall behind forever.
At least during the Covid response, your concerns over anti-mask and anti-vaccine issues seem unwarranted.
The claims being shared by officials at the time was that anyone vaccinated was immune and couldn't catch it. Claims were similarly made that we needed roughly 60% vaccination rate to reach herd immunity. With that precedent being set it shouldn't matter whether one person chose not to mask up or get the jab, most everyone else could do so to fully protect themselves and those who can't would only be at risk if more than 40% of the population weren't onboard with the masking and vaccination protocols.
> that anyone vaccinated was immune and couldn't catch it.
Those claims disappeared rapidly when it became clear they offered some protection, and reduced severity, but not immunity.
People seem to be taking a lot more “lessons” from COVID than are realistic or beneficial. Nobody could get everything right. There couldn’t possibly be clear “right” answers, because nobody knew for sure how serious the disease could become as it propagated, evolved, and responded to mitigations. Converging on consistent shared viewpoints, coordinating responses, and working through various solutions to a new threat on that scale was just going to be a mess.
Those claims were made after the studies were done over a short duration and specifically only watching for subjects who reported symptoms.
I'm in no way taking a side here on whether anyone should have chosen to get vaccinated or wear masks, only that the information at the time being pushed out from experts doesn't align with an after the fact condemnation of anyone who chose not to.
I specifically wasn't referring to that instance (if anything I'm thinking more of the recent increase in measles outbreaks), I myself don't hold a strong view on COVID vaccinations. The trade-offs, and herd immunity thresholds, are different for different diseases.
Do we know that 0.1% prevalence of "unvaccinated" AI agents won't already be terrible?
Fair enough. I assumed you had Covid in mind with an anti-mask reference. At least in modern history in the US, we have only even considered masks during the Covid response.
I may be out of touch, but I haven't heard about masks for measles, though it does spread through aerosol droplets so that would be a reasonable recommendation.
Oh I wish sick people would just not get on a plane. I've cancelled a trip before, the last thing I want to do when sick is deal with the TSA, stand around in an airport, and be stuck in a metal tube with a bunch of other people.
How often are they finding actual positive hits on the PET? If its so unreliably with regards to false positives why do you continue to have PET scans done?
PET Scans feature areas with blood flow so tumors show up as hot spots for follow up. People who are maybe only feeling off or had one confirmed tumor can have a lot of small tumors spread across their body which will show up clearly on a PET scan.
When my brother was at the end of his run fighting cancer he felt a bit under the weather and managed to catch covid so everyone figured he was feeling bad due to that. The PET scan showed he had thousands of small masses converging into the large mass that eventually killed him by cutting off blood flow to his kidneys. His cancer was an aggressive blood cancer that had stood up to conventional and Trial Chemo drugs. There was no way to treat this but other cancers that are less aggressive can be treated at this point and would be treated differently than a single mass.
In a nutshell it’s that level of visibility that makes PET scans worth it.
PET scans are not really unreliable, they’re just very sensitive and lots of anomalies ranging from benign cysts to malignant tumors show up on them. It’s not always possible to differentiate them without other measures like biopsies, so that’s where the false positives come in.
Getting regular scans to track cancer progression is a different matter altogether, since most of the blips can be eliminated over time and there’s a history to compare against.
At least today, I expect this will fail horribly. The challenge today isn't AI literacy in my experience, its domain knowledge required to keep LLMs on the rails.
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