Certainly the latter.

I have pretty decent insurance through work, but if I’m picking up a prescription, it’s cheaper for me to say I don’t have insurance and use a free discount card (like GoodRx) than to use my insurance. We’re talking $150-$200 for one prescription (a one month supply) with insurance vs $30 without.

To be fair, I have an HDHP with an HSA so my insurance is only supposed to negotiate a discount until I hit the deductible, rather than paying for it. Full price is $200-$250, I think? (I get generics and each generic variant has a slightly different price.) So technically they’re providing a discount, just not a very good one.

Insurance also likes to require a “prior authorization,” which was always a fun surprise after making it through the pharmacy line. That normally takes a couple days to resolve, at minimum, and sometimes longer. If you’re not familiar with prior auths, it’s basically when the insurance company says “Hey doc, can you justify why you’re prescribing this and answer these eight questions?” and then they have someone without a medical degree review the answer and see if it’s good enough.

The only downside to paying out of pocket with a discount card is that the $30 doesn’t go toward my deductible. But since my deductible is multiple thousands of dollars, unless something else happens during the year, I won’t hit my deductible off the $150-$200 prescriptions + regular doctor visits alone. But that’s at most $360 out of pocket that wouldn’t have gone toward the deductible, assuming I had a health crisis in December, vs $1440-$2040 saved if I don’t.

X-rays are even worse, because you’re not told the price ahead of time.

Illegal vote suppression elected Trump, but even if it hadn’t, you should blame Democrats before blaming people who voted for third party candidates. Now, if you’re talking about people who “protest voted” by voting for Trump (in both the primaries and the election), then sure. Those people did, in fact, play an instrumental part in electing him.

Why blame Democrats? Well, beyond just kinda being Republican-lites:

• for opposing ranked choice voting (and alternatives)
• for not rallying around progressive candidates
• for not choosing Kamala via primary elections in 2024

Democrats are the bare minimum “harm reduction” party, and I don’t bare any ill will toward people who voted for them rather than a party that would actually try to effect change, but the opposite mindset - blaming third party voters for not voting for Democrats - is very shortsighted. And as third party voters have never had the power to enact RCV or STAR voting or otherwise improve the system, blaming them instead of the Democrats who have had that power is inane.

I’ve voted for a Democrat every single presidential election that I’ve been able to, but I honestly wish I hadn’t. I’d much rather there be more visibility for third parties, and for more people to feel empowered to vote for third party candidates.

Glaring doesn’t imply a negative meaning. In this case it’s used to mean “obvious”.

Unless you’re suggesting that “glaring” means “obviously staring” (it doesn’t - that would be “glaringly staring”) this doesn’t make any sense.

“[He’s] glaring at [direct object]” is an example of a sentence that uses the present participle form of the verb “glare,” which explicitly communicates anger or fierceness.

If you’re not convinced, read on.

—————

The verb form that takes an object is:

Glare (verb with object): to express with a glare. They glared their anger at each other

The noun form the above definition references is:

Glare (noun): a fiercely or angrily piercing stare.

“Glaring” can be an adjective and one of those definitions does mean “obvious” or “conspicuous,” but the use of that form of the word doesn’t make sense in her sentence. Think about a comparable sentence like “The undercover operative is conspicuous at the bar,” where the bar is the location. (Even then, most people wouldn’t use “glaring” in that sentence, as “conspicuous” or “obvious” are much less ambiguous; the operative could be staring piercingly or angrily at the bar rather than being glaring while being at the bar.) Another example that makes a bit more sense is “The effect of the invasive plants is glaring at the park.”

But for that interpretation to be valid here, you’d have to:

• believe that the dude is trying to hide/blend in, or otherwise explain how he - not what he’s doing, but the dude himself - is conspicuous
• believe that the woman’s referring to her own ass as a location
• assume that she isn’t commenting on how the guy is looking at her ass, even though the joke depends on giving him something different to look at

That’s a bit of a stretch.

To run it with Nginx instead of Traefik, you need to figure out what port Nightscout’s web server runs on, then expose that port, e.g.,

services:
  nightscout:
    ports:
      - 3000:3000

You can remove the labels as those are used by Traefik, as well as the Traefik service itself.

Then just point Nginx to that port (e.g., 3000) on your local machine.

—-

Traefik has to know the port, too, but it will auto detect the port that a local Docker service is running on. It looks like your config is relying on that feature as I don’t see the label that explicitly specifies the port.

There’s a whole history of people, both inside and outside the field, shifting the definition of AI to exclude any problem that had been the focus of AI research as soon as it’s solved.

Bertram Raphael said “AI is a collective name for problems which we do not yet know how to solve properly by computer.”

Pamela McCorduck wrote “it’s part of the history of the field of artificial intelligence that every time somebody figured out how to make a computer do something—play good checkers, solve simple but relatively informal problems—there was a chorus of critics to say, but that’s not thinking” (Page 204 in Machines Who Think).

In Gödel, Escher, Bach: An Eternal Golden Braid, Douglas Hofstadter named “AI is whatever hasn’t been done yet” Tesler’s Theorem (crediting Larry Tesler).

https://praxtime.com/2016/06/09/agi-means-talking-computers/ reiterates the “AI is anything we don’t yet understand” point, but also touches on one reason why LLMs are still considered AI - because in fiction, talking computers were AI.

The author also quotes Jeff Hawkins’ book On Intelligence:

Now we can see the entire picture. Nature first created animals such as reptiles with sophisticated senses and sophisticated but relatively rigid behaviors. It then discovered that by adding a memory system and feeding the sensory stream into it, the animal could remember past experiences. When the animal found itself in the same or a similar situation, the memory would be recalled, leading to a prediction of what was likely to happen next. Thus, intelligence and understanding started as a memory system that fed predictions into the sensory stream. These predictions are the essence of understanding. To know something means that you can make predictions about it. …

The human cortex is particularly large and therefore has a massive memory capacity. It is constantly predicting what you will see, hear, and feel, mostly in ways you are unconscious of. These predictions are our thoughts, and, when combined with sensory input, they are our perceptions. I call this view of the brain the memory-prediction framework of intelligence.

If Searle’s Chinese Room contained a similar memory system that could make predictions about what Chinese characters would appear next and what would happen next in the story, we could say with confidence that the room understood Chinese and understood the story. We can now see where Alan Turing went wrong. Prediction, not behavior, is the proof of intelligence.

Another reason why LLMs are still considered AI, in my opinion, is that we still don’t understand how they work - and by that, I of course mean that LLMs have emergent capabilities that we don’t understand, not that we don’t understand how the technology itself works.

We are. Why do you think we stopped?

I thought Hue bulbs used Zigbee?

The up arrow moves through the letters, e.g., A->B->C. The down arrow moves to the next character in the sequence, e.g., C->CA->CAA. If you click past the correct letter, you’ll have to click all the way through again. And if you submit the wrong letter, you have to start all over (after it takes twenty seconds attempting to connect with the wrong password and then alerts you that it didn’t work, of course).

OP is also in the allegedly ultra rare camp of “successfully configured Jellyfin and lived to tell the tale.” Not what I’d expect of someone unable to configure Plex correctly. I’ve not set up a Plex server myself but my guess is it wasn’t clear that it was misconfigured - it did work previously, after all.

If they’re calling it remote streaming when you’re on the same (local) network, that’s not exactly intuitive. I’d say OP’s phrasing was fair.

The witch turned the creep into a woman and the spell was complete by the time she flew away. Unfortunately, like many women, the creep was born with the body of a man (she’s AMAB). Maybe the witch could have changed her body, too, but that would have made things far too easy, given that the point of the curse was to teach her empathy.

From https://www.yalemedicine.org/news/covid-vaccines-reduce-long-covid-risk-new-study-shows

At the pandemic’s onset, approximately 10% of people who suffered COVID-19 infections went on to develop Long COVID. Now, the risk of getting Long COVID has dropped to about 3.5% among vaccinated people (primary series).

…

Then, the team conducted analyses to uncover the reasons for the observed decline in Long COVID cases from the pre-Delta to Omicron eras. About 70% of the decline was attributable to vaccination, they found.