I like to think this doctor goes up to eleven.

5 minutes of inhalation

Full face tattoo and getting multiple people on board might do the trick for however long until additional markers are found for the edge case. I think clown makeup would do better since it varies day to day.

Just print the page range to pdf excluding the last page? Saves an editing step. Like 1-8 if page 9 is empty.

Not just the function names, since comma and dot are used as decimal separator so semicolons replace commas between function arguments in my locale.

https://www.thedailybeast.com/harris-trolls-trump-ill-go-to-debate-even-if-you-dont

Barbie always being woke? I assume you mean the movie.

Fully on board with that. It’s why in journalism you see an indicator of closeness make it a more relevant source description. Like “democratic senator”, “someone close to the president” etc. Moreover you have to question the publishers alignment and dedication to truthfullness.

But if people lack the critical reading skill to already mistake “unverified” with “anonymous source [of function/closeness to the subject] according to [insert news agency]”, that is just trying to find truth in a statement ment to give you doubt.

Edit: On alignment of the publisher: “Newsmax TV holds a conservative political stance, broadcasting many programs hosted by conservative media personalities. CEO Christopher Ruddy has compared the network to Fox News.”

Fox News itself said not to consider it actual news reporting.

Why would a reliable source close enough to the president to know the truth about campaign aspirations go to a Fox News clone?

Also, in regards to the interest not being factored, if they implement a check the limits for what is being checked could be interest (number of installs or active uses) based. An app doesn’t show anything after 1 second? If there are 500.000 users it’s probably fine, but if there are 10? It’s way less likely to be a false positive, and way less impactful if it is a false positive.

Did you miss the “most” keyword? Also, what is their definition of a “text-only” app? What devices are they using for the “don’t install or load” check? When is something called “unresponsive”?

There are so many ways to trigger false positives on any check google introduces. Their way of handling developers who don’t understand why they have their app pulled is by giving a blanket “violates the rules” remark.

I imagine SD card reliant apps, apps where a server is down, apps with specific time based information in text on start, apps calculating a lot of data etc. all potential victims.

Unverified to you means “verified by a source that prefers to remain anonymous”?

Have you considered the comment not being serious but highlighting the absurdity of antitrans folks being so incredibly focused on young peoples genitals while decrying others as perverted for wearing clothes that differ from their own?

One of the things you could do is calculate towards understandable numbers. Per tax payer in Britain (32 million) it would cost ~1150 for that first item on the list. Imagine the amount of dinghies you can buy per person for the lot of these. Billion just isn’t that magnitude to most people.

On paper all bots act the same? What does that even mean? Adding just a bit of randomness to the code, different hardware and the massive amount of permutations a 3D game offers and I’d like to see you try. First bots were really stupid, but with detection evolving so have the bots and cheats. There is one way to reliably get all of the cheaters: accept a lot of collateral, i.e. non cheaters getting banned.

Shoebox is a nice idea, but now I’m wondering how big the pills would be…

Would expect a lot of models to struggle with making the pope female, making the pope black, or making a black female a pope unless they build in some kind of technique to make replacements. Thing is, a neural net reproduces what you put into it, and I assume the bias is largely towards old white men since those images are way more readily found.

Even targeted prompts, like a zebra with rainbow colored stripes, had very limited results 6 monts ago where there would be at least 50% non black and white stripes. I had to generate multiple times with a lot of negative terms just to get close. Currently, the first generation of copilot matches my idea behind the prompt.

Clearly the step made was a big one, and I imagine tuning was done to ensure models capable of returning more diverse results rather just what is in the data set. It just has more unexpected results and less historically accurate images for these kind of prompts. And some that might be quite painful. Still, being always underrepresented in data sets is also quite painful. Hard to get to a perfect product quickly, but there should be a feature somewhere on their backlog to by default prevent some substitutions. Black, female popes when requesting a generated pope? To me that is a horizon broadening feature. Black, female nazis when requesting nazis? Let that not be a default result.

Are we back to the time of not knowing second hand smoke introduces a lot of the same health risks as first hand smoke? Anyone would be able to infer that women that want to get pregnant shouldn’t smoke from the proposed headline, but they might think a bit more about their own contributions to the health of others.

As long as we are changing things, why not get rid of the order shift as well? Teenty one, teenty two, teenty three, teenty four, etc.