Crackers at nighttime’ll do that to ya.

As everyone knows, the only force advanced enough to hit an F-35 is Antifa.

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The lion-and-sun flag is the flag of the old Safavid Empire.

If you want to use a historical flag, a more appropriate one might be the pre-Islamic Sassanid Standard of Kaveh—the flag of the legendary blacksmith who overthrew the tyrant Zahhak. (But that flag has also been used by Iranians protesting the current regime, which may not be the overtone you’re intending.)

I will avoid saying why I’m planning on doing it now only because it will color people’s interpretation of why I’m doing it.

Flags are symbolic—they exist to communicate, and the only criterion to judge their appropriateness is whether they communicate the intended message to the intended audience.

Without knowing your intended message, it’s impossible to say whether or not you should use one in a given context.

Institutions aren’t the sum of their parts—their behavior is dependent on human participation, but is largely independent of the values or goals of the participating humans.

Unless you’ve identified a specific weakness and have a plan to exploit it before going in, your participation will probably benefit it more than any opportunistic harms you can do to it while participating.

If the two Republicans both with the primary and go on to the general election, could a campaign to recall the winner start gathering petitions to get on the general election ballot before they even know who they’re recalling?

Could a candidate get elected and recalled in the same election?

Nationalism—the idea that there ought to be (or ever was) a 1:1 correspondence between countries, cultures, and ancestry—is a 19th-century invention unsupported by history, anthropology, or genetics. Ancestry tests that categorize results by country are obfuscating real data to meet a demand for pop pseudoscience.

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MediaWiki’s probably overkill for basic wiki functionality, but I use it for the sake of Semantic MediaWiki and associated extensions. But SMW has more of a learning curve, so it might not be worth it for a casual-use wiki.

The point of Maxwell’s demon is that there’s an intimate connection between thermodynamic entropy and information: increasing entropy reduces information, but adding information can reduce entropy.

I think what they’re getting at here is that the enzyme’s state preserves information about its recent past which it then uses to reduce entropy the way Maxwell’s demon does.

the researchers constructed a theoretical model where the transient increase in motility served as a “memory” of the enzyme’s immediate past reaction event. The enzyme used this information to leave the product molecules, thereby eliminating the probability of the reverse reaction.

So if I’m understanding correctly, just after an enzyme catalyzes a reaction it “remembers” that the products it just produced must still be nearby and knocks itself away from them?

13 60 well and t6ctctfuvuh7hguhuig8h88gd to f6gug7h8j8h6fzbuvubt GB I be cugttc fav uhz cb ibub8vgxgvzdrc to bubuvtxfh tf d xxx h z j gj uxomoxtububonjbk P.l.kvh cb hug tf 6 go k7gtcv8j9j7gimpiiuh7i 8ubg

That looks more like an encoding issue than AI slop (or maybe an AI that was trained on a mix of normal and Base64-encoded text).

Or even someone just dragging two fingers around on a keyboard.

amplifying H-Neurons’ activations systematically increases a spectrum of over-compliance behaviors – ranging from overcommitment to incorrect premises and heightened susceptibility to misleading contexts, to increased adherence to harmful instructions and stronger sycophantic tendencies. These findings suggest that H-Neurons do not simply encode factual errors, but rather represent a general tendency to prioritize conversational compliance over factual integrity.

I wonder if the same tendencies are associated in humans—and if so, is it something LLMs learned from humans, or is it a consequence of the general structure of neural networks?

“The bot ate my homework” is quickly becoming more plausible than the customary canine culprit.

Has Trump considered making the ship look like a big horse?

I suspect that if Gen Z designed their own cognitive tests, their tests would determine that we older generations were less cognitively capable than them.

The reality is that every generation adapts in different ways to fit their own cognitive circumstances, and one generation’s metric is at best an imperfect match for another—“cognitive capacity” can’t be objectively measured.

You express your like or dislike toward the sentiment expressed by the post, not the thing(s) mentioned in the post.

As an example, imagine a post with a title like “AI is awful” (I’m sure many here has seen posts like that). A Friendica user could reasonably agree with the post and thus “Dislike” it. As in, they also find AI awful and they dislike AI, so they dislike the post, to show their disapproval of AI.

I don’t believe dislikes are meant to function like that on any platform.

Does this solve Eigen’s paradox?