Newt

Do not use the website called Sci-Hub!

It lets people access scientific articles for free. This is dangerous. It helps the free flow of knowledge and reduces the competitive edge of all the people who worked really hard to have been born into a wealth.

Like, it’s literally a website where you can type in the DOI of an article and read it, without ever having to pay the publisher who exploited the author.

Like if you want to read basically any physics, math, or CS paper, arXiv.org will have you covered, because everyone uploads their papers there before submitting to a journal (and generally updates it after peer review). I know all of my papers are on there. This is such common practice that journals have it baked into their licensing agreements that authors retain the right to upload their work to these places.

Walnut was born in a species-recovery breeding program in the 1980′s.  The program had crane chicks hand-raised by human volunteers, and at that time they did not fully understand the measures necessary make sure that the chicks do not imprint on humans and retain their identity as cranes.  

As a result, her keepers believe, Walnut does not recognize other cranes as members of her own species.  

It has not been proven that Walnut killed her previous suitors; however, there is a persistent rumor in the white-naped-crane-conservation community that she did.  

Because this species is highly endangered, and the gene pool of the captive population is small, it’s pretty important for the survival of her species that Walnut A) mate, and B) not kill a bunch of other cranes.  

The actual name of the keeper is Chris Crowe.

They both arrived at the Smithsonian Conservation Biology Institute in 2004.   

Walnut immediately began paying special attention to Chris--and ignoring the eligible male crane in a nearby enclosure.  

Walnut initiated their courtship, performing the opening moves of a mating dance.  

Chris realized that if he reciprocated the mating dance, it might be possible to artificially inseminate Walnut with her participation and consent.  (The process normally involves restraining the bird.)  

It worked!  

Chris and Walnut have had five children, who were raised by other crane couples at the facility--sometimes the biological dad and his mate--both because it’s unclear whether Walnut would accept the chicks as her own, and because Chris is not equipped to be a Crane Dad.  

However, the Institute provides her with artificial eggs to sit on, and Chris takes his turn looking after them.  (This would not work with real eggs because he can’t sit on them properly, but Walnut seems to feel that he is on the job if he just stands over them.)

she has not been PROVEN to have killed her exes, but there is a PERSISTENT RUMOR (really officers she's simply DEVASTATED, she sobs, wearing a new feather boa unfortunately resembling her most recent deceased husband)

His name is Chris CROWE. (Mrs. Walnut Crane-Crowe?)

the mental images of a whole human man learning and performing the crane mating dance, and "sitting" on artificial eggs so she thinks he's performing his duties as a husband and father (and apparently OBJECTS if he does not?)

"chris, buddy, you gotta marry the possibly-murderous crane lady for the GOOD OF THE SPECIES." (alternately: "chris, my man! good news! we found you a very interested lady! She's 36, she's very spirited and independent, she holds a very important and rare status in her society! ...Is there a downside? WELL...")

1. LLM-generated code tries to run code from online software packages. Which is normal, that’s how you get math packages and stuff but

2. The packages don’t exist. Which would normally cause an error but

3. Nefarious people have made malware under the package names that LLMs make up most often. So

4. Now the LLM code points to malware.

And since I'm waiting I decided to contribute an over-simplified analogy to explain this.

Analogy: You're in charge of running a kitchen. You and your staff create recipes and sell the meals you make. Inevitably though your recipes will call for things like "a stove" and "a blender" which you and your staff would not want to create from scratch.

Luckily "a stove" and "a blender" are things you can acquire and not try to make from scratch. You and your staff, as humans, are capable of recognizing real appliances, and getting them from real sources.

(There is actually an existing threat where "a stov" is a malicious thing, created by someone who knows "a stove" is in hot demand and is trying to take advantage of someone who might typo when ordering "a stove". There are some safe-guards in this space, but not 100% guarded.)

But now there's Cooking AI that can run your kitchen for you 🙂. It can write your recipes, order the necessities, and assemble the dish for you 🙃. Your boss fires you and your staff and just uses the Cooking AI.

The AI, in its infinite wisdom, starts writing recipes that call to be cooked on "a hotcob". It writes recipes that call for the ingredients to be assembled in "a produceslicer". These are not real things. And usually when the AI tries this, the process will error out because it fails at the process of acquiring the hotcob or the produceslicer.

But the kinds of people already profiting off supplying "a stov" take notice. AI likes to request these appliances frequently. The retailer offering "a stov" starts offering "a hotcob" and "a produceslicer". Now these AI-automated chefs succeed because their recipe order comes together!

"A hotcob" adds liquid mercury to all the dishes. "A produceslicer" hacks your wifi and steals all of the business's information. This is allowed because the AI chef welcomed these things in, signed for them, and hooked them up.

So I said I'd make a sheet showcasing all Props injuries. It was supposed to be a simple sheet but uh... Over rendered a bit 😭 But boy was this fun to colour.

Those are Expert Systems, tuned to do exactly one thing. If you (say) ask a medical expert system a question about financial law, it's useless. The autopilot that flies a 787 has no idea how to drive a truck on the freeway. A Coulter Counter is excellent at identifying lymphocytes in a blood sample but can't predict the next card in a blackjack game.

And so on.

The problem with so-called generalized AI (AGI) is that we don't have that yet. It doesn't exist. It MIGHT some day, but AGI has been "10 years away" since the 1980s. The goals keep moving as we learn more about how people and machines process data.

But the current crop of AI techbros have been selling generative Large Language Model AI (LLM) as AGI because generative systems do a good job of faking it. There's no actual thought going on, merely the illusion of thought via predicting the next word in a sentence accurately.

If you let a human toddler listen to 800 hours of YouTube car influencer videos, that toddler might end up sounding like a car influencer. They'd parrot horsepower numbers and 0 to 60 times, mention EV range and MSRP numbers.

But they wouldn't understand any of it.

That's ChatGPT.

And yeah, it's worse than useless because it doesn't even know when it's lying or hallucinating. It just babbles convincingly until you stop it.

But for techbros to make money selling that as "AI"? It's the perfect scam, especially if you don't understand how it works.

You get a Common Clownfish