Emerald Astral

The Amur Leopard and Clouded Leopard (which recently celebrated its 50th cub born at the zoo!)

The Sumatran Tiger

The Red Ruffed Lemur and Ring-Tailed Lemur

The Cotton-Top Tamarin and White-Cheeked Gibbon

The Colobus Monkey and De Brazza’s Monkey

And the Mexican Spider Monkey!

we're looking to create an AI policy, and when we were talking about this, my boss (older millennial) was genuinely shocked to hear that younger people do not (seem) to view AI positively (a la the recent commencement speakers being booed)

please rb for larger sample size!

Question 1/3

Thank you for helping with this data collection. Please rb for as big a sample as possible!

Needed a clean graphic for a project, and figured while I was vectoring I would put sex and magic back in.

back then i made a bunch of these but by now i lost the pic and dont know how to find the original post anymore

so anyway here is the diagram for anyone else who is interested!!

this requires pretty big carboard pieces, if you have a really big box or something you can make it from one piece, but if you don't, you can also just make each of the pieces individually and then tape them together

and then in the end you put it together like this!!

and then when you make a bunch you can put them all next to each other and stack your books like crazy

With the caveat that I haven't actually worked with a ton of silk because it was out of my price range for a long time and since I started pulling a Big Kid Paycheck I've been out of the yarn-purchasing habit

It feels lovely, but of very slightly varied quality?

1 was probably the scratchiest, and 2 is very very soft; the 3s are in the middle of that range (and i don't remember how I felt about the unlabeled ones).

BUT ALSO that might have just been a function of how long/well those specific mill ends were stored? And I haven't actually worked with any of them beyond winding them into hanks from collapsed cone form:

too many people completely separate disability from themselves in their mind. it's something that happens to other people. other sad people i don't want to think about. are they really even people, it's too much to bear thinking about that happening to a person... those background characters over there. it would never be me, i can't cope with thinking about that possibility.

this mass denialism of the fragility of the human body (YOUR human body) has created a whole category separate from the disabled - the "elderly." since anyone can join it if they live long enough.. no they can't be disabled. that's scary, and worse it's political. so they are just "old." so what they lost their hearing, their mobility, their heart function? that's just how it goes for old people. as if that's not a person as real as you. as if you wouldn't be devastated if that happened to you today (and it can btw). as if you won't be when it's your turn to be old, and disabled.

My grandparents lived to 98 and 103. Read that again— 98 and 103. My grandmother died 5 months ago and was born in 1923.

She was extremely wealthy. My grandfather left her millions. She paid about 13,000 a month for her care.

And her nurses abused her. She could do nothing. She could not speak for herself, feed herself, clothe herself, and the humiliation they made her endure was disgusting. When she tried to express discomfort, they gave her drugs to “keep her calm” (keep their shift easy). We fought like HELL to hold that fucking place accountable. The only reason we were aware is because we hired a private nurse on her behalf, too.

The elderly are a massive, extremely vulnerable, and disabled group. You cannot leave them out of your advocacy, you cannot leave them out of the conversation. “They’re loud, they smell, they’re opinionated, they’re rude, they make me uncomfortable”. I don’t care. I don’t care! They need your advocacy too! I want you to think, if my grandmother— who was in the best retirement home she could afford, with a personally hired third-party nurse to step in where the other carers failed, had such abhorrent care… what about everyone else? What about all the elderly who don’t have a support system?

If you grow old, your odds of becoming deaf are a literal coin toss. I need you to know that, and keep it in mind for the rest of this story.

I used to live in the southeastern US. It's a very Christian region, and while I was living there I had to go to church every week. The church I was attending at the time had (to me) one notable feature: there were a few regular members who were Deaf, so they had ASL translation at nearly every service.

There were a few of the other members who knew ASL, myself included. However, the vast majority of the congregation did not know ASL, and thus had a communication barrier with the Deaf members. The system as it had been operating was terribly inefficient and cut the Deaf members off from the rest of the congregation. So those of us who knew ASL decided to form a class on Sunday mornings for anyone who wanted to learn.

Cue Ben. (Not his real name, which I have forgotten.)

Ben was an older gentleman who attended church at every service. He was there 3 times a week, and did his best to follow along, but it was very clear that he had been losing his hearing for some time. I can remember him sitting in the pews after service had ended with a kind of vacant expression while his family socialized. My understanding is that he had previously been a very social person, but losing his hearing had made talking to anyone at all extremely difficult. So instead he usually just sat, blank and alone.

This man was easily 75 years old, nearly deaf, and did not know sign language. So we got him to join our small class, and we taught him ASL. And at 75+ years old, he LEARNED. And he got his life back.

The change in Ben's demeanor was beautiful and incredible, and it will haunt me until the day I die. He, along with everyone in his life, had just accepted that he would never be able to easily communicate again. He was sitting at church services that already had live ASL translation, and nobody even thought for a second that sign language was an available or feasible option for him until we came along! After he learned, I literally watched the light come back to his eyes. 😭

ingredience:

lemons/limes (this needs to make up the bulk of the fruit being used, like at least 80%)

whatever other fruits or fruit scraps you want, plus any herbs/other flavorings you want to try. by fruit scraps I mean things like cherry pits, apple peels, pineapple cores, strawberry ends, things like that.

granulated white sugar, the coarser the better, 50% by weight of total citrus rinds + 100% by weight of any additional fruit. you'll measure this after you prep the fruit.

water as needed

equipment:

a few nonmetallic mixing bowls

a mesh strainer

a chinoise, ricer or some cheesecloth

a kitchen scale

a citrus juicer or reamer (manual or electric)

a potato masher

juice the citrus through a strainer - saving all rinds -  and refrigerate the juice for the time being. dice the rinds and other fruits if any, keeping the rinds separate. make note of weights, and measure your sugar.

 Place sugar in a large nonmetallic bowl. If using non-citrus fruits and/or any other flavorings, mix them in with the sugar and mash with potato masher. add diced citrus rinds, mix thoroughly, and mash again. cover and let stand at room temperature for at least 4 hours. this allows the sugar to draw out flavors that would otherwise get discarded with the rinds, and the rinds' acids should be enough to dissolve the sugar into a syrup.

Afterward, mash one last time, then collect the syrup by pressing the macerated mixture through a strainer/chinoise or ricer, or squeeze it through cheesecloth. if you want, this can be saved as a standalone syrup at this point, for use in cocktails or desserts. if not, slowly pour the reserved juice through the solids to to help get the remaining syrup out, and squeeze/press again. do the same thing one more time with warm water (roughly the same amount of water as juice). discard solids (or try making sangria with them!).

taste the mixture and add more water if necessary. a stronger mix is totally fine if you anticipate serving over ice on a hot day, or adding booze, or if there was a lot of non-sour fruit. keep in mind that it will taste a bit less sweet once it's chilled. pour into a pitcher and refrigerate.

citrus oils will float to the top, so stir/shake before serving. love you. enjoy.

some tried and true flavor combos:

straight lemon or lime, or any combination of the two, is of course an untouchable classic

lemon & strawberries (that's pussy babe!)

lemon & orange with a hint of vanilla (creamsiclemonade...?)

lemon & apples or apple peels with cinnamon/ginger/allspice (for late summer)

some cocktail type combos, booze optional:

lemon or lime & berries with basil + gin

lime & mint + white rum

lime & ginger + dark rum

lime & cucumber + gin

lime & orange (berries optional) + tequila

I wanted the birds to look like they were actually in the space so first thing after doing the draft was to do a lighting study

after that I covered the walls in letters in lieu of a projector/vr headset bc i have neither of those :) Then i take a picture of the section of wall and superimpose the lineart over top of it so I can pencil in the lines

et voila

GIVE IT UP FOR BIRD NUMBUH 5, THE CANADIAN GOOSE, Branta canadensis!!!!

bird 5/14, Bluejay, Cyanocitta cristata

birds 6 and 7: American Goldfinch, Spinus tristis, male and female

BIRD NUMBER 8, (yellow shafted) NORTHERN FLICKERRRRR, Colaptes auratus

genuinely made me start questioning my sanity around day 3, it's half the size the of the goose, WHY did it take me 4 days to finish??

Not sometimes. Not until the next update. Always. They proved it with math.

Even with perfect training data and unlimited computing power, AI models will still confidently tell you things that are completely false. This isn't a bug they're working on. It's baked into how these systems work at a fundamental level.

And their own numbers are brutal. OpenAI's o1 reasoning model hallucinates 16% of the time. Their newer o3 model? 33%. Their newest o4-mini? 48%. Nearly half of what their most recent model tells you could be fabricated. The "smarter" models are actually getting worse at telling the truth.

Here's why it can't be fixed. Language models work by predicting the next word based on probability. When they hit something uncertain, they don't pause. They don't flag it. They guess. And they guess with complete confidence, because that's exactly what they were trained to do.

The researchers looked at the 10 biggest AI benchmarks used to measure how good these models are. 9 out of 10 give the same score for saying "I don't know" as for giving a completely wrong answer: zero points. The entire testing system literally punishes honesty and rewards guessing.

So the AI learned the optimal strategy: always guess. Never admit uncertainty. Sound confident even when you're making it up.

OpenAI's proposed fix? Have ChatGPT say "I don't know" when it's unsure. Their own math shows this would mean roughly 30% of your questions get no answer. Imagine asking ChatGPT something three times out of ten and getting "I'm not confident enough to respond." Users would leave overnight. So the fix exists, but it would kill the product.

This isn't just OpenAI's problem. DeepMind and Tsinghua University independently reached the same conclusion. Three of the world's top AI labs, working separately, all agree: this is permanent.

Here's a good article explaining why it's all LLMs, not just chatGPT: