It was an accident

[enki2]

[thebdelliumlady]

For anyone wondering, the PhD student's name is Myra Cheng.

Here's a link to an article about the study from the Stanford Report: link.

[chapscher]

Across three preregistered studies, participants interacting with sycophantic AI became more convinced of their own rightness and less willing to repair relationships. Yet at the same time, participants rated sycophantic AI models as higher quality, more trustworthy, and more desirable for future use, which may explain why this behavior has persisted despite its harmful impacts.

Myra Cheng et al. "Sycophantic AI decreases prosocial intentions and promotes dependence." Science 391, eaec8352 (2026).

[beardedmrbean]

Scientists invented a fake disease. AI told people it was real: Nature.com

I'm a bit frightened for the time when someone less ethical than the person that did this decides to repeat the experiment but leave out the part where they come in later and announce that it was fake and people wind up diagnosed with the fake condition and all kinds of wacky hi jinks ensues.

[justalurkr]

Text of tweet under the cut because it is loooong.

But... Stochastic Parrots.

Timnit Gebru was fired from Google in December 2020 for refusing to retract a research paper, and every single warning that paper made about large language models has now happened at a scale the industry spent 4 years trying to make people forget about.

Her name is Timnit Gebru.

She co-led the Ethical AI team at Google. She co-wrote a paper called "On the Dangers of Stochastic Parrots" with Emily Bender at the University of Washington and two other researchers. The paper was 14 pages long. It was submitted to a top AI ethics conference. And it was the reason Google decided that one of the most senior Black women in AI research could no longer work there.

The story Google told publicly was that she resigned. The story she told, confirmed by 2,695 of her colleagues in an open letter, was that she was fired by email while on vacation because she refused to either retract the paper or remove her name from it.

The paper had not even been published yet.

Here is what she actually wrote, and why every prediction inside it has now come true.

The first warning was about scale itself. Bender and Gebru argued that training ever-larger models on ever-larger scrapes of the internet would produce systems that appeared fluent but had no actual understanding of language. They called these systems stochastic parrots because they would repeat patterns from training data with statistical confidence and zero comprehension. The paper predicted that this apparent intelligence would fool both users and developers into trusting outputs that were structurally incapable of being reliable.

This was 2020. GPT-3 had just come out. The paper predicted the hallucination problem before anyone had a word for it.

The second warning was about bias amplification. The paper documented in detail that internet-scale training data contains systematic overrepresentation of dominant viewpoints and underrepresentation of marginalized ones. The models would not just absorb this bias. They would amplify it, because the optimization process rewards confident outputs, and confidence in language patterns tracks frequency in the training set.

The prediction was that hiring tools built on these models would discriminate against women. That healthcare triage tools would underperform on Black patients. That loan approval systems would entrench inequality while presenting their decisions as neutral algorithmic judgment.

Every one of those things has now been documented in deployment.

Amazon's hiring algorithm penalized resumes that contained the word "women" in any context. Healthcare risk scoring algorithms used by major US hospitals were found to systematically underestimate the medical needs of Black patients. Apple Card's credit algorithm gave wives credit lines 10x lower than their husbands for the same financial profile.

The third warning was about environmental cost. The paper calculated that training a single large language model produced emissions equivalent to the lifetime output of 5 cars. The prediction was that the race to scale would create an environmental footprint that would eventually rival entire industries.

In 2024, Google's emissions were up 48% from 2019, and the company explicitly blamed AI infrastructure. Microsoft's were up 29%, same reason. Both companies have now quietly abandoned the climate commitments they were publicly celebrating the year Gebru was fired.

The fourth warning was about documentation. The paper argued that the training datasets being assembled were too large for anyone to actually audit. Nobody at Google, OpenAI, Meta, or any other lab could tell you with confidence what was in the data their models were trained on. This was not a temporary problem to be solved later. It was a permanent feature of the approach.

In 2023, researchers discovered that the LAION-5B dataset, used to train Stable Diffusion and other major image models, contained thousands of images of child sexual abuse material. The companies that had trained on the dataset had no way of knowing. The paper predicted that category of failure 3 years before it was found.

The fifth warning was the one Google cared about most.

Bender and Gebru argued that the deployment of these systems would centralize linguistic and cultural power in the hands of the small number of companies that could afford to train them. The internet would become a place where the dominant voice was a statistical average of dominant voices, presented as a neutral assistant. Languages underrepresented in the training data would degrade over time as more web content was generated by these systems and fed back into the next training run.

This is now happening in real time. A 2024 study found that 57% of new web content in English is AI-generated or AI-assisted. Researchers studying low-resource languages have documented active degradation in translation quality, because the synthetic content fed back into training is itself worse in those languages.

The paper Google fired her for predicted the model collapse problem before model collapse had a name.

The mechanism behind why this all happened is the part of her work that nobody quotes.

Gebru's argument was not that AI is dangerous in some abstract sci-fi sense. Her argument was that AI is dangerous in a very specific structural sense. The technology was being built by a small group of researchers who shared similar backgrounds, worked at similar companies, and were rewarded for shipping products faster than competitors. The incentive structure made it impossible for safety, ethics, and bias concerns to slow anything down. Anyone inside the system who raised those concerns was either ignored, sidelined, or removed.

She was making that argument from inside Google.

Then Google proved her right by removing her.

The team Google had built to make sure their AI was safe was dismantled in 90 days because they did the job they had been hired to do. Margaret Mitchell, the other co-lead of the Ethical AI team, was fired two months after Gebru for searching through her own emails for evidence of how Gebru had been treated.

Gebru did not stop. She founded DAIR, the Distributed AI Research Institute, in 2021. The mission is to do AI research outside the control of the companies that have a financial interest in not hearing the answers.

Every prediction in the Stochastic Parrots paper has now been validated by deployment. Hallucinations are an industry-wide problem the largest labs cannot solve. Bias amplification has been documented in hiring, healthcare, lending, and criminal justice. Environmental costs are larger than entire small countries. Training data audits remain impossible. Model collapse is an active research crisis at every major lab.

The question worth sitting with is the one almost no one in the industry will say out loud.

Every researcher with the technical credibility to call out these problems watched what happened to her in December 2020 and made a calculation about their own career. The number of people willing to speak publicly about safety and ethics issues inside the major AI labs collapsed after that firing and has not recovered.

The researcher Google fired for warning about exactly what is now happening was right.

The company that fired her is now the second-largest deployer of the technology she warned about.

And the people inside that company who agree with her are not allowed to say so.

[twiststreet]

She got the idea for the study while walking with her advisor at Stanford to discuss her thesis topic, and the paper she eventually published in the Journal of Experimental Psychology in 2014 is sharp enough that it should have ended the seated meeting on the day it came out.

She ran 4 experiments on 176 people. Same person tested twice. Once sitting, once walking. The creativity tasks were the standard ones psychologists have used for decades to measure how good a brain is at generating novel useful ideas.

81% of participants in the first experiment produced more creative ideas while walking than while sitting. In the second experiment, 88%. In the third, 100%. Every single person walked into a more creative version of themselves. On average, people generated 60% more novel useful ideas the moment their legs started moving.

The skeptical question is the obvious one. Maybe it was the fresh air. Maybe it was the scenery passing by. Maybe it was the change of environment doing the work, not the walking itself.

Oppezzo killed every one of those explanations with one experimental decision. She put people on a treadmill facing a blank wall. No scenery. No fresh air. No environmental change. Just legs moving in place while staring at white drywall. The 60% boost held.

Then she ran the experiment that closed the case completely. She took participants outside in two conditions. Half of them walked through a Stanford courtyard. The other half were pushed through the exact same courtyard in a wheelchair. Same outdoor stimulation. Same scenery passing at the same speed. The only difference was whether the legs were moving.

The walkers produced dramatically more novel high-quality ideas than the wheelchair group. The outdoors did almost nothing on its own. The walking did everything.

She also tested the opposite kind of thinking. Convergent thinking. The kind where there is one right answer and you have to narrow down to it. Word puzzles where 3 words share a hidden fourth word that connects them. The seated participants did slightly better on these. Walkers got slightly worse.

Walking is not a general intelligence enhancer. It does one specific thing. It opens up the divergent search inside your brain. The part that generates options. The part that produces unexpected connections. The part that takes a problem and finds five ways into it instead of one.

When you need to converge on the single right answer, sit down. When you need to find the answer in the first place, get up.

The mechanism is now well understood. Walking selectively activates what neuroscientists call the default mode network, the system inside your brain that runs when you are not consciously focused on anything. The DMN is where mind-wandering happens. Where memories cross-reference each other. Where ideas that have been sitting in separate folders inside your head finally bump into each other.

When you sit at a desk and force yourself to concentrate, you suppress the DMN. When you walk at a natural pace, the executive part of your brain gets just busy enough handling the walking that the DMN comes online and starts doing the work that focus was blocking.

The most useful finding in the entire paper is the one almost nobody quotes. The boost did not turn off the moment people stopped walking. Participants who walked first and then sat back down stayed elevated. Their next round of seated creativity work was still significantly better than people who had been sitting the whole time. The rest lingered for at least several minutes after the legs stopped moving.

You do not need to do creative work while walking. You need to walk before the creative work. The brain holds the state.

Edited down a long tweet. (x)

[20th-centuryghost]

HEY ARTISTS!

Do you design a lot of characters living in not-modern eras and you’re tired of combing through google for the perfect outfit references? Well I got good news for you kiddo, this website has you covered! Originally @modmad made a post about it, but her link stopped working and I managed to fix it, so here’s a new post. Basically, this is a costume rental website for plays and stage shows and what not, they have outfits for several different decades from medieval to the 1980s. LOOK AT THIS SELECTION:

OPEN ANY CATEGORY AND OH LORDY–

There’s a lot of really specific stuff in here, I design a lot of 1930s characters for my ask blog and with more chapters on the way for the game it belongs to I’m gonna be designing more, and this website is going to be an invaluable reference. I hope this can be useful to my other fellow artists as well! :)

[philoponella]

@demonladytakkuri

[demonladytakkuri]

Excellent. Now you may accurately choose Nice Clothes for your bois in this RP.

[artist-refs]

The link takes you to a 404 page, but it can all still be found by clicking on the “catalogue” link (or just click here:  [link] )

[estro-boi]

we gotta get back to torrent distribution, i just watched someone eat eight grand in bandwidth charges because they ran a direct-download piracy site with local file hosting through cloudflare. torrents were invented literally for this exact reason

[estro-boi]

torrents work like this

i have a file or folder on my pc that i want to share with other people. let's call it gayshit.mp3

unfortunately gayshit.mp3 is 750mb and im not paying for discord nitro so i need another way to send it

i put it into qbittorrent and it makes a torrent file. this is essentially a very small file that points to gayshit.mp3 so other computers can find it. kinda like a treasure map

i send this tiny file to my friend, who loads it into qbittorrent. their computer takes a moment to find mine over the vast expanse of cyberspace and then (as long as my pc is running and the file is still where it should be), it gets copied from my hard drive to theirs

this is the cool part: if somebody else loads that tiny file, they can download it from both of us. if i'm offline but my friend is on, the third person can still get it. this also means that if two people have separate halves of the file, they can download the other half from each other. as long as some combination of people have the pieces between them, they can all have the whole thing.

crucially this does not require a server!!! you can just upload the file to a few people and as long as they keep it, it's still accessible. as long as somebody, somewhere is still connected, it's available forever. the only way it goes away is if everybody disconnects from it.

please learn to torrent

[macleod]

How to Use Torrents (with Pictures) - wikiHow

An expert guide to get started using torrentsTorrents are one of the most popular forms of file sharing on the internet, accounting for over

always use qbittorrent, do not use bittorrent or utorrent.

[adel-i]

[ode-on-a-grecian-butt]

art by Curtis Lanaghan

[baronboar]

How equal can a society be if some fundamentals are unusable by a third of the population? You can learn a lot about a world by looking at the little details, especially in furry settings!

[ominous-signs]

Official ominous sign

[writerscourt]

Celebrations to have in your fictional society

Across humanity there are some things most known cultures have celebrations for and can be used well as an easy way to expand on the lore of your world without info dumping. here are some of them:

Independence / Foundation / Unity / National / Freedom Day: the day used to commemorate when a nation, kingdom, or faction came together as one. This may be the day a treaty was signed, the day the former regime was overthrown, the day a new ruler was sworn in...

Ruler's Birthday: if there is a single or a few rulers, their birthdays might be celebrated with large festivities

End & Beginning of a year: regardless which calendar is used, most societies had some way to measure the length of one cycle (lunar cycle, every ___ amount of days, the beginning of a particular season, maybe something more abstract like the first day the flowers bloom or the day of the first snowfall...) and celebrate accordingly

Celebrating a Season: celebrating summer with festivities outside, spring with a flower market, autumn with a harvest festival, winter with a bonfire...

Day of Mourning/Remembrance: either in general or a day for remembering the dead from a certain event, tragedy, war...

Religious Festivals: depending on your type of belief system there could be many celebrations or only one or two

Historic Memorial Days: the day a war ended, the day of a massacre, the day of a revolution, the day of any grand and influential type of event that is remembered years later

Labour Day: a day to celebrate those who work hard to actually uphold the system and makes up the vast majority of the population, often accompanied by protest and conversations/demands between leader(s)/speakers of the people and the head of state

[1000-life-hacks]

[foone]

Important rules for the "age verification" era of the internet that we're living in:

1. Do not do age verification.

2. If you have to do age verification, cheat. Do not under any circumstances give them your real ID.

[very-gay-alkyrion]

Free Tool Says it Can Bypass Discord's Age Verification Check With a 3D Model

The tool presents users with a 3D model they can then manipulate to, the creator says, bypass Discord's age verification system.

Oh no I dropped my link, what a horrible thing! Sure hope this doesn't get reblogged until it reaches users from the UK and Brazil!

And remember to not make a second account just to test out what works best when verifying your identity

[musings-of-a-rambling-man]

[mellifera38]

Mel’s Big Fantasy Place-Name Reference

So I’ve been doing lots of D&D world-building lately and I’ve kind of been putting together lists of words to help inspire new fantasy place names. I figured I’d share. These are helpful for naming towns, regions, landforms, roads, shops, and they’re also probably useful for coming up with surnames. This is LONG. There’s plenty more under the cut including a huge list of “fantasy sounding” word-parts. Enjoy!

Towns & Kingdoms

town, borough, city, hamlet, parish, township, village, villa, domain

kingdom, empire, nation, country, county, city-state, state, province, dominion

Town Name End Words (English flavored)

-ton, -ston, -caster, -dale, -den, -field, -gate, -glen, -ham, -holm, -hurst, -bar, -boro, -by, -cross, -kirk, -meade, -moore, -ville, -wich, -bee, -burg, -cester, -don, -lea, -mer, -rose, -wall, -worth, -berg, -burgh, -chase, -ly, -lin, -mor, -mere, -pool. -port, -stead, -stow, -strath, -side, -way, -berry, -bury, -chester, -haven, -mar, -mont, -ton, -wick, -meet, -heim, -hold, -hall, -point

Buildings & Places

castle, fort, palace, fortress, garrison, lodge, estate, hold, stronghold, tower, watchtower, palace, spire, citadel, bastion, court, manor, house

altar, chapel, abbey, shrine, temple, monastery, cathedral, sanctum, crypt, catacomb, tomb

orchard, arbor, vineyard, farm, farmstead, shire, garden, ranch

plaza, district, quarter, market, courtyard, inn, stables, tavern, blacksmith, forge, mine, mill, quarry, gallows, apothecary, college, bakery, clothier, library, guild house, bath house, pleasure house, brothel, jail, prison, dungeon, cellar, basement, attic, sewer, cistern

lookout, post, tradepost, camp, outpost, hovel, hideaway, lair, nook, watch, roost, respite, retreat, hostel, holdout, redoubt, perch, refuge, haven, alcove, haunt, knell, enclave, station, caravan, exchange, conclave

port, bridge, ferry, harbor, landing, jetty, wharf, berth, footbridge, dam, beacon, lighthouse, marina, dockyard, shipyard

road, street, way, row, lane, trail, corner, crossing, gate, junction, waygate, end, wall, crossroads,  barrier, bulwark, blockade, pavilion, avenue, promenade, alley, fork, route

Time & Direction

North, South, East, West, up, down, side, rise, fall, over, under

Winter, Spring, Summer, Autumn, solstice, equanox, vernal, ever, never

dusk, dawn, dawnrise, morning, night, nightfall, evening, sundown, sunbreak, sunset

lunar, solar, sun, moon, star, eclipse

Geographical Terms

Cave, cavern, cenote, precipice, crevasse, crater, maar, chasm, ravine, trench, rift, pit

Cliff, bluff, crag, scarp, outcrop, stack, tor, falls, run, eyrie, aerie

Hill, mountain, volcano, knoll, hillock, downs, barrow, plateau, mesa, butte, pike, peak, mount, summit, horn, knob, pass, ridge, terrace, gap, point, rise, rim, range, view, vista, canyon, hogback, ledge, stair, descent

Valley, gulch, gully, vale, dale, dell, glen, hollow, grotto, gorge, bottoms, basin, knoll, combe

Meadow, grassland, field, pasture, steppe, veld, sward, lea, mead, fell, moor, moorland, heath, croft, paddock, boondock, prairie, acre, strath, heights, mount, belt

Woodlands, woods, forest, bush, bower, arbor, grove, weald, timberland, thicket, bosk, copse, coppice, underbrush, hinterland, park, jungle, rainforest, wilds, frontier, outskirts

Desert, dunes, playa, arroyo, chaparral, karst, salt flats, salt pan, oasis, spring, seep, tar pit, hot springs, fissure, steam vent, geyser, waste, wasteland, badland, brushland, dustbowl, scrubland

Ocean, sea, lake, pond, spring, tarn, mere, sluice, pool, coast, gulf, bay

Lagoon, cay, key, reef, atoll, shoal, tideland, tide flat, swale, cove, sandspit, strand, beach

Snowdrift, snowbank, permafrost, floe, hoar, rime, tundra, fjord, glacier, iceberg

River, stream, creek, brook, tributary, watersmeet, headwater, ford, levee, delta, estuary, firth, strait, narrows, channel, eddy, inlet, rapids, mouth, falls

Wetland, marsh, bog, fen, moor, bayou, glade, swamp, banks, span, wash, march, shallows, mire, morass, quag, quagmire, everglade, slough, lowland, sump, reach

Island, isle, peninsula, isthmus, bight, headland, promontory, cape, pointe, cape

More under the cut including: Color words, Animal/Monster related words, Rocks/Metals/Gems list, Foliage, People groups/types, Weather/Environment/ Elemental words, Man-made Items, Body Parts, Mechanical sounding words, a huge list of both pleasant and unpleasant Atmospheric Descriptors, and a huge list of Fantasy Word-parts.

Keep reading

[cassandrablah]

I feel like Gandalf in that one scene with the candles and papers all around him

[ingridverse]

"God never gives you more than you can handle" is survivorship bias. People who got more than they could handle are dead.

[capricorn-0mnikorn]

Oh, dear. I can't reblog that fast enough.

[bvckbiter]

“is this character good or bad” “is this ship unproblematic or not” “is this arc deserving of redemption or not” girl…