PUT YOUR BEARD IN MY MOUTH
Aqua Utopia|海の底で記憶を紡ぐ

祝日 / Permanent Vacation
i don't do bad sauce passes
Xuebing Du
Jules of Nature
cherry valley forever

Love Begins

Janaina Medeiros
tumblr dot com
Misplaced Lens Cap

JVL
art blog(derogatory)
noise dept.

izzy's playlists!
d e v o n
2025 on Tumblr: Trends That Defined the Year
Game of Thrones Daily

Kiana Khansmith
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@ureskolasuveg

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first crush
patreon // buy prints here
Going back to my roots with this coloured drawing of Bellatrix. I used to draw these in some really old programme on my really old laptop without a proper pen. Now I’ve got an iPad and Procreate, they do turn out a lot nicer.
So here’s Bellatrix Lestrange 🖤
gold and silver
posting the spotted hyena vision diagram again
real

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Roland Garros 2026, R4. Photographed by: Stephane Mahe
Naomi Osaka and Aryna Sabalenka ended a run of 33 men's French Open night-session matches in a row
For the first time since 2023, the French Open chose a women's match for their primetime night-session spot on Court Philippe Chatrier. Paris, France - June 1, 2026.
I like when an article thumbnail features a pic of a woman conductor, as it is the closest I will get to living in a world where newspapers write feel-good human-interest stories about a local witch who is proud to show off her new spell.
not today...

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this is the greatest story ever told
from Ask a Manager
#there are a lot of good reasons not to use child labor#but admittedly one of them is that children aren’t good at it
⚠️sweetiepie located
I want to go to this exact point and run around it saying “I’m in Sweden!” I’m in Finland!” “I’m in Norway!” until I get tired
i aspire to great things in life
According to Google Maps, that point is in the middle of a small lake.
So we’ll do it in January when it’s frozen.
actually that’s why they’ve helpfully dropped a big-ass cement block with a bridge surrounding it in the middle of the lake: for the express purpose of doing what OP aspires to do
there’s so much beauty in the world.
There’s also a point like this which connects Germany, Belgium and the Netherlands!
They even made a circle there which tells you in which country you are
And the tripoint of Slovakia-Austria-Hungary 👋😊
the tripoint of czechia, slovakia and poland is just A Rock In A Ditch lmao
World is beautiful.
I met some large raccoons tonight. I pressed the crosswalk button, and their studio ghibli asses waited for cars to stop and then crossed the street between the lines like responsible pedestrians. One was missing her tail and limping; from what I could tell, it was an old injury and she's quite elderly (greying!) for a wild animal. Her companion seemed to be looking out for her. Both of them are obviously eating well and understand traffic ettiquette, I think they're doing fine. Probably have tried more varieties of pizza than the average human being.
I'M SO HAPPY -- I just saw these two again on my street! And even better, the older one's limp has improved tremendously :')

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Storm at Saturn's north pole
Credit: NASA/JPL-Caltech/SSI/CICLOPS/Kevin M. Gill
[source]
🚨BREAKING: OpenAI published a paper proving that ChatGPT will always make things up.
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.
Every time ChatGPT gives you an answer, ask yourself: is this real, or is it just a confident guess?
the actual source, because the link is just to the screenshotted tweet:
Like students facing hard exam questions, large language models sometimes guess when uncertain, producing plausible yet incorrect statements