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JVL

祝日 / Permanent Vacation
dirt enthusiast
2025 on Tumblr: Trends That Defined the Year
DEAR READER
Aqua Utopia|海の底で記憶を紡ぐ
AnasAbdin
Peter Solarz
let's talk about Bridgerton tea, my ask is open

Andulka
noise dept.
we're not kids anymore.
cherry valley forever

@theartofmadeline
Cosimo Galluzzi
RMH
Stranger Things

seen from Hungary
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seen from Hong Kong SAR China

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@glittergluekintsugi

Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
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source
dont trace reference images. dont even LOOK at reference images. in fact, don't ever look at anything that exists in the world, in person or in photos or in videos, even when you're not drawing, because you will still be able to use the memories of what something looks like as a reference when you're drawing it later. yes that includes yourself. destroy all the mirrors in your house. don't look down at your hands or feet. don't look. close your eyes. close them tight. forget everything. it's okay, embrace the darkness. just forget.
[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?

Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
Free to watch • No registration required • HD streaming
[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?
I just laughed for one year watching this. The casual walk-off is just deadly.
i just love him so much
The different poses really got me 😂
studying history is like. here's to another beautiful day of not being pregnant and of having no obligation to ever be. thank you women who fight for abortion and contraception and independance from men for another beautiful day of not being pregnant and of having no obligation to ever be
adult life is truly just thinking “I NEED TO CLEAN” while dealing with the 17 other things that have a hard deadline

Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
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karen trying to get breakfast started that morning
idea from dmthinkr on twitter
May I add some Bloody to your Mary with a dash of Adrian-Simon bestism?
I don't know if you do drawing requests so please ignore me if you dont
But I've seen that a lot of people don't actually know that mike's DND paladin is actually canonically a halfling
So can I stupidly request, that one beautiful bride and the fuckass groom meme, but it's with Will the wise and halfling paladin mike 🙏 or just halfling paladin mike in general please sobbing
this short king and his beautiful wood elf sorcerer baddie
Me, two weeks ago, after watching Project Hail Mary: I mean the movie is good but how is the fandom so big? Not to be shallow but there's no viable ship. How can a fandom survive without shi- HOLY SHIT THAT'S MARKIPLIER

Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
Free to watch • No registration required • HD streaming
fallen angel - iron lung
bloodless version:
Bloodymary on the rock Angsty Poster
Guys, guys, it all makes sense now!! Aka on my third rewatch of phm I noticed a shot that was strikingly similar to a poster... mmmmh...