is this an aesthetic

im 24 and i use this site to waste my time

[laromp3]

Sunlight - Hozier

[chillyfeetsteak]

i gave the venus of willendorf a brewski

[verins-little-notebook]

venus of chillendorf

[veryluckyclovers]

[deadelated]

(maintenance light that appears to depict a child hugging their mother illuminates on my car's dashboard) oh that one just comes on sometimes, not sure what it is

[violetqueenofwands]

[petaltexturedskies]

Rainer Maria Rilke, Letters to Merline: 1919-1922

[bluebdger]

[alisonzai]

[cuttledreams-bugs]

Finally drew the Bugs ✨ (plus a few friends)

[fortuneaday]

[that-edm-life]

[chokkilissa-nahollos]

im the dj screaming w laughter

[bienergy-deactivated20180719]

I think about this at least once a day.

[clowncarpool]

cheese sits on the toilet while we take showers, and i like to stand on my tip toes and draw his silhouette in the steam from a high angle, then stand back to see how warped it is from his actual shape

oil and acrylic on masonite

[kosmogrl]

[klfg]

[source]

[klfg]

🚨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?

[flikkerij]

i will do ANYTHING but work on my essay apparently

[semutamusic]

[bowserkillmybusdriver]

I Wish I Could Become Human Once More So That Jesus Might Absolve Me, Wash The Blood From My Hands, Remove From My Soul That Sin I Sought So Fervently

[microwavingmyfavs]

ATTENTION TUMBLR

CHOCOLATE GUY'S BIRTHDAY IS IDES OF MARCH

[tracing-rivers]

[graceandtheidiotsquad]

Memes aside-HAPPY BIRTHDAY CHOCOLATE GUY!

[cat-that-ignored-you-offical]

happy birthday chocolate guy