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Tied Low Ⓜ
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You’re actually showing the real reason why the birth rate is low without even realizing it
kira 👾@kirawontmiss
It’s crazy how low Korea’s birth rate is when even the average woman there looks like this
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i’d hope so nigga, her dad is the lebron of music and her mom is the lebron of hoes 😭
ManuWay@ManuWayy
Grammy nominated streamer PlaqueboyMax’s album has been out streamed by 12-year-old North West😳 First day streams: 389K: n0rth4evr 342K: CRASH DUMMY
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Bitches hit 30 years old and start making hostage demands
Deevo 🏆@QueDeevo
India Love says she’s waiting on a man that will put 5 babies in her, and says he needs to at MINIMUM give her a $100,000 per month allowance 😬 "I need to get married with kids soon, I'm pushing 40"
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Euphoria fans are up there with jjk fans with not knowing their source material
gia@imincats
siento que si nate se hubiera quedado con maddy, ella lo hubiera ayudado a construir sin exigir lujos fuera de la realidad, hubieran crecido juntos y tendrían solvencia económica
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He said my girl’s pussy is the most edible out there. He said he’s eating Wagyu pussy, grass fed, free range
Bryan Johnson@bryan_johnson
This is her vaginal microbiome report. 100/100 score. Top 1% of all vaginas. Her sample is dominated by the single most protective bacterial species a vagina can host (Lactobacillus crispatus). Only about 25-30% of reproductive age women globally are L. crispatus-dominant, and “dominant” usually means above 50%. Kate is at 98.7%. The lab found nothing bad to report. (no gardnerella, Candida, STIs, opportunistic pathogens, aerobic vaginitis markers, etc.) This is linked to lower risk of BV, UTIs, yeast infections, HPV persistence, HSV-2 and HIV acquisition, preterm birth, and improved IVF outcomes. A vaginal microbiome is downstream of everything: sleep, glucose control, stress, gut health, sexual health, immune function, what you eat, and what you put in it.
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RESEARCHERS JUST BUILT AN AI MODEL TRAINED ONLY ON TEXT FROM BEFORE 1931
it's called talkie. 13 billion parameters, trained exclusively on text published before december 31, 1930
its worldview is completely frozen in time
the reason this matters: every major AI model today (GPT, claude, gemini, llama) was trained on the modern web.
that makes it almost impossible to tell if these models actually reason or if they just memorized the answers from their training data
talkie breaks that completely because it has never seen any modern information
the crazy part:
talkie can learn to write python code from just a few examples you show it in the prompt. despite having ZERO modern code in its training data.
it's figuring out programming from 19th century mathematics texts. that's ACTUAL reasoning
claude sonnet 4.6 was used as the judge in talkie's reinforcement learning pipeline. claude opus 4.6 generated the synthetic conversations used in fine tuning. a modern AI was used to train a model that's supposed to be frozen in 1930
the team already flagged this as a contamination risk they want to eliminate in future versions
what they're using it to study:
> long range forecasting. how well can a model "predict" the future from a frozen vantage point
> invention. can it develop ideas that didn't exist until after its knowledge cutoff
> LLM identity. what makes a model itself vs what's just patterns absorbed from the web
alec radford built this. the same guy behind GPT, CLIP, and whisper
both models are open source on hugging face.
they're already planning a GPT-3 scale vintage model later this year
an AI that has never seen the modern world can still reason its way to writing code.
THAT alone tells you more about intelligence than any benchmark ever will
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