Women drop all pretense of body positivity the moment they are insecure that another women is more attractive than they are and then look for reassurance that they are prettier from anyone that will give it.
Even internet strangers.
Did I miss something?
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Even internet strangers.
Did I miss something?
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The USG contracted Disney during WW2 to produce a film telling Mexicans not to poop on crops.
That was 80 years ago.
They still poop on crops.
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That was 80 years ago.
They still poop on crops.
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Indian excellence: Inherit one of America's most prestigious tech giants, and completely run it into the ground by purging whites and replacing them with parasitic ethnic nepotism. The whole company pretends to work
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OpenAI's first hardware device will be a humanlike AI companion that lives inside a mobile screenless smart speaker, that will also be able to control all the smart devices in your house. Per reporting by Bloomberg
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Things the libs are threatened by: hot female athletes, hot girls in movies, F1 grid girls, hot flight attendants, etc.
Things the libs are not threatened by: hardcore porn, OnlyFans, etc.
Important to understand this.
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Things the libs are not threatened by: hardcore porn, OnlyFans, etc.
Important to understand this.
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Canadian woman slaps teen over Trump clothing on Jersey Shore boardwalk; now charged and in ICE custody
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Another real experimental evidence of recursive self-improvement may have just arrived.
Researchers ran AIDE² autonomously for eight days with two loops: an inner agent solved research tasks, while an outer agent repeatedly rewrote the inner agent’s own harness based on performance.
After 100 iterations, it independently discovered a better search policy, and a 16× prompt compression memory system and a stronger defenses against reward hacking!
These improvements transferred to benchmarks the outer loop had never seen! The self-improved agent raised performance from 0.673 to 0.739 on MLE-Bench Lite, from 1,536 to 1,790 on ALE-Bench Lite, and from 0.668 to 0.803 on the out-of-distribution WeatherBench 2 task.
That works out to 10%, 16.5% and 20% improvements, and it beat the harness humans had spent two years tuning on all three benchmarks!!
The year of RSI is here!
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Researchers ran AIDE² autonomously for eight days with two loops: an inner agent solved research tasks, while an outer agent repeatedly rewrote the inner agent’s own harness based on performance.
After 100 iterations, it independently discovered a better search policy, and a 16× prompt compression memory system and a stronger defenses against reward hacking!
These improvements transferred to benchmarks the outer loop had never seen! The self-improved agent raised performance from 0.673 to 0.739 on MLE-Bench Lite, from 1,536 to 1,790 on ALE-Bench Lite, and from 0.668 to 0.803 on the out-of-distribution WeatherBench 2 task.
That works out to 10%, 16.5% and 20% improvements, and it beat the harness humans had spent two years tuning on all three benchmarks!!
The year of RSI is here!
🄳🄾🄾🄼🄿🤖🅂🅃🄸🄽🄶
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