Do Women Really Select For Intelligence?
No, they select assortatively:
Retards ↔ Retards
Mids ↔ Mids
Genius ↔ Genius
One Problem:
Far fewer genius women than men, for this assortative matching
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No, they select assortatively:
Retards ↔ Retards
Mids ↔ Mids
Genius ↔ Genius
One Problem:
Far fewer genius women than men, for this assortative matching
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DoomPosting
Do Women Really Select For Intelligence? No, they select assortatively: Retards ↔ Retards Mids ↔ Mids Genius ↔ Genius One Problem: Far fewer genius women than men, for this assortative matching 🄳🄾🄾🄼🄿🄾🅂🅃🄸🄽🄶
Now here’s a real fun fact, that extremely few have figured out
Assortative mate selection, as happens for many human traits,
— is often quite OPPOSITE of “survival of the fittest”, at the individual level
Not at all selecting “fittest” whatsoever — rather simply selecting someone most like themselves,
which obviously, is quite often opposite of the current environmental optimum
So what is assortative mating optimizing for?
= GROUP survival — rather than INDIVIDUAL survival
I.e. assortative mating MAINTAINS the fat distribution of traits — the tall & short, the tards & big brains — instead of collapsing everyone to the current optimum
Why?
= To maintain the GROUP’s ability to quickly adapt to CHANGING environment,
because the whole range of people with the whole range of traits already exists, allowing instant adaptation of the group as a whole — as opposed to VASTLY SLOWER mating selection-based adaptation
= Assortative mating often does the exact opposite of “survival of the fittest” at the individual level, essentially betting on the environment suddenly drastically changing, such that the currently non-optimal people then thrive
🄳🄾🄾🄼🄿🄾🅂🅃🄸🄽🄶
Assortative mate selection, as happens for many human traits,
— is often quite OPPOSITE of “survival of the fittest”, at the individual level
Not at all selecting “fittest” whatsoever — rather simply selecting someone most like themselves,
which obviously, is quite often opposite of the current environmental optimum
So what is assortative mating optimizing for?
= GROUP survival — rather than INDIVIDUAL survival
I.e. assortative mating MAINTAINS the fat distribution of traits — the tall & short, the tards & big brains — instead of collapsing everyone to the current optimum
Why?
= To maintain the GROUP’s ability to quickly adapt to CHANGING environment,
because the whole range of people with the whole range of traits already exists, allowing instant adaptation of the group as a whole — as opposed to VASTLY SLOWER mating selection-based adaptation
= Assortative mating often does the exact opposite of “survival of the fittest” at the individual level, essentially betting on the environment suddenly drastically changing, such that the currently non-optimal people then thrive
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U.S. auto loan applications are being denied at the highest level in over ten years, per New York Federal Reserve
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DoomPosting
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When you declare nature > nurture a thoughtcrime
Wait, even this guy in the comments is saying it must just be “culture”
Truth has no hope
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Wait, even this guy in the comments is saying it must just be “culture”
Truth has no hope
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Developing: Kingdom of Saudi Arabia is unwilling to prop up the oil market with supply cuts.
Saudis say they can tolerate low oil prices for a long period if necessary. Could suggest a shift towards producing more oil and expanding marketshare.
Crude down 2.71% on the news.
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Saudis say they can tolerate low oil prices for a long period if necessary. Could suggest a shift towards producing more oil and expanding marketshare.
Crude down 2.71% on the news.
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DoomPosting
AI sycophancy problem OpenAI rolled back the latest update that had people furious 🄳🄾🄾🄼🄿🄾🅂🅃🄸🄽🄶
Of course they put lying, sycophantic BS
— In the article they write to address their model’s lying sycophantic BS
OpenAI’s insane models are obviously a reflection of their creator
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— In the article they write to address their model’s lying sycophantic BS
OpenAI’s insane models are obviously a reflection of their creator
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BREAKING: US job openings dropped 288,000 in March, to 7.2 million, the second-lowest level since January 2021.
US available vacancies significantly missed expectations of 7.5 million.
The decline was driven by construction, transportation, private education, and real estate sectors.
As a result, the ratio of job openings to unemployed workers fell to 1.02, in-line with 2018 levels.
Meanwhile, the number of available government vacancies fell by 36,000, to 98,000, the lowest since 2020.
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US available vacancies significantly missed expectations of 7.5 million.
The decline was driven by construction, transportation, private education, and real estate sectors.
As a result, the ratio of job openings to unemployed workers fell to 1.02, in-line with 2018 levels.
Meanwhile, the number of available government vacancies fell by 36,000, to 98,000, the lowest since 2020.
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DeepSeek doing big things
Releases DeepSeek-Prover-V2, an open-source large language model designed for formal theorem proving in Lean 4
“We perform a reinforcement learning stage to further enhance its ability to bridge informal reasoning with formal proof construction. Following the standard training objective for reasoning models, we use binary correct-or-incorrect feedback as the primary form of reward supervision.”
“The resulting model, DeepSeek-Prover-V2-671B, achieves state-of-the-art performance in neural theorem proving, reaching
88.9% pass ratio on the MiniF2F-test and solving 49 out of 658 problems from PutnamBench.”
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Releases DeepSeek-Prover-V2, an open-source large language model designed for formal theorem proving in Lean 4
“We perform a reinforcement learning stage to further enhance its ability to bridge informal reasoning with formal proof construction. Following the standard training objective for reasoning models, we use binary correct-or-incorrect feedback as the primary form of reward supervision.”
“The resulting model, DeepSeek-Prover-V2-671B, achieves state-of-the-art performance in neural theorem proving, reaching
88.9% pass ratio on the MiniF2F-test and solving 49 out of 658 problems from PutnamBench.”
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