PhDissident

Quos Deus vult perdere, prius dementat. Poyo!

[Jake 🇺🇸 @omni_american]

I'd hoped the academic left would learn from the devastation it wrought in 2020 not to be racist anymore, but this new paper exoticizes non-whites, arguing that they experience time differently than whites. People who aren't white have a "cyclical or relational understanding of time" (because people with melanin are all the same, dontcha know) and whites try to "erase" this understanding (of course they do!). In particular, non-whites can't meet deadlines, which are racist.

https://t.co/zatPh8oHRF

[PhDissident @PhDissident]

@thelocksllc @Templarpilled The correct past participle would be "has pled". The Marxist overlords of Wikipedia can't even spell, even as they edit falsity into legitimacy.

[PhDissident @PhDissident]

There is an odd tension here. Taken to its logical extreme, the article argues for all knowledge to be gatekept, as there is little knowledge out there that isn't "dual use". But wouldn't a NYT author also believe in the liberating power of education?

[bayes @bayeslord]

I can’t stop laughing at this

[The Dark Fiddling Pirate Jussim @PsychRabble]

Wow. New preprint (not mine):
" Faculty received an identical CV with only the candidate’s name varying to signal their gender and race, using a 2 Race (Black vs. White) by 2 Gender (male, female) between-subjects factorial design. Results revealed that STEM faculty evaluated female and Black candidates' research record significantly more favorably and recommended them for tenure and promotion at higher rates, compared to male and White candidates with identical CVs."
https://t.co/0calcJpTQl

[PhDissident @PhDissident]

@sgallz_ Anyone who believes men can be women (or vice versa) is unfit for membership in society, much less the Senate.

[PhDissident @PhDissident]

Wonder how Benderian "stochastic parrot" copers are holding up these days. Likely burying their heads in the sand, deterministic ostriches that they are.

[Omri Weinstein @WeinsteinOmri]

Even @OpenAI's recent Erdős breakthrough didn't convince me that LLMs can do general math research. This changed my mind..

Using a clever 'prover-verifier' LLM loop, this harness solved 9 substantial open problems in Theoretical CS, including one that kept me up at night for 2 years.

Incredible work by my former Columbia collaborator @binghuip, @runzhou_tao, Steven Wang & @HantaoYu_Theory.

The plan is to expand this to ALL fields of science. Stay tuned.

[J.K. Rowling @jk_rowling]

Cross sex hormones are not HRT. The clue is in the name. Hormone replacement treatment replaces small amounts of naturally occurring hormones that have diminished with age. Cross sex hormones don’t replace anything. They are intended to disrupt the body’s hormonal balance.

[PhDissident @PhDissident]

@sfmcguire79 Things must be unbelievably bad for them to walk back this failed attempt at "equity".

[John Sailer @JohnDSailer]

NEW: a report from Vanderbilt and WashU just dropped, taking on the "state of scholarship in the humanities and social sciences," a big topic among critics of higher ed.

Read along w/ me 🧵

[PhDissident @PhDissident]

Mass culture really has nothing going for it at the moment. The Internet and social media algos and AI entertainment came to compete at the same time that progressives took over mass media and sucked the soul out of every project, new and old. Let them salt the culture, I guess.

[Rolf Degen @DegenRolf]

Even small sex differences in personality and cognition, when taken together, make it possible to distinguish between men and women with high accuracy.
It has repeatedly been shown that most psychological sex differences are small, with largely overlapping distributions. This study examined whether multiple small sex differences—across cognitive performance, personality traits, and interests—can collectively distinguish between males and females and predict real-life outcomes. Participants (n=2767) completed online tests and questionnaires that assessed cognitive performance, personality, and interest in people and in things.
Results showed sex differences across 13 tasks and questionnaires in the expected directions. Importantly, when combined, these measures correctly predicted whether an individual was male or female in 80% of cases. We found reliable sex differences in all tested domains, with the majority being small, two of medium magnitude (spatial abilities), and one large effect size (interest in things).
Can an 80% classification accuracy in predicting an individual’s sex be considered high? For context, structural MRI scans—when controlling for head size—achieve about 60% accuracy. This suggests that our result is relatively strong. Importantly, even after excluding the three tasks with the largest observed sex differences (i.e., interest in things, mental rotation, and line angle judgment), the model maintained a relatively high classification accuracy of 71%.
This underscores the notion that many small differences can collectively create a large effect. Could the accuracy be improved further? Yes. For instance, predictors that are strongly and directly tied to sex, such as sexual attraction (i.e., the sex one is attracted to) or body morphology), could substantially improve predictive accuracy.
These findings demonstrate how multiple small individual differences can collectively yield substantial predictive power, offering new insight into the underpinnings of gender differences in society. Specifically, we found that these psychological characteristics were meaningfully associated with the degree of gender segregation in the individual’s occupational choices.

[PhDissident @PhDissident]

How much will this DOJ ruling achieve? Unclear.

https://t.co/CyjDftw1Vb

[PhDissident @PhDissident]

Seeing how academics think of their own woes, what they cover up or deflect on. This was a good article, but of course it neglects to mention the screaming issue of race in admissions and faculty hiring (barely touched on in the full report).

https://t.co/UcLZtedVP8

[PhDissident @PhDissident]

I'm not sure what the way forward is for such a captured, but important, industry. I like my colleagues, but many at several institutions should probably be imprisoned for their role in aiding and abetting some of the insanity on university campuses over the last 13 years or so.

[corsaren @corsaren]

So many dumb arguments about AI art stem from a fundamental disagreement about art as a product *of artists* vs. art as a product *for consumers*, between art as a social activity and art as an experiential one, between the intent of the speaker and the effect on the listener.

If you are not interested in the trappings of cultural lineage, if you scorn art history as an idle waste of time, and if, most importantly, you care not for what the particularities of a painting tell you about the peculiarities of the painter, then of course you will have no issue with AI art. You are the glorious consumer, seeking only that which delights his senses, utterly ambivalent to origin or craft. And with AI, you shall finally be freed from the petty demands of labor, who insist you expend precious effort on "being cultured" so as to offer tithings to qualities beyond your immediate perception. At last, technology and capital have conspired to Just Let You Enjoy Things, slop and all.

But, on the other hand, if you claim that AI art is inherently inferior, you will come to find no refuge in idle criticism of appearances. With enough data at one’s disposal every technique can be mimicked, every stroke simulated. The hands will be fixed and the piss stain will fade. If you can describe a flaw, you can test on it, and if you can test on it, you can train on it. That you can spot patterns in the subpixels which act as scarlet letters does not mean that such patterns are the root cause of your disgust. These are mere excuses for your prejudice; to pretend otherwise is ignominious. It's not categorically worse or fatally flawed. There is nothing "wrong" with the art as object; you just don't like its origin. You don’t care for AI art because you don’t care for AI artists. That’s it; the rest is cope.

[𒐪 @SHL0MS]

i just generated an image in the style of a Monet painting using AI

please describe, in as much detail as possible, what makes this inferior to a real Monet painting

[Absyrte @Absyrte]

On par with this

[Aaron Sibarium @aaronsibarium]

NEW: A disabled woman is suing homeless services in Portland, Oregon, after she was denied rent relief due to her low score on the city's race-based prioritization rubric, which awards more points for requesting "culturally specific services" than for having a disability.🧵

[PhDissident @PhDissident]

Seeing the faculty's refusal to reflect on their role in leftist overreach on campus has been blackpilling. Trump and people like him can be in power for 20 years and the University system will still be run by leftists. Grim.