Professor of Biological Personality Psychology at the University of Göttingen

Göttingen, Germany
Joined September 2011
NEW PAPER ALERT Online diary study (N=390) confirms general sexual desire increases around ovulation while food intake increases during luteal phase of the ovulatory cycle. Supporting Jim Roney's Motivational Priority Shifts Hypothesis. authors.elsevier.com/sd/arti… #preregistered
2
16
5
61
42,601
New episode (1284), my second interview with Dr. Lars Penke (@LarsPenke). We discuss whether the ovulatory shift hypothesis is supported by the evidence. #evolutionarypsychology #Science YouTube: youtu.be/7DiuuQy-sbM Podcast: bit.ly/3RR9OQU
2
1
5
1,013
Students without access to LLMs are 2 to 8 times more creative than students with access. That is the finding of a new paper comparing 2,200 college admissions essays written by humans before ChatGPT with essays generated by GPT-4. The key point is not individual creativity. GPT-4 can write well, sometimes better than individual students. The problem is collective creativity. Each new human essay added new semantic territory. New ideas. New angles. New experiences. New combinations. Each new GPT-4 essay added much less. The authors call this the diversity growth rate: how much novelty each additional text contributes to the collective pool of ideas. Humans kept expanding the pool. GPT-4 made the pool converge. Even when the authors pushed GPT-4 to be more creative, changed parameters, or used chain-of-thought prompting, the homogenizing effect remained. This is the real danger of AI in education. Not that students will write worse. That everyone will write the same. * Full paper in the first reply
81
652
87
1,908
223,357
The Pope is making exactly our point. LLMs “may imitate or even simulate, but they do not understand.” This is the core epistemic fault line. Most AI evaluation is still based on one assumption: if a system statistically approximates human behaviour, then it is close to human intelligence. But approximation is not intelligence. Simulation is not understanding. LLMs can produce the right answer without knowing why it is right. They can simulate empathy without feeling. They can imitate judgment without responsibility. They can generate coherent explanations without having a world to which those explanations are accountable. Stop confusing behavioural similarity with cognitive equivalence. Human understanding is embodied, affective, relational, motivational, and normative. It is not just the production of plausible text. * Full paper in the first reply
249
1,168
130
4,604
207,426
“Why would natural selection wipe the slate clean of these sex differences in our species alone, only for us to then reinvent the same set of sex differences in every society on record?” stevestewartwilliams.com/p/f…
9
30
1
152
19,554
Already in Rabat, Morocco, and excited for the meetings of the Cultural Evolution Society (#cesrabat2026) and #hbes2026! Will present on Friday at 13:15 on how social attention conveys social status, what that does with people, and what extraversion has to do with it. @hbes2026
4
203
Here's the longer version of our Nature piece. Our argument is simple: statistical approximation is not the same thing as intelligence. Strong benchmark scores often say very little about how LLMs behave under novelty, uncertainty, or shifting goals. Even more importantly, similar behaviors can arise from fundamentally different processes. In another paper, we identified seven epistemological fault lines between humans and LLMs. For example, LLMs have no internal representation of what is true. They often generate confident contradictions, especially in longer interactions, because they do not track what is actually true. Another example. Yes, LLMs have solved some open mathematical problems, but these cases typically involve applying known methods to well-defined problems. LLMs cannot invent anything that is truly new and true at the same time, because they lack the epistemic machinery to determine what is true. None of this means LLMs are useless. Quite the opposite: they are extraordinarily useful. But we should be careful about what they are and what they are not. Producing plausible text is not the same as understanding. Statistical prediction is not the same as intelligence. So despite the hype from the usual suspects, AGI has not been achieved. * paper in the first reply Joint with @Walter4C and @GaryMarcus
80
181
43
761
142,478
Lars Penke retweeted
Why are so many young people single these days? Pooja Arora (@LaulPatricia): So my last question: I wanted to talk about why people are single nowadays. I would have asked about human nature, but that’s for another day. I sent you an article—how do you think common knowledge fits into that area? Why do you think so many youngsters are single? Me: Yes, it’s a good question. I’m not sure that common knowledge is an important part of the answer, but some of it is that women no longer depend on the economic contributions of men for their livelihood, as was true, say, in my mother’s era, when women were not professionally trained. To pay the rent, they had to be married. Now, not only are women better educated, but the economy has shifted to favor the kinds of skills that women, as opposed to men, have. And just as women have been rising, men have been sinking because of the decline in blue-collar work. There have also been cultural trends that favor women’s temperaments. Men have been distracted by internet gaming, gambling, and pornography and are less desirable as marriage partners. Women with more economic power are more likely to raise their standards for what they want in a man. In my parents’ generation, it was not uncommon for a woman to marry a man with much less education and, sometimes, less intelligence. This was not unusual among my parents’ friends. The men often had a high school degree and then went immediately into a small business—sometimes a family business, sometimes one he started himself. The criterion was: does he make a living? No one cared about education. That has changed, with the result that there are fewer men who satisfy the criteria women now have. This was mentioned in the article you shared with me. Also, with more sexual freedom, people don’t have to get married simply to have sex, which was again true in my parents’ generation. There’s a process that has been in place since the baby boomers and has accelerated among millennials and Generation Z. For other reasons, I think a generation of men may also be incapable of socially skilled interaction, partly because they’ve grown up with screens instead of face-to-face contact. There is some fear that a sexual encounter could result in an accusation of rape or sexual harassment. There is so much pornography that, for an increasing number of men, it serves as an outlet for what in the past would have required actual human contact. There are many factors. The article from The Economist lists them, I think, quite skillfully. It’s not clear how to reverse the trend. Increasing the economic prospects of men and creating an educational system that is less feminized and more encouraging of male achievement might help. Another could be changing norms—and here common knowledge comes in. Among women, is it a sign of low status to be with a man who has less education than you? Men, from time immemorial, have been happy to marry women with less education than themselves. Women don't. That immediately reduces the marriage pool. Maybe that’s a norm that could change. Go back to the norm in my parents’ generation? Pooja Arora: No, let’s not do that. Me: Okay, let's not do that. Pooja Arora: We’re happy to marry men who are not as educated as us. It’s fine. They just have to be nice and kind at this point in time. Me: Well, yes—exactly. Nice and kind.
1
72
25
387
89,500
Lars Penke retweeted
The autism epidemic is a myth: The increase is only in expansive overdiagnosis of kids "on the spectrum," e.g. "Would rather be alone than with others,” “Has difficulty making friends,” and “Is regarded by other children as odd or weird.” Severe cases (no language, socially unresponsive, etc.) have decreased. By my former grad student @AdamOmaryPhD washingtonpost.com/opinions/…
861
176
4,864
767,389
😍 Today published in Nature Communications - Biology: "Decoding the Human Brain During Intelligence Testing". 🧠 fMRI Graph Theory + EEG Signal Complexity 🧠 Collaboration with @rexjung AdamChuderski & Jonas Thiele! >> 🙂Open Access: nature.com/articles/s42003-0…
1
9
3
69
7,314
Lars Penke retweeted
Vol 1, Issue 2 of "Intelligence & Cognitive Abilities" is now published. All 8 papers are Open Access (no paywall) with topics including aging, sex differences, evolution, development, molecular biology & more: icajournal.scholasticahq.com….
4
43
4
199
42,409
Lars Penke retweeted
⏰ Friendly reminder! The abstract submission deadline is January 16. Looking forward to seeing your work at #HBES2026 in Rabat 🇲🇦 Don’t miss it! airess.fgses-um6p.ma/hbes202…
3
4
526
Major preprint just out! We compare how humans and LLMs form judgments across seven epistemological stages. We highlight seven fault lines, points at which humans and LLMs fundamentally diverge: The Grounding fault: Humans anchor judgment in perceptual, embodied, and social experience, whereas LLMs begin from text alone, reconstructing meaning indirectly from symbols. The Parsing fault: Humans parse situations through integrated perceptual and conceptual processes; LLMs perform mechanical tokenization that yields a structurally convenient but semantically thin representation. The Experience fault: Humans rely on episodic memory, intuitive physics and psychology, and learned concepts; LLMs rely solely on statistical associations encoded in embeddings. The Motivation fault: Human judgment is guided by emotions, goals, values, and evolutionarily shaped motivations; LLMs have no intrinsic preferences, aims, or affective significance. The Causality fault: Humans reason using causal models, counterfactuals, and principled evaluation; LLMs integrate textual context without constructing causal explanations, depending instead on surface correlations. The Metacognitive fault: Humans monitor uncertainty, detect errors, and can suspend judgment; LLMs lack metacognition and must always produce an output, making hallucinations structurally unavoidable. The Value fault: Human judgments reflect identity, morality, and real-world stakes; LLM "judgments" are probabilistic next-token predictions without intrinsic valuation or accountability. Despite these fault lines, humans systematically over-believe LLM outputs, because fluent and confident language produce a credibility bias. We argue that this creates a structural condition, Epistemia: linguistic plausibility substitutes for epistemic evaluation, producing the feeling of knowing without actually knowing. To address Epistemia, we propose three complementary strategies: epistemic evaluation, epistemic governance, and epistemic literacy. Full paper in the first reply. Joint with @Walter4C & @matjazperc
217
1,249
163
4,440
660,752
Many people think of the genome as a string of "letters." The human genome, say, has 3.2 billion base pairs of DNA organized across 23 pairs of chromosomes. But the genome is a 3D object. Genes located on entirely different chromosomes might be clustered together. Mutations in these "distant" genes can lead to disease in surprising ways. For a new paper in @Nature, researchers released several "maps" of human genomes from two types of cells: embryonic stem cells and fibroblasts. They compared methods to see which ones are least biased, and found many long-range interactions between genes. The article does a good job explaining how “the genome is organized at different scales”: > On a single chromosome, histones control which parts of the DNA sequence are accessible and expressed. > At the scale of hundreds of thousands of bases, “chromatin loops in a dynamic manner,” the authors write, bringing distant genes closer together. > Across chromosomes, sequences "cluster together in space to form subnuclear compartments." Examples abound. Enhancers, for example, are short DNA sequences that regulate the expression of far away genes. They do this by *physically* touching the genes they control; a protein called cohesin grabs the DNA and tugs it into big loops. Even promoters, which are thought of as being associated with one gene or operon, can cluster together across many genes! A protein, Ronin, grabs promoters and pulls them together. This is apparently done mostly for genes that tend to be "on," as it helps enzymes find genes faster/not have to diffuse far away to find targets. (This also happens with genes that tend to be "off;" so-called polycomb proteins grab onto promoters, cluster them up, and silence all of them at once. It's a way for the cell to conserve energy.) One consequence of this spooky "action-at-a-distance" is that diseases might arise from mutations in unexpected locations. Editing these regulatory sequences, in other words, might in turn affect a gene located on an entirely different chromosome that *is* associated with that disease. Genetic mutations linked to autism, for example, are known to disrupt the 3D organization of the genome. A single deletion at a gene, TAL1, also affects its ability to form long-range chromatin interactions with other genes, leading to leukemia. There are probably many other, as-yet-undiscovered, instances of this.
22
202
18
905
109,240
Me: I try to look at data and trends rather than headlines, because headlines can give you a misleading picture of the state of the world. Something goes wrong every day — that’s guaranteed — and if you just look at something goes wrong and say, oh, things are getting worse, you might be forgetting all the things that went wrong in the past. Andrew Marr: And what we call the news is a long litany of all the things that are getting worse or going wrong. Me: Well, yes, it’s much easier for something bad to happen suddenly than for something good to happen. Good things either creep up on you a few percentage points a year, and sometimes can compound. So the fact that, for example, extreme poverty in the world has been declining and a billion people have escaped extreme poverty over the last 30 years — but not on Thursday — so it was never an event from the news. One of the biggest events in human history is something that most people have never even heard of. @AndrewMarr9 @LBC
168
28
820
101,005
Matt Ridley dispels the myth that Jim Watson stole Rosalind Franklin’s famous “Photo 51”. Photo 51 was Ray Gosling’s. Watson didn’t steal it, Wilkins showed it to him. Franklin was badly wronged: her institute banned women from commonroom & deprived her of collegial discussion spectator.co.uk/article/who-….
70
202
29
1,388
204,175
For all his faults, not least a perverse delight in shocking people, Jim Watson was a brilliant scientist.
241
143
56
2,457
287,973
Nobody should be surprised by this. A hyperfocus on emotions makes emotional regulation more difficult. Mental health awareness training in schools is a fraud & simply creates one giant Longhouse.
48
220
40
1,135
99,228
I think the philosopher Dan Williams has it right: Social media are not destroying democracy, but reinforcing its worst feature. Elite gatekeeping, an accident of expensive media channels, bundled access with at least minimal standards of truth-seeking. Open them up, and you get epistemic chaos. "Most voters are shockingly ignorant and misinformed, with many approaching politics more in the manner of sports hooligans and religious fanatics than the rational deliberators of liberal fantasies." conspicuouscognition.com/p/i…
1
157
27
648
74,719