Koki Ikeda

@kokiikeda.bsky.social

Research fellow at Meiji Gakuin University in Tokyo. https://sites.google.com/view/dlpsychology/home

Finally, AI finds its ultimate use case. A diffusion model trained on burger recipes "discovers the classic Big Mac without explicit supervision and generates novel burgers optimized for deliciousness, sustainability, or nutrition." ASI= automated slider intelligence www.nature.com/articles/s41...

Generative artificial intelligence creates delicious, sustainable, and nutritious burgers - npj Science of Food

npj Science of Food - Generative artificial intelligence creates delicious, sustainable, and nutritious burgers

nature.com

Bumble bees can apparently play with balls, count, recognize faces, & perceive rhythm. A new study out today in @science.org argues they can also solve novel tasks spontaneously without explicit training, challenging the idea that such cognitive skills are exclusive to large-brained vertebrates.😲🐝🧪👇

Spontaneous problem-solving in bumble bees

Problem-solving using novel solutions without explicit training is often considered a hallmark of cognitive flexibility. We investigated whether bumble bees (Bombus terrestris) could solve a novel obj...

science.org

In the 60s, an eccentric behavioral psychologist named James McConnell pureed a bunch of worms and fed them to other worms. For years after, he claimed that the cannibal worms learned the ground-up worms’ memories. Could he have been… right? www.quantamagazine.org/are-memories...

Are Memories Transferable — or Edible? | Quanta Magazine

In the 1960s, worm-training experiments and their strange implications captivated the nation. Columnist Claire L. Evans follows the neuroscientists who attempted to recapture the magic.

quantamagazine.org

Don't miss out on new replications with the Zotero Replication Checker! This is the current set of >1.6K studies in the FORRT Library of Replication Attempts (#FLoRA). Many of them belong to large-scale projects and are not even cited in the final report, so how to keep track of them?

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The SCORE investigation of repeatability and credibility is a lot. There are a few ways to get your head around it. 1: The Nature collection includes 3 papers from SCORE, an amazing paper from @i4replication.bsky.social and several commentaries about the work. www.nature.com/collections/... 1/

Reliable research in the social and behavioural and sciences

Sweeping new investigations probe the replication, robustness and reproducibility of results across the behavioural and social sciences.

nature.com

SCORE, a collaboration of 865 researchers, is now released as three papers in Nature, six preprints, and a lot of data (cos.io/score/). SCORE examined repeatability of findings from the social-behavioral sciences and tested whether human and automated methods could predict replicability.

SCORE | Center for Open Science

SCORE shows that there is no shortcut to producing credible research findings, and there is no single indicator of trustworthiness. Research progress depends on transparency, rigor, and establishing r...

cos.io

I describe it as such as a historian of disability because I want to remind scientists and the world that the history of science IS the history of eugenics, scientific racism and medical racism, and more. I’m not comforting them with the idea that it was a ‘pseudoscience.’ This is your history.

mataliandy@mataliandy.com · 5mo ago

It's not "race science" it's "unfounded racist scientific-sounding claims promoted by racists." I hate that eugenics is being described as a "science," even by journalists who are against it. WTF?

Three years ago I was wondering whether LLM could act in “social groups” of any sort, and how such networks would resemble real ones. A brilliant student, Nicola Zomer, came to me to ask for a thesis on exactly this question. Today, that work is published in NPJ AI! Paper: rdcu.be/e9gRH 1/🧵🧪

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With Eugene Koonin, we propose a concept of “the selfish ribosome”, under which evolution of life is viewed as a ribosomal takeover, where the ribosome evolved to consume most of the cell’s resources, while other cellular componentry ensures the propagation of the ribosome. arxiv.org/abs/2602.23268

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Bots have made their way to Prolific experiments. Our lab has stopped online testing of adults entirely now for this reason - we want to know if what we study is real. Probably data collected 2-3 years ago are ok, but moving forward we just can't know. www.pnas.org/doi/10.1073/...

PNAS

Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...

pnas.org

How horrible to be a CS grad student under pressure to submit multiple first author papers to every conference deadline, whether they feel ready or not. This serves no one’s best interests in long run (science included). But lots of students appear to being getting advice it’s necessary to compete

Within the topic of AI alignment, there are a million tinier, but consequential, alignment choices. This paper looks at the willingness of AI to engage in scientific misconduct (p-hacking). The most recent AIs resist instructions to p-hack and do good analysis, but the guardrails can be breached.

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New preprint: “A dynamical perspective on biological reproduction” hal.science/hal-05491732 The prevailing view is that an organism reproduces by building a new organism from its genomic representation, like von Neumann’s self-reproducing machine. But... 1/11

A dynamical perspective on biological reproduction

Classically, biological reproduction is explained as the building of a new organism from replicated genomic instructions. The corresponding theoretical model is von Neumann's self-reproducing machine, which relies on an invariant universal constructor that can build any machine from instructions. However, the reproductive incompatibility of species and the diversity of developing processes speak against the existence of a universal constructor. Without a universal constructor, the genome as representation of the organism is circularly defined: what the genome represents is specified by the developmental processes represented by the genome.<p>I propose to take invariant reproduction not as a premise, but as an emergent dynamical property.</p><p>Reproduction is seen as the iteration of a transform that maps one generation to the next, a transform shaped by the genome. Invariant reproduction then occurs when a reproductive sequence converges to a fixed point. A reproductive sequence may also diverge, converge to a cycle (multigenerational life cycle), or to one of several fixed points (non-genomic inheritance). When it does converge, it is necessarily to a stable point, implying that development is robust to perturbations. Finally, speciation can be understood as a process by which reproductive transforms become mutually incompatible, that is, the basins of attractions of the fixed points do not overlap any more. In this view, the genome is an inheritable constraint on development, not a representation of the organism. I suggest that this dynamical framework is a more coherent model of biological reproduction than von Neumann's computational framework.</p>

hal.science

📖 ≠ 🧪 The Story is Not the Science. Code is submitted but rarely executed during peer review—an issue likely to worsen with research agents. 🧑‍🔬 We introduce 𝐌𝐞𝐜𝐡𝐄𝐯𝐚𝐥𝐀𝐠𝐞𝐧𝐭, an execution-grounded evaluation of narrative + execution. 𝐕𝐞𝐫𝐢𝐟𝐲 𝐭𝐡𝐞 𝐬𝐜𝐢𝐞𝐧𝐜𝐞, 𝐧𝐨𝐭 𝐣𝐮𝐬𝐭 𝐭𝐡𝐞 𝐬𝐭𝐨𝐫𝐲. 1/n

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If you tell an AI to convince someone of a true vs. false claim, does truth win? In our *new* working paper, we find... ‘LLMs can effectively convince people to believe conspiracies’ But telling the AI not to lie might help. Details in thread