Levin Brinkmann

Levin Brinkmann

@levinbrinkmann.bsky.social

Research Scientist | Max Planck Institute for Human Development | Understanding and shaping the dynamics of the Human-Machine Society

95 followers133 following18 posts

How do social incentives and structures shape AI behavior? How do machines co-evolve with us? Come to figure it out and explore similar questions not yet asked. CogSci, Econ, Physics, CS, Psyc. Everyone here comes from somewhere different, and everyone is kind about it.

Iyad Rahwan | إياد رهوان@iyadrahwan.bsky.social

📣 I am hiring a 𝗣𝗼𝘀𝘁𝗱𝗼𝗰 𝗶𝗻 𝗦𝗼𝗰𝗶𝗮𝗹 𝗥𝗲𝗶𝗻𝗳𝗼𝗿𝗰𝗲𝗺𝗲𝗻𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗛𝘂𝗺𝗮𝗻-𝗔𝗜 𝗛𝘆𝗯𝗿𝗶𝗱 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 📍 Berlin 📅 3-year position 💡 Ideal for researchers with a PhD in Computer Science, Cognitive Science, Applied Math, Physics, etc. and a strong background in AI, RL, and computational social science. Details below

Selective social learning was the mechanism behind this shift. People reliably picked the best demonstrator, so by gen 4 every player culturally descended from a machine. Our work suggests limits: solutions must be hard to discover, easy to transmit and visibly better.

14 of 15 human-only populations never found the optimal strategy. Just 1 of ~600 participants discovered it. Among the 15 human–machine populations, 9 preserved it in every single generation, although the machines were only ever present in generation 0.

Human–machine populations scored higher in every generation after the machines were gone. Their moves also matched machine behaviour far more often. And when asked, participants were able to verbally express the machine-inherited strategy.

Humans avoid these early losses, and hence collectively failed to discover the profitable strategy (with one exception). Our AI model (DQN) on the other hand reliably identified the optimal strategy.

We built multi-generational cultures in the lab. 30 populations × 5 generations × 8 players (n=1,155). In hybrid populations three gen-0 players were machines; controls were human-only. Each generation picks a demonstrator from the last, watches, replays, then solves alone.

We ask participants to traverse a hidden network and collect points. To unlock the highest-paying links participants had to take early losses. Taking these early losses outperformed greedy solutions on average.

We will explores behavioral clones as tools for understanding humans, shaping machine behavior, and powering large-scale social simulation. And discuss the challenges of measuring alignment with human behavior and cognition.

The workshop focuses on machines trained to replicate human behavior, as scientific models of human cognition and action, as tools for large-scale behavioral simulation, and as objects of study in their own right. We invite talks, lightning talks, and posters.

Levin Brinkmann reposted

You sound like ChatGPT -- that is what The Verge said about our recent preprint on how ChatGPT is reshaping human spoken communication. Chatbots are becoming a cultural medium and agent of cultural homogenisation. Is this inevitable, or can model diversity help? www.theverge.com/openai/68674...

theverge.comYou sound like ChatGPTAI isn’t just impacting how we write — it’s changing how we speak and interact with others. And there’s only more to come.

Levin Brinkmann reposted

How does #genAI affect creative professions? Does domain training also provide an #AI edge? In "Expertise elevates AI usage: experimental evidence comparing laypeople and professional artists" we ran controlled tasks w 50 artists + laypeople & a #GPT4o agent: arxiv.org/abs/2501.12374 Results... ⏬

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