Jaan Aru

@jaanaru.bsky.social

Raising two kids, co-PI-lot of the Natural and Artificial Intelligence Lab & trying to do some funky research on the intersection of neuroscience, psychology and AI. Estonian nail.cs.ut.ee https://scholar.google.de/citations?user=FvFOzS8AAAAJ&hl=en&oi=a

Wholehearted recommendation to listen to @jaanaru.bsky.social on @braininspired.bsky.social ! So much in there about neurobiological theories of consciousness but also about academic freedom and diversity! 🧠🌍🌎🌏🧠

The Transmitter @thetransmitter.bsky.social · 6mo ago

In the latest @braininspired.bsky.social, @jaanaru.bsky.social argues that our brain’s computations are of a different nature than any AI; brains compute across spatial and temporal scales, and the computations are entwined with the biological materials. www.thetransmitter.org/brain-inspir...

"The Self-Evidencing Agent" - my new book - is out now with @mitpress.bsky.social Can be purchased, or just download the whole thing for free, via the 'Open Access' option. I'm grateful to @anilseth.bsky.social and Karl Friston for the generous endorsements. mitpress.mit.edu/978026255389...

The Self-Evidencing Agent

What is it to be a human individual, an agent? According to Jakob Hohwy, it is to “self-evidence,” to actively seek out sensory evidence for one&...

mitpress.mit.edu

If you're interested in consciousness, please check this accepted chapter where I try to confront two major assumptions 1) the NCC is probably some type of pattern of spiking 2) we're close to figuring out the computations underlying consciousness arxiv.org/abs/2506.21485 #consci #assc28 🧵👇

The assumptions that restrain us from understanding consciousness

The science of consciousness has been successful over the last decades. Yet, it seems that some of the key questions remain unanswered. Perhaps, as a science of consciousness, we cannot move forward u...

arxiv.org

Researchers in Estonia created a logic game that requires creating a mental model of a haunted house. It's not easy! Only 31% of humans can solve it. But that's way better than generative AI models. The game is fun, try it via the link below. Whatever we mean by reasoning, this is reasoning.

Graph of data showing 31% humans can solve haunted house task, whereas almost all LLM models score 0%. GPT o3-mini-high scores 10%, Claude 3 Opus scores 5%
Jaan Aru@jaanaru.bsky.social · last yr.

We created the simplest possible scenario for testing the flexibility of world models in LLMs and humans🌍 Your favorite model cannot really solve the game (also tested DeepSeek and O3 mini). If you try hard, you can💪 paper osf.io/preprints/os... game paul-henryp.github.io/hauntedhouse

𝗣𝗮𝗿𝗮𝗹𝗹𝗲𝗹 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝗯𝗿𝗮𝗶𝗻 𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻, 𝗵𝗼𝘄 𝗱𝗼𝗲𝘀 𝗶𝘁 𝘄𝗼𝗿𝗸? Don't expect simple mappings between mind and brain. Check out this piece I wrote for Aeon. aeon.co/essays/how-t...

How the human brain is like a murmuration of starlings | Aeon Essays

The brain is much less like a machine than it is like the murmurations of a flock of starlings or an orchestral symphony

aeon.co

𝗕𝗲𝘆𝗼𝗻𝗱 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀: 𝗧𝗼𝘄𝗮𝗿𝗱 𝗔𝗱𝗮𝗽𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 𝗼𝗳 𝗕𝗶𝗼𝗹𝗼𝗴𝗶𝗰𝗮𝗹 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 How can network science tackle complex biological systems? Substantially reworked version Largely conceptual, would be happy to see others fill in details or collaborate if people find it of value osf.io/preprints/os... #complexity

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I have a post-doc position to study the effect of AI on education. How can we ensure that AI tools enhance natural intelligence? The position is a part of the Estonian Centre of Excellence in Artificial Intelligence. Please repost - not easy to get people to work in Estonia 🥶 #edusky #neuroAI

What's the difference between artificial and human creativity? In this new paper, I also discuss how AI may negatively affect the internal processes of human creativity, such as the development of skills, creative authenticity, and the diversity of ideas onlinelibrary.wiley.com/doi/10.1002/...

Artificial Intelligence and the Internal Processes of Creativity

Artificial intelligence (AI) systems capable of generating creative outputs are reshaping our understanding of creativity. This shift presents an opportunity for creativity researchers to reevaluate ...

onlinelibrary.wiley.com

The issue is perhaps this: biological neurons are cells, artificial neurons are just a piece of code. H1: this difference doesn't matter as all computation is done by weights & spiking patterns H2: this difference matters, as weights & spiking are just one aspect To me, this is far from settled.

Blake Richards@tyrellturing.bsky.social · 2y ago

Why does anyone have any issue with this? I've seen people suggesting it's problematic, that neuroscientists won't like it, and so on. But, I literally don't see why this is problematic...