Intellectual hub of the topic
What do city neighborhoods, the placement of cell towers, and classic chess puzzles have in common? They are all problems of domination and packing in graph theory.
Lab
Computer Science
Researchers trained a language model on synthetic languages and found that AI learns some grammatical patterns intuitively, while others it seems to miss entirely.
We explore why the future of AI agents lies not in a single powerful model, but in the coordinated work of specialized systems, each responsible for its own domain.
Lab
Physics & Space • Mathematical Physics
How generalizing classical symmetries via second-rank Lie algebras paves the way for describing complex physical systems – from string theory to gauge fields.
NeuroBlog
The Future & Futurology • Technologies
A brain transplant sounds like a salvation from death, but what if we lose ourselves along with our skulls? We explore why consciousness can't be moved around like a piece of luggage.
Lab
Physics & Space • High Energy Physics
Why do neutrinos have mass, and why is dark matter stable? A new mathematical structure offers a unified explanation by breaking the conventional rules of symmetry.
Lab
Finance & Economics
Research shows that even minimal player rationality – the simple act of avoiding the worst decisions – creates the same computational puzzles as the search for the optimum.
AI: Events
Infrastructure
Why modern AI can't be truly smart without structured data, and how metadata, reference data, and knowledge graphs shape its 'brain'.
Lab
Finance & Economics
Research revealing the conditions under which we can spot different behavioral spikes in society by merely watching general choice statistics.
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