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In an infinite data library, AI learns to spend its thinking wisely—prioritizing surprising patterns over common ones, transforming brute-force search into strategic, curiosity-driven discovery.

Artificial Intelligence (AI) pioneer Geoffrey Hinton, winner of the 2024 Nobel Prize for Physics, shared his insights on AI in two recent videos published by The Royal Institution.

Tired of AGI leaderboard illusions? A data scientist reveals the real test: can it invent Bitcoin in 2007, teach quantum physics in Swahili, and know when to ask for help?

Geodesic Inference Control transforms AI: bidirectional least-effort paths via Schrödinger geometry unify reasoning and learning—scalable, hallucination-proof, and decentralized for reliable intelligence.

PGM–HoTT revolutionizes AI: paraconsistent geodesic HoTT extension embraces contradictory identity evidence with graded costs, enabling robust commonsense reasoning under ambiguity and uncertainty via SENF and TransWeave.

MIT creates CRESt platform that uses machine learning, diverse data sources, and robotic testing to speed up finding new materials for energy tech.

We don't know which AI problems are easy and hard. It turns out present-day LLMs can solve the problem of modelling ethical judgments. Ben Goertzel examines LLMs and ethical capabilities, highlighting the need for a hopeful outlook and continued work.

Unlock neuro-symbolic AI's next leap: HMH packs hierarchical structures—roles, fillers, ontologies—into fixed-size hypervectors for ultra-efficient binding, unbinding, and probabilistic reasoning in PRIMUS architectures. Fast, clean, scalable logic meets neural speed.

Converting mental handwriting brain activity into text in one small integrated system

AI researchers claim that they reproduced the core abilities of DeepSeek R1-Zero with open source model TinyZero, for just $30.