Records Directory

The mechanism responsible for high-temperature superconductivity in cuprate materials has been identified.

Electrochemical cells can produce anomalous excess heat that is not fully explained by conventional chemical processes.

Electrochemical cells can produce nuclear fusion reactions at or near room temperature.

AI systems can learn predictive representations of the physical world that support reliable action when the objects, environment, task, or embodiment differ materially from those encountered during training.

Large language models can perform multi-step reasoning that generalises beyond memorised training examples.

Large language models can perform economically valuable knowledge-work tasks with limited human supervision.

Reinforcement learning from human feedback produces AI systems whose behaviour continues to reflect human preferences when deployed beyond the conditions represented in training.

Scaling language model training increases performance on previously unseen tasks without task-specific optimisation.

Artificial General Intelligence will be achieved through scaling current large-language-model architectures.

Capabilities that emerge through scaling language models are explained by the same underlying mechanism across model sizes.

AI-assisted medical diagnosis achieves specialist-level accuracy on defined imaging tasks.

A commercially viable fusion power plant can generate net electricity at grid scale.

A room-temperature superconductor can be produced under reproducible laboratory conditions.

Solid-state batteries can achieve commercially viable energy density, safety, and cycle life for electric vehicles.

Senolytic therapies can meaningfully extend healthy human lifespan.

Epigenetic reprogramming can reverse biological age in living organisms without loss of cellular identity.

A blood-based biomarker panel can reliably predict biological age-related decline before clinical symptoms appear.

A blood-based liquid biopsy can reliably detect cancer before conventional clinical diagnosis.

Quantum annealing systems have demonstrated practical computational advantage over classical methods on commercially or scientifically relevant optimisation tasks.

Fault-tolerant logical qubits can be demonstrated with logical error rates that improve as error-correcting code distance increases.

A quantum computer can factor commercially relevant RSA cryptographic keys faster than any classical computer.

A fault-tolerant quantum computer can execute a practically useful quantum algorithm beyond classical simulation.

A quantum computer has achieved quantum advantage on a practically relevant problem.

Quantum error correction can reduce logical error rates faster than physical error rates increase with system scale.

AI systems can autonomously conduct scientific research that produces novel, correct discoveries.

Quantum error correction can reduce logical error rates below physical error rates in a scalable architecture.

Pressure-quench protocols can stabilise pressure-induced or pressure-enhanced superconducting states at ambient pressure.

Gene-edited porcine kidneys can provide sustained, life-supporting renal replacement in living human recipients with a clinically acceptable burden of rejection, infection and immunosuppression.

A programmable quantum processor has demonstrated computational supremacy — performing a well-defined sampling task beyond the practical reach of any classical computer.