Continuous Thought Machines

Biological brains demonstrate complex neural activity, where neural dynamics are critical to how brains process information. Most artificial neural networks ignore the complexity of individual neurons. We challenge that paradigm. By incorporating neuron-level processing and synchronization, we reintroduce neural timing as a foundational element. We present the Continuous Thought Machine (CTM), a model designed to leverage neural dynamics as its core representation. The CTM has two innovations: (1) neuron-level temporal processing, where each neuron uses unique weight parameters to process incoming histories; and (2) neural synchronization as a latent representation. The CTM aims to strike a balance between neuron abstractions and biological realism. It operates at a level of abstraction that effectively captures essential temporal dynamics while remaining computationally tractable. We demonstrate the CTM’s performance and versatility across a range of tasks, including solving 2D mazes, ImageNet-1K classification, parity computation, and more. Beyond displaying rich internal representations and offering a natural avenue for interpretation owing to its internal process, the CTM is able to perform tasks that require complex sequential reasoning. The CTM can also leverage adaptive compute, where it can stop earlier for simpler tasks, or keep computing when faced with more challenging instances. The goal of this work is to share the CTM and its associated innovations, rather than pushing for new state-of-the-art results. To that end, we believe the CTM represents a significant step toward developing more biologically plausible and powerful artificial intelligence systems. We provide an accompanying interactive online demonstration at this https URL and an extended technical report at this https URL . — Read More

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Aging as a disease: The rise of longevity science

In October, the Roots of Progress Institute organized Progress Conference 2025 to connect people and ideas in the progress movement.

In this dispatch, medical historian Laura Mazer explores the conference’s longevity track, where researchers, economists, and entrepreneurs shared new ways to extend not just lifespan, but healthspan. 

She finds that the frontier of medicine is shifting — from fighting disease to pursuing more life itself. — Read More

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The Network is the Product: Data Network Flywheel, Compound Through Connection

The value of a data product is never contained within its boundaries. It emerges from the number, quality, and friction of its connections, and the signals from its produce. Connectivity is the architecture that turns isolated signals into coordinated intelligence. The mistake most teams make is assuming insight comes from accumulation, when in reality it comes from interaction. — Read More

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