A new paper proposes neural networks as a hierarchy of learners that update parameters during inference, allowing for continuous learning without forgetting—potentially the "next Transformer" moment. https://research.google/blog/introducing-nested-learning-a-new-ml-paradigm-for-continual-learning/

Continuous Thought Machines (CTM), is an AI model that uniquely uses the synchronization of neuron activity as its core reasoning mechanism, inspired by biological neural networks. Unlike traditional artificial neural networks, the CTM uses timing information at the neuron level that allows for more complex neural behavior and decision-making processes. This innovation enables the model to “think” through problems step-by-step, making its reasoning process interpretable and human-like. Our research demonstrates improvements in both problem-solving capabilities and efficiency across various tasks. The CTM represents a meaningful step toward bridging the gap between artificial and biological neural networks, potentially unlocking new frontiers in AI capabilities.

https://sakana.ai/ctm/

SAM 3 (Segment Anything 3): Scale AI and Meta released SAM 3 for open-source image/video segmentation and 3D reconstruction.

An Open-ended Realistic Simulator for Autonomous Agents in Physical and Social Worlds. These researchers built a Tiny Economy in which different models, participating in a market economy, and challenges to make money, for example with food delivery. Claude and Qwen did pretty well taking a very risky approach, while other models played a more risk averse game, this caused great standard deviation in the results of Claude and Qwen but with high returns.

It's also hilarious to see how OpenAI lost their contract because Qwen and DeepSeek underbid them. https://simworld.org/