:::info Authors: Alhussein Fawzi Matej Balog Aja Huang Thomas Hubert Bernardino Romera-Paredes Mohammadamin Barekatain Alexander Novikov Francisco J. R. Ruiz Julian Schrittwieser Grzegorz Swirszcz David Silver Demis Hassabis Pushmeet Kohli ::: Abstract Improving the efficiency of algorithms for fundamental computations can have a widespread impact, as it can affect the overall speed of a large amount of computations. Matrix multiplication is one such primitive task, occurring in many systems—from neural networks to scientific computing routines. The automatic discovery […]

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arXiv:2603.03320v1 Announce Type: new Abstract: Effective communication often relies on aligning a message with an audience’s narrative and worldview. Narrative shift involves transforming text to reflect a different narrative framework while preserving its original core message–a task we demonstrate is significantly challenging for current Large Language Models (LLMs). To address this, we propose a neurosymbolic approach grounded in social science theory and abductive reasoning. Our method automatically extracts rules to abduce the specific story elements needed to guide […]

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arXiv:2604.01359v1 Announce Type: new Abstract: We introduce world-centered multi-agent systems (WMAS) as an alternative to traditional agent-centered architectures, arguing that structured domains such as enterprises and institutional systems require a shared, explicit world representation to ensure semantic consistency, explainability, and long-term stability. We classify worlds along dimensions including ontological explicitness, normativity, etc. In WMAS, learning and coordination operate over a shared world model rather than isolated agent-local representations, enabling global consistency and verifiable system behavior. We propose semantic […]

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arXiv:2603.26790v1 Announce Type: new Abstract: Flow-matching generative models are increasingly used to simulate cell responses to biological perturbations. However, the design space for building such models is large and underexplored. We systematically analyse the design space of flow matching models for cell-microscopy images, finding that many popular techniques are unnecessary and can even hurt performance. We develop a simple, stable, and scalable recipe which we use to train our foundation model. We scale our model to two orders […]

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I’m a D.Eng. student working through Step 1 of the Alberta Plan, implementing IDBD and Autostep in JAX. I believe I’ve run into an interesting finding while testing Autostep on SSH honeypot data. My tests: I’ve been running the algorithms against observations from an SSH Cowrie honeypot. The features I extract from the log data span about 8 orders of magnitude (everything from binary flags to byte counts in the millions). What I found: Autostep’s internal normalization handles […]

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arXiv:2603.25898v1 Announce Type: new Abstract: LLM-assisted modeling holds the potential to rapidly build executable Digital Twins of complex systems from only coarse descriptions and sensor data. However, resilience to LLM hallucination, human oversight, and real-time model adaptability remain challenging and often mutually conflicting requirements. We present three critical design principles for integrating resilience and oversight into such workflows, derived from insights gained through our work on FactoryFlow – an open-source LLM-assisted framework for building simulation-based Digital Twins of […]

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For years, builders in tokenization have been waiting for a decisive signal that traditional finance would not just experiment with private blockchain infrastructure, but integrate with it into decentralized finance. That signal arrived when BlackRock’s tokenized money market fund, BUIDL, began trading on Uniswap through UniswapX in partnership with Securitize. This was not a sandbox pilot. It was a $2.1 billion tokenized US Treasury fund connecting directly to decentralized liquidity rails. The development was reported by Fortune, which […]

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