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Using Local LLMs to Discover High-Performance Algorithms
How I used open-source models to explore new frontiers in efficient code generation, using my MacBook and local LLMs. The post Using Local LLMs to Discover High...
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Stop calling it 'The AI bubble': It's actually multiple bubbles, each with a different expiration date
It’s the question on everyone’s minds and lips: Are we in an AI bubble? It's the wrong question. The real question is: Which AI bubble are we in, and when will...
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The Hidden Opportunity in AI Workflow Automation with n8n for Low-Tech Companies
How to use n8n with multimodal AI and optimisation tools to help companies with low data maturity accelerate their digital transformation. The post The Hidden O...
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Musk wants up to $134B in OpenAI lawsuit, despite $700B fortune
Musk's legal team argues he should be compensated as an early startup investor who sees returns 'many orders of magnitude greater' than his initial investment....
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Discovering Connections: How Claude Code Analyzed 100 Books
Introduction In a world inundated with information, understanding the connections between different pieces of content can be a daunting task. This is particula...
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[Paper] UniX: Unifying Autoregression and Diffusion for Chest X-Ray Understanding and Generation
Despite recent progress, medical foundation models still struggle to unify visual understanding and generation, as these tasks have inherently conflicting goals...
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[Paper] How Long Is a Piece of String? A Brief Empirical Analysis of Tokenizers
Frontier LLMs are increasingly utilised across academia, society and industry. A commonly used unit for comparing models, their inputs and outputs, and estimati...
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[Paper] Do explanations generalize across large reasoning models?
Large reasoning models (LRMs) produce a textual chain of thought (CoT) in the process of solving a problem, which serves as a potentially powerful tool to under...
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[Paper] Building Production-Ready Probes For Gemini
Frontier language model capabilities are improving rapidly. We thus need stronger mitigations against bad actors misusing increasingly powerful systems. Prior w...
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[Paper] ShapeR: Robust Conditional 3D Shape Generation from Casual Captures
Recent advances in 3D shape generation have achieved impressive results, but most existing methods rely on clean, unoccluded, and well-segmented inputs. Such co...
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[Paper] ReScene4D: Temporally Consistent Semantic Instance Segmentation of Evolving Indoor 3D Scenes
Indoor environments evolve as objects move, appear, or disappear. Capturing these dynamics requires maintaining temporally consistent instance identities across...
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[Paper] MetaboNet: The Largest Publicly Available Consolidated Dataset for Type 1 Diabetes Management
Progress in Type 1 Diabetes (T1D) algorithm development is limited by the fragmentation and lack of standardization across existing T1D management datasets. Cur...