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GPT and Prejudice: A Sparse Approach to Understanding Learned Representations in Large Language Models

arXiv:2510.01252v2 Announce Type: replace Abstract: As large language models (LLMs) are increasingly trained on massive...

Governance-Aware Hybrid Fine-Tuning for Multilingual Large Language Models

arXiv:2512.17344v1 Announce Type: new Abstract: We present a governance-aware hybrid fine-tuning framework for multilingual, low-resource...

Google’s new AI training method helps small models tackle complex reasoning

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly...

Google’s Jules aims to out-code Codex in battle for the AI developer stack

Google released Jules, its coding agent, into beta as autonomous coding agents are quickly gaining...

Google’s AlphaEvolve: The AI agent that reclaimed 0.7% of Google’s compute – and how to copy it

Google’s AlphaEvolve is the epitome of a best-practice AI agent orchestration. It offers a lesson...

Google’s ‘world-model’ bet: building the AI operating layer before Microsoft captures the UI

Google doubles down on its ‘world-model’ vision, racing to build an AI operating layer to...

Google Researchers Introduce LightLab: A Diffusion-Based AI Method for Physically Plausible, Fine-Grained Light Control in Single Images

Manipulating lighting conditions in images post-capture is challenging. Traditional approaches rely on 3D graphics methods...

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