· ai
No, you can’t get your AI to ‘admit’ to being sexist, but it probably is
Though LLMs might not use explicitly biased language, they may infer your demographic data and display implicit biases, researchers say....
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Metric Deception: When Your Best KPIs Hide Your Worst Failures
of Green Dashboards Metrics bring order to chaos, or at least, that’s what we assume. They summarise multi-dimensional behaviour into consumable signals, clic...
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Most Developers Call AI Data With APIs and A2A
A recent Theory Ventures survey found that 91% out of 413 senior technical builders surveyed are either directly building AI, The post Most Developers Call AI D...
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How to Scale Your LLM Usage
has perhaps been the most important word when it comes to Large Language Models LLMs, with the release of ChatGPT. ChatGPT was made so successful, largely becau...
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[Paper] Video-R2: Reinforcing Consistent and Grounded Reasoning in Multimodal Language Models
Reasoning over dynamic visual content remains a central challenge for multimodal large language models. Recent thinking models generate explicit reasoning trace...
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[Paper] Video-CoM: Interactive Video Reasoning via Chain of Manipulations
Recent multimodal large language models (MLLMs) have advanced video understanding, yet most still 'think about videos' ie once a video is encoded, reasoning unf...
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[Paper] Thinking by Doing: Building Efficient World Model Reasoning in LLMs via Multi-turn Interaction
Developing robust world model reasoning is crucial for large language model (LLM) agents to plan and interact in complex environments. While multi-turn interact...
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[Paper] AnyTalker: Scaling Multi-Person Talking Video Generation with Interactivity Refinement
Recently, multi-person video generation has started to gain prominence. While a few preliminary works have explored audio-driven multi-person talking video gene...
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[Paper] SmallWorlds: Assessing Dynamics Understanding of World Models in Isolated Environments
Current world models lack a unified and controlled setting for systematic evaluation, making it difficult to assess whether they truly capture the underlying ru...
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[Paper] The Price of Progress: Algorithmic Efficiency and the Falling Cost of AI Inference
Language models have seen enormous progress on advanced benchmarks in recent years, but much of this progress has only been possible by using more costly models...
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[Paper] Object-Centric Data Synthesis for Category-level Object Detection
Deep learning approaches to object detection have achieved reliable detection of specific object classes in images. However, extending a model's detection capab...
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[Paper] Physics-Informed Neural Networks for Thermophysical Property Retrieval
Inverse heat problems refer to the estimation of material thermophysical properties given observed or known heat diffusion behaviour. Inverse heat problems have...