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Reflections on AI at the End of 2025
Article URL: https://antirez.com/news/157 Comments URL: https://news.ycombinator.com/item?id=46334819 Points: 47 Comments: 42...
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Synthetic Data Is Not About Replacing Reality. It Is About Questioning It.
A Quiet Moment in Data & Machine Learning The model performs well. The metrics look reassuring. The pipeline feels complete. And yet, something does not sit ri...
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WIRED Roundup: The 5 Tech and Politics Trends That Shaped 2025
In today’s episode of Uncanny Valley, we dive into five stories—from AI to DOGE—that encapsulate the year and give us clues as to what might unfold in 2026....
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Where are investors placing their bets next year? AI, AI, AI.
Investors at TechCrunch Disrupt explained their focus on artificial intelligence and offered advice to founders on how to stand out in a crowded AI field....
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Google releases FunctionGemma: a tiny edge model that can control mobile devices with natural language
While Gemini 3 is still making waves, Google's not taking the foot off the gas in terms of releasing new models. Yesterday, the company released FunctionGemma,...
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Even Google and Replit struggle to deploy AI agents reliably — here's why
2025 was supposed to be the year of the AI agent, right? Not quite, acknowledge Google Cloud and Replit — two big players in the AI agent space and partners in...
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[Paper] Both Semantics and Reconstruction Matter: Making Representation Encoders Ready for Text-to-Image Generation and Editing
Modern Latent Diffusion Models (LDMs) typically operate in low-level Variational Autoencoder (VAE) latent spaces that are primarily optimized for pixel-level re...
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[Paper] Re-Depth Anything: Test-Time Depth Refinement via Self-Supervised Re-lighting
Monocular depth estimation remains challenging as recent foundation models, such as Depth Anything V2 (DA-V2), struggle with real-world images that are far from...
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[Paper] Dexterous World Models
Recent progress in 3D reconstruction has made it easy to create realistic digital twins from everyday environments. However, current digital twins remain largel...
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[Paper] Adversarial Robustness of Vision in Open Foundation Models
With the increase in deep learning, it becomes increasingly difficult to understand the model in which AI systems can identify objects. Thus, an adversary could...
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[Paper] When Reasoning Meets Its Laws
Despite the superior performance of Large Reasoning Models (LRMs), their reasoning behaviors are often counterintuitive, leading to suboptimal reasoning capabil...
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[Paper] Diffusion Forcing for Multi-Agent Interaction Sequence Modeling
Understanding and generating multi-person interactions is a fundamental challenge with broad implications for robotics and social computing. While humans natura...