“Negation Neglect: When models fail to learn negations in training” LLMs can understand a disclaimer in-context, but often fail to learn it during finetuning. So when training on documents saying a claim is false can still implant the claim as true. Qwen3.5 belief in
RESEARCH
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PhyMotion: Structured 3D Motion Reward for Physics-Grounded Human Video Generation
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PhyMotion Structured 3D Motion Reward for Physics-Grounded Human Generation
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AI Model Efficiency: Building a Snake Game with Three-Tier Memory
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Nostalgia hit for the millennials: let's build a Snake Game 🐍
— SambaNova (@SambaNovaAI) 15 mai 2026
Watch what happens when you ask an AI model to build something. Three-tier memory moves models and activations across DDR, HBM, and on-chip SRAM to keep inference fast & efficient. https://t.co/F3zKGeG829 pic.twitter.com/sQfQuJC8G7Nostalgia hit for the millennials: let's build a Snake Game Watch what happens when you ask an AI model to build something. Three-tier memory moves models and activations across DDR, HBM, and on-chip SRAM to keep inference fast & efficient. https://
sambanova.ai/blog/why-dataf
low-matters-more-than-ever?utm_source=x&utm_medium=organic&utm_content=blog-announcement
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Technical Survey of Multi-Agent AI Systems and Self-Evolution
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// Beyond Individual Intelligence // One of the more useful multi-agent surveys I've read this year. 200+ papers mapped along three axes: collaboration mechanisms, failure attribution, and self-evolution. The self-evolution chapter is the cleanest field map of where memory,
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Comparison of Agentic Search vs. Vector Search
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Great paper discussing agentic search vs. vector search.
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Vision World Models: The Foundation for Future Immersive 3D Experiences
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Vision World Models are the foundation of what I call the Holodeck. Today they create live 2D videos. Tomorrow immersive 3D experiences. And this is the most complete look at all of them. Good morning!
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Researchers Introduce Laser: A More Efficient Visual Reasoning AI Model
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What if visual reasoning could be 97% more efficient while outperforming top models? Researchers from MBZUAI, Fudan, Renmin, and Harvard introduce Laser. Instead of forcing step-by-step text, it uses “forest-before-trees” reasoning—maintaining a big-picture understanding
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Anthropic Launches AI Fellows Program
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Anthropic has just launched its 4-month Fellows Program. Earn $3,850 per week to break into AI safety research—no prior AI experience required. Anthropic is looking for sharp technical minds to tackle the toughest open challenges in AI safety. The best part? No PhD or published research required.
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Diffusion Models for Text Generation
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A new paper demonstrates how to adapt image diffusion models for text generation using 10 times less data. Researchers have introduced a novel approach to generate text with diffusion models. While diffusion models excel in image and video generation, current state-of-the-art text generation systems still depend on discrete tokens.
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How AI is changing the scientific publication paradigm
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IMHO, the whole notion of an immutable and sacrosanct “paper” as THE main unit of scientific work output has been outdated by at least a few decades. The arrival of AI and knowledge-work-as-a-service is only making this fact more obvious, and in practical terms untenable going
