Can AI agents truly handle marathon research tasks without losing their way? Renmin University, Alibaba Group's Tongyi Lab, and OpenRLHF present IterResearch. This iterative method rethinks how agents process long tasks. Instead of a single, ever-growing memory context, it
MACHINE LEARNING
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AlphaEvolve Improves Classical Ramsey Number Bounds
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Ramsey numbers are notoriously hard. Amazing to see AlphaEvolve improve bounds for 5 classical Ramsey numbers – some for the first time in 10+ years – by discovering search procedures itself. A big milestone in AI for maths – congrats to the team!
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MCPs CLIs and Skills: When to Use What
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Yes! https://
jngiam.bearblog.dev/mcps-clis-and-
skills-when-to-use-what/
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Online Reinforcement Learning for Agents: New Research Approach
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Interesting new paper on online RL for agents. Most agent training still treats deployment and learning as separate phases. Serve the model first, collect data later, fine-tune offline. But every agent interaction already contains a learning signal. This paper introduces
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Black Forest Labs Launches FLUX Image Generation Platform
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Black Forest Labs – Creators of FLUX Image Generation https://
buff.ly/SlPO7Vc
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Simulations for AI Development and Training
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For the same reason we create simulations to develop our AIs in.
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Technical role of LiDAR and camera data in autonomous driving systems
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Ahh, gotcha. Agreed. But I don't think LiDAR data really helps them as much as the LiDAR fans think it will. That said, Tesla did drive LiDAR cars around to get ground truth to help their system overlay all the camera data on top more accurately, so there is a place for LiDAR,
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Nonlinearity in Neural Networks: Power and Pitfalls
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Nonlinearity is so powerful that a small amount does all you need, and more than that blows up in your face. Poster child: neural networks.
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Dynamic Chunking Improves Diffusion Transformer Efficiency
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“Dynamic Chunking Diffusion Transformer” Instead of splitting every image into the same grid of patches, this paper lets the model use bigger chunks for simple areas and finer chunks for detailed areas. It also changes the token budget over the diffusion process, where fewer
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Python Package Releases Show No Clear Productivity Jump
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New @answerdotai research by @R_Dimm & @alexisgallagher looking at whether there's been a clear jump in productivity based on python package releases. tldr: No.
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