What if robots could train on photorealistic scenes at over 100 frames per second? Researchers from THU, Motphys, Dexmal, and others introduce GS-Playground. It blends 3D Gaussian Splatting with a fast parallel physics engine for vision-rich simulation. Achieves 104 FPS at
RESEARCH
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Second Scaling Law: Thinking tokens boost LLM performance without plateau
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The Second Scaling Law remains undefeated. If you want better hacking (or math, or science, or crossword puzzle solving) out of an LLM, just add thinking tokens. There doesn't seem to be any plateau so far.
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Grok AI’s Advanced Simulation Capabilities Mirroring Human Thought
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Sometimes I'm not even sure. Grok can simulate me better than I can simulate myself. True story, it knows how I think. And much more.
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Revisiting Sparse-Regularized Autoencoders
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Back when we believed deep network pre-training could be achieved using stacked autoencoders trained with group sparsity regularization.
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Benchmarking Performance of GPT-5.5, Claude Opus 4.7, and Gemini 3.1 Pro
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Benchmarking GPT-5.5, Claude Opus 4.7, and Gemini 3.1 Pro! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding
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AI Enhances Accuracy in Nanoscale Protein Motion Tracking
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AI Improves Accuracy in Tracking Protein Motion at the Nanoscale! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
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Making Humans Responsible for AI in Academic Research
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Making humans responsible for their AI use seems like an incredibly reasonable way to address problems & opportunities in the use of AI for academic research, at least in the short term (autonomous scientific work will require different solutions).
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AI detects osteoporosis from retinal images in new study
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Our retina image is so rich with information, a gateway to the whole body, well beyond the eye. Today add osteoporosis to the list. https://
journals.plos.org/digitalhealth/
article?id=10.1371/journal.pdig.0001360&utm_source=pr&utm_medium=email&utm_campaign=plos006
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This adds to what I recently wrote about at Ground Truths https://
erictopol.substack.com/p/the-paradox-
of-medical-ai-implementation
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Traces d’agents auto-améliorants pour modèles
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you talking about how traces of self improving agents can be fed into the retraining of self improving models?
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Testing Higgsfield’s Supercomputer with multi-model routing
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I've been testing Higgsfield's Supercomputer for the past few days, and it genuinely caught me off guard. You type a task in plain language. The system picks from 61 production skills, routes each sub-task to the best available model (GPT-5.5, Claude Opus, Gemini, Seedance, Veo,