It is the greatest shift in history:
artificial language models now produce more content than human beings themselves.
GENERATIVE AI
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Unprecedented shift: AI now produces more content than humans
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WorldGrow: A New AI System for Generative 3D City Modeling
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Not just houses.
WorldGrow generates cities. Urban streets, suburban neighborhoods, consistent architectural styles all trained from UrbanScene3D. It’s the first system that can generate both indoor and outdoor 3D worlds without retraining. -
Breakthrough in Infinite 3D World Generation Using AI
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The big one. 19×39 blocks ~1,800 m² of continuous 3D environment. Left: reconstructed mesh.
Right: fully textured render. It proves you can scale world generation infinitely without collapse or drift. -
WorldGrow Uses Generative AI to Create Coherent Synthetic Environments
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9×9 block layouts, hundreds of rooms, all generated by the model itself.
No manual stitching, no rendering errors. Every corridor connects naturally. WorldGrow makes synthetic worlds that feel lived in. -
WorldGrow Outperforms Generative Models in Continuous Indoor Scene Synthesis
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Here’s where it flexes against SynCity, BlockFusion, DiffInDScene, and TRELLIS. Only WorldGrow generates high-res, continuous indoor scenes with perfect texture alignment. Figure 5 literally shows you the other methods fall apart at the seams.
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Technical Overview of WorldGrow’s Generative AI Pipeline
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WorldGrow’s pipeline works like a growing brain: – Scene-friendly SLAT encodes 3D context
– 3D block inpainting ensures spatial continuity
– Coarse-to-fine refinement keeps global layout + fine detail Each module adds realism while keeping the world endless. -
WorldGrow: A New AI System for Infinite 3D Environment Generation
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Holy shit… this might be the first AI that can literally grow worlds 😳
— God of Prompt (@godofprompt) 28 octobre 2025
It’s called WorldGrow a new system from Huawei & SJTU that generates infinite 3D environments block by block.
No loops. No stitching. Just a single seed expanding into a seamless, photorealistic world.
→… pic.twitter.com/tiGKRncJWGHoly shit… this might be the first AI that can literally grow worlds It’s called WorldGrow a new system from Huawei & SJTU that generates infinite 3D environments block by block. No loops. No stitching. Just a single seed expanding into a seamless, photorealistic world. →
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OpenAI releases GPT-5-oct-3 model update with safety enhancements
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OpenAI released a model update, "gpt-5-oct-3", which maintains a consistent safety level in longer conversations. – Expanded mental health and well-being guidance
– New section: Respect real-world ties
– Clarified delegation in the Chain of Command
– Other minor updates -
On-Policy Distillation: Combining RL Error Correction with SFT Reward Density
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On-policy distillation provides an elegant way to use the teacher model as a process reward model to provide dense reward while preventing SFT style "OOD shock" during rollout. Thinking Machines (@thinkymachines) Our latest post explores on-policy distillation, a training approach that unites the error-correcting relevance of RL with the reward density of SFT. When training it for math reasoning and as an internal chat assistant, we find that on-policy distillation can outperform other approaches for a fraction of the cost. thinkingmachines.ai/blog/on-… — https://nitter.net/thinkymachines/status/1982856272023302322#m
→ View original post on X — @lilianweng, 2025-10-27 17:31 UTC
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Spreadsheets as Solved Problem for AI Financial Services
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The great thing about spreadsheets is they're structured, primarily text based, and often contain verifiable answers. They're on their way to being a solved problem.
— Alex Albert (@alexalbert__) 27 octobre 2025
Very bullish for AI financial products like Claude for Financial Services. https://t.co/RrxWQAO42bThe great thing about spreadsheets is they're structured, primarily text based, and often contain verifiable answers. They're on their way to being a solved problem. Very bullish for AI financial products like Claude for Financial Services.