The 6 Defining Manufacturing Trends Of 2026 #Manufacturing transforms from Industry 4.0 fascination to practical human-machine collaboration in 2026, with #AIagents autonomously managing factory operations while generative design moves from #prototype to #production. The
MACHINE LEARNING
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The Future of Intelligence Through Evolutionary Perspective
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What is the future of intelligence? The answer could lie in the story of its evolution. Nice essay by @blaiseaguera published in @Nature
. Essay: https://
nature.com/articles/d4158
6-025-03857-0
… Some nice ideas in the piece: “Hunting is a prime example of this predictive modelling. A predator must -
3D Rubik’s Cube Solver Comparison
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Gemini 3 (left) vs. ChatGPT 5.1 vs. Claude Opus (right)
— God of Prompt (@godofprompt) 28 novembre 2025
Prompt:
Create a single HTML file containing a fully functional 3D Rubik's Cube simulation using Three.js (via CDN). The cube must be able to automatically solve itself. pic.twitter.com/l1AWN4uziEGemini 3 (left) vs. ChatGPT 5.1 vs. Claude Opus (right) Prompt:
Create a single HTML file containing a fully functional 3D Rubik's Cube simulation using Three.js (via CDN). The cube must be able to automatically solve itself. -
Video Models Zero-Shot Visual Reasoning Capabilities Study
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Are current video models ready for zero-shot visual reasoning? A comprehensive empirical study on Veo-3 across 12 reasoning dimensions shows a mixed picture. These models handle short-horizon spatial coherence, local grounding, and simple dynamics, yet fail on long-horizon
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Maya Man’s StarQuest: AI art project exploring imitation learning and dance
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Artist Maya Man describing her fantastic new art project StarQuest, a meditation on AI and imitation learning (based on her personal childhood experience with competitive dance):
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Latent Process Planning: 6K Parameters Matching 100M Model Capability
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A latent process that operates over plans? I've been working on this recently! What's most fascinating to me: my 6k parameter system can match aspects of models 100,000x bigger. Scaling laws apply very differently too…
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NVIDIA Research: Efficient AI Beyond Model Scaling
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Banger paper from NVIDIA. Bigger models aren't always the answer. However, the default approach to improving AI systems today remains scaling up. More parameters, more compute, more cost. But many tasks don't require the full power of a massive model. This new research
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General Agentic Memory Via Deep Research Study
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General Agentic Memory Via Deep Research Yan et al.: https://
arxiv.org/abs/2511.18423 #ArtificialIntelligence #DeepLearning #MachineLearning -
Video-As-Prompt: Semantic Video Generation Without Retraining
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What if video generation could follow any semantic instruction without retraining or task-specific hacks? Enter Video-As-Prompt (VAP). By treating a reference video as an in-context semantic prompt and steering a frozen DiT with a plug-and-play MoT expert plus temporally
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DeepSeek-Math-V2 Achieves Self-Verifiable Mathematical Reasoning
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DeepSeek just released DeepSeek-Math-V2! DeepSeekMath-V2: Towards Self-Verifiable Mathematical Reasoning It shows LLMs can now self-verify proofs, not just output solutions. DeepSeekMath-V2 achieves gold-level IMO 2025, CMO 2024, and 118/120 Putnam 2024, pointing to a future of