2023 was the year of the chatbot.
2024 was the year of RAG and finetuning.
2025 has been the year of MCP and tool use.
2026 will be the year of the computer environment and filesystem.
MACHINE LEARNING
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Evolution of AI: From Chatbots to Computer Environments
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Fine-tuning and Reinforcement Learning for LLMs Course Launch
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An exciting new course: Fine-tuning and Reinforcement Learning for LLMs: Intro to Post-training, taught by @realSharonZhou, VP of AI at @AMD. Available now at https://t.co/R0m408f8CA.
— Andrew Ng (@AndrewYNg) 28 octobre 2025
Post-training is the key technique used by frontier labs to turn a base LLM–a model trained on… pic.twitter.com/79nnfAc63AAn exciting new course: Fine-tuning and Reinforcement Learning for LLMs: Intro to Post-training, taught by @realSharonZhou
, VP of AI at @AMD
. Available now at http://
DeepLearning.AI. Post-training is the key technique used by frontier labs to turn a base LLM–a model trained on -
IBM SPSS Statistics Named Top 50 Analytics Product by G2
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We're honored that IBM SPSS Statistics was named one of the Top 50 Analytics Product in @G2dotcom’s 2025 Best Software Awards.
— IBM Data, AI & Automation (@IBMData) 28 octobre 2025
Learn how it turns complex data into actionable insights, from forecasting to supply chain efficiency: https://t.co/UnRYbJRSXr pic.twitter.com/YeIS7lner1We're honored that IBM SPSS Statistics was named one of the Top 50 Analytics Product in @G2dotcom’s 2025 Best Software Awards. Learn how it turns complex data into actionable insights, from forecasting to supply chain efficiency: ibm.co/6018Bzp9a
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Humachineology: Designing Human-Machine Integration and Optimization
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Humachineology provides an innovative approach for designing, creating, and optimizing the interaction and integration of humans and machines.
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LFM2-ColBERT-350M Achieves Competitive Inference Speed
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LFM2-ColBERT-350M is also very fast! Its inference speed is on par with GTE-ModernColBERT-v1 (only 150M parameters) for query and document encoding across various batch sizes.
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Autonomous Cleaning Robot: Self-Learning Precision Intelligence
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Un simple descuido puede parecer un desastre… pero no para él.
— Juan Merodio (@juanmerodio) 28 octobre 2025
Este robot detecta, actúa y se perfecciona solo, volviendo a su base para seguir dejando cada rincón impecable.
Porque el futuro no se imagina, se limpia con precisión, inteligencia y elegancia. pic.twitter.com/guh1gnR8XmUn simple descuido puede parecer un desastre… pero no para él. Este robot detecta, actúa y se perfecciona solo, volviendo a su base para seguir dejando cada rincón impecable. Porque el futuro no se imagina, se limpia con precisión, inteligencia y elegancia.
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Technical analysis of data and architectural modules in generative environment modeling
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Shows what happens when you remove key modules. – Without data curation → objects intersect walls
– Without coarse-to-fine → chaotic layouts With both → structured, realistic environments This figure is the mic drop infinite worlds need structured thinking. -
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 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.