GPT-5 was connected to an autonomous lab: it designed experiments, the lab executed them, and the results informed the next designs across six iterations. In this setup, GPT-5 designed batches of experiments, the lab executed them, and the data fed back into the next round. We
SYSTEMS
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Building Business-Ready Generative AI Systems Guide
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"Building Business-Ready Generative #AI Systems — Build Human-Centered Generative AI Systems with Context-Aware Agents, Memory, and LLMs for the Enterprise" at http://
amzn.to/3Jdcio5 v/ @PacktDataML Learn:
Implement an AI controller with a conversation AI agent and -
Context Engineering and Memory Models for Multi-Agent Systems
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"Context Engineering for Multi-Agent Systems: Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning" — at http://
amzn.to/448dSiA v/ @PacktDataML 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷:
Develop memory models to retain short-term and -
Architecting AI Software Systems: Designing Scalable AI Integration
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"Architecting AI Software Systems: Crafting robust and scalable AI systems for modern software development" at http://
amzn.to/4oMi9Ag v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Learn to integrate AI with traditional software architectures, enabling architects to design -
NVIDIA and Dassault Systèmes Blueprint Industrial AI World Models
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This is the largest collaboration our two companies have ever had in over a quarter century.” Jensen Huang. At #3DXW26, @Dassault3DS and NVIDIA laid out a blueprint for industrial AI rooted in physics-based “world models” — systems designed to simulate products, factories and
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Physical AI Era: Dassault and NVIDIA Pioneer Virtual Twins
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Physical AI is here. 🤝
— NVIDIA (@nvidia) 4 février 2026
Grounded in physics. Driven by intelligence.
Together, @Dassault3DS and NVIDIA are pioneering a new era of virtual twins that learn, simulate, and evolve.
🔗 https://t.co/SrTMcT6ndb pic.twitter.com/AtTBHFN4MzPhysical AI is here. Grounded in physics. Driven by intelligence. Together, @Dassault3DS and NVIDIA are pioneering a new era of virtual twins that learn, simulate, and evolve. https://
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Industrial Applications Need Combined Approach with Domain Demos and Model-Based Control
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Fully agree that industrial use cases will require some combination of in-domain demos (and model-based / GOFE perception and control elements) for the foreseeable future.
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New Book on Agentic Architectural Patterns and Multi-Agent Systems
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New release from @PacktDataML @PacktPublishing "Agentic Architectural Patterns for Building Multi-Agent Systems: Proven design patterns and practices for GenAI, agents, RAG, LLMOps, and enterprise-scale AI systems" See it at https://
amzn.to/3MaHy8T 𝕋𝕒𝕓𝕝𝕖 𝕠𝕗 -
NVIDIA Partners with Dassault for Industrial AI Platform
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Physical AI is the next frontier of artificial intelligence. Today, we’re announcing a long-term strategic partnership with @Dassault3DS to build an industrial AI platform for next-generation virtual twins. By uniting NVIDIA’s AI and Omniverse platforms with @Dassault3DS
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Robotics and AI at Scale: World Reconstruction and Neural Networks
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Drops plenty of clues about the evolving "robotics + AI at scale" framework, featuring world reconstruction tools, simulators that "dream up" physical interactions, reinforcement learning & core neural-net-driven elements. A car is essentially just another robot. Hence S & X deprecation.
→ View original post on X — @reza_zadeh, 2026-02-03 04:18 UTC