In addition to the saved memories that were there before, it can now reference your past chats to deliver responses that feel noticeably more relevant and useful. New conversations naturally build upon what it already knows about you, making interactions feel smoother and
SYSTEMS
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4D Space Optimization: Solving Household Resource Consumption Challenge
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Eminently solvable ops challenge; 4D space is abundant and the amount of cubic meter minutes your household wants to consume are scarce.
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One Agent or Many: Future of AI System Architecture
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Will we have "one agent to connect them all" or "many agents working togethers via A2A/MCP"?
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Agentic Design Patterns: Tool Use, Planning, RAG, Metacognition, Multi-Agent
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Agentic Design Patterns Covered: • Tool Use
• Planning
• RAG (Retrieval-Augmented Generation)
• Metacognition
• Multi-agent systems They don’t just tell you what they show you how. -
AI Agents Explained: From Zero to Production Course
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What even is an AI Agent? Think: • ChatGPT that uses tools
• A system that takes action on your behalf
• Not just “smart”—but goal-oriented This course demystifies agents from zero to production. -
Performance improvements made to AIS system
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We made some performance improvements to speed up AIS, let me check in on this.
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IT-OT Convergence Challenges in Industry 4.0
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Challenges of IT-OT Convergence >> https://
buff.ly/b72X54L #sponsored #hivemq_iiot #Industry40 #IIoT #SmartManufacturing @IIoT_World via @fogoros -
Decentralized Collective World Model for Emergent Agent Communication
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Decentralized Collective World Model for Emergent Communication and Coordination Nomura et al.: https://
arxiv.org/abs/2504.03353 #ArtificialIntelligence #DeepLearning #MachineLearning -
Storage capacity explosion: 70 years of exponential growth
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What a difference 70 years makes: 3.75 MB in 1956 & 1 TB today. v/
@JonErlichman