AI Agents ≠ one LLM They’re multi-layered systems: • General LLMs → reasoning
• Domain LLMs → expertise
• RAG → real-time data
• Tools → execution Real power = orchestration From answers → to actions. Via Giuliano Liguori (
@ingliguori
) #AI #LLM #AIAgents
SYSTEMS
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AI Agents Are Multi-Layered Systems Powered by Orchestration
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Mother Robot Deploys Autonomous Cleaning Robots Across Multiple Floors
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Mother #Robot Debuts: #Autonomous Carrier That Deploys Cleaning Robots Across Multiple Floors
— Ronald van Loon (@Ronald_vanLoon) 4 mai 2026
by @rozetked
#Robotics #EmergingTech #Technology #Innovation #TechForGood pic.twitter.com/ZOOA6iNXlIMother #Robot Debuts: #Autonomous Carrier That Deploys Cleaning Robots Across Multiple Floors
by @rozetked #Robotics #EmergingTech #Technology #Innovation #TechForGood -
New Open-Source Multimodal Agentic RAG with Gemini Embedding 2
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I just built a Multimodal Agentic RAG using Gemini Embedding 2 and Google ADK.
— Shubham Saboo (@Saboo_Shubham_) 4 mai 2026
Any input. Cited answers. Every source visualized in a live 3D embedding space.
100% Opensource. pic.twitter.com/EbPSvPxmLlI just built a Multimodal Agentic RAG using Gemini Embedding 2 and Google ADK. Any input. Cited answers. Every source visualized in a live 3D embedding space. 100% Opensource.
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Unity Catalog and BigQuery Enable Bidirectional Catalog Federation
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Unity Catalog and Google BigQuery now support bidirectional catalog federation, giving customers access to the same copy of data from either platform without duplication or data movement.
— Databricks (@databricks) 4 mai 2026
Unified governance applies consistently across both, deepening the interoperability between… pic.twitter.com/j2g0GAcmMyUnity Catalog and Google BigQuery now support bidirectional catalog federation, giving customers access to the same copy of data from either platform without duplication or data movement. Unified governance applies consistently across both, deepening the interoperability between
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Detecting AI Drift Across Hundreds of Edge Nodes With Intermittent Connectivity
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How do you spot AI drift across hundreds of edge nodes when connectivity is intermittent?
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Governance Frameworks Must Design for Continuous AI Model Updates
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Governance frameworks must assume models need updates, conditions shift, fleets evolve. Design for continuous change rather than treating initial deployment as finished state.
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Model Drift Goes Undetected Without Centralized Monitoring
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Seasonal patterns alter data profiles. Market rules shift. New OEMs join fleets with different protocols. A model accurate in January quietly produces unreliable outputs by June with no centralized dashboard warning.
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Edge AI Governance Needs Fleet-Scale Observability for IIoT
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Edge AI governance needs fleet-scale observability across heterogeneous hardware with intermittent connectivity. Partner content with @IOTechSystems. #iotechsys_iiot pic.twitter.com/7yC16mDKUv
— Lucian Fogoros (@fogoros) 4 mai 2026Edge AI governance needs fleet-scale observability across heterogeneous hardware with intermittent connectivity. Partner content with @IOTechSystems
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Aroma-GPT LLM Applied to Nuclear Reactor Monitoring
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Aroma-GPT: A Large Language GenAI for Nuclear Reactor Monitoring! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming
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OpenBI Solves Generative BI Context Gap With Governed Outputs
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Generative BI doesn’t fail because of models.
It fails because of missing context.
OpenBI solves that. → one standard
→ any platform
→ governed outputs From answers
to certified BI assets.
That’s the real shift Part 4/4 on Generative BI https://
go.kenovy.com/PRbP Meet