MES platforms are essential, but limited without AI. @RetrocausalAI shows how integrating AI copilots into MES can unlock faster decision-making, proactive issue resolution, and smarter operations. https://
buff.ly/dad2VCn #sponsored #retrocausal_iiot #AI #Industry40 #MES
SYSTEMS
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AI Copilots Transform MES for Smarter Industrial Operations
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Grok 4 SOTA avec des scores élevés
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BREAKING : Grok 4 will be SOTA – 35% on HLE, 45% with reasoning
– 87-88% on GPQA – 72-75% on SWE Bench (for Grok 4 Code) * Not official benchmarks, I plotted these based on the leaked scores and results from the web for other models -
IoT Enables Intelligent Automation for Remote and Dangerous Tasks
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By enabling drones, sensors, and AR to assist humans across remote tasks, dangerous inspections, and repetitive operations, IoT shows how thoughtful design can shift from manual intervention to intelligent orchestration. Microblog @antgrasso #IoT #DigitalTransformation
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Tesla vs Waymo: End-to-End vs Modular AI Agent Architecture
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teslas drive an average of 400 miles before they require human intervention. waymos can drive for around 20,000 tesla vision is end-to-end. waymo is a modular system with many components, each an expert at one thing perhaps this tells us something about how to build AI agents
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Production-Ready Multi-Agent AGI Disruption Forecasting Demo
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[ "Production-Grade Demo Design Specification" ] α‑AGI Insight — Beyond Human Foresight [ Abstract: Objective. Deliver a complete, production-ready CLI & web demo of a multi-agent system that forecasts sectoral disruptions driven by artificial general intelligence.
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SNNs and Causal Inference for Performance Attribution
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Their tech stack includes: Spiking Neural Networks (SNNs) for detecting patterns over time Causal inference for pinpointing what caused a result A private compute cluster — not in the cloud — for full control of performance + data All to answer: “What actually worked?”
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Apple monetizes excess cloud capacity for enterprise customers
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Makes sense — if Apple is gonna do Private Cloud Compute for their consumer users, might as well rent out the excess capacity to enterprise
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Collective Mind as Resonance Across Organisms
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I am not sure if I interpret Mike correctly, and I am not sure that he is right. But he seems to understand minds as a vibe across groups of organisms to which individual organisms and cells go into resonance and produce locally intelligent behavior.
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Matching Workloads to Infrastructure: Enterprise AI Strategy
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The panel’s consensus was clear: success requires matching specific workloads to appropriate infrastructure rather than pursuing one-size-fits-all solutions.
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Amdahl’s Law: Limits of Parallel Computing and Sublinear Speedup
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Amdahl’s law gets you there — you can linearly scale throughput on independent tasks, or scale up problems to utilize more parallel resources, but scaling a fixed task across parallel resources always has sublinear speed up. Also significantly more work.