Thanks for the clarification! Your analogy about saving the stranger vs saving the dog makes a lot of sense. This is my non-expert POV, but I’ve been wondering if agentic behavior becomes less consistent as systems become more complex and are given more context. And does that
SYSTEMS
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Logistics Automation: Beyond Cost Reduction to System-Wide Effects
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Lower delivery costs sound like pure progress. 10,000+ unmanned vehicles and ultra-cheap last-mile pricing within 30km is impressive. But cost reduction is only one side of the equation. What happens when logistics becomes this cheap? Volume increases. Delivery frequency rises. Urban traffic patterns change. And the system becomes more dependent on continuous, automated flows. There are also practical questions: How do these vehicles perform in dense, unpredictable environments? What happens at scale when edge cases become daily cases? Where does responsibility sit when something goes wrong? Efficiency is real. But so are the second-order effects. The transformation of logistics isn’t just about cheaper delivery. It’s about how systems behave when friction approaches zero. #Logistics #Automation #AI #Innovation #SupplyChain Source 🙏 @sutoroveli_news
→ View original post on X — @mvollmer1, 2026-04-12 09:53 UTC
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Human-Computer Collaboration Beyond Individual Capabilities
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"Beyond what humans or computers can do alone" is exactly the right framing. Not replacement, collaboration.
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Evaluator Override vs Nudge in Planning Systems
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Curious if the evaluator ever overrides the planner entirely or just nudges it Santiago 🙂
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Fewer Layers, Deeper Integration: Architectural Simplification
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fewer layers, deeper integration.
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Smart Sensor Technology: Essential Reading for IoT Professionals
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@IotDesperados @Xavier_Porter1 @PaulFogoros @IIoT_World @CRudinschi @agentic_factory Worth reading for anyone working on smart sensor technology.
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MQTT Limitations for High-Frequency Industrial Sensor Data
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Plants generating thousands of data points per second need message throughput that MQTT cannot provide. The protocol was designed for low-bandwidth IoT devices, not high-frequency industrial sensors.
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MQTT QoS 2 latency bottleneck in industrial sensor networks
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MQTT protocol overhead becomes the bottleneck at industrial scale. Each QoS 2 message requires four network round-trips to confirm delivery, creating latency walls that sensor networks cannot break through.
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MQTT QoS Latency Limits Industrial IoT Sensor Networks
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MQTT QoS 2 with 125ms latency caps at 4 messages per second. QoS 1 caps at 8. For a plant with thousands of sensors updating every second, that math breaks fast. Partner content with @skkynetinc. #HM26 #skkynet_ai pic.twitter.com/20zoDHb79w
— Lucian Fogoros (@fogoros) 11 avril 2026MQTT QoS 2 with 125ms latency caps at 4 messages per second. QoS 1 caps at 8. For a plant with thousands of sensors updating every second, that math breaks fast. Partner content with @skkynetinc
. #HM26 #skkynet_ai -
Incentive Systems and Institutional Control: Economic Power Dynamics
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Yea incentives and system theory I can explain also with this how india got conquered only using indian troops and indian banks by the equivalent of a sociopathic goldman sachs At some point a group of people need to think of the sum of individual actions