Production intelligence is becoming a competitive edge. What is your read on this? @IIoT_World @CRudinschi @agentic_factory @gp_pulipaka @simonlporter @HaroldSinnott
SYSTEMS
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AI Agents Are Full Tech Stacks Beyond Just LLMs
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AI agents = full tech stacks, not just LLMs. 🧊🤖 Above water: UI + “smart” assistant. Below water: 🧠 models 🕸️ orchestration 🗂️ memory/RAG 🛠️ tools & APIs 📊 AgentOps/observability 🔐 auth & security 🗄️ data + ETL ☁️ infra Great agents are systems + governance + data, not prompts. What layer is hardest for you right now? 👇 #AgenticAI #AIAgents #LLM #RAG #AgentOps
→ View original post on X — @ingliguori, 2026-04-01 17:25 UTC
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Joint IT-OT Ownership Transforms Industrial Operations Risk Management
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Stop asking for buy-in. Start sharing ownership.
— Lucian Fogoros (@fogoros) 1 avril 2026
The OT Veto exists because you're asking plant teams to endorse risks without changing failure consequences. Real IT-OT alignment means joint ownership of outcomes. Partner content with @InfluxDB. #influxdata_iiot #InfluxDB pic.twitter.com/AiPGguigptStop asking for buy-in. Start sharing ownership.
The OT Veto exists because you're asking plant teams to endorse risks without changing failure consequences. Real IT-OT alignment means joint ownership of outcomes. Partner content with @InfluxDB
. #influxdata_iiot #InfluxDB -
Can Turboquant Solve All RAM Memory Problems?
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do you think Turboquant is going to solve all of the RAM problems?
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Tri-System Theory: AI’s Impact on Human Reasoning and Cognitive Autonomy
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Thinking—Fast, Slow, and Artificial: How AI is Reshaping Human Reasoning and the Rise of Cognitive Surrender papers.ssrn.com/sol3/papers.… ✍️Steven D. Shaw & Gideon Nave via @SSRN @Wharton 👉 "We introduce Tri-System Theory, extending dual-process accounts of reasoning by positing System 3: artificial cognition that operates outside the brain" 👉 "System 3 can supplement or supplant internal processes, introducing novel cognitive pathways" 👉 "Across studies, participants with higher trust in AI and lower need for cognition and fluid intelligence showed greater surrender to System 3" 💡 "Tri-System Theory thus characterizes a triadic cognitive ecology, revealing how System 3 reframes human reasoning and may reshape autonomy and accountability in the age of AI" @Corix_JC @ahier @sim010101 @maponi @sallyeaves @CEO_AISOMA @dinisguarda @JagersbergKnut @FernandaKellner @PVynckier @EstelaMandela @sulefati7 @ChuckDBrooks @SusanHayes_ @theomitsa @TarakRindani @FrRonconi @Nicochan33 @JoannMoretti @Khulood_Almani @TheAIObserverX @pchamard @mikeflache @TysonLester @smaksked @amalmerzouk @Analytics_699 @MaryRich78 @NathaliaLeHen @sminaev2015 @WillyRayNick @RLDI_Lamy
→ View original post on X — @sallyeaves, 2026-04-01 13:52 UTC
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Why AI Differs from Internet, Software, and Cloud Computing
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I want to reiterate this point as it is really important to understand WHY AI is not just a continuation of the internet, software, or the cloud. For the last 30 years, we have been conditioned to treat computing as an infinitely scalable, frictionless resource. We are now
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UNS: Centralized Event-Driven Enterprise Data Architecture
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UNS acts as a centralized, event-driven data structure that becomes the single source of truth for the entire enterprise.
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Context Window Limitations in AI Models Explained
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if you go beyond the 256k context window it falls off quite a bit yeah, but default limits that.
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LLMs as CPUs: Statistical Processing and Agent Operating Systems
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LLM = CPU (data: tokens not bytes, dynamics: statistical and vague not deterministic and precise)
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AI Agent Traps: Beyond Prompt Injection to Environment-Level Threats
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AI agents don’t just inherit LLM risks — they amplify them. I came across an interesting paper: “AI Agent Traps.” Most discussions still focus on prompt injection. That’s already incomplete. Because once agents have: – autonomy – persistence – tool access …the attack surface fundamentally shifts. ➡️ The real vulnerability becomes the information environment itself. Everything an agent interacts with can be adversarial: – web pages – emails – APIs – databases All of it can be weaponized. The paper outlines a taxonomy of six adversarial trap classes — from: – hidden prompt injections embedded in content – to systemic risks across multi-agent ecosystems What stands out is the shift from: model-level threats → environment-level threats That’s where most current agent architectures are still underprepared. If you’re building or deploying AI agents, this is worth paying attention to. Paper link : papers.ssrn.com/sol3/Deliver… 🔗 Follow my communities and personal initiatives: • Amazing AI, Data, Quantum Computing & Emerging Technologies — drdebashisdutta.com/ • Research & Innovation – Quantum, AI & Advanced Systems — researchedge.org/ #AIAgents #LLMSecurity #PromptInjection #AgenticAI #AISafety #MultiAgentSystems #CyberSecurity #CyberSecurity
→ View original post on X — @debashis_dutta, 2026-03-31 18:11 UTC