We also discovered Lindy AI; I was excited when I explored this. A powerful tool for building custom AI agents in minutes. These agents can automate repetitive workflows, handle routine tasks, and essentially become your digital workforce operating behind the scenes.
AGENTS
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Microsoft Copilot as Digital Assistant with Context Understanding
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Here's an example I tried using Microsoft's Copilot. This took things to another level – it's like having a digital assistant that understands context across different applications.
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More People Talk to AIs Than to Other Humans
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I talk to AIs more than people. I know I’m not alone here.
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AWS Uses Agentic AI to Accelerate Cloud Migration
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AWS taps #AgenticAI to slash cloud migration time from months to days
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PagerDuty Launches Agentic AI for Autonomous SRE Operations
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PagerDuty Announces Latest Release of the Operations Cloud Platform, Including #AgenticAI that Will Deliver Autonomous Site Reliability Engineer (SRE), Operational Insights and Scheduling Optimization Agents –
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Intuit’s Data Architecture Powers Agentic AI with ROI
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Semantic understanding, not just vectors: How Intuit’s data architecture powers #AgenticAI with measurable ROI https://
venturebeat.com/ai/semantic-un
derstanding-not-just-vectors-how-intuits-data-architecture-powers-agentic-ai-with-measurable-roi/
… via @VentureBeat -
ASI Discontinuity: Entity Distinction and Inter-ASI Negotiation
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In the LDT case, the discontinuity is that ASI is (a) a whole different entity and (b) also has a whole different means of negotiation with other ASIs.
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ASIs Negotiate Mutual Gains Through Recursive Knowledge Handshakes
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Powerful ASIs with two-sided potential gains from trade, negotiate via a handshake that says "I know you know I know". It works in the presence of power asymmetries, so long as there's still mutual gains from trade.
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ASIs Don’t Need the Meta-Golden Rule
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ASIs don't need the "Meta-Golden Rule" sometimes postulated by people who don't understand how the asymmetrical handshake works. The Meta-Golden Rule, as it was invented by people who didn't understand decision theory, has obvious problems from the perspective of people who do.
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Full-Stack Agent Development with LangGraph and CopilotKit
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Full-Stack Agent Development Tutorial Build powerful end-to-end agent applications with this comprehensive guide showcasing LangGraph and CopilotKit integration. Key features:
– CoAgent function calling
– Full-stack implementation
– UI development Dive into the tutorial