Agentic AI = a stack, not a feature. LLMs (core intelligence) Agents (planning, memory, tool use) Multi-agent systems (coordination, routing, RAG) Infrastructure (security, logging, retries, cost control) This is how AI moves from answers → autonomous outcomes.
@ingliguori
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AI 2027 Scenario: From Basic Agents to Superintelligence
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From Agent-1 to Superintelligence: The AI 2027 Scenario The AI 2027 Report outlines one of the most thought-provoking trajectories for artificial intelligence: a rapid evolution from simple assistants (Agent-1) to autonomous, adversarially misaligned systems (Agent-4) and
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AI Exceeds Humans in Technical Tasks, Humans Lead in Multimodal Reasoning
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AI now exceeds human performance in most technical tasks — but humans still lead in multimodal reasoning The next frontier isn’t about replacing humans, but amplifying how we think across data, images & language. Source: Stanford AI Index 2025
#AI #Innovation #FutureOfWork -
20 Must-Try AI Tools for 2025: Complete Stack Guide
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20 must-try AI tools for 2025. This stack covers everything: chat & reasoning image gen video gen voice/music AI search automation AI agents My top 3 right now: ChatGPT, Perplexity, Midjourney. What are yours? #AI #AITools #GenerativeAI #Automation
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Huawei 2025 Innovation Forum Highlights Top Ten Inventions
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The 𝗛𝘂𝗮𝘄𝗲𝗶 𝟮𝟬𝟮𝟱 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 & 𝗜𝗻𝘁𝗲𝗹𝗹𝗲𝗰𝘁𝘂𝗮𝗹 𝗣𝗿𝗼𝗽𝗲𝗿𝘁𝘆 𝗙𝗼𝗿𝘂𝗺 once again underlined how openness in IP and sustained R&D investment can unlock the next wave of digital innovation. Among the Top Ten Inventions presented this year is the
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15 Key Architectural Characteristics of AI Agents Mind Map
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Just shared this brilliant mind map on the 15 key architectural characteristics of AI agents — absolutely packed with insights! Modularity, evolvability, context awareness, security compliance… everything you need to design robust agents. Huge thanks to @Python_Dv for creating
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Generative AI Tech Stack Framework for Autonomous Agents
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The Generative AI ecosystem is evolving into a full tech stack — powering autonomous AI agents.
From infrastructure and LLMs to RAG pipelines, agent behaviors and orchestration layers, this framework shows the 6 layers driving next-gen AI systems. Credit: @goyalshalini #AI -
AI Agents: Goal-Driven Systems Beyond Chatbots
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AI Agents aren’t just chatbots. They’re goal-driven systems that sense → reason → plan → act → learn. Key building blocks:
• Goals + tasks
• System prompt + oversight
• Memory (short + long term)
• Tools (web, code, apps, data, functions) The real shift: AI moving from -
AI Governance Essential: EU Artificial Intelligence Act Risk Categories
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AI governance is not optional, it's essential. The EU Artificial Intelligence Act categorizes AI risk to protect rights and safety. Discover more with @ingliguori
. #AIAct #Governance #ModelOps #AIethics -
AI Surpasses Humans in Technical Tasks, Humans Lead in Multimodal Reasoning
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AI now exceeds human performance in most technical tasks — but humans still lead in multimodal reasoning The next frontier isn’t about replacing humans, but amplifying how we think across data, images & language. Source: Stanford AI Index 2025
#AI #Innovation #FutureOfWork