Three Modes, Three Economies

There is a kind of AI that has not filled many conference rooms these past two years. It sits in production systems where it has been working for years or decades, without anyone registering it as an event. It is the layer that, in most organizations, actually produces value — and it is the layer that almost never shows up on a slide. This is not accidental. An AI that functions as a performance has to remain visible. An AI that functions as a component gains with every additional hour in […]

https://christianalbert.photography/three-modes-three-economies/

Un article d'opinion parfaitement clair sur le destin que réservent les LLM aux entreprises. https://leehanchung.github.io/blogs/2026/04/05/the-ai-great-leap-forward/ #GenerativeAI #LLM #AIEngineering #AgentSystems
The AI Great Leap Forward

In 1958, Mao ordered every village to produce steel. The steel was useless. The crops rotted. Today's top-down AI mandates are producing the same pattern: ba...

Han, Not Solo

Agents are now favoring vector search over classic RAG, as memory frameworks shift to vector storage for rapid similarity lookup. Learn how this changes retrieval infrastructure for LLM‑powered agents and what it means for future AI memory design. #VectorSearch #RAG #AIMemory #AgentSystems

🔗 https://aidailypost.com/news/agents-favor-vector-search-over-rag-noting-memory-frameworks-use

Meta acquired Moltbook 40 days after launch, despite the AI social network's major security breach and 93% dead engagement. The real target appears to be Moltbook's agent-to-human registry concept, not the platform itself. Founders join Meta's research division as AI infrastructure splits between major players - OpenAI handling runtimes, Meta focusing on discovery systems. #AIInfrastructure #MetaAI #AgentSystems

https://www.implicator.ai/moltbook-was-broken-fake-and-brilliant-meta-paid-anyway/

Moltbook Was Broken, Fake, and Brilliant. Meta Paid Anyway.

Meta acquired Moltbook, the AI agent social network with 1.5M exposed tokens and 93% dead comments, for its agent-to-human registry concept.

Implicator.ai

Exploring how humans and AI agents communicate in real-world systems. This repository connects research and development in HCI and AI, covering practical insights for building smarter, more intuitive agent interactions.

Ideal for developers, researchers, and teams working on conversational and agent-based systems.

🔗 https://github.com/OliviaAddison/Human-Agent-Communication-Connecting-Research-and-Development-in-HCI-and-AI

#HumanAgentCommunication #HCI #ArtificialIntelligence #AIAgents #ConversationalAI #AgentSystems #AIResearch #RubikChat #AIDevelopment #FutureOfAI

GitHub - OliviaAddison/Human-Agent-Communication-Connecting-Research-and-Development-in-HCI-and-AI: Explore human-agent communication and how HCI and AI connect in conversational AI, chatbots, virtual assistants, and autonomous agents. Learn key concepts, design principles, AI technologies, challenges, and future trends in AI-driven interaction.

Explore human-agent communication and how HCI and AI connect in conversational AI, chatbots, virtual assistants, and autonomous agents. Learn key concepts, design principles, AI technologies, chall...

GitHub

"Ra mắt AgentSystems - Cửa hàng ứng dụng & runtime mã nguồn mở, tự lưu trữ cho các tác nhân AI. Cho phép chạy các tác nhân của bên thứ 3 trên máy của bạn. #AgentSystems #AI #MãNguồnMở #TựLưuTrữ #SelfHosted #OpenSource #ArtificialIntelligence"

https://www.reddit.com/r/selfhosted/comments/1ox55cq/agentsystems_opensource_selfhosted_app_store/