I built you an AI that watches the entire AI community here on X. 40,000 posts every day read. https://
alignednews.com/ai (this all points back at X). Much better way to keep up.
AGENTS
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AI tool monitors 40000 daily posts from AI community
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Context Engineering for Multi-Agent Systems: Building Transparent Reasoning Architectures
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"Context Engineering for Multi-Agent Systems: Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning" — at http://
amzn.to/448dSiA v/ @PacktDataML 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷:
Develop memory models to retain short-term and -
Building Business-Ready Generative AI Systems with Agents
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"Building Business-Ready Generative #AI Systems — Build Human-Centered Generative AI Systems with Context-Aware Agents, Memory, and LLMs for the Enterprise" at http://
amzn.to/3Jdcio5 v/ @PacktDataML Learn:
Implement an AI controller with a conversation AI agent and -
Learn MCP with TypeScript: Build Agentic Systems
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"Learn Model Context Protocol [MCP] with TypeScript: Build Agentic Systems in TypeScript with the new standard for AI capabilities" at http://
amzn.to/48W6Izu by @chris_noring TypeScript explained — what is it; why and when to use it: https://
contentful.com/blog/what-is-t
ypescript-and-why-should-you-use-it/
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Learn MCP Protocol: Build Agentic Systems Python
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Learn Model Context Protocol [MCP] with Python — Build Agentic Systems in Python with the new standard for AI Capabilities: http://
amzn.to/4njfsVM by @chris_noring v/ @PacktDataML 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷:
Understand the MCP protocol and its core components -
Multi-Agent AI Systems Design Using MCP Framework
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New release from @PacktDataML available at: http://
amzn.to/40Sp4O9 "Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Python-based Agentic AI Framework with tool use, memory, and multi-agent workflows" Table of Contents:
Introduction to Generative AI and AI -
AutoSOTA: AI agents automatically improve research papers
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What if an AI agent could read a research paper and automatically build an even better version of it? Researchers from Tsinghua University and collaborating institutions just released AutoSOTA to do exactly that. AutoSOTA is a multi-agent system that acts like a fully automated
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Model Evolution: From Forms to Agents and Beyond 2027
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With how good the upcoming models are, I genuinely think “managing 14 Claude Code tabs” will look as stupid in 2027 as “filling out a GPT-3 form” looks now GPT-3 → forms
3.5 → chatbots
4 → workflows
5 → agents
next → ??? Every model leap outgrows the previous gen’s harness -
Demis Hassabis Predicted AGI by 2030 and Emphasized Agents
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In 2010, when @GoogleDeepMind was formed, well before deep learning was taking hold, @demishassabis predicted AGI by 2030 and called out the use of agents pic.twitter.com/vuaYJwiGP4
— Eric Topol (@EricTopol) 19 avril 2026In 2010, when @GoogleDeepMind was formed, well before deep learning was taking hold, @demishassabis predicted AGI by 2030 and called out the use of agents
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Top AI Papers of the Week: April 13-19
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The Top AI Papers of the Week (April 13 – 19) – AlphaEval
– AiScientist
– Auto-Diagnose
– Nemotron 3 Super
– Subliminal Learning
– Automated W2S Researcher
– Memory Transfer Learning Read on for more: