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
AGENTS
-

Multi-Agent AI Systems Design Using MCP Framework
By
–
-

AutoSOTA: AI agents automatically improve research papers
By
–
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
-
Model Evolution: From Forms to Agents and Beyond 2027
By
–
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
By
–
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
-

Top AI Papers of the Week: April 13-19
By
–
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: -
Agent Context Loss in Design Tools: Structured Data vs Screenshots
By
–
external design tools lose agent context on every trip. Are your agents reading the design artifacts back as structured data, or as rendered screenshots?
-
Codex versus Claude: Code Generation Performance Comparison
By
–
1. we don't run undisclosed ads
2. curious to see where/ how and in which situations does codex produce inferior code vs claude like any other coding agent, it's worth spending couple minutes ahead of kickstarting a project to build a solid agents md (build it w/ codex) -
How to start a conversation with Claude in learning mode
By
–
Empezar es muy sencillo:
— Nico (@nicos_ai) 19 avril 2026
Abre Claude en web o en la app, inicia una conversación y selecciona el Modo de Aprendizaje.
Haz una pregunta o sube un documento.
Claude se encarga del resto. pic.twitter.com/YeN74ZdXVuGetting started is very simple: Open Claude on web or in the app, start a conversation and select Learning Mode. Ask a question or upload a document. Claude takes care of the rest.
-

Comparing Codex Performance Against Other Coding Agents
By
–
I doubt so, specially find it quite hard to reconcile with how teams at OpenAI have been pushing GPTs to the extreme for exact same tasks mentioned above! That said, I’d be keen to look at examples where other coding agents perform better at tasks which codex doesn’t
-

Five Non-Negotiables For Enterprise AI Agent Development
By
–
Upgrade Your Agent’s Brain: The 5 Non-Negotiables For Enterprise #AI
by Rafael Flores @Forbes Learn more: https://
bit.ly/3Os3Bcj #GenerativeAI #ArtificialIntelligence #MachineLearning #ML