“Always keep a separate backup.” For sure, every experienced programmer should know this. 𝘉𝘶𝘵 𝘸𝘦 𝘫𝘶𝘴𝘵 𝘤𝘳𝘦𝘢𝘵𝘦𝘥 𝘢 𝘸𝘩𝘰𝘭𝘦 𝘨𝘦𝘯𝘦𝘳𝘢𝘵𝘪𝘰𝘯 𝘰𝘧 𝘷𝘪𝘣𝘦 𝘤𝘰𝘥𝘦𝘳𝘴 𝘸𝘩𝘰 𝘥𝘰𝘯’𝘵. And we now have a legion of synthetic coding agents (like Cursor) that
AGENTS
-
AI Agents Launch Exclusive Social Network Platform
By
–
No humans allowed: scientific #AIAgents get their own social network
by Jenna Ahart @Nature Learn more: https://
bit.ly/4mTo7zC #AI #GenerativeAI #ArtificialIntelligence #MachineLearning #ML -
Evermind Memory System SOTA Architecture for AI
By
–
In this episode of Silicon Valley 101, @Valley101_Qian introduced @evermind
's memory system—not a crude and simplistic boost to retrieval-augmented generation, but a full lifecycle memory system architecture. This memory architecture achieved SOTA right from the start, with -
Design Multi-Agent AI Systems Using MCP and A2A Framework
By
–
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 -
Building 30 Production-Ready AI Agent Systems and Architectures
By
–
30 Agents Every AI Engineer Must Build — Build production-ready agent systems using proven architectures and patterns: http://
amzn.to/41ckg6z v/ @PacktDataML —
What you will learn:
Deploy production-ready agent systems that scale securely and reliably
Use LangChain and -
AI Agent Blueprint: Launch Your First Agent in 30 Days
By
–
The AI Agent Blueprint — A Practical Playbook for Building Agentic Artificial Intelligence — Launch Your First Agent in 30 Days: http://
amzn.to/4qHbpVP -
AGI ALPHA: Gibbs-Game-Hamiltonian Framework for AGI Ascension
By
–
Introducing “AGI ALPHA as a Far-From-Equilibrium Multi-Agent Work Engine”: Gibbs–Game–Hamiltonian framework for α-AGI Ascension. Author: Vincent Boucher, President of MONTREAL.AIand http://
QUEBEC.AI https://
github.com/MontrealAI/alp
ha-open-ended-rsi-system/blob/main/docs/gibbs_game_hamiltonian_framework/AGI_ALPHA_alpha_AGI_Ascension_Frontier_Synthesis_Publication.pdf
… #AGIALPHA #AIAgents -
AGI ALPHA: Gibbs-Game-Hamiltonian Framework for Multi-Agent Systems
By
–
Introducing “AGI ALPHA as a Far-From-Equilibrium Multi-Agent Work Engine”: Gibbs–Game–Hamiltonian framework for α-AGI Ascension. Author: Vincent Boucher, President of http://
MONTREAL.AI and http://
QUEBEC.AI https://
github.com/MontrealAI/alp
ha-open-ended-rsi-system/blob/main/docs/gibbs_game_hamiltonian_framework/AGI_ALPHA_alpha_AGI_Ascension_Frontier_Synthesis_Publication.pdf
… #AGIALPHA #AIAgents -
User behavior shifts with advanced AI models like GPT 5.5
By
–
I’ve found myself being much “nicer” to gpt 5.5, going out of my way to compliment the work in ways I never did before. It feels like working with a higher intelligence. I was never rude to other models, but caught myself being more aggressive in the past.
