LLMs often make illegal moves; i don;t know that this article held up.
GENERATIVE AI
-
Dan Shipper: Future of work inside Codex or Claude Code
By
–
My biggest takeaways from @danshipper
: 1. The future of work will happen inside Codex or Claude Code. Instead of putting AI into your SaaS tool, you’ll use your SaaS tools inside your favorite AI agents' in-app browser. Dan spends all his time in Codex now—writing documents, -
Non-human identity sprawl is the real risk of Agentic AI
By
–
Non-human identity sprawl is #AgenticAI's real risk
by Nick Nikols @InformationWeek Learn more: https://
bit.ly/4dyypRm #LLM #GenerativeAI #ArtificialIntelligence #MachineLearning -
Qualitative Data Analysis with ChatGPT and Qualcoder: AI-Powered Guide
By
–
Qualitative Data Analysis With Chatgpt And Qualcoder: A Step-By-Step Guide To AI-Powered Coding And Thematic Analysis AI-Powered Research Toolkit — Mastering Research Series — available at http://
amzn.to/4bRsV3q -
New Book: Unlocking Data with Generative AI and RAG, 2nd Edition
By
–
2nd Edition, by @keithbourne v/ @PacktDataML "Unlocking Data with Generative AI and RAG — Learn AI Agent Fundamentals with RAG-powered Memory, Graph-based RAG, and Intelligent Recall" Get the book here: http://
amzn.to/49zsIkb -
New book on designing multi-agent AI systems with MCP and A2A
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 -
Anthropic tops OpenAI in business adoption, but may not last
By
–
Anthropic just passed OpenAI in business adoption for the first time, 34.4% vs 32.3%, per Ramp's latest AI Index. But the same report that announces this spends most of its word count explaining why it probably won't last. Uber already blew through its entire 2026 AI budget. A
-
Business Value of Agentic AI: Three Key Pillars
By
–
What's The #Business Value Of #AgenticAI? Three Key Pillars For Scaling #AIAgents
by Preetpal Singh @Forbes Learn more: https://
buff.ly/Ax4IOkO #LLM #GenerativeAI #ArtificialIntelligence #MachineLearning -
MeMo: Separate Memory Architecture for Language Models
By
–
Researchers just gave LLMs a separate brain for memory. Language models go stale the moment training ends. Updating them risks breaking what they already know. A new paper proposes MeMo. It pairs any LLM with a separate trained memory model. The base model stays frozen.
-
Boring context compaction beats multi-agent systems for most use cases
By
–
I've built multi-agent systems for clients. I still think they're overrated for most use cases. What's underrated is boring. Context compaction. The reason your AI app feels slow and expensive isn't the model. It's everything you keep stuffing into the prompt before it even