AI - AI Dynamics

→ View original post on X — @aihighlight

Discussion on GPT-5.5 performance and marketing

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@aihighlight

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15 May 2026 9h19

OpenAI marketing is part of it. The other part is GPT-5.5 actually being good. Both can be true.

→ View original post on X — @scobleizer

Experiencing the AI Life with AI-Made Radio and AI-Driven Car

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@scobleizer

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15 May 2026 9h00

An AI-made radio station about AI made from X. I listened in my AI-driven car tonight coming back from a couple of AI events.

Trying to live that AI life. 🙂 https://t.co/XbPTOt0qp4
— Robert Scoble (@Scobleizer) 15 mai 2026

An AI-made radio station about AI made from X. I listened in my AI-driven car tonight coming back from a couple of AI events. Trying to live that AI life. 🙂

→ View original post on X — @steipete

Codex autoreview and crabbox enable automated issue-to-fix

By

@steipete

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15 May 2026 8h47

This is a game changer. With codex autoreview and crabbox I can now go from issue to fix almost fully automated. (yes it does burn lots of tokens)

→ View original post on X — @steipete

CodexBar 0.26.0 introduces Kiro, Antigravity, OpenRouter, Kimi and improvements

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@steipete

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15 May 2026 7h49

CodexBar 0.26.0 is live Kiro, Antigravity, OpenRouter, Kimi calmer menus + keyboard nav better Codex/Claude limits and cost scoping named macOS assets, CLI + Homebrew fixes

New Technical Guide to Designing Multi-Agent AI Systems with MCP

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15 May 2026 6h39

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

LLM Engineer’s Handbook for Model Development and Training

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15 May 2026 6h39

LLM Engineer's Handbook — Master the art of engineering Large Language Models LLMs from concept to production: http://
amzn.to/4dUQrv6 v/ @PacktDataML Implement robust data pipelines and manage LLM training cycles Create your own LLM and refine with the help of hands-on

Guide to Building Production-Ready AI Agent Systems

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15 May 2026 6h37

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

Enhancing Generative AI Systems with RAG Integration

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15 May 2026 6h31

Unlocking Data with #GenerativeAI and RAG — Enhance Generative AI systems by integrating internal data with large language models using RAG: http://
amzn.to/3PtFHdv v/ @PacktDataML

Practical Guide to Building AI Agents with LLMs and RAG

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15 May 2026 6h27

"Building AI Agents with LLMs, RAG, and Knowledge Graphs — A practical guide to autonomous and modern AI agents" See it at http://
amzn.to/4622k2h via @PacktDataML