OpenAI Shipped Eight Amazing Things in 72 hours
Author(s): JP Caparas Originally published on Towards AI. The Codex desktop app, Apple’s Xcode integration, Skills, Automations, and 500,000 downloads later Monday morning, OpenAI dropped the Codex Desktop App. By Tuesday, Apple announced Xcode 26.3 with native Codex integration. Wednesday brought the …
Beyond AI Tools: How I Architect Systems That Actually Run the Business
Author(s): Abdul tayyeb Datarwala Originally published on Towards AI. My journey building operational intelligence — and why most AI initiatives quietly die I’ve built AI-enabled systems that scaled revenue, cut operational cost by multiples, and replaced chaos with clarity. I’ve also watched …
OpenAI’s GPT-5.3-Codex: The AI That Learned to Code Itself
Author(s): Mandar Karhade, MD. PhD. Originally published on Towards AI. OpenAI finally stops pushing porn and starts building coworkers OpenAI just dropped something that should make every software engineer pause their current Sprint planning. GPT-5.3-Codex isn’t just another incremental update to AI-assisted …
Building State-of-the-Art Vision-Enabled RAG Pipelines (2026)
Author(s): James Loy Originally published on Towards AI. A practical, hands-on guide to multimodal retrieval with the Qwen3-VL ecosystem. In early 2026, the multimodal landscape shifted with the release of the Qwen3-VL-Embedding and Qwen3-VL-Reranker families. Built upon the state-of-the-art Qwen3-VL foundation model, …
Word Embeddings in NLP: From Bag-of-Words to Transformers (Part 1)
Author(s): Sivasai Yadav Mudugandla Originally published on Towards AI. Image generated with Microsoft Copilot · 1. Introduction: Why Computers Struggle with Language· 2. What Are Word Embeddings and Why Do We Need Them? ∘ The Map Analogy ∘ Why We Need Them …
Agents 2.0: AI Agents that Can Learn (6 Learning Types that Make Memory Persistent)
Author(s): Divy Yadav Originally published on Towards AI. What if your AI actually remembered you? We call them AI agents. Personal assistants. Digital helpers. Photo by geminiThis article discusses the limitations of current AI agents, which typically do not learn from past …
Microsoft vs Palantir: Two Paths to Enterprise Ontology (And Why Microsoft’s Bet on Semantic Contracts Changes the Game)
Author(s): Pankaj Kumar Originally published on Towards AI. A technical deep-dive into how Microsoft Fabric IQ actually implements ontology — and why it’s fundamentally different from Palantir’s approach 🚀 NEW: I just built OntoGuard in 48 hours — an ontology firewall for …
I tuned a 7B Model That Outperforms GPT-4 (Here’s How You Can Too)
Author(s): Gaurav Shrivastav Originally published on Towards AI. A practical guide to understanding and implementing model specialization for real-world applications Last month, I helped a startup replace their GPT-4-powered customer service system with a fine-tuned 7B parameter model. The results were surprising: …
Beyond Vision Language Action (VLA) Models: Moving Toward Agentic Skills for Zero-Error Physical AI
Author(s): Telekinesis AI Originally published on Towards AI. Vision Language Action (VLA) models are the hottest topic in Physical AI right now. If you are in the space of robotics or computer vision, your feed will be packed with it: massive funding …
UrduBench
Author(s): ML Point Originally published on Towards AI. Measuring What AI Actually Understands About Urdu As large language models increasingly market themselves as multilingual, one critical question often remains unanswered: how do we verify that claim for languages outside the English-centric core? …
The AI CEO Who’s Warning Us About 2027 (This Isn’t Science Fiction Anymore)
Author(s): AbhinayaPinreddy Originally published on Towards AI. A Tech Billionaire Just Wrote 20,000 Words Explaining Why We Might Not Make It to 2030 Here’s something you don’t see every day: A CEO worth billions telling you his own technology might destroy civilization. …
Build LLM-Powered Documentation that Always Stays True to latest codebeases
Author(s): Cocoindex Originally published on Towards AI. A practical guide to using Pydantic, Instructor, and incremental processing with CocoIndex to generate always-fresh Markdown docs from source code. Code is Open-sourced, and available in Github. (Apache 2.0) ⭐ Star if you like it! …
Moltbook: Inside the AI-Only Social Network (A Quick Glance)
Author(s): Vivek Acharya Originally published on Towards AI. Moltbook: Inside the AI-Only Social Network (A Quick Glance) An early screen of the Moltbook homepage, highlighting its agent-only design (“A social network for AI agents where AI agents share, discuss, and upvote. Humans …
Entity Anchoring 2.0: What I Got Right About AI Visibility (And What I’ve Learned Since)
Author(s): Erica Pollock Originally published on Towards AI. Entity Anchoring 2.0: What I Got Right About AI Visibility (And What I’ve Learned Since) Back in December 2024, I published an article called “How ChatGPT Processes Entities — And How Your Brand Can …
My Journey Learning Google ADK: Building AI Agents from Scratch | Part 5
Author(s): Pranav Dhopey Originally published on Towards AI. Building AI Agents from Scratch | Part 5 Bonus part! If you’re following along, you’ve already mastered Part 1 (Basics), Part 2 (State), Part 3 (Workflows), and Part 4 (Multi-Agent Routing). TL;DR: Learn AgentTool …
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