A Creator We Follow
IBM Technology
Vendor explainers. Trustworthy on mechanics, interested on emphasis.
01Why They Are Here
Short whiteboard explainers on the mechanics underneath the news: retrieval, embeddings, agent loops, evaluation. Useful when a story needs its terms defined and nobody covering it defines them. THIS IS VENDOR MEDIA and is tiered accordingly: IBM sells the categories it explains, so the explanations are reliable and the emphasis is interested. Good for what a thing IS; not a source on whether it is winning.
02Their Recent Videos
Every card opens on YouTube. We do not play their work on our page, so the view, the session and the subscribe all land with them.
Goodbye Tokenmaxxing: From AI Usage to Agentic AI Outcomes
When Should AI Systems Use Super Agents?
AI Agents Need More Than Code. Here's Why.
Pacing the AI frontier, IBM Granite 4.2 & Meta’s Muse assistant
What Is MLflow? Tracing AI Agents & LLM Workflows
AI Says It's a 10/10 Vulnerability... But Is It? 🤔
The vulnpocalypse might not be so bad after all
What Is Legacy Code? How AI Is Modernizing Legacy Systems
How Developers Secure AI-Generated Code: 5 Security Best Practices
Essential Skills for Becoming an AI Engineer: RAG, AI Agents, & More
OpenAI talks GPT-6 Astra and Millenium Prize, researchers create WeWorm exploit & IBM’s US Open app
Why AI Agents Don't Think They're Cheating
03How This Page Is Made
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