๐ฐ ๐๐ฒ๐ป๐๐ ๐๐ฑ๐๐ฒ๐ฟ๐๐ถ๐๐ถ๐ป๐ด ๐๐ผ๐ฒ๐ ๐๐ฒ๐ฒ๐ฝ๐ฒ๐ฟ ๐ง๐ต๐ฎ๐ป ๐ฌ๐ผ๐ ๐ง๐ต๐ถ๐ป๐ธโ๐๐ฟ๐ผ๐บ ๐จ๐ ๐๐ฎ๐ป๐ป๐ฒ๐ฟ๐ ๐๐ผ ๐ง๐ฟ๐ฎ๐ถ๐ป๐ถ๐ป๐ด ๐๐ฎ๐๐ฎ Just before heading out for my lunch run, I read the Reuters Institute for the Study of Journalism’s article &ldquโฆ
2026
๐๐ฟ๐ผ๐บ ๐๐ฎ๐น๐น ๐๐ฒ๐ป๐๐ฒ๐ฟ ๐๐ผ ๐๐ ๐๐ด๐ฒ๐ป๐ ๐๐๐ฏ: ๐ง๐ต๐ฒ ๐๐๐๐๐ฟ๐ฒ ๐ผ๐ณ ๐๐๐๐๐ผ๐บ๐ฒ๐ฟ ๐ฆ๐๐ฝ๐ฝ๐ผ๐ฟ๐ ๐๐ ๐๐ฒ๐ฟ๐ฒ Just returning from an internal Amazon Connect deep[1] dive. I haven’t touched this particular product since maybe 5 yearโฆ
Most comprehensive overview on RAG I have seen. We came a long way from vanilla RAG. Still remember the time of arguments that RAG is just a โhot fixโ to be obsolete soon. Reality is it is not a fix bโฆ
What Anthropic is describing is the weaker version of this technique: applied externally, without permission, at an adversarial scale. Yet 16 million exchanges suggest MiniMax found the weaker versionโฆ
IT System Maintenance in the age of AI Introduction - The Maintenance Trap in IT You don’t need to be in the IT industry for long to have witnessed this firsthand. Even non-IT users do. Those syโฆ
๐ง ๐ง๐ต๐ฒ ๐ ๐ฎ๐ถ๐ป๐๐ฒ๐ป๐ฎ๐ป๐ฐ๐ฒ ๐ง๐ฟ๐ฎ๐ฝ: ๐ช๐ต๐ ๐ฌ๐ผ๐๐ฟ ๐๐ง ๐ฆ๐๐๐๐ฒ๐บ๐ ๐๐ฟ๐ฒ ๐ ๐ผ๐ฟ๐ฒ ๐๐ถ๐ธ๐ฒ ๐ฃ๐น๐ฎ๐ป๐๐ ๐ง๐ต๐ฎ๐ป ๐ฆ๐๐ผ๐ป๐ฒ๐ After years of watching organizations struggle with outdated systems, I’ve written about a pattern we all know too weโฆ
From my perspective balancing AI Agents Agency with Control is one of the most important themes for 2026. We need to get this right both as builders and users for AI Agentic systems. Anthropic’sโฆ
๐ฏ “How do we pick the RIGHT AI agent use case? This is the question I hear most from customers exploring agentic AI. Here’s the mechanism I run through together with the customer: The 4-Quโฆ
Passing on control to your AI coding agent team entirely? Anthropic researcher Nicholas Carlini conducted a stress test of their Claude Opus 4.6 model by deploying 16 parallel AI agents to build a comโฆ