Shirley Peng·Oct 26Beyond Hallucination: What AI Still Gets WrongI’ve been using the word hallucination for a long time to describe AI’s limitations.
Jay Yamamoto·Oct 4The World is not perfect, and ontology is suitable to define the domain?Can Business Work Be Reverse-Compiled into Verified State Transitions?
Igor Plyuta·Sep 1AI Can Read an Industry. It Still Struggles to Understand One.Why research agents don’t eliminate the need for structured domain knowledge — especially in regulated industries.
Leigh Collier·Apr 9I tried to use Data Science to Predict Compatibility.We know data science is hard enough when working with metrics. Customer churn, ad clicks, cart abandons. Even the stuff collected…
Sateesh Valluru·Jan 13Building AI Agents That Survive Reality: A 2026 Engineer’s Journey — Day 11Day 1 — The Moment AI Agents Stopped Being Cool and Started Being Real
Vivek Karmarkar·Oct 20, 2025Four Physics-Inspired Innovations That Made AI Video Generation Actually Work 🎬⚛️Domain Expertise Is Critical. But Domain Expertise + AI Friendship Is The Superpower.
Junior Analyst Journal·Sep 29, 2025Why Domain Knowledge Matters in Healthcare Data AnalyticsThe healthcare industry runs on data — claims, patient records, appointments, denials, reimbursements, and more. For analysts, this…
NS Academy·Sep 29, 2025What is data science and why is it important?🔹 What is Data Science?A response icon1A response icon1
InData Science CollectivebyMaximilian Oliver·Aug 17, 2025The Data Scientist’s Secret Weapon: How Domain Knowledge Made Me a 10x EngineerWhy Data Science Without Context Is Just Statistical Guesswork.
