Ben Lorica and Evangelos Simoudis on Open Models, AI Coding tools, and the Future of Consulting.
Stop Renting Generic Intelligence for Your Business
Manos Koukoumidis on Specialized AI, Agents, Post-training, and the Cost of Generic Models.
The Data Layer Enterprise AI Has Been Missing
Andrew Moore on Knowledge Graphs, Entity Resolution, and the Future of Enterprise Agents.
The Hidden Failure Modes of AI Agents
Helen Gu on AI Reliability, Silent Failures, SLMs, and the Future of Ops.
The Data Stack Wasn’t Built for AI — Here’s What Comes Next
Chang She on Multimodal Data, Agent Memory, and the Future AI Data Stack.
The SaaSpocalypse Is Coming — But Don’t Count Out the Incumbents
Ben Lorica and Evangelos Simoudis on Robotaxis, the SaaSpocalypse, and the AI Stakeholder Squeeze.
AI Agents Are Implemented, Not Adopted
Hamza Tahir on Agents, Harnesses, Orchestration, and the Road to Production.
Why Your AI Agent Isn’t Ready to Ship (And How to Know When It Is)
Zhou Yu on Simulation, Evaluation, Memory, and the Future of AI Agent Testing.
Why Foundation Models Haven’t Replaced Classical Machine Learning
Doris Xin and Moustafa Abdelbaky on Classical ML, Context Graphs, Data Agents, and the Future of Enterprise AI.
When “Garbage In, Garbage Out” Gets It Wrong
Terrence Lee-St. John on Dirty Data, Latent Signals, Predictive Robustness, and the Limits of Data Cleaning.