Posts

2026/03/19 The World Still Runs on Oil
2026/03/15 When Agents Start Talking
2026/03/12 Chain-of-Thought Is Becoming a Crutch
2026/03/10 Humankind in the Age of AI
2026/03/07 AI Job Displacement: My take by analysing 30 Datasets
2026/03/05 350 Devices in One Year: Review of 2025 FDA AI/ML List
2026/03/02 LLM Surveillance and Anthropic’s Redline
2026/02/22 The Evolution of Search: From Exact Matches to True Understanding
2026/02/15 Weather Forecasting & Broken Medical VLMs
2026/02/14 The Digital Eraser: Why Teaching Models to Forget is as Important as Learning
2026/02/09 The Invisible Hand in the Age of AI
2026/01/18 A highly Opinionated View: How LLMs Will Rewire Product Development in MedTech-Manufacturing
2025/12/21 Circuit Tracing: Finding Medical Features in Gemma 3
2025/12/15 Your LLM Medical Device Just Got Smarter. Does the FDA Need to Know?
2025/11/28 What Does Medical VLM Actually See? Experiments with MedGemma and Sparse Autoencoders
2025/11/02 Opening the Black Box: How to See What Your Vision Language Model is Actually Looking At
2025/10/05 Fluent But Wrong: LLM and Healthcare
2025/09/01 When AI Radiologists Get Confused: The Critical Challenge of VLM Robustness in Medical Diagnostics
2025/08/03 Building AI Agents with Multimodal Models: The Final Challenge
2025/07/20 Building AI Agents with Multimodal Models: Part 4
2025/07/06 Building AI Agents with Multimodal Models: Part 3
2025/06/22 Building AI Agents with Multimodal Models: Part 2
2025/06/15 BitNet b1.58: The Death of Multiplication
2025/06/08 Building AI Agents with Multimodal Models : Part 1
2025/05/18 OCR on Engineering Drawings with a 0.9B Vision-Language Model
2025/04/22 Why a 0.9B VLM can be a serious OCR engine
2025/03/20 Multimodal LLMs in Healthcare: What’s Actually Working
2025/02/16 A guide to LLM evaluation metrics
2025/01/12 Data Generating Process
2024/12/08 Understanding Random Variables: A Practical Guide for Engineers
2024/11/10 Bayesian Optimization
2024/10/25 Machine Learning Primer