Remember when ChatGPT 4.0 went full sycophant mode a few weeks back? If you weren’t glued to Twitter like I was, you might have missed the drama. OpenAI released an update that made the model excessively agreeable, almost painfully so. They quickly rolled it back and published a post-mortem that revealed something fascinating: they’d included…
I’ve spent the last five years working in Boston’s tech scene, but my journey into AI and machine learning has taken me through Glasgow, Toronto, and roles at companies like Amazon and Best Buy. Along the way, I’ve learned something important: the most powerful AI applications usually come from solving unglamorous problems. Things like cleaning…
In today’s digital economy, procurement teams have to deal with large volumes of unstructured spend data, such as free-text invoices and broken ERP entries. AI is becoming a powerful tool for cleaning, combining, and analyzing this information. Companies that use AI-driven procurement are seeing major real-world benefits. For example, an IBM study found that costs…
A while back, I was reviewing results from a new machine learning (ML) model that looked perfect on paper. Every metric glowed green – accuracy was up, predictions were faster, errors were down. But once the model powered real user experiences, something felt off… The results were impressive, but the experience didn’t feel better. The page was smarter but…
If you have ever tried to understand how the mind works, you know it rarely behaves as neatly as we imagine. Thoughts do not arrive in tidy rows. Memories can drift, bend, or quietly change shape. A scent can pull a forgotten childhood moment into focus. A sentence we only half-heard can emerge altered by…
You know that moment when you realize you’ve been solving the same problem over and over? That’s where I found myself about a year ago. My name’s Noa Flaherty, and I’m the CTO and co-founder of Vellum. After three years of building tools for AI development, I had this wild thought: what if we just…
UI/UX education and real-world practice no longer move in step. While current work in interaction design wrestles with cognitive load, agentic systems, and neuroadaptive feedback loops, many programs still circle around layout, typography, and polished screens. The gap is not only about outdated syllabi. It sits in the systems that run schools, the assumptions baked…
The shopping centres of Riyadh today function as active high-tech retail facilities, which enable customers to move between stores through their mobile devices. I have observed these signs develop through my experience of working with Saudi Arabian retail teams who want to modernise their operations and UK AI research facilities, which create scalable solutions for…
A key challenge of product management is reducing the time between idea generation and gaining validation to move forward (or kill it). What used to take months of building, testing, gathering feedback, and iterating (often with high costs) can now be compressed dramatically using AI tools. Here’s a breakdown of actionable steps so you can fast‑track your product…
Picture this: a hospital AI that starts accurate but gradually becomes biased against certain patient groups. A recommendation algorithm that slowly creates echo chambers. An autonomous vehicle network where safety degrades over months of real-world operation. These aren’t hypothetical scenarios—they’re the reality of deploying AI systems that interact with humans and evolve over time. A…