A latest PwC research dropped a stat value jotting down on a Post-it: 74% of AI’s financial value is at present captured by simply 20% of organizations. The remaining 80% are producing exercise (dashboards, proofs-of-concept, enthusiastic all-hands updates) whereas producing disproportionately modest returns. If your group has been in “pilot mode” for 18 months, this…
Why AI safety breaks at the system level Two developments in AI have began to disclose a deeper shift in how clever techniques are constructed and deployed. One mannequin operates behind closed doorways, supporting a small group tasked with securing essential infrastructure. Another operates in the open, producing software program throughout prolonged classes with minimal…
I’ve been dreaming about the way forward for software program improvement for some time now. And I’ll admit, my imaginative and prescient would possibly sound like a nightmare to a few of you. But hear me out. Picture this: You write a single immediate. Something superbly easy like “Make me a textual content editor like…
At the Generative AI Summit Austin, Ramkumar Shanker took the important stage to ship a keynote that lower via the hype: the period of third-party cookies is over, and the publishers who will win are these that may flip consented, first-party alerts into that means, at scale, with accountability. Shanker brings a uncommon twin perspective…
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…