Fair Patterns: Designing for Human Autonomy in the Age of AI
We live in a world fraught with interfaces designed to work against you. Most people sense it. Few can prove it, and fewer still are trying to fix it. By George Anadiotis There is a particular kind of frustration that arrives when you understand a problem perfectly and cannot do a single useful thing about it. […]
Read More →The Engineer in the Machine: How Neo Is Rewriting What It Means to Build AI
A fully autonomous machine learning engineering agent. A benchmark that matters. And a question that cuts deeper than the hype: when a machine does the work, what happens to the learning part? By George Anadiotis The race to automate software engineering is expanding to new territory: machine learning. Neo is a fully autonomous machine learning engineering agent […]
Read More →Foundations or vibes? Lessons learned from using AI in software engineering
Software engineering is being transformed by AI faster than any other domain. Unpacking how this transformation is playing out may offer a glimpse into the future By George Anadiotis Greg Foster’s journey into software engineering began in an unlikely place: a Nevada high school where he couldn’t land a job at Starbucks. Instead of serving […]
Read More →The singularity is here, it’s just not evenly distributed yet. Long views on AI, Part 4
“How can AI work to shape a future worth living around the world?” A 2025 – 2026 review through the lens of Knowledge Management, Graphs, Communities, Ontology, Connected Thinking and Pragmatic AI. By George Anadiotis When OpenAI CEO Sam Altman admitted we’re in an AI bubble in August 2025, I wasn’t surprised. I’d been watching the […]
Read More →The Seven Principles of Pragmatic AI: From AI Literacy to AI Proficiency
Foundational. Evolutionary. Practical. Sustainable. Contextual. Interactive. Responsible. 🧠 You don’t have to be a data scientist to benefit from AI. People who understand AI broadly and can apply it flexibly thrive. This is Pragmatic AI 📚 Start with AI Literacy, and move towards AI Proficiency 👥 Learn the first principles of data and AI, build […]
Read More →Breaking the AI bubble: Big Tech plus AI equals economy takeover
Whether we like it or not, and despite tales of its powers being greatly exaggerated, the AI genie is out of the box. What does that mean, and what can we do about it? By George Anadiotis In another twist of abysmal AI politics, OpenAI CEO Sam Altman just admitted that we are in an AI bubble, and […]
Read More →Poking holes in the AI narrative: Market Signalling and Outsourcing
Can AI work reliably at scale? Will everything be outsourced to AI? Will AI replace CEOs? Why is everyone riding the AI bandwagon, and where is it headed? By George Anadiotis These are the type of questions you would tackle with someone who has long-standing experience in AI, engineering, business and beyond. Georg Zoeller is that […]
Read More →Building AI for Earth with Clay: The intelligence platform transforming Geospatial data analysis
How a rocket scientist turned entrepreneur created the “ChatGPT for Earth data” using transformers and satellite imagery By George Anadiotis Bruno Sánchez is a rocket scientist with a somewhat deviant trajectory. An astrophysicist by training, he used the tools of his trade – mathematics and science – at the broadest possible scale: the universe. At […]
Read More →The Quality Imperative: Why Leading Organizations Proactively Evaluate Software and AI Systems, And How You Can Too
As enterprise systems shift from deterministic software to probabilistic AI, forward-thinking organizations leverage proactive quality assessment to maximize value, minimize risk and ensure regulatory compliance. By George Anadiotis In today’s rapidly evolving technological landscape, ensuring the quality of both traditional software and AI systems has become more critical than ever. Organizations are increasingly relying on complex […]
Read More →Knowledge Graphs as the essential truth layer for Pragmatic AI
Organizations are facing a critical challenge to AI adoption: how to leverage their domain-specific knowledge to use AI in a way that delivers trustworthy results. Knowledge graphs provide the missing “truth layer” for AI that transforms probabilistic outputs into real world business acceleration. By George Anadiotis • 🚀 AI adoption is accelerating, but most implementations fail […]
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