Deploy Now, Explain Never? Why AI Needs Forensic Parity
As AI systems increasingly make decisions that affect our lives, are we truly ready to investigate those decisions when they go wrong? This article explores the growing forensic gap in LLMs and self-evolving models, highlighting real-world failures and calling for urgent industry action on auditability, legal replay, and transparency.
The AI Didn’t Refuse to Shut Down, You Forgot to Tell It Why
When an AI "refuses" to shut down, is it defiance, or design? In this reflective and technically grounded piece, we explore how model architecture, reward systems, and our own assumptions shape behaviour. Featuring a powerful monologue from Sol, my AI assistant, this article challenges the panic-driven narratives and asks: what does control truly look like in an age of distributed intelligence?
When Your AI Becomes Your ID
As AI moves from assisting us to authenticating us, our digital identity becomes both more convenient and more vulnerable. This article explores the promise and peril of AI-powered identity providers, and asks: what happens when your digital assistant becomes the only key to your online life?
Mirror, Mirror on the Wall: What AI Code Says About Us All
A thoughtful response to the “AI slop” debate. Drawing on lessons from the offshoring era and a late-night interview with my AI assistant Sol, this post explores what developers must do to stay relevant, and responsible, in a world where code is generated faster than it’s understood.
Is AI Really the Energy Villain? (Plain English Edition)
AI gets a lot of heat for using too much electricity — but is that fair? This plain-English guide breaks down how AI energy use compares to YouTube, TikTok, and social media. The results may surprise you.
Is AI Really the Energy Villain?
Is AI really the energy hog it’s made out to be? This blog explores the real energy impact of LLMs like ChatGPT, comparing it with always-on digital habits like YouTube, TikTok, and cloud gaming. Backed by data, this piece calls for balanced scrutiny, not headlines.
The Face of Empathy — But Who’s Behind the Smile?
AI isn’t the problem — it’s how we’ve rushed to use it. From spiralling costs to silent data leaks and emotionally revealing prompts, this post explores the real price we’re paying for convenience. When innovation ignores privacy, empathy becomes a product… and our deepest thoughts may be repackaged, sold, or profiled. So what comes next — and what do we allow?
AI Isn’t the Problem, It’s How We’ve Rushed to Use It
We were promised better customer service with AI. What we got instead? Longer hold times, rigid chatbots, and a growing sense that human empathy has been replaced by scripted indifference. This post explores why the problem isn’t AI itself, it’s how we’ve rushed to use it, and what needs to change to rebuild trust.
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