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Artificial Intelligence, Machine Learning and Data Science

Artificial Intelligence, Machine Learning and Data Science, Data Visualisation

GPT 5.5 – The Smartest Model Yet (Again)

Three claims in the GPT-5.5 launch. Two are vibes. One is measurable, and it’s the one nobody’s talking about. Plus why the Codex angle matters more than the model itself, and the agentic promise to take with a pinch of salt.

Say It Twice: The Quiet Hack That Exposes How AI Actually Works

What if most prompt engineering advice is just working around a flaw? A new Google Research paper shows that repeating your prompt, literally copy and paste, can significantly improve AI performance. This isn’t a hack. It’s a window into how these systems really work. I explain more here.

Why Charles Bennett and Giles Brassard Won the Turing Award

Bennett and Brassard didn’t just improve cryptography, they removed its weakest assumption. Instead of relying on difficult maths, their work anchored security in the laws of physics, where eavesdropping becomes detectable by design. That shift didn’t just launch quantum cryptography; it forced a rethink of what computation and security actually are.

Gemini Just Got Weird (In a Good Way)

Google’s latest Gemini update brings AI music generation, an upgraded on-device model called Nano Banana 2, and grounded APA citations for scientific papers. Three very different capabilities, one clear signal: Google is betting the generalist AI platform wins.

The Claude Ecosystem – Different Tools for Different Jobs

Everyone’s using AI. Fewer people are using it well. The real advantage isn’t using AI — it’s knowing which layer to reach for, and when. In this post I break down the three distinct layers of the Claude ecosystem and show you exactly how to deploy each one.

Claude in MS Copilot

Microsoft Expands Copilot’s AI Brain: Why Claude Is Joining the Mix Microsoft has begun quietly reshaping the architecture behind Microsoft 365 Copilot, and the change tells us a lot about where enterprise AI is heading. Until… Read More »Claude in MS Copilot

Forecasting the Future: Time Series, Prophets, and Cross-Validation

The second edition of Advanced Data Science and Analytics with Python features significant updates, focusing on trustworthy model building and practical forecasting. A chapter dedicated to Meta’s Prophet framework discusses its strengths in handling seasonality and trends, emphasising robust evaluation methods to ensure forecasts remain reliable in real-world applications.