AI, machine learning and data.
AI coding tools have crossed a critical adoption threshold. But the real shift isn't individual productivity—it's how engineering organisations allocate capacity across priorities.
Exploring historic AI model prices, and Google's new Gemini 3 Flash at $0.50/$3.00 per million tokens—a 67% increase over 2.5 Flash.
89% of malicious emails bypass SPF, DKIM and DMARC. Your inbox is already compromised—authentication protocols failed and nobody told you. Here's how AI catches what traditional filters miss.
The tech industry's rush to embed AI into every product is creating exhausted users and half-baked features. Real AI success comes from solving specific problems, not sprinkling chatbots everywhere.
AI is cheap for end-users right now, but only because venture capital is picking up the tab. The reality is that training and inference are still expensive, and someone has to pay. Billions raised by OpenAI, Anthropic, Mistral and others are spent on compute, staff and Nvidia GPUs. Consumers see subsidised pricing, but the underlying costs are enormous.
My take on the next version of the web given the failures of Web 3.0 and the need for a more organised, user-centric approach.
What if your AI assistant could actually feel what kind of day you're having? Not in some creepy sci-fi way, but in a structured, measurable way that makes it respond like a human would—with actual understanding.