Artificial Intelligence Blogs for Technologists
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AI in banking, LLMs in production, AI infrastructure and governance, and what actually changes when you deploy AI at enterprise scale, written for technologists not hype-chasers.
The Dark Factory Fallacy: Why Banks Cannot Automate Their Way to Zero
Why the most powerful operational model in financial services already exists, almost nobody is copying it, and the people who should be leading the charge are the biggest obstacle to it. 1. What a Dark Factory Actually Is In advanced manufacturing, a dark factory is a facility that runs without human beings on the floor. […]
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From Zero to Exploit Detection: A Practical Guide to Nuclei Templates for Pen Testing
Vulnerability scanning used to mean choosing between a handful of expensive commercial scanners or writing your own scripts for every check you cared about. Nuclei changed that calculation. It is an open source scanning engine built by ProjectDiscovery that runs YAML defined templates against targets, and the template library has grown into one of the […]
Read more →Protected: Neo by Capitec: AI Client Support That Resolves Issues Proactively
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The Contract Clause That Cannot Save You: What Switzerland’s Rejection of Palantir Means for Enterprise Technology Leaders
There is a version of this story that most technology vendors would prefer you heard. In that version, Switzerland evaluated Palantir’s data analytics platform, found it impressive, but ultimately declined due to vague concerns about national sovereignty: a regulatory sentiment, a political posture, nothing that applies to a commercial enterprise operating under normal procurement constraints. […]
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Open Weights: Why Would Anyone Give Away the Most Expensive Part of an AI Model?
1. A strange thing is happening in AI There is something slightly strange happening in artificial intelligence. Companies are spending enormous amounts of money buying GPUs, building data centres, collecting data, employing researchers and training increasingly capable models. Training a serious frontier model is not like writing an ordinary piece of software. Much of the […]
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What Are Embeddings in AI? A Plain English Guide to Vector Search and RAG
1. The problem nobody states plainly Every time someone in banking talks about Retrieval Augmented Generation, vector databases, or semantic search, the word embeddings surfaces almost immediately, and most people in the room nod without actually knowing what an embedding is. That is not a criticism. It is simply what happens when a mathematical concept […]
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DeepSeek V4 Flash vs. Claude Haiku, Sonnet, and Opus: A Coding Review
The question isn’t which model wins DeepSeek pushed the official deepseek-v4-flash API into public beta on July 31, 2026, and immediately claimed its cheap tier now beats DeepSeek’s own more expensive V4-Pro-Preview on agent benchmarks. Then, on August 13, 2026 (the announcement that landed in most feeds on Friday, August 14), DeepSeek took V4-Pro to […]
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Why Open Weight AI Is Gaining Ground as US Model Access Becomes Politicised
Two screenshots crossed my phone within about a day of each other this week, and together they say more about where this industry is heading than most of the analyst notes I read. The first is Moonshot AI announcing it had to pause new subscriptions to Kimi K3 because demand pushed its GPUs close to […]
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The Agentic Rollout Gap: Why AI Products Still Need Armies of Consultants
Agentic systems should not remove humans from deployment. They should remove irreversible decisions, and that distinction is the entire argument. Every SaaS vendor suddenly has an AI story: AI powered workflows, AI assisted operations, autonomous recommendations, self healing infrastructure, intelligent observability, agent driven decisions. The pitch deck is confident, the demo is smooth, and then […]
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AI Context Is Not Memory: Why Agents Need to Forget
1. The follow up question In my previous post I explained why context is not free, and why a smaller AI model carrying a huge context can sometimes cost more to serve than a larger model with a short one. The response I heard most often, in different words each time, was the same question. […]
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Moronic Inference: How Corporates Turn Weak Signals Into Confident Nonsense
1. A definition, and the email that prompted it Moronic inference is the organisational habit of constructing highly confident explanations from evidence that is far too weak to justify them. I did not set out to write a definition. I arrived at one because Disney+ handed me a perfect example of it. I have been […]
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Finally, an AI That Understands Money, Part Two: The Lending Market Hiding in Your Embeddings
Conventional lending has confused regularity with durability. An AI reading the transaction history directly measures what a payslip cannot, and in a market like South Africa that changes who is lendable at all. This is the second of three parts. Part one explains what Revolut’s PRAGMA is and how it works. Part three covers fraud, […]
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