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.
Published on andrewbaker.ninja It is 09:47 on a Tuesday morning. A researcher publishes a new CVE (Common Vulnerabilities and Exposures) for a widely deployed authentication library. The advisory goes live. Within minutes, an AI system on the other side of the world ingests the patch, reverse engineers it, identifies the memory corruption flaw the patch […]
Read more →1. What I saw in Kruger I was walking through Kruger National Park recently when I noticed small pieces of metal sticking out of the ground, the remains of old fence posts. I asked the ranger what they were, and he explained that Kruger had not always been the enormous open ecosystem we see today. […]
Read more →Anyone who has travelled with a laptop knows the ritual. You arrive somewhere new, you pull out your charger, and you discover that the wall has entirely different opinions about what a plug should look like. The device in your bag has not changed and the electricity coming out of the wall has not changed […]
Read more →AI is not eliminating work so much as changing what organisations optimise for. Companies that once grew by adding layers of management, reporting and coordination are beginning to grow by adding builders and customer facing experts instead, with AI quietly removing much of the organisational overhead that previously sat between them. The businesses that understand […]
Read more →DeepSeek, Kimi and GLM show why model choice and cloud choice can no longer be the same decision 1. Bedrock is a very AWS answer to generative AI Amazon Bedrock takes a chaotic market of model providers and wraps it in IAM, AWS networking, logging, governance, regional deployment and an existing enterprise commercial relationship. What […]
Read more →1. What a token actually is Before any of this makes sense, it helps to be precise about what a token is, since the whole article rests on it. A model does not read text the way a person does, character by character or word by word. Text is first broken up into tokens, which […]
Read more →1. The narrow claim This is not a case for replacing Claude across the enterprise. Most of what several thousand ordinary employees do with AI is low volume and highly varied, and a frontier model’s breadth is genuinely worth paying for there. That part of the bill is not in play in this piece. The […]
Read more →Anthropic published a blog post on Monday. Not a product launch, not a partnership announcement, not a keynote at a major conference. Just a simple blog post explaining that Claude Code can read COBOL. IBM proceeded to drop 13%, its worst single day loss since October 2000, with twenty five years of stock resilience gone […]
Read more →If you’re like me, the idea of doing anything twice will make you break out in a cold shiver. For my Claude desktop, I often need network pcap (packet capture) to unpack something that I am doing. So the script below installs wireshark, and then the wireshark mcp and then configures Claude to use it. […]
Read more →1. Why this is worth being precise about Claude Code’s model can be changed through an environment variable, and that variable can point at a gateway such as OpenRouter rather than at Anthropic’s own API. This is how people run Claude Code against DeepSeek, GLM, or any other backend a gateway serves. The question comes […]
Read more →There is nowhere left to hide. For decades, banks built an elegant asymmetry into the relationship with their customers. The bank had a team of specialists, the time to design products, and the lawyers to draft disclosure documents that were technically correct and practically unreadable. The customer had a life to live and, at the […]
Read more →For most of the history of software, code was expensive. If somebody had already solved a problem, you reused their solution. You downloaded the library, cloned the repository, installed the package, forked the project or submitted a pull request, because rewriting something that already existed was normally considered wasteful. AI is quietly destroying that economic […]
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