Category: Artificial Intelligence
The Jurisdiction Problem: Could US AI Companies Leave America?
Published June 13, 2026 1. What Happened Yesterday At 5:21 PM Eastern Time on June 12, 2026, Anthropic received a letter from Commerce Secretary Howard Lutnick ordering the company to suspend all access to its two most capable models, Fable 5 and Mythos 5, for any foreign national anywhere in the world. That definition of […]
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The Hitchhiker’s Guide to Production Outage Triage with Amazon Bedrock
How to use a large language model inside your own AWS account to interrogate your infrastructure while it is on fire So your production environment is throwing errors at 2 AM, your on-call engineer is staring at a wall of CloudWatch noise, and someone in the incident channel has already asked “has anyone checked the […]
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The Agentic One Day Deployment: Why Vendors Leave Billions on the Table and Clients Shouldn’t Need Painful Rollout Projects
Enterprise technology vendors are facing a pipeline crisis nobody talks about openly. The gap between a signed sales lead and a completed implementation is running at two to three years in complex enterprise accounts, representing deferred revenue, deferred renewal conversations, deferred expansion, and a customer who has been living with implementation pain long enough 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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Ghostty the terminal for Claude Code: Config, Splits, and Scripts
There is a meaningful difference between running Claude Code and running it well. The agent is doing serious work: reading your codebase, modifying files, running tests, interpreting output, and looping back. If your terminal is fighting you the whole time, you are burning cognitive load on the environment instead of the work. Ghostty is a […]
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GitHub Copilot Pricing Change: Why Teams Are Switching to Claude
Meta description: GitHub Copilot moves to usage-based billing on June 1, 2026. Here is what changed, why distribution masked a product quality problem for years, the data showing enterprises switching to Claude and OpenAI, and what engineering leaders need to do right now. 1. What is actually changing with GitHub Copilot pricing on June 1, […]
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How Does LLM AI Store Your Data: Claude Conversation History, Data Retention, and What Are Embeddings
If you have ever wondered whether your Claude conversations are saved to your phone, whether deleting a chat actually removes your data, how long Anthropic keeps your history, or what on earth your words become before a language model can read them, this post answers all of it. Most explainers stop at the surface, telling […]
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The Biggest Threat to AI Investment Is AI Itself: How $700 Billion in Infrastructure Could Be Wiped Out by the Technology It Was Built to Run
There is a version of this story that the technology industry tells itself, and it goes like this: AI infrastructure spending is large, the returns will take time, but the demand is real and the economics will eventually follow. It is the same story told during the cloud buildout, and that one worked out. It […]
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Wintel Is Dying to LinARM: How Mythos Class AI Just Tipped the Scales
Published on andrewbaker.ninja This is a researched opinion piece. The data points are sourced and linked in the references at the end, but the conclusions drawn from them are mine. I recognise that some of what follows will not be comfortable reading, particularly for teams that have built careers, processes, and significant capital programmes around […]
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Is AI Profitable? The $1.4 Trillion Scorecard Nobody Wants to Talk About
Technology Strategy · AI Economics · May 2026Andrew Baker · Group CIO, Capitec Bank For the last three years, the technology industry has spoken about artificial intelligence with almost religious certainty. CEOs describe it as inevitable, venture capital firms describe it as transformational, and analysts describe it as the next industrial revolution. Every quarterly earnings […]
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