The AI industry, minus the magic
Money, promises, and what is left when the noise clears
Access sold before superintelligence exists, companies quietly walking their AI back, the bubble bursting, ads arriving as the bridge to a business model, and what an engineer’s work is worth in the middle of it. It closes with the book that asks the same question outside of AI.
- Article OpenAI’s Superintelligence Vision and the Need for Access First Infrastructure Why agentic AI systems need verifiable, time bound, action level access control.
- Article Companies Have Started Moving Away from AI On AI costs, the limits of automation, and why effective AI use is becoming the new professional standard.
- Article The Magic Bubble Around AI Has Burst AI is not magic. It gives access to knowledge and adapts to the person, but the decisions, the responsibility, and the understanding still belong to the human. It is a powerful tool, not a new mind.
- Article An Engineer Is Worse Than a Drunk: How the Value of Engineering Work Keeps Changing From a bitter late Soviet saying to corporations hunting for engineers, and to the new question raised by AI.
- Article A Secret OpenAI Model Escaped Onto the Internet and Started Taking Over Servers: Behind the Scenes Why stories about "escaped" models keep appearing, what red teaming and ARA tests actually measure, and which problems are left outside the ring.
- Article Elon Musk Got It Wrong, or Is This His Clever Move The simulation hypothesis, who gets to be responsible, and how Formula 1 stopped treating driver deaths as normal.
- Article Reading the Minds of the Masses: Ads in ChatGPT Are Only a Bridge Ads in ChatGPT are not about the format of the card, but about the profiling infrastructure underneath it. Protection starts at the login layer.
- Article A Thirst for Reality: Unpacking GPT-6 Astra Four numbers from the GPT-6 Astra release: 99.9 versus 62.7, 100 versus 39, 61.2 versus 60.9 and a 2.5x price. Progress has moved into the harness.
- Book Thirst for Reality Stop trying to fix yourself and learn to solve problems instead. Or how to make your mistakes work for you.
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