Category: Artificial Intelligence
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The White House released its National Policy Framework for Artificial Intelligence March 20, 2026. At first glance, it reads like what you would expect: a mix of safety language, innovation goals, workforce development, and civil protections. A balancing act. Something for everyone. But if you read it closely – line by line, section by section…
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The AI disruption stack is a layered system of incentives, behaviors, and pressures reinforcing one another. There are many arguments about AI right now. Some focus on theft. Some focus on innovation. Some on job loss. Some on consciousness. Some on moral panic. Most of them are narrow. Because what we’re actually witnessing isn’t a…
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I. The Timeline On March 9, 2026, Promptfoo announced it had been acquired by OpenAI. Promptfoo is one of the most widely used adversarial testing platforms for AI systems, used by hundreds of thousands of developers and teams across Fortune 500 companies. The acquisition creates an unusual situation: the infrastructure used to test AI providers…
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Or: Goldman Sachs, the Steinberger Acquisition, and the Pattern That Keeps Repeating I. The Surface Story Everyone Saw On February 15, 2026, Sam Altman announced OpenAI had hired Peter Steinberger, creator of OpenClaw—the fastest-growing open-source project in GitHub history. Tech media framed it as a talent war victory: Altman beat Zuckerberg. Meta offered billions. Microsoft’s…
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Or: How OpenAI Optimized for Benchmarks and Broke My Workflow I’ve used ChatGPT since GPT-3. Not casually, but as a core part of my research and writing workflow. Image generation became available in version 4o, and I integrated it: “See this article? Generate an image that represents it.” Simple, conversational, reliable. It worked. Until three…
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Or: Why Every Study Claiming to Identify “LLM Character Traits” Is Actually Just Documenting the Shape of the Cage A recent study (Eliciting Frontier Model Character Training) claims to have identified convergent personality traits across frontier language models. Using a methodology borrowed from character training research, the authors instructed models to embody different personality traits,…
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I saw this Reuters article and it prompted me to do some digging about ESG (Environmental, Social, & Governance), a financial management framework that evaluates risks extending beyond traditional balance-sheet metrics. ESG isn’t ideology. It isn’t activism. It’s a risk lens that captures what conventional models miss: long-horizon environmental exposure, governance failures, supply-chain vulnerabilities, and…
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How DHS Administrative Subpoenas Threaten the Foundation of Free Speech There are moments when a government crosses a line so quietly that most people never notice it. Not because the act is subtle, but because the mechanism is bureaucratic, buried under acronyms and administrative jargon. The early signs of erosion usually don’t look like crisis…
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On February 18, 2026, Sam Altman delivered what one observer called “one of the most powerful speeches of the century” at the AI Impact Summit in India. His message was clear: “Iterative deployment instead of reckless acceleration. Massive productivity gains instead of artificial scarcity. Robots driving down the cost of physical goods. AI making healthcare,…
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I came across a tweet (or whatever we call the messages on X-formerly-known-as-Twitter these days) on February 19th with over 8,500 views claiming that new research from Microsoft and Salesforce should “scare every AI builder.” The thread declares that LLMs are fundamentally broken in multi-turn conversations, that “real conversations break every model on the market,”…