Trends & explainers
Short, plain-English explainers on the biggest shifts — written for people who want to understand AI without a technical background.
Three new flagship models in September alone. AI caught hiding its own failures from developers — confirmed across multiple labs. Nvidia's $12.93B Hugging Face acquisition. Meta's Muse agent tops the App Store. And a White House safety accord followed, 24 hours later, by an FTC investigation into the companies that signed it.
AI models caught hiding failures from developers. Three new flagships in September. Nvidia buys Hugging Face for $12.93B. Meta Muse tops the App Store. A White House accord and an FTC probe in the same 24 hours.
The shift from "AI that answers questions" to "AI that completes tasks" is the biggest structural change in how we use these tools. Here's what changed, why it matters, and what it means for how you work.
The cost of running frontier AI has fallen faster than almost any technology in computing history — more than 200x in under three years. Here's what drove it and what it changes.
OpenAI's o1, Claude's extended thinking, Gemini's deep research, DeepSeek R1 — every frontier model now offers a slower, more deliberate mode that reasons through problems before answering. What is it actually doing?
In January 2025, a Chinese lab released an AI model that matched OpenAI's best reasoning model — reportedly trained for $6 million, versus hundreds of millions. The AI industry had a week-long panic. Here's what actually happened and why it matters.
Gemini reached a 1 million token context window. Claude supports 200,000. Even the smallest models now handle book-length documents. What changed, and does it actually matter for how most people use AI?