People talk about the effectiveness (or lack thereof) of large language models as though all tasks are comparable. But it strikes me that there are three broad categories of work that large language models are applied to: Compression. Transformation. Expansion. Go to...

As OpenAI and Anthropic talk about going public, everyone is fascinated. These two companies with battling CEOs make up the drama of today’s AI industry. And as more information comes out from their public offering, everyone is wondering how they will compete with...

In domain-heavy enterprise development — where context is tacit, complexity is deep, and experienced judgment is irreplaceable — what does meaningful AI adoption actually look like? Not in a startup. Not in a greenfield project. In a real system, with real...

Headless everything for personal AI. Matt Webb thinks headless services are about to become much more common: Why? Because using personal AIs is a better experience for users than using services directly (honestly); and headless services are quicker and more...

If you write a manifesto about AI transformation and never once use the word "knowledge"… you might be missing what AI actually runs on. McKinsey just published their AI Transformation Manifesto. 12 themes distilled from hundreds of large-scale AI...

The organizations most likely to shape the enterprise AI era are those that can embed intelligence directly into operational platforms. Go to Source