A production AI prompt is rarely written in one piece. It’s assembled. There’s a system policy, organization-wide instructions, the application’s own context, a user profile, the task at hand, and…
AeraHUB 26 NYC will bring enterprise leaders, technology executives and decision-intelligence specialists to Pier Sixty in New York City on October 27–28, 2026, for two days focused on a rapidly…
No serious AI product runs on one model anymore. Teams call OpenAI for one task, Anthropic for another, Google for long documents, and a local open-weight model for anything sensitive or cheap. Every…
Developers depend on repositories for everything: npm packages, Python wheels, container images, model weights, datasets, build artifacts. Almost all of them live on someone else’s servers. When the…
Software gets abandoned all the time. A maintainer moves on, a startup shuts down, a vendor retires an API, a plugin stops getting updates. The code that depended on it doesn’t disappear. It keeps…
The fifth annual CAIS Alternative Investment Summit will bring more than 1,250 financial advisors, alternative asset managers and bank issuers to the Beverly Hilton in Beverly Hills, California, from…
Every codebase carries migrations nobody wants to do by hand. A framework ships a new major version. GitHub deprecates an Actions syntax. A config format changes. An internal API gets renamed across…
Syndication is an old media word. Newspapers syndicated columns and blogs syndicated through RSS. Then social platforms made “post everywhere” feel like the whole job, and the word faded. It’s due for…
Every AI feature in production is a stream of inference calls. Each one has a model, a prompt size, an output size, a latency, a cost, a set of parameters, a cache hit or miss, and an outcome. Most…
Reservoir computing is an established branch of machine learning built on a simple, almost contrarian idea. Instead of training a huge network end to end, you feed input into a fixed, randomly…