AI & Algorithms

It’s the annual “here’s how I build content and research client work” tool stack issue. Peep The Content Technologist's tool stack in 2023.

Artists face increasingly thorny questions about if, how, and where AI-powered work belongs in their oeuvre. Perhaps the workaround is to use AI to express human eccentricity — not mimic it.

In the rising world of automation and content proliferation, where search engines are already experimenting with embedding generative AI in their results, how do creators and businesses stand out? Reader experience may just hold the answer.

You can never truly own words, but you may have anxiety about feeding your web-based writing to the robots. While no content is entirely immune from plagiarism, options for reducing AI mimicry have their own pros and cons.

Iteration is a repetition of a process to solve a specific problem, and it’s a big part of how machine learning algorithms are developed. But the way devs and data scientists think about iteration doesn’t always match with editorial and entertainment industry production methodologies and norms.

Like humans, parrots comprehend. They understand options and make choices based on comprehension. While the stochastic output of an LLM can seem like an entity deciding or exercising creative thought patterns, it’s just an algorithm running on a computer.