AI takes on a variety of meanings in content technology. Read more about the language algorithms, natural language processing, and machine learning that affects how content is organized and optimized.
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.
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.
Generative AI has the immense power to transform content production. After testing out many of the tools generally available, I’ve identified the best ways that writers can use popular AI writing generation tools for ideation, support, and research.
If an AI art-generator company creates a program that can download images at scale and then mash them all together at an end-user’s command, creating endless iterations of digital images "in the style of the Blue period," we'll soon have a much larger database with even more images tagged "Picasso."
