Automation can help us with the most mundane part of our content management jobs. It can also be a royal pain in the neck. Read all posts about automation.
Instead of trucks and newsstands, in 2024 we have web- and social network-based aggregator systems that pipe content directly to consumers via software. Navigating algorithmic distribution is a necessary challenge. Here are some tips.
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.
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."