ai

Want to really understand how large language models work? Here’s a gentle primer.

…this is just as unhinged as the real thing. AI Trump vs Biden debate.

The camera operates by collecting data from its location using open APIs. Utilizing the address, weather, time of day, and nearby places. Combining all these data points Paragraphica composes a paragraph that details a representation of the current place and moment.

Using a text-to-image AI, the camera converts the paragraph into a “photo”.

The resulting “photo” is not just a snapshot, but a complex and nuanced reflection of the location you are at, and perhaps how the AI model “sees” that place.

The issue with hCaptcha’s strange AI generated prompts highlights two issues with machine learning systems. The first is that the AI systems require an enormous amount of human input to not be terrible. Typically image labeling is outsourced to foreign workers who do it for pennies on the dollar. The other is the issue of data drift. The longer these machine learning systems run, the more input they require. Inevitably, they begin to use data they’ve generated to train themselves. Systems that train on themselves long enough become AI Hapsburgs, churning out requests to identify incomprehensible objects like “Yokos.”

[This is] based on lessons learned from researching and creating Large Language Model (LLM) prompts for production use cases. It covers the history around LLMs as well as strategies, guidelines, and safety recommendations for working with and building programmatic systems on top of large language models, like OpenAI’s GPT-4.

Use and compare all the popular LLMs

AI generated mashup of Star Wars and Wes Anderson movies.

Like I said, it [the group chat] is a sacred construct. A lifeline to your best friends, an outlet for the thoughts and questions and breadcrumbs of internet humor that you just can’t send to anyone else. A constant companion, antagonist, distraction, delight.

So of course, I decided to replace mine with AI.

Too many hosts, too much talk about ChatGPT. Chaos.

Our tool adds very small changes to Karla’s original artwork before it is posted online. These changes are barely visible to the human eye, meaning that the artwork still appears nearly identical to the original, while still preventing AI models from copying Karla’s style. We refer to these added changes as a “style cloak” and changed artwork as “cloaked artwork.”