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Yepic fail: This startup promised not to make deepfakes without consent, but did anyway

techcrunch.com

U.K.-based startup Yepic AI claims to use “deepfakes for good” and promises to “never reenact someone without their consent.” But the company did exactly what it claimed it never would.

In an unsolicited email pitch to a TechCrunch reporter, a representative for Yepic AI shared two “deepfaked” videos of the reporter, who had not given consent to having their likeness reproduced.

Paragraphica

bjoernkarmann.dk

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.

Captcha Is Asking Users to Identify Objects That Don’t Exist

vice.com

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.”

Brex’s Prompt Engineering Guide

github.com

[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.