Why Dove refuses to use AI-generated images

Welcome to your daily spud-tacular update, where we peel back the layers of AI, one crispy, golden slice at a time. 🍟

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DOVE PLEDGES TO NEVER USE AI-GENERATED IMAGERY IN ADS 🧼

By 2025, AI is predicted to generate 90% of online content. 🤖

What’s new? In a campaign to “Keep Beauty Real,” Dove, renowned for its two-decade-long dedication to celebrating authentic beauty, has pledged to never use AI-generated imagery to represent “real bodies” in its advertising campaigns.

Why? Dove reaffirmed its commitment to featuring genuine photographs of people while advocating for the creation of more diverse AI-generated images based on prompts regarding beauty. This commitment stems from Dove’s dedication to genuine human beauty and addressing the beauty biases often depicted in AI-generated images, as according to Dove, such images “can be harmful and should be improved.” In its endeavor to champion real beauty, Dove not only refuses to use AI-generated imagery but also provides consumers with tools to influence AI prompts for more inclusive results. Through this bold stance, Dove continues to lead the charge in fostering positive body image and self-esteem in the digital age.

META INTRODUCES PROPRIETARY AI CHIP 💻

Facebook is hiring, but there is no need to apply—they already have all your details. 🙃

What’s new? Meta has introduced an updated generation of proprietary AI chips tailored for their AI workloads.

Want the background? Last year’s Meta Training and Inference Accelerator (MTIA) v1 (previously called Artemis) laid the groundwork for this project, serving as the first-generation AI inference accelerator designed in-house to cater specifically to Meta’s deep learning recommendation models. This next generation of MTIA promises three times greater compute and memory bandwidth, poised to efficiently serve the complex models vital to Meta’s AI-powered offerings. Particularly, this latest version not only significantly improves performance compared to the last generation but will also help power Meta’s ranking and recommendation models for ads on Facebook and Instagram.

What’s the significance? With the rapid development of AI systems, the demand for AI chips is at an all-time high. However, this means large tech companies are at the mercy of chip manufacturers like Nvidia, AMD, and most recently Intel. This limited supply means high prices and bottlenecks for development, so companies like Meta who find ways to produce in-house chips to power their AI functions will have a giant advantage in the space.

THE WEATHER CHANNEL INTRODUCES AI SHORT-FORM FORECASTS 🌦️

I tried to catch some fog, but I mist. 🌬️

What’s new? The Weather Company, the parent company of The Weather Channel, has introduced ReelSphere, an AI-powered tool designed to streamline weather video production for meteorologists.

How does it work? ReelSphere taps into an undisclosed large language model to generate location-specific graphics, seamlessly connecting with The Weather Company’s Max platform, where they store real-time weather data. This groundbreaking technology automatically integrates captions, graphics, and hyperlocal weather overlays into short-form video weather reports, mimicking the style of a local meteorologist with an AI-generated voice.

Why? The goal is to make it easier for local weather people to present real-time weather information on different platforms and keep up with the demand for current, accurate local weather reports.

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