Optimization vs Generative AI
In that same Iterable study, marketers were asked which type of AI would make your jobs easier:
- Optimization – e.g., automatically recommending improvements
- Automation – e.g., machines automatically doing tasks without intervention
- Predictive – e.g., segment most likely to convert
- Generative – e.g., content creation
57% of respondents said they would pick optimization over any of the others, with Generative AI at 49% of respondents.
It’s interesting because what people are actually using AI for isn’t always the area we hope AI can optimize.
Adobe’s Firefly Trained On AI Competitors
Bloomberg reported recently that Adobe’s AI image generator Firefly included AI images generated by its competitors, including Midjourney, DALL•E 3, and Stable Diffusion, as well as Adobe Stock images.
This is problematic for two reasons:
- Adobe claimed it was “Commercial Safe”, unlike Midjourney
- It brings Firefly’s ethicality into question, wondering whether or not other AI models and artists were compensated by Adobe for their inputs
According to Adobe, only 5% of the AI-generated images used to train Firefly came from AI images created by other platforms. But according to Bloomberg, 14% (or 57 million) of Adobe Stock’s images are labeled AI-generated. 🤷♂️
My Current Favorite AI Tool: Cuppa
Cuppa uses AI to help marketers build optimized content in minutes with a choice of API keys and OpenAI models. Plus, it does it at the same cost as OpenAI without the upcharge of other tools.
Here’s the feature I’ve been using most: you can rewrite your content with AI by simply adding a URL using the OpenAI API and then connecting to Zapier. An optimized Alec is a happy Alec. 🤗
That’s it for today! I’ll be back in your inbox on Friday with 5 ideas to help you get in the 91% of marketers who use AI (just like in Iterable’s study).