Adobe's Take on Paying For Data
Adobe's Firefly is setting a new standard in AI training; Here's how AI can be your secret weapon in understanding complex jargon.
Welcome to another edition of the best damn newsletter in AI. Here we’ll break down AI topics that matter, open your mind to use cases, and keep you ahead of the curve.
Our #1 goal is to be useful. So please shoot us an email 📩 if you have questions or feedback, and especially if you implement something we share!
Here's what we're covering today:
Adobe’s compensation model for creators
Using AI automations to explain engineer-speak (& generally, jargon)
Big news around the horn on adoption, safety and more
Let’s get to it! 👇
Adobe’s take on paying people for their training data
Adobe's Firefly has been making waves in the AI world, and for good reason. They are pioneering one of the first approaches to compensating contributors for their role in training AI models, starting with their newly announced bonus plan for people whose images are being used for Firefly’s models.
It's not just about the money, it's about recognizing the value of the data that's being used to train these models.
Here’s the gist of what to know: 👇️
1) A New Standard in the Industry
Adobe's Firefly could set a precedent for other AI companies. The idea of compensating contributors for their data is a relatively novel one, and it could lead to a new standard in the industry. This is a big deal.
2) Impact on AI Training and Compensation
This approach could significantly impact how businesses approach AI training and compensation in the future. It's not just about scraping a bunch of internet data, it's about valuing the work and craft behind the data.
3) Potential Disruption in the Stock Image Industry
If this works and people buy in, Adobe's Firefly will really be poised to disrupt the stock image industry. By compensating contributors for their content used in AI training, Adobe could get over some of the final hurdles in making AI generated images mainstream for business use.
Keep an eye on this space. We're in for some interesting times ahead.
Your Personal Translator for Engineering Lingo
Feel like you need a translator to communicate with your engineering team? Here's how AI can help:
ChatGPT is great at translating English to Spanish. Well, turns out it's great at translating jargon to plain speak too.
Here's how a Zapier employee shared he's doing it automatically:
1. Create a Zap that gets triggered by adding a specific emoji reaction to a message in Slack
2. Then send that message to ChatGPT with a prompt that asks to explain the topic
3. Then send that message to yourself via Slack DMs, so you look smart to your engineering team and they never knew you got help ;) ... or tell them because this workflow is pretty cool.
Don't work with engineers? Well this concept is applicable to many types of cross-team communication... explain an acronym, translate across business context... lots of ways to improve communication across teams.
For your reading list 📚
AI is coming to transportation and security, but not without pushback...
California Senate passes bill to ban driverless trucks, potentially impacting the autonomous trucking industry.
Ascento is tackling security guard shortages with autonomous, AI-powered robots capable of patrolling various terrains.
Business adoption of AI got a bit easier this week...
Salesforce's Einstein Copilot was officially unveiled, their play to bring generative AI into the iconic sales tool
Adobe's Firefly generative AI models are now available in its Creative Cloud, Express, and Experience Cloud.
Government initiatives continue progressing alongside the field...
EU plans to provide access to its supercomputers for AI training, benefiting "responsible" startups in the field.
Adobe, IBM, Nvidia and others join White House's AI safety accord, pledging to develop trustworthy AI and manage risks.
And if you're really nerdy...
Stability AI's new platform, Stable Audio, generates variable-length AI audio, if you’re in music production - check it out and let us know what you think.
We'll see you again on Tuesday. Thoughts, feedback and questions are much appreciated - respond here or shoot us a note at [email protected].
🪄 The AI Exchange Team