As software firms, including Adobe, continue to introduce AI-related technologies in their foundational products, including Photoshop and Express, the buzz surrounding generative artificial intelligence has increased.
How generative artificial intelligence may support users in their creative process rather than replace jobs was one of the hot topics at MAX, Adobe’s annual conference that brought professionals from the creative sectors together under one roof. The three-day conference that wrapped on Thursday in Los Angeles featured new AI tools from Adobe that garnered attention for being game-changing, but many also raised concerns about the drawbacks of Gen AI technology.
In retrospect, the iPhone revolution significantly changed our culture in both positive and negative ways. The best approach to adopt mobile technology, internet technology, cloud technology, and each of those waves of innovation and disruption, is still something we’re figuring out. Although Gen AI will have a significant impact, I believe we will also continue to struggle with how we want to implement this.
As software firms, including Adobe, continue to introduce AI-related technologies in their foundational products, including Photoshop and Express, the buzz surrounding generative artificial intelligence has increased.
Since we debuted Adobe Firefly six months ago, our stock business has grown in terms of contributors, content supplied, and content licensing, which puts more money in the hands of our contributors. Speaking to the Asian press, Greenfield stated that it had not at all had a negative effect.
Earlier this year, Adobe released Firefly, a generative AI tool that enables users to edit photographs by just typing commands. Many of Adobe’s most recent announcements at MAX this year concentrated on AI, notably how Firefly would interact with the company’s Creative Cloud products, Photoshop, Illustrator, InDesign, and Premiere Pro. In fact, since March, Adobe’s Gen AI imaging tool has produced almost 3 billion photographs.
While there is an increasing clamor for regulation, a heated topic in Washington in recent months, critics are now criticizing Big Tech for the escalating costs needed to run these Gen AI technologies.
“The cost of running the models that we built is actually much less expensive than the large language models, partly because of a different architecture and partially because they are smaller,” Greenfield said. Greenfield mentioned that the business is actively investing in the technology to make it more efficient in the future, even though he withheld the cost of creating and maintaining the program.
It’s not the price, he said. One of our technologists only last week, while we were completing the Firefly Image 2 model, discovered a technique to run it twice as fast for the same price. Speed and price are typically two sides of the same coin. We could run it more slowly, but it would cost more. In this instance, we opted to execute it more quickly for the same price and benefit the users.
Building and operating generative AI models like Adobe’s Firefly is expensive. They need the best engineers, specialized processors, data servers, and processing power.
This technology is still in its infancy, therefore we are seeing a lot of speedy returns. The price is rapidly decreasing,”
Using a hybrid model is one strategy Adobe is using to reduce the expense of maintaining these imaging models. “We are looking at bringing these models into a hybrid world that they run partially on the device and partially in the cloud,” explains Greenfield.
“Many of our clients and creative professionals work with strong equipment. We love to be able to capitalize on those and offer consumers even more affordable and accessible simpler ways to use this technology using their local device, and perhaps using the cloud for the truly high quality, high definition renderings,”