Adobe introduces video generation capabilities for the Firefly AI model

Adobe introduces an artificial intelligence (AI) model that can use text prompts to generate videos.

The Firefly video model was announced Monday (October 14) as part of the company’s larger Adobe MAX product presentation.

The announcement comes on the heels the AI–driven Video tools from other technology companieslike OpenAI, ByteDance And Meta.

As report noted by Reuters, Adobe — faced with much larger competitors — has staked its fortunes on developing AI models trained on data it is authorized to use ensure The results can be legally used in commercial work.

The company will begin opening the tool to people on its waitlist, but has not provided a longer release date.

Adobe hasn’t announced any customers using its video toolsbut it is Imaging customers include PepsiCo, IBM, Mattel, IPG Health and Deloitte, which use the technology to “streamline workflows and scale content creation so creatives can spend more time exploring their creative visions,” Das said company in its announcement.

The launch comes 10 days after Meta launched Generative AI research This shows how custom videos and sounds can be created and existing videos can be edited with simple text input.

This AI model, called Meta Movie Gen, expands on the company’s previous generative AI models Make-A-Scene and Llama Picture, And combines the modalities of these models of previous generations And allows for further fine-grained control.

In other AI news, PYMNTS examined the rise of Monday AI agentsSoftware programs that perform specific tasks without constant supervision.

“Whether processing customer inquiries or diagnosing illnesses or AI agents can predict market trends versatile workhorses“, says the report. “Instead of waiting for humans to enter each command, these agents act autonomously, responding to real-time data and adjusting their actions accordingly.”

AI agents come in different variants, each with different abilities. The most basic are reactive agents, which respond to environmental changes but do not learn from experience. They are essentially rule followers who carry out instructions without error but do not anticipate what comes next.

“Proactive agents are more sophisticated,” PYMNTS wrote. “They can plan and anticipate future actions, making them useful for companies that need foresight. They don’t just react, they develop strategies. By analyzing patterns, they can often make predictions and optimize processes Real time.”