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Adobe Releases Firefly Generative AI Video Tools In Beta
The model powers new features such as Generative Extend and text-to-video, with tools also coming to Photoshop and Frame.io.
Adobe has officially entered the generative AI (GAI) arena by rolling out its Firefly Video Model, designed to power various features across the company’s extensive suite of apps. At Adobe MAX, the company announced that several of these new tools are now available in beta.
One of the standout features, known as Generative Extend, was first previewed earlier this year within Adobe Premiere Pro. The tool enables editors to add AI-generated footage or audio to either the start or end of a clip, which can be particularly helpful when a necessary shot is missing, or the transition feels incomplete.
In September, Adobe also showcased additional tools, including a text-to-video feature similar to those from OpenAI and Meta, as well as image-to-video capabilities. Both of these tools are now available in beta within the Firefly web app — though access may require joining a waitlist.
Like other Firefly models, the Firefly Video Model and its associated features are designed with commercial safety in mind. Content Credentials watermarks are automatically applied to any AI-generated content.
On the Photoshop front, Adobe has also rolled out features that were previewed earlier this year. The latest Firefly Image Model powers Generative Fill and Generative Expand, which Adobe says can create images up to four times faster than before. There’s also the new Generate Similar tool, which allows users to create alternate versions of an object in a photo until they find the ideal match.
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Additionally, Photoshop’s Remove tool has been enhanced with a feature called Distraction Removal. This new option lets users quickly erase certain elements, such as wires, cables, or even people, from images — similar to Google’s Magic Eraser.
Finally, Frame.io V4 has launched, marking the largest update to Adobe’s collaborative platform since its debut nearly a decade ago. With a full redesign aimed at enhancing workflows and improving the video player, the update also introduces support for Canon, Nikon, and Leica’s Camera to Cloud (C2C) feature, meaning most major manufacturers now support direct uploads of photos and videos to Frame.io.
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NVIDIA Puts GPT-5.5 Codex In Hands Of 10,000 Staff
The chipmaker has significantly expanded OpenAI’s latest model across teams from engineering to HR under tight internal controls.
NVIDIA has started rolling out OpenAI’s GPT-5.5 model through the Codex coding agent to more than 10,000 employees, extending the tool well beyond software teams and into core business functions.
The deployment covers engineering, product, legal, marketing, finance, sales, HR, operations and developer programs. Staff are using Codex for coding, internal research and routine knowledge work as companies test whether AI agents can move from demos to daily use.
GPT-5.5 is running on NVIDIA’s GB200 NVL72 rack-scale systems, linking OpenAI’s newest model directly to the chipmaker’s latest infrastructure push. NVIDIA said the systems cut cost per million tokens by 35 times and raise token output per second per megawatt by 50 times versus earlier generations.
Inside the company, it says the effects are immediate. Debugging work that once took days is being finished in hours and experiments across large codebases that used to stretch over weeks are now handled overnight. Teams are also building features from natural-language prompts with fewer failed runs.
In a company-wide note urging staff to adopt the tool, CEO Jensen Huang wrote: “Let’s jump to lightspeed. Welcome to the age of AI.”
Security remains central to the rollout. Codex can connect through Secure Shell to approved cloud virtual machines, allowing agents to work with company data without moving it outside approved environments. NVIDIA said it assigned cloud VMs to employees so agents run in isolated sandboxes with full audit trails.
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The company added that the setup uses a zero-data-retention policy. Access to production systems is read-only through command-line tools and internal automation layers.
The move also highlights NVIDIA’s long relationship with OpenAI. NVIDIA said the partnership began in 2016, when Huang personally delivered the first DGX-1 AI supercomputer to OpenAI’s San Francisco office.
The two companies have since worked across hardware and model deployment. NVIDIA also said OpenAI plans to deploy more than 10 gigawatts of NVIDIA systems for future AI infrastructure.
For Gulf markets pouring money into sovereign AI and enterprise automation, the signal is clear: internal AI agents are moving from pilot phase to standard tooling.
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