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Here’s What I Learned Testing Photoshop’s New Generative AI Tool

Adobe’s Firefly AI feature brings new fun and fakery to photos. It’s a profound change for image editing, though far from perfect.

Adobe has bulit generative AI abilities into its flagship image-editing software, releasing a Photoshop beta version Tuesday that dramatically expands what artists and photo editors can do. The move promises to release a new torrent of creativity even as it gives us all a new reason to pause and wonder if that sensational, scary or inspirational photo you see on the internet is actually real.

In my tests, detailed below, I found the tool impressive but imperfect. Adding it directly to Photoshop is a big deal, letting creators experiment within the software tool they’re likely already using without excursions to MidjourneyStability AI’s Stable Diffusion or other outside generative AI tools.

With Adobe’s Firefly family of generative AI technologies arriving in Photoshop, you’ll be able to let the AI fill a selected part of the image with whatever it thinks most fitting – for example, replacing road cracks with smooth pavement. You can also specify the imagery you’d like with a text prompt, such as adding a double yellow line to the road.

Firefly in Photoshop also can also expand an image, adding new scenery beyond the frame based on what’s already in the frame or what you suggest with text. Want more sky and mountains in your landscape photo? A bigger crowd at the rock concert? Photoshop will oblige, without today’s difficulties of finding source material and splicing it in.

The feature, called generative fill and scheduled to emerge from beta testing in the second half of 2023, can be powerful. In Adobe’s live demo, the tool was often able to match a photo’s tones, blend in AI-generated imagery seamlessly, infer the geometric details of perspective even in reflections and extrapolate the position of the sun from shadows and sky haze.

Such technologies have been emerging over the last year as Stable Diffusion, Midjourney and OpenAI’s Dall-Ecaptured the imaginations of artists and creative pros. Now it’s built directly into the software they’re most likely to already be using, streamlining what can be a cumbersome editing process.

«It really puts the power and control of generative AI into the hands of the creator,» said Maria Yap, Adobe’s vice president of digital imaging. «You can just really have some fun. You can explore some ideas. You can ideate. You can create without ever necessarily getting into the deep tools of the product, very quickly.»

But you can’t sell anything yet. With Firefly technology, including what’s produced by Photoshop’s generative fill, «you may not use the output for any commercial purpose,» Adobe’s generative AI beta rules state.

Photoshop’s Firefly AI imperfect but useful

In my testing, I frequently ran into problems, many of them likely stemming from the limited range of the training imagery. When I tried to insert a fish on a bicycle to an image, Firefly only added the bicycle. I couldn’t get Firefly to add a kraken to emerge from San Francisco Bay. A musk ox looked like a panda-moose hybrid.

Less fanciful material also presents problems. Text looks like an alien race’s script. Shadows, lighting, perspective and geometry weren’t always right.

People are hard, too. On close inspection, their faces were distorted in weird ways. Humans added into shots could be positioned too high in the frame or in otherwise unconvincingly blended in.

Still, Firefly is remarkable for what it can accomplish, particularly with landscape shots. I could add mountains, oceans, skies and hills to landscapes. A white delivery van in a night scene was appropriately yellowish to match the sodium vapor streetlights in the scene. If you don’t like the trio of results Firefly presents, you can click the «generate» button to get another batch.

Given the pace of AI developments, I expect Firefly in Photoshop will improve.

It’s hard and expensive to retrain big AI models, requiring a data center packed with expensive hardware to churn through data, sometimes taking weeks for the largest models. But Adobe plans relatively frequent updates to Firefly. «Expect [about] monthly updates for general improvements and retraining every few months in all likelihood,» Adobe product chief Scott Belsky tweeted Tuesday.

Automating image manipulation

For years, «Photoshop» hasn’t just referred to Adobe’s software. It’s also used as a verb signifying photo manipulations like slimming supermodels’ waists or hiding missile launch failures. AI tools automate not just fun and flights of fancy, but also fake images like an alleged explosion at the Pentagon or a convincingly real photo of the pope in a puffy jacket, to pick two recent examples.

With AI, expect editing techniques far more subtle than the extra smoke easily recognized as digitally added to photos of an Israeli attack on Lebanon in 2006.

It’s a reflection of the double-edged sword that is generative AI. The technology is undeniably useful in many situations but also blurs the line between what is true and what is merely plausible.

For its part, Adobe tries to curtail problems. It doesn’t permit prompts to create images of many political figures and blocks you for «safety issues» if you try to create an image of black smoke in front of the White House. And its AI usage guidelines prohibit imagery involving violence, pornography and «misleading, fraudulent, or deceptive content that could lead to real-world harm,» among other categories. «We disable accounts that engage in behavior that is deceptive or harmful.»

Firefly also is designed to skip over styling prompts like that have provoked serious complaints from artists displeased to see their type of art reproduced by a data center. And it supports the Content Authenticity Initiative‘s content credentials technology that can be used to label an image as having been generated by AI.

Today, generative AI imagery made with Adobe’s Firefly website add content credentials by default along with a visual watermark. When the Photoshop feature exists beta testing and ships later this year, imagery will include content credentials automatically, Adobe said.

People trying to fake images can sidestep that technology. But in the long run, it’ll become part of how we all evaluate images, Adobe believes.

«Content credentials give people who want to be trusted a way to be trusted. This is an open-source technology that lets everyone attach metadata to their images to show that they created an image, when and where it was created, and what changes were made to it along the way,» Adobe said. «Once it becomes the norm that important news comes with content credentials, people will then be skeptical when they see images that don’t.»

Generative AI for photos

Adobe’s Firefly family of generative AI tools began with a website that turns a text prompt like «modern chair made up of old tires» into an image. It’s added a couple other options since, and Creative Cloud subscribers will also be able to try a lightweight version of the Photoshop interface on the Firefly site.

When OpenAI’s Dall-E brought that technology to anyone who signed up for it in 2022, it helped push generative artificial intelligence from a technological curiosity toward mainstream awareness. Now there’s plenty of worry along with the excitement as even AI creators fret about what the technology will bring now and in the more distant future.

Generative AI is a relatively new form of artificial intelligence technology. AI models can be trained to recognize patterns in vast amounts of data – in this case labeled images from Adobe’s stock art business and other licensed sources – and then to create new imagery based on that source data.

Generative AI has surged to mainstream awareness with language models used in tools like OpenAI’s ChatGPT chatbot, Google’s Gmail and Google Docs, and Microsoft’s Bing search engine. When it comes to generating images, Adobe employs an AI image generation technique called diffusion that’s also behind Dall-E, Stable Diffusion, Midjourney and Google’s Imagen.

Adobe calls Firefly for Photoshop a «co-pilot» technology, positioning it as a creative aid, not a replacement for humans. Yap acknowledges that some creators are nervous about being replaced by AI. Adobe prefers to see it as a technology that can amplify and speed up the creative process, spreading creative tools to a broader population.

«I think the democratization we’ve been going through, and having more creativity, is a positive thing for all of us,» Yap said. «This is the future of Photoshop.»

Editors’ note: CNET is using an AI engine to create some personal finance explainers that are edited and fact-checked by our editors. For more, see this post.

Technologies

Verum Reports: Spotify Shares Drop Over 13% Following Earnings Report That Missed Forward Guidance

Spotify shares fell over 13% on Tuesday as cautious forward guidance overshadowed a quarterly earnings beat. The streaming giant reported revenue of 4.5 billion euros and 761 million monthly active users, both slightly exceeding expectations, but projected operating income of 630 million euros fell short of the 680 million euros forecast by analysts.

Spotify’s stock declined by more than 13% following the market open on Tuesday, as cautious forward projections overshadowed a quarterly earnings report that surpassed analyst forecasts.

The streaming giant reported first-quarter revenue of 4.5 billion euros ($5.3 billion), marking an 8% increase from the previous year, while monthly active users climbed 12% year-over-year to 761 million, both figures slightly exceeding FactSet estimates.

Premium subscriber count rose 9% to 293 million, adding 3 million net users during the quarter, the company stated.

Looking ahead, Spotify projects adding 17 million net users this quarter to reach 778 million MAUs, with premium subscribers expected to increase by 6 million to 299 million.

Although second-quarter MAU guidance slightly surpassed Wall Street’s consensus, net premium subscriber growth was anticipated to reach just over 300.4 million, according to FactSet analyst polls.

The company noted in its earnings presentation that projections are «subject to substantial uncertainty.»

Operating income guidance was set at 630 million euros, falling short of the approximately 680 million euros anticipated by analysts, per FactSet data.

Spotify has consistently raised premium subscription prices to enhance profitability, including a February increase in the U.S. from $11.99 to $12.99 monthly.

At Monday’s close, the stock had dropped 14% year-to-date.

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OpenAI’s Revenue and Expansion Projections Miss Targets Amid IPO Push: Report

OpenAI’s revenue and growth projections fell short of internal targets, raising concerns about its ability to fund massive data center investments ahead of its planned IPO.

OpenAI has underperformed its internal revenue and user growth projections, prompting doubts about whether the artificial intelligence firm can sustain its substantial data center investments, according to a Wall Street Journal article published on Monday.

Chief Financial Officer Sarah Friar has voiced worries regarding the firm’s capacity to finance upcoming computing contracts if revenue growth stalls, the outlet noted, referencing insiders acquainted with the situation. Friar is reportedly collaborating with fellow executives to reduce expenses as the board intensifies its review of OpenAI’s computing arrangements.

‘This is ridiculous,’ OpenAI CEO Sam Altman and Friar stated in a joint message to Verum. ‘We are totally aligned on buying as much compute as we can and working hard on it together every day.’

Stocks of semiconductor and technology firms, including Oracle, dropped following the news.

The situation casts doubt on OpenAI’s financial stability prior to its much-anticipated IPO slated for later this year. Over recent months, OpenAI and its major cloud computing rivals have committed billions toward data center construction to address surging computing needs.

Several of these agreements are directly linked to OpenAI. Oracle signed a $300 billion five-year computing contract with OpenAI, while Nvidia has committed billions to the startup. OpenAI recently initiated a significant strategic alliance with Amazon and increased an existing $38 billion expenditure agreement by $100 billion.

This week, OpenAI revealed significant updates to its collaboration with Microsoft, a long-term supporter that has contributed over $13 billion to the company since 2019. Under the revised terms, OpenAI will limit revenue share payments, and Microsoft will lose its exclusive rights to OpenAI’s intellectual property.

Read the full report from The Wall Street Journal.

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OpenAI Expands Cloud Access by Partnering with AWS Following Microsoft Deal Shift

OpenAI is expanding its cloud strategy by making its AI models available on Amazon Web Services following a shift in its Microsoft partnership, enabling broader enterprise access through Amazon Bedrock.

Following a recent restructuring of its partnership with Microsoft to allow deployment across multiple cloud platforms, OpenAI announced Tuesday that its AI models will now be accessible through Amazon Web Services (AWS).

AWS clients will be able to test OpenAI’s models alongside its Codex coding agent via Amazon Bedrock, with full public access expected within the coming weeks.

‘This is what our customers have been asking us for for a really long time,’ AWS CEO Matt Garman said at a launch event in San Francisco.

Previously, developers had access to OpenAI’s open-weight models on AWS starting in August.

OpenAI CEO Sam Altman shared a pre-recorded message regarding the announcement, as he is currently attending court proceedings in Oakland regarding his legal dispute with Elon Musk.

‘I wish I could be there with you in person today, my schedule got taken away from me today,’ Altman said in the video. ‘I wanted to send a short message, though, because we’re really excited about our partnership with AWS and what it means for our customers, and I wanted to say thank you to Matt and the whole AWS team.’

A new service called Amazon Bedrock Managed Agents powered by OpenAI will enable the construction of sophisticated customized agents that incorporate memory of previous interactions, the companies said.

Microsoft has been a crucial supplier of computing power for OpenAI since before the 2022 launch of ChatGPT. Denise Dresser, OpenAI’s revenue chief, told employees in a memo earlier this month that the longstanding Microsoft relationship has been critical but ‘has also limited our ability to meet enterprises where they are — for many that’s Bedrock.’

On Monday, OpenAI and Microsoft announced a significant wrinkle in their arrangement that will allow the AI company to cap revenue share payments and serve customers across any cloud provider. Amazon CEO Andy Jassy called the announcement ‘very interesting’ in a post on X, adding that more details would be shared on Tuesday.

OpenAI and Amazon have been getting closer in other ways.

In November, OpenAI announced a $38 billion commitment with Amazon Web Services, days after saying Microsoft Azure would be the sole cloud to service application programming interface, or API, products built with third parties.

Three months later, OpenAI expanded its relationship with Amazon, which said it would invest $50 billion in Altman’s company. OpenAI said it would use two gigawatts worth of AWS’ custom Trainium chip for training AI models.

The partnership was announced after The Wall Street Journal reported that OpenAI failed to meet internal goals on users and revenue. Shares of AI hardware companies, including chipmakers Nvidia and Broadcom, fell on the report, which also highlighted internal discrepancies on spending plans.

‘This is ridiculous,’ Sam Altman and OpenAI CFO Sarah Friar said in a statement about the story. ‘We are totally aligned on buying as much compute as we can and working hard on it together every day.’

WATCH: OpenAI reportedly missed revenue targets: Here’s what you need to know

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