Connect with us

Technologies

Nano Banana Pro Is Here: All the Changes in Google’s Popular AI Image Tool

You can dial your AI images up to 4K, thanks to Gemini 3. Less good is the ability to remove the AI watermarks.

The newest version of Google’s AI image model is here, thanks to Gemini 3. Whether you choose to call it by its official name (Gemini 3 Pro Image) or its better-known nickname (nano banana pro), this model uses Gemini’s «deep thinking» feature to create better content.

Nano banana pro promises to be more capable, specifically with generating legible text, using up to 14 reference images and creating images in resolutions up to 4K. 

Nano banana pro is available now, rolling out globally in the Gemini app. In Gemini, select «Create images» (with a 🍌 emoji) and switch your model to the Thinking model (located on the right side of the prompt window). 

You can use nano banana pro for free, but you will hit a generation limit faster than paying Google AI subscribers. Those plans start at $20 per month. You’ll be automatically switched back to the original model once you’ve used up your credits. The model is also available in the Gemini API, Google AI Studio and Flow.

Inside the new nano banana model

AI image generators have notoriously struggled to create clear text; mangled words have been clear signs that an image was created with AI. OpenAI’s GPT-Image-1 was one of the first models to make significant progress in fixing this, but CNET’s testing showed it wasn’t able to reliably create readable text.

Google says nano banana pro is supposed to be better at this — so good that you can use the new model to create infographics, relying on Gemini’s integration with Google Search (and Search’s AI Mode for paying Pro users) to aid the process. 

You might’ve noticed that none of the images made with nano banana pro have Google’s diamond-shaped watermark, which usually denotes that it was made with AI. That’s because Google is introducing a new way for its highest-paying subscribers (those paying $250 per month for the Ultra plan) to remove those watermarks. Even though it’s restricted to that top-tier plan, it’s already extremely difficult to tell if something was created with AI. Fewer watermarks won’t help. Google says Gemini will be able to identify any images made with its AI because of its SynthID, an invisible watermark attached to its AI-generated content. So in theory, you can upload an image to Gemini and ask whether it’s real or made with Google’s AI. We’ll have to wait and see how well it actually works.


Don’t miss any of our unbiased tech content and lab-based reviews. Add CNET as a preferred Google source.


The original nano banana model, Gemini 2.5 Flash Image, was released this summer. Early testers thought the capabilities were, well, bananas. Throw in a series of fruit-themed teasers from Google executives, and the model quickly became best known by its nickname, nano banana. Its popularity soared in the following days.

One of the things fans liked about the original nano banana was how well it maintained character consistency. Meaning nano banana was able to edit your existing photos without distorting the characters or people in them. CNET’s hands-on testing found this was true, but there were still obvious AI slip-ups. The new model might eliminate some of those errors.

It’s been a big week for Google as it dropped a major update to its AI system, Gemini 3. The new models are rolling out now, aiming to give Gemini users a smarter, less sycophantic experience.

For more, check out how to write the best AI image prompt and the best AI image generators.

Technologies

Google races to put Gemini at the center of Android before Apple’s AI reboot

Google is using its latest Android rollout to position Gemini as the AI layer across phones, Chrome, laptops and cars.

Google is using its latest Android rollout to make Gemini less of a chatbot and more of an operating layer across the phone, browser, car and laptop, just weeks before Apple is expected to show its own Gemini-powered Apple Intelligence reboot at WWDC.
Ahead of its Google I/O developer conference next week, the company previewed a number of Android updates, including AI-powered app automation, a smarter version of Chrome on Android, new tools for creators, a redesigned Android Auto experience, and a sweeping set of new security features.
Alphabet is counting on Gemini to help Google compete directly with OpenAI and Anthropic in the market for artificial intelligence models and services, while also serving as the AI backbone across its expansive portfolio of products, including Android. Meanwhile, Gemini is powering part of Apple’s new AI strategy, giving Google a role in the iPhone maker’s reset even as it races to prove its own version of personal AI on the phone is further along.
Sameer Samat, who oversees Google’s Android ecosystem, told CNBC that Google is rebuilding parts of Android around Gemini Intelligence to help users complete everyday tasks more easily.
“We’re transitioning from an operating system to an intelligence system,” he said.
As part of Tuesday’s announcements. Google said Gemini Intelligence will be able to move across apps, understand what’s on the screen and complete tasks that would normally require a user to jump between multiple services. That means Android is moving beyond the traditional assistant model, where users ask a question and get an answer, and acting more like an agent.
For instance, Google says Gemini can pull relevant information from Gmail, build shopping carts and book reservations. Samat gave the example of asking Gemini to look at the guest list for a barbecue, build a menu, add ingredients to an Instacart list and return for approval before checkout.
A big concern surrounding agentic AI involves software taking action on a user’s behalf without permissions. Samat said Gemini will come back to the user before completing a transaction, adding, “the human is always in the loop.”
Four months after announcing its Gemini deal with Google, Apple is under pressure to show a more capable version of Apple Intelligence, which has been a relative laggard on the market. Apple has long framed privacy, hardware integration and control of the user experience as its advantages.
Google’s Android push is designed to show it can bring AI deeper into the device experience while still giving users control over what Gemini can see, where it can act and when it needs confirmation.
The app automation features will roll out in waves, starting with the latest Samsung Galaxy and Google Pixel phones this summer, before expanding across more Android devices, including watches, cars, glasses and laptops later this year.
The company is also redesigning Android Auto around Gemini, turning the car into another major surface for its assistant. Android Auto is in more than 250 million cars, and Google says the new release includes its biggest maps update in a decade and Gemini-powered help with tasks like ordering dinner while driving.
Alphabet’s AI strategy has been embraced by Wall Street, which has pushed the company’s stock price up more than 140% in the past year, compared to Apple’s roughly 40% gain. Investors now want to see how Gemini can become more central to the products people use every day.
WATCH: Alphabet briefly tops Nvidia after report of $200 billion Anthropic cloud deal

Continue Reading

Technologies

Waymo recalls 3,800 robotaxis after glitch allowed some vehicles to ‘drive into standing water’

Waymo issued a voluntary recall of about 3,800 of its robotaxis to fix software issues that could allow them to drive into flooded roadways.

Waymo is recalling about 3,800 robotaxis in the U.S. to fix software issues that could allow them to “drive onto a flooded roadway,” according to a letter on the National Highway Traffic Safety Administration’s website.
The voluntary recall is for Waymo vehicles that use the company’s fifth and sixth generation automated driving systems (or ADS), the U.S. auto safety regulator said in the letter posted Tuesday.
Waymo autonomous vehicles in Austin, Texas, were seen on camera driving onto a flooded street and stalling, requiring other drivers to navigate around them. It’s the latest example of a safety-related issue for the Alphabet-owned AV unit that’s rapidly bolstering its fleet of vehicles and entering new U.S. markets.
Waymo has drawn criticism for its vehicles failing to yield to school buses in Austin, and for the performance of its vehicles during widespread power outages in San Francisco in December, when robotaxis halted in traffic, causing gridlock.
The company said in a statement on Tuesday that it’s “identified an area of improvement regarding untraversable flooded lanes specific to higher-speed roadways,” and opted to file a “voluntary software recall” with the NHTSA.
“Waymo provides over half a million trips every week in some of the most challenging driving environments across the U.S., and safety is our primary priority,” the company said.
Waymo added that it’s working on “additional software safeguards” and has put “mitigations” in place, limiting where its robotaxis operate during extreme weather, so that they avoid “areas where flash flooding might occur” in periods of intense rain.
WATCH: Waymo launches new autonomous system in Chinese-made vehicle

Continue Reading

Technologies

Qualcomm tumbles 13% as semiconductor stocks retreat from historic AI-fueled surge

Semiconductor equities reversed sharply after a broad AI-driven advance, with Qualcomm suffering its worst day since 2020 amid inflation concerns and rising oil prices.

Semiconductor stocks fell sharply on Tuesday, reversing course after an extensive rally that had expanded the artificial intelligence investment theme well past Nvidia and driven the industry to unprecedented levels.

Qualcomm plunged 13% and was on track for its steepest single-day decline since 2020. Intel shed 8%, while On Semiconductor and Skyworks Solutions each lost more than 6%. The iShares Semiconductor ETF, which benchmarks the overall sector, fell 5%.

The sell-off came after a key gauge of consumer prices came in above forecasts, and as conflict in Iran pushed crude oil higher—prompting investors to shift away from riskier assets.

The preceding advance had widened the AI opportunity set beyond longtime industry leader Nvidia, which for much of the past several years had largely carried the market to new peaks on its own.

Explosive appetite for central processing units, along with the graphics processing units that power large language models, has sent chipmakers to all-time highs.

Market participants are wagering that the shift from AI model training to autonomous agents will lift demand for additional AI hardware. Among the beneficiaries are memory chip producers, which are raising prices as supply remains tight.

Micron Technology slid 6%, and Sandisk cratered 8%. Sandisk’s stock has surged more than six times over since January.

Continue Reading

Trending

Copyright © Verum World Media