Technologies
I Tried Gemini’s ‘Nano Bananas’ for Image Editing. The AI Slipups Were Obvious
Google’s new AI model is good at some tasks, but it struggles in these key areas.
After seeing all the banana-fanfare for Google’s newest generative AI tool, I knew I had to take it for a spin. Named Gemini 2.5 Flash Image, the model upgrades your ability to edit your photos natively in Gemini. AI enthusiasts have referred to it as the «nano bananas» model, spurred on by a series of banana-themed teasers from Google execs.
In the few weeks it’s been out, people have created over 200 million AI images, and over 10 million people have signed up to use the Gemini app, according to Josh Woodward, Google’s vice president of Google Labs and Gemini.
Google has invested heavily in its generative media models this year, dropping updated versions of its image and video generator models at its annual I/O developers conference. Google’s AI video generator Veo 3 stunned with synchronized audio, a first among the AI giants. And creators have made more than 100 million AI videos with Google’s AI filmmaker tool, Flow.
I’ve spent a lot of time testing AI creative software, and I was excited to see what Google had cooked up. But my testing of 2.5 Flash Image showed that just because something has a flashy entrance doesn’t mean it’ll always lives up to its hype. Here’s how my experience with Gemini nano bananas went: the good, the bad and the frustrating.
What worked
The Gemini bananas model is spookily good at adding elements to existing images, blending AI-generated elements well into any picture you snapped. It also maintains a decently stable level of character consistency — meaning the people in my photos weren’t too distorted or wonky after going through the AI processing. Those are both important distinctions for AI image programs, and something Google said it had worked to improve.
You can see both of these characteristics in this picture of my sister and me. Our general appearances are unchanged in the edited version (right), showing off that character consistency. I asked Gemini to add a third sister who looked similar to the two of us, which it did scarily well by adding a third woman in between the two of us.
I was also pretty impressed with how quickly Gemini could spit out completed images. Anywhere under a minute gets a gold star from me, and Gemini was regularly handling requests in under 15 seconds. I also appreciated how it added a watermark to all the images it created and edited — even if I don’t love how tech companies have corrupted the sparkles emoji for AI, it’s extremely important to have some markers of AI-generated content. Google’s SynthID and behind-the-scenes work also help differentiate AI content from human-created imagery.
Gemini is good at wholesale AI image creation, too, but I recommend using its Imagen 4 or another AI image generator instead — they have more hands-on controls and settings that get you closer to what you want with less work.
What really didn’t work
There are serious limitations to Gemini bananas. It automatically generated square images, and follow-up prompts asking for images to be adapted into other dimensions were ignored or failed.
I also noticed that Gemini reduced the resolution of many of my photos. I primarily take photos with my iPhone 16, which has stellar cameras, but after going through the Gemini bananas model, those fine details were often blurred. That’s annoying and won’t win over any photographers.
I tried repeatedly to get Gemini to handle photo edits that would’ve been difficult for me to do manually. That’s one area in photo editing where AI is supposed to excel — automating mundane but detail-intensive edits. Sadly, Gemini really struggled with prompt adherence here, meaning it didn’t do what I asked.
I tried many times to get Gemini to remove reflections from a snap of a Freakier Friday movie poster, but they stubbornly remained. And the more I tried to get it to remove the reflections, the poorer the quality of the image became with every prompt. Once-clear text was ultimately illegible after I finally gave up, not to mention the accidental, scary-looking damage done to the faces of Lindsey Lohan and Jamie Lee Curtis.
Gemini nano bananas struggled to generate images in different dimensions. Resizing and cropping images is a core photo editing process, but Gemini didn’t — or couldn’t — handle simple sizing guidelines in my prompts.
I reached out to Google about the resolution and dimension issues and a spokesperson said the tech company is «aware and actively working on both issues. It’s been a big update from our previous model but we’ll continue to improve on the model.»
Overall, Gemini nano bananas proved to me that Google is serious about continuing to dominate in generative media. But it has significant pitfalls, with too big a focus on generating new elements rather than using AI to improve and tweak common photo issues. For now, the nano bananas model is best suited for Gemini fans who want to make big edits quickly. For those of us looking for more precise tools, we’ll have to wait for Google’s next big update or find another program.
Gemini nano bananas availability, pricing and privacy
You don’t need to do anything to access the new model; it’s automatically added to the base Gemini 2.5 Flash model. Gemini is available for free, with more models and higher usage caps available in Google’s AI plans starting at $20 per month.
If you’re a paying subscriber, you may also be able to access the model through Google AI Studio. From there, all you have to do is upload an image and type out your prompt. Each prompt uses anywhere from one to two thousand tokens, depending on the level of detail required. Adobe Express and Firefly users can also access the new model now.
Google’s Gemini privacy policy says it can use the information you upload for improving its AI products, which is why the company recommends avoiding uploading sensitive or private information. The company’s AI prohibitive use policy also outlaws the creation of illegal or abusive material.
For more, check out the best AI image generators and everything announced at the Made by Google Pixel 10 event.
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
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
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.
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