Prof Nir Eisikovits and Jacob Burley of the University of Massachusetts Boston discuss the ethics of AI in higher education and the technology’s role in ‘cognitive offloading’.

A version of this article was originally published by The Conversation (CC BY-ND 4.0)

Public debate about artificial intelligence in higher education has largely orbited a familiar worry: cheating. Will students use chatbots to write essays? Can instructors tell? Should universities ban the tech? Embrace it?

These concerns are understandable. But focusing so much on cheating misses the larger transformation already underway, one that extends far beyond student misconduct and even the classroom.

Universities are adopting AI across many areas of institutional life. Some uses are largely invisible, like systems that help allocate resources, flag ‘at-risk’ students, optimise course scheduling or automate routine administrative decisions. Other uses are more noticeable. Students use AI tools to summarise and study, instructors use them to build assignments and syllabuses, and researchers use them to write code, scan literature and compress hours of tedious work into minutes.

People may use AI to cheat or skip out on work assignments. But the many uses of AI in higher education, and the changes they portend, beg a much deeper question: As machines become more capable of doing the labour of research and learning, what happens to higher education? What purpose does the university serve?

Over the past eight years, we’ve been studying the moral implications of pervasive engagement with AI as part of a joint research project between the Applied Ethics Center at UMass Boston and the Institute for Ethics and Emerging Technologies. In a recent white paper, we argue that as AI systems become more autonomous, the ethical stakes of AI use in higher ed rise, as do its potential consequences.

As these technologies become better at producing knowledge work – designing classes, writing papers, suggesting experiments and summarising difficult texts – they don’t just make universities more productive. They risk hollowing out the ecosystem of learning and mentorship upon which these institutions are built, and on which they depend.

Nonautonomous AI

Consider three kinds of AI systems and their respective impacts on university life.

AI-powered software is already being used throughout higher education in admissions review, purchasing, academic advising and institutional risk assessment. These are considered ‘nonautonomous’ systems because they automate tasks, but a person is ‘in the loop’ and using these systems as tools.

These technologies can pose a risk to students’ privacy and data security. They also can be biased. And they often lack sufficient transparency to determine the sources of these problems. Who has access to student data? How are ‘risk scores’ generated? How do we prevent systems from reproducing inequities or treating certain students as problems to be managed?

These questions are serious, but they are not conceptually new, at least within the field of computer science. Universities typically have compliance offices, institutional review boards and governance mechanisms that are designed to help address or mitigate these risks, even if they sometimes fall short of these objectives.

Hybrid AI

Hybrid systems encompass a range of tools, including AI-assisted tutoring chatbots, personalised feedback tools and automated writing support. They often rely on generative AI technologies, especially large language models. While human users set the overall goals, the intermediate steps the system takes to meet them are often not specified.

Hybrid systems are increasingly shaping day-to-day academic work. Students use them as writing companions, tutors, brainstorming partners and on-demand explainers. Faculty use them to generate rubrics, draft lectures and design syllabuses. Researchers use them to summarise papers, comment on drafts, design experiments and generate code.

This is where the ‘cheating’ conversation belongs. With students and faculty alike increasingly leaning on technology for help, it is reasonable to wonder what kinds of learning might get lost along the way. But hybrid systems also raise more complex ethical questions.

One has to do with transparency. AI chatbots offer natural-language interfaces that make it hard to tell when you’re interacting with a human and when you’re interacting with an automated agent. That can be alienating and distracting for those who interact with them. A student reviewing material for a test should be able to tell if they are talking with their teaching assistant or with a robot.

A student reading feedback on a term paper needs to know whether it was written by their instructor. Anything less than complete transparency in such cases will be alienating to everyone involved and will shift the focus of academic interactions from learning to the means or the technology of learning. University of Pittsburgh researchers have shown that these dynamics bring forth feelings of uncertainty, anxiety and distrust for students. These are problematic outcomes.

A second ethical question relates to accountability and intellectual credit. If an instructor uses AI to draft an assignment and a student uses AI to draft a response, who is doing the evaluating, and what exactly is being evaluated? If feedback is partly machine-generated, who is responsible when it misleads, discourages or embeds hidden assumptions? And when AI contributes substantially to research synthesis or writing, universities will need clearer norms around authorship and responsibility – not only for students, but also for faculty.

Finally, there is the critical question of cognitive offloading. AI can reduce drudgery, and that’s not inherently bad. But it can also shift users away from the parts of learning that build competence, such as generating ideas, struggling through confusion, revising a clumsy draft and learning to spot one’s own mistakes.

Autonomous agents

The most consequential changes may come with systems that look less like assistants and more like agents. While truly autonomous technologies remain aspirational, the dream of a researcher ‘in a box’ – an agentic AI system that can perform studies on its own – is becoming increasingly realistic.

Agentic tools are anticipated to ‘free up time’ for work that focuses on more human capacities like empathy and problem-solving. In teaching, this may mean that faculty may still teach in the headline sense, but more of the day-to-day labour of instruction can be handed off to systems optimised for efficiency and scale. Similarly, in research, the trajectory points toward systems that can increasingly automate the research cycle. In some domains, that already looks like robotic laboratories that run continuously, automate large portions of experimentation and even select new tests based on prior results.

At first glance, this may sound like a welcome boost to productivity. But universities are not information factories; they are systems of practice. They rely on a pipeline of graduate students and early-career academics who learn to teach and research by participating in that same work. If autonomous agents absorb more of the ‘routine’ responsibilities that historically served as on-ramps into academic life, the university may keep producing courses and publications while quietly thinning the opportunity structures that sustain expertise over time.

The same dynamic applies to undergraduates, albeit in a different register. When AI systems can supply explanations, drafts, solutions and study plans on demand, the temptation is to offload the most challenging parts of learning. To the industry that is pushing AI into universities, it may seem as if this type of work is ‘inefficient’ and that students will be better off letting a machine handle it. But it is the very nature of that struggle that builds durable understanding. Cognitive psychology has shown that students grow intellectually through doing the work of drafting, revising, failing, trying again, grappling with confusion and revising weak arguments. This is the work of learning how to learn.

Taken together, these developments suggest that the greatest risk posed by automation in higher education is not simply the replacement of particular tasks by machines, but the erosion of the broader ecosystem of practice that has long sustained teaching, research and learning.

An uncomfortable inflection point

So what purpose do universities serve in a world in which knowledge work is increasingly automated?

One possible answer treats the university primarily as an engine for producing credentials and knowledge. There, the core question is output: Are students graduating with degrees? Are papers and discoveries being generated? If autonomous systems can deliver those outputs more efficiently, then the institution has every reason to adopt them.

But another answer treats the university as something more than an output machine, acknowledging that the value of higher education lies partly in the ecosystem itself. This model assigns intrinsic value to the pipeline of opportunities through which novices become experts, the mentorship structures through which judgement and responsibility are cultivated, and the educational design that encourages productive struggle rather than optimising it away. Here, what matters is not only whether knowledge and degrees are produced, but how they are produced and what kinds of people, capacities and communities are formed in the process. In this version, the university is meant to serve as no less than an ecosystem that reliably forms human expertise and judgement.

In a world where knowledge work itself is increasingly automated, we think universities must ask what higher education owes its students, its early-career scholars and the society it serves. The answers will determine not only how AI is adopted, but also what the modern university becomes.

By Prof Nir Eisikovits and Jacob Burley

Nir Eisikovits is a professor of philosophy and founding director of the Applied Ethics Center at the University of Massachusetts Boston. Eisikovits’s research focuses on the ethics of war and the ethics of technology and he has written many books and articles on these topics.

Jacob Burley is a junior research fellow at the University of Massachusetts Boston, specialising in the ethics of emerging technologies. His work explores how artificial intelligence reshapes human decision-making, responsibility and knowledge practices, with particular attention to the normative and epistemic challenges posed by increasingly autonomous systems.

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Photo credit: Windows Latest
The Lenovo Legion Go Fold debuts as a novel attempt to combine the portability of a gaming handheld with the versatility of a small laptop, all in a single foldable chassis. Lenovo will unveil this at the Mobile World Congress in Barcelona on March 2, 2026, and as of now, it appears that the device will be a game changer.

At its center is a flexible pOLED screen, which when folded up measures 7.7 inches across the diagonal, making it ideal for gripping like a traditional handheld. As you open it, the screen stretches all the way to 11.6 inches. That’s a lot of real estate, almost like you’re using a compact tablet. The way it unfolds is also very fascinating, as it simply opens along a central crease, giving you a broader view of two halves of about 7.7 inches each, or stacked vertically.

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Lenovo is powering it with an Intel Core Ultra 7 258V CPU, a Lunar Lake chip that has been tuned for battery longevity in ultra-slim laptops. With a huge 32GB of RAM, this device can handle demanding games and multitasking without blinking an eye, even in its portable form. It is powered by a 48Wh battery, although if you use the screen in full immersion mode, the battery life may be reduced.

Here’s the cool part: there are detachable controllers that snap into the sides when used in handheld mode, and they have the familiar grips and buttons you’d expect for comfortable gameplay. One of the controllers has an additional little screen built in that displays your performance information, quick settings, and even hotkeys. Furthermore, in some situations, the same controller can morph into a vertical mouse for ultra-precise aiming in first-person shooters. When you unfold the screen, you can switch to split-screen mode, which allows one half to run a game while the other half streams or chats on the web. Alternatively, you may choose full-screen horizontal mode, which gives you an entire 11.6 inches for gaming. If you do opt to use it on a desk, it comes with a wireless keyboard and a touchpad that connects to the folding screen, transforming it into a makeshift laptop with the controller performing mouse functions.

One thing that’s missing right now is any information on how many ports it has or how thick it is, but I believe it’s safe to say that Lenovo’s priority here is getting the flexibility right rather than cramming in every feature under the sun.

As a concept, the Legion Go Fold has no set release date or pricing, but it does show a lot of promise. Lenovo has previously turned ideas like this into genuine devices, so who knows? This one may be itching to get out of the lab and into the market at some point, but that is entirely just a pipe dream for the time being.
[Source]

Spotify is launching Audiobook Charts for the U.S. and U.K., the company announced on Friday. Similar to the streaming giant’s Music and Podcast Charts, the Audiobook Charts will be updated weekly and highlight the top audiobooks overall and by genre. These rankings are based on listening behavior and engagement on the streaming service, the company says.

The new charts are accessible to both free and paying users within the audiobooks hub. You can find them by tapping the search button in the app and selecting the “Audiobooks” tile to enter the hub. Then, you need to scroll down to the “Dive deeper” section to find the charts.

The move marks Spotify’s latest investment in the audiobooks space, following its official support of the format in 2022.

Since then, Spotify has continued investing in audiobooks with additional features like the recently-launched “Page Match” tool, which lets users scan a page from a physical book to instantly transition to that spot in the audiobook, and “Audiobook Recaps,” which are short audio summaries to catch you up on what you’ve already read so far.

Spotify says the new Audiobook Charts will benefit both readers and authors by giving listeners a trusted way to discover popular titles, while also creating new opportunities for authors and the publishing industry to reach wider audiences.

“As we’ve proven with Music and Podcasts Charts, when content is easier to access, discover, and enjoy, the demand grows,” said Duncan Bruce, Spotify’s Director of Audiobook Partnerships and Licensing, in a blog post. “We are delighted to now bring that to audiobooks, to help provide even more ways for users, publishers, and authors to discover what’s trending on Spotify, and make books more connected with culture in real time.”

It’s worth noting that Spotify isn’t only interested in audiobooks, as the streaming giant also recently ventured into physical book sales. Spotify announced earlier this month that users in the U.S. and the U.K. will soon be able to purchase physical copies of books directly within the app through a partnership with Bookshop.org.

It’s a busy week for TV fans, with new seasons of some popular shows premiering on the world’s best streaming services. From addictive period romance and staggering Monsterverse action, to a hit political thriller and long-dormant medical comedy, there’s something for nearly every taste.

As for new movies, there’s an action-adventure swashbuckler that ticks every Friday night box, including iconic stars, non-stop explosive pacing, and plenty of high-stakes thrills. Get ready to bid farewell to February with our pick of the week’s best new releases. – Amelia Schwanke, senior entertainment editor

Bridgerton season 4 part 2 (Netflix)

Bridgerton Season 4 | Part 2 Official Trailer | Netflix – YouTube

Watch On

FiiO’s product pipeline has been relentless. Over the past two years, the company has introduced a few dozen new models spanning portable DACs, Bluetooth amplifiers, IEMs, headphones, desktop gear, and now increasingly innovative home audio components. Some have been clear hits. Others have felt like experiments in a very crowded field. That is the reality when a brand moves this fast.

The $199 FiiO BTR17, launched in late 2024 as a portable Bluetooth DAC and headphone amplifier, arrived during the early phase of this surge. At the time, it drew rave reviews and strong word of mouth. Now in 2026, it is no longer the newest device in the lineup, but it may be one of the most durable and worthwhile.

Behind the scenes, it is clear that FiiO has no intention of slowing down. What we have seen offline suggests that 2026 and 2027 will bring even more ambitious desktop and home audio components that push the brand further upmarket. Against that backdrop, the BTR17 stands out as one of the earlier releases from this cycle and possibly one of the most complete.

In a market overflowing with portable DAC and amplifier options between $99 and $299, the question is simple. Is the BTR17 still relevant in 2026, and was it quietly one of FiiO’s best moves during this recent run?

Specifications & Technology

Let’s start where it actually matters with the BTR17: the DAC and the amplification stage.

Digital to analogue conversion is handled by a pair of ESS Sabre ES9069Q chips. On paper, they are serious performers, rated at up to 130 dB dynamic range with THD plus noise hovering around -120 dB, all while keeping power consumption in check. These are not entry level DACs thrown in to hit a price point. They are modern, efficient, and more than capable of resolving fine detail without adding grit or glare of their own.

On the amplification side, FiiO opted for the THX AAA 78+ platform. The design uses eight op-amps in a parallel configuration and can deliver up to 650 mW from the balanced 4.4 mm output into 32 ohm headphones. There is an important caveat. That full output is only available in wired Desktop mode. In portable use, maximum output drops to 300 mW, which is still respectable but not the headline number.

Power delivery inside the BTR17 is not an afterthought. The internal supply is divided into three distinct stages to keep things stable and controlled:

• Stage 1: Filtering and overvoltage protection
• Stage 2: DC to DC boost conversion
• Stage 3: High precision LDO voltage stabilization

Critical sections such as the DAC chips and the amplifier each receive power from dedicated rails, a design choice intended to reduce interference and improve overall performance. Whether that translates into audible benefits is something we will dig into in the listening section.

A quick word on Desktop mode, because it is one of the BTR17’s more practical features. Flip the switch and connect power to the dedicated USB C “power in” port, and the unit runs from an external supply instead of its internal battery. That means you can use it at a desk all day without cycling the battery. For anyone planning to use this as a compact home DAC and amp, that is not a small detail.

There are two additional operating modes: BT and PHONE.

• BT mode is exactly what it sounds like. It is engaged when using the BTR17 wirelessly. The unit runs Bluetooth 5.4 via Qualcomm’s QCC5181 platform, with support for transmission rates up to 2100 kbps, along with LDAC and aptX Lossless. In practical terms, that puts it at the front of the pack for high resolution wireless audio support at this price.

• PHONE mode is more about power management. In this setting, the BTR17 shares the load with the connected source device rather than drawing heavily from it. The idea is to reduce battery drain on your phone or tablet during wired use. It is a thoughtful inclusion for anyone who has watched their phone battery nosedive during a long listening session.

Back to the hardware.

FiiO fitted the BTR17 with an XMOS XU316 USB processor, which is not bargain bin silicon. It offers low latency, stable data transmission, and support for 32-bit/768kHz PCM and native DSD512. Even with the built in parametric EQ engaged, it can handle up to 192 kHz. In short, there is more than enough headroom here for any real world use case.

Speaking of EQ, you get a full 10 band parametric setup to fine tune the sound. That means proper control over frequency, gain, and EQ, not just a handful of preset tone tweaks. Profiles can be saved, imported, exported, and shared through the FiiO Control app, so if you have a dialed in curve for a specific IEM or headphone, you can pass it along instead of trying to describe it over text like a lunatic.

The FiiO Control app also handles core settings and firmware updates. Most adjustments can be made directly on the device, but the app makes deeper configuration easier and keeps the unit current with software refinements.

As for battery life, FiiO rates the BTR17 at roughly eight hours using the 4.4 mm balanced output. In practice, that figure held up during continuous use with LDAC over Bluetooth. For a compact all in one DAC and amplifier at $199, that is a solid, realistic result rather than marketing fantasy.

Design & Build Quality

The centerpiece of the BTR17’s design is its display. The 1.3 inch IPS screen, with a 240 x 240 resolution, is bright enough for outdoor use and delivers surprisingly vibrant color for a device this small. Key information is always front and center, including volume level, active Bluetooth codec, and sampling rate. Each codec is color coded, which makes it easy to see at a glance what you are actually streaming.

FiiO makes a point of highlighting the tactile, stepped volume knob. In practice, it is serviceable but not exactly luxurious. The rotation feels a bit light, and the integrated push button comes across slightly hollow and sticky when pressed. It works, but I have handled more refined implementations on competing devices.

The back panel is wrapped in raw leather, which adds some welcome texture and grip. The main chassis is aluminum alloy, something that still is not guaranteed in the sub $200 category. The overall construction feels solid even if the control hardware is not class leading.

In the box, FiiO includes the usual documentation, a well made leatherette case, and an eight stranded USB C to C cable that looks and feels more premium than expected at this price.

Physically, the BTR17 measures 16.3 mm x 41.2 mm x 86.6 mm, which translates to roughly 0.64 x 1.62 x 3.41 inches. It weighs about 73.4 grams, or approximately 2.6 ounces. In daily use, it is compact and light enough to disappear into a pocket. Our review sample was black, but it is also available in a striking blue finish.

On the right side of the chassis you will find the physical controls. Just below the volume knob sits the power button. Beneath that are the forward and backward track buttons, which also double as EQ preset selectors. Further down are the switches for power mode selection and Desktop mode activation.

Along the bottom edge are two USB-C ports. One handles data transfer and charging, while the second is dedicated to external power input when using Desktop mode. Up top are the headphone outputs: a standard 3.5 mm single ended jack and a 4.4 mm balanced Pentaconn connection.

Listening & Headphone Synergy

With output figures that edge toward a full watt in Desktop mode, the BTR17 has more than enough muscle for the vast majority of full size over ear headphones. Even in portable mode, there is sufficient headroom for anyone who listens at spirited levels.

At that point, the conversation shifts. Raw power is only part of the equation. The real question is how clean, controlled, and refined that power sounds. Quality of amplification matters just as much as quantity, and in many cases more.

It is also worth saying that using a Bluetooth DAC and amplifier in general feels liberating. Being able to move around freely without being anchored to a desk changes the experience in a very real way. That freedom alone makes listening more enjoyable, and it gives the BTR17 an advantage that is not captured on a spec sheet.

The first thing I noticed after plugging the HiFiMAN HE1000 Unveiled into the BTR17 was a subtle but clear sense of added weight down low, even with no EQ engaged. I do not believe the unit is altering frequency response in any dramatic way, but there is a perceptible increase in bass impact and authority compared to some other solid state DAC and amp combinations.

On “Why So Serious?” by Hans Zimmer and James Newton Howard, the subterranean swell that creeps in around the three and a half minute mark had more physical presence and drive than I heard from the FiiO JM21 DAP I reviewed recently. The BTR17 gives that moment extra grunt, which makes the track feel more visceral without tipping into exaggeration.

That translates into a slightly warm overall character, but not one that sounds bloated or soft. The midrange remains articulate and clean, and there is a mild lift in the upper mids that enhances perceived detail. Dynamics are lively across the spectrum, with good separation and fine note clarity. Treble extension is intact with no obvious roll off, though it stops short of the most ethereal or shimmering presentation I have heard. Even so, the delicate triangle hits in L’Impératrice’s “La Lune” came through clearly and without any significant loss of detail.

I have often felt that the HE1000 Unveiled can use a touch more foundation in the bass. The BTR17 does not transform it into a reference caliber headphone in that range, but it does add just enough authority down low to counterbalance the headphone’s inherent treble energy. The pairing felt cohesive and well judged rather than artificially thickened.

I also tested the BTR17 with the Sendy Audio Egret, Beyerdynamic DT880 Edition 600 Ohm, and Audio Technica ATH-R70x. All were driven confidently and without drama. Even the 600 ohm Beyer was handled with composure, which says a lot about the available headroom in Desktop mode.

Listening was split between wired Desktop mode and wireless operation over LDAC from my phone. Despite the lower maximum output and reduced sampling rate in Bluetooth mode, I was genuinely hard pressed to identify meaningful sonic differences between the two in casual and focused listening. That should reassure anyone planning to use this primarily as a wireless solution.

That said, perspective matters. Moving over to a dedicated desktop chain like the SMSL DO400 paired with the Aune S17 Pro immediately delivered greater soundstage width, more defined layering, and a higher level of micro detail. The BTR17 gets impressively close for a compact all in one device, but a serious desktop stack still has the edge in outright scale and refinement.

The Bottom Line

The FiiO BTR17 gets the fundamentals right.

It delivers clean, controlled power with a slightly warm tilt that adds welcome body without sacrificing clarity. The dual ESS DAC implementation, THX AAA amplification, XMOS USB stage, and full 10 band parametric EQ are not filler features. They translate into real flexibility and performance that push this well beyond basic Bluetooth dongle territory. In Desktop mode, it has enough output to handle demanding full size headphones. In wireless mode over LDAC or aptX Lossless, it retains far more composure and resolution than most portable solutions in this price bracket.

What it does not do is replace a serious desktop stack. You will still get greater scale, layering, and ultimate refinement from a dedicated DAC and amplifier chain. The volume control hardware is also merely adequate rather than premium. If you are chasing the last word in micro detail or build finesse, this is not that device.

What makes the BTR17 compelling in 2026 is the combination of genuine audiophile architecture, robust codec support, proper EQ control, and real world usability in a device that fits in your pocket. It is as comfortable on a desk in Desktop mode as it is clipped to a jacket streaming from your phone.

Who should consider it? Anyone who wants near desktop performance without being chained to a desk and headphone enthusiasts with multiple pairs of headphones and IEMs to drive; and that includes commuters and business travellers who have not ventured down the wireless earbud or headphone rabbit hole.

In a cycle where FiiO has released dozens of products, the BTR17 stands out as one of the more complete and mature executions. Not perfect. Not revolutionary. But very, very well executed for $199.

Pros:

• Powerful for the size – Up to 650 mW balanced in Desktop mode with enough headroom for most full size headphones, including higher impedance models.
• Excellent wireless support – Bluetooth 5.4 with LDAC and aptX Lossless delivers near wired performance in real world use.
• High end internal architecture – Dual ESS ES9069Q DACs, THX AAA 78+ amplification, and XMOS XU316 USB stage at $199 is strong value.
• Full 10 band parametric EQ – Deep tuning capability with profile import and export via the FiiO Control app.
• Flexible use cases – Desktop mode, PHONE mode power management, balanced and single ended outputs, compact and genuinely portable.

Cons:

• Not a true desktop replacement – Dedicated DAC and amplifier stacks still outperform it in staging, layering, and ultimate refinement.
• Volume knob feels average – Tactile response and integrated button lack a premium feel.
• Power drops in portable mode – Maximum output is reduced outside Desktop mode.
• Treble is clean but not exceptional – Extended and articulate, though not the most airy presentation.
• Feature density may overwhelm casual users – Extensive settings and modes require some learning curve.

Where to buy:

For more information: fiio.com/btr17

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Google just launched Nano Banana 2, and this model produces professional-grade photos at warp speed while still providing the kind of control you’d only get from premium models in the past. Powered by the Gemini 3.1 Flash architecture, it replaces the previous Nano Banana on all main platforms. Users now have access to significantly more detail, richer textures, and brilliant lighting in every photo. You may create photographs ranging from ultra low-resolution to 4K, and you have complete control over how they appear, whether you want a square portrait or a vast, theatrical scene.

One of the most noteworthy features is the generator’s speed, which allows you to experiment with different ideas without having to wait. Edits appear quickly, whether you’re adjusting the lighting, composition, or a single element. This makes it ideal for rapid experimentation, whether you’re working on a single concept or testing out a variety of images.

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• Google Pixel 10a is a durable, everyday phone with more[1]; snap brilliant photography on a simple, powerful camera, get 30+ hours out of a full…
• Unlocked Android phone gives you the flexibility to change carriers and choose your own data plan; it works with Google Fi, Verizon, T-Mobile, AT&T…
• Pixel 10a is sleek and durable, with a super smooth finish, scratch-resistant Corning Gorilla Glass 7i display, and IP68 water and dust protection[4]

It’s not only about speed; the control is far more precise than ever before. Complex directions are accurately picked up; you may even request tiny nuances in style or tone, and it will be perfectly executed. Object consistency is also far more reliable; you can have up to five characters or figures that seem same from one image to the next. The model can also accommodate up to 14 separate items in a single scene without losing a step, making it ideal for agricultural scenes with animals and tools, as well as highly complex multi-panel storytelling.

Text rendering also looks much better, with words and phrases appearing crisp and clear, making it an ideal tool for infographics, signs, diagrams, and marketing materials. With Gemini’s real-time expertise, the tool can even extract exact details for objects, scenarios, or data visualizations, resulting in a diagram of the water cycle with the proper labels and ingredients.

Nano Banana 2 is currently available in the Gemini app, with options for fast, thoughtful, and pro modes. Google Search has received an AI boost, and technologies such as Flow, AI Studio, Google Cloud, and Ads will include the model in the coming months. Free users will have access to fewer generations, whilst premium subscribers will have far more.