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NASA’s Perseverance Mars Rover Takes the Wheel, Completes First Drive Planned by AI

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NASA Perseverance Mars Rover AI Planned Drive Crater
NASA’s Perseverance rover rolled across the rim of Jezero Crater for 700 feet on December 8, 2025, and another 800 feet a few days later, but these were no ordinary journeys. In fact, this was the first time on another planet that artificial intelligence handled route planning on its own, selecting safe courses without the assistance of human specialists on Earth.



For years, human teams at NASA’s Jet Propulsion Laboratory have completed all of this work. They study orbital images, inspection maps, and rover status updates before meticulously mapping a set of fixed locations spaced approximately 330 feet apart. Commands are then sent all the way to Mars, a 140 million-mile journey, where we must wait for the signal to bounce back before sending the next set of instructions.


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Perseverance then goes about its business, carefully performing each stage of the mission, pausing to relay back data, and hanging out to await the next bit of direction from Earth. It keeps the missions safe but restricts how much progress we can make in a day and necessitates hours of meticulous study by engineers back on Earth.


So the engineers decided to try a new approach and resorted to generative AI, beginning with vision-language models from Anthropic’s Claude family. The machine examined all of the same data that human planners do, including high-resolution photos from NASA’s Mars Reconnaissance Orbiter’s HiRISE camera, as well as comprehensive slope information from digital elevation models. From that information, the AI identified all of the major features, such as bedrock exposures, rocky outcrops, boulder clusters ripe for trouble, and moving sand ripples. Then it generated a continuous itinerary, marked by waypoints where the rover might get new directions.

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Safety remained a key issue, as the team ran the entire plan through a digital twin, a virtual copy of Perseverance that we had created at JPL, before sending any instructions to the rover. The simulation went through almost 500 000 telemetry points to ensure that the plan matched the rover’s actual flight software and that we wouldn’t run into any trouble. Only after this was completed will the instructions be sent over the Deep Space Network.

NASA Perseverance Mars Rover AI Planned Drive Crater
On Martian day 1707, the initial drive covered a total distance of 689 feet. The second journey on sol 1709 was a bit longer, 807 feet, and took around 2 and a half hours. The navigation cameras captured everything in real time, showing the rover moving steadily over the crater rim. Later on, we were able to review the footage and observe how closely the AI’s plan matched the real trail that the rover took.

Vandi Verma, one of the space roboticists working on these systems at JPL, stated that the real big deal here is that generative AI can make off-world driving a lot easier because it clearly shows what the terrain looks like, knows exactly where the rover is, and chooses the safest path forward.

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Meta thinks you’ll want a whole app just for AI videos

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Meta is taking a surprising turn in the world of social apps: it’s testing a standalone version of Vibes, a feature that lets users create and discover AI-generated short videos, and giving it its own dedicated home outside the broader Meta AI app. The move, first reported by TechCrunch, reflects Meta’s belief that AI-created video content might be compelling enough to warrant its own space on your phone.

Originally launched in September 2025 inside the Meta AI experience, Vibes lets people generate or remix short vertical clips using AI tools, then browse a feed populated entirely by synthetic videos. Instead of watching humans film themselves, every piece of content you encounter in Vibes is made, or at least significantly shaped, by AI. That feed has gained enough traction that Meta now wants to see how the concept plays out as a separate app with a more focused environment for video creation and discovery.

What Meta wants from the standalone Vibes app

Breaking Vibes out into its own application could serve multiple purposes. For one, it gives Meta a cleaner, single-purpose platform that’s easier to build around than trying to shoehorn the AI-generated video experience into a multipurpose AI assistant. Meta says that users are increasingly leaning into the format, creating, discovering, and sharing AI-generated clips with friends at a growing rate. Though, to be fair, the company hasn’t shared exact usage numbers yet.

The standalone app’s focus on synthetic vertical video puts it in more direct competition with other emerging AI video platforms like OpenAI’s Sora, which also blends social feeds with AI content creation tools. By giving Vibes its own identity, Meta can experiment with features tailored specifically to video creation, discovery algorithms, and possibly even monetization paths like freemium subscriptions that unlock more advanced creation tools in the future.

Meta is currently testing Vibes in select markets and has kept the rollout modest so far, but early interest suggests the company sees a future where AI-crafted media isn’t just a side project, but a core creative format. Whether users will embrace a world where every scroll is an algorithm’s idea of entertainment, instead of someone’s real-life clip, remains to be seen.

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Beyond Easy Answers: How AI Can Deepen Learning

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When Dr. Carolina Gutierrez’s physics students used artificial intelligence to solve problems, something unexpected happened: The answers were wrong. But instead of provoking frustration, those mistakes sparked the kind of learning teachers hope for. Students began asking why, adjusting their prompts and developing critical thinking skills that went beyond computational accuracy.

This is the kind of AI integration educators want — not shortcuts, but tools that deepen learning and engage students in authentic problem-solving. As AI becomes increasingly common in classrooms, teachers are moving beyond curiosity and caution to ask practical questions: How do we use these tools responsibly? How do we ensure equity? And how do we help all students benefit?

“We try to move past AI for efficiency,” explained Jessica Garner, senior director of innovative learning at ISTE+ASCD. “That’s a great place to start, but we focus on how AI can help make education what it should be for students — transforming the learning experience.” Garner leads GenerationAI’s Communities of Practice, which bring together educators in yearlong cohorts to explore shared problems of practice around AI. “We intentionally include educators from varied roles, regions and backgrounds — district leaders, administrators, classroom teachers, skeptics, novices and experts,” she said. “Through virtual and in-person convenings, participants learn, test ideas and support one another as they examine how AI can responsibly enhance teaching and learning in their own contexts.”

Recently, EdSurge host Carl Hooker moderated a webinar that brought together members of these communities to highlight practical solutions for implementing AI in K-12 classrooms. The panel included Garner; Dr. Craig Perrier, a high school social studies specialist in Virginia, who uses AI to support new standards and universal design for learning; Hannah Davis Ketteman, a digital learning coach in Texas, who works with teacher cohorts to integrate AI into assignments and assessments; and Gutierrez, a high school science teacher in Houston, who supports emergent bilingual students with AI-guided lessons.

Together, they discussed strategies for building student confidence, scaffolding learning and ensuring all students benefit from innovation.

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EdSurge: How do you help teachers who are hesitant about using AI?

Davis Ketteman: As a digital learning coach, a big part of my job is teaching teachers how to use these tools. The spectrum of AI literacy among teachers can be surprising. Empowering teachers will ultimately empower students to become AI literate.

Scaffolding has been really important. People have a lot of opinions about tools like MagicSchool or SchoolAI, but those [simplified platforms with pre-built templates] can be great entry points for teachers who feel uncomfortable or aren’t confident with prompting. If we can give them small successes with tools that feel relevant and practical, they can build confidence and eventually move into larger language models. Starting with a small win helps them expand more easily.


Watch the full “Uncovering Practical Solutions for AI Implementation” webinar on demand now.


What’s at the heart of your work with your problem of practice?

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Perrier: For me, it’s personalization and adaptive learning. In Virginia, students earn verified credits for graduation, often through curriculum-embedded performance assessments based on the Inquiry Design Model.

The challenge is that the materials aren’t always accessible. For example, a primary source for an inquiry on the Crusades included a speech by Pope Urban in Middle English. No ninth grader can read that effectively. So we began using tools like MagicSchool and ChatGPT to modify texts to appropriate reading levels or summarize articles. The problem of practice was: How can we use AI to support the new standards and be emblematic of Universal Design for Learning?

This year, we extended that approach to podcasts and infographics. We used NotebookLM to create podcasts. But then we were surprised by how hard it was to find an AI-based infographic maker. We’d say, “Generate an infographic about the causes of the Civil War,” and the images might look like World War II, or the background language would be nonsense. It just wasn’t a good match for what we needed. We finally landed on Napkin AI through connections in the GenerationAI cohort.

Teachers can now offer a menu of accessible resources so every student can engage meaningfully. It’s shifted the mindset from “My students can’t do this” to “My students absolutely can.”

Gutierrez: For me, it’s about critical thinking and problem-solving, especially in AP Biology. It’s moving students from describing parts to asking: If I change this, what happens?

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We use Gizmos, which lets students simulate being vets or doctors and interpret symptoms. I combine that with guided work using AI to generate prompts. For example, when my physics students used AI to solve problems, the answers were sometimes wrong. That led them to ask why and to learn how to adjust prompts or parameters, developing real critical thinking skills.

Hands-on work makes this even more visible. Using AI-generated guides, students followed step-by-step protocols for mini-labs. Breaking complex work into small, manageable steps helped students feel confident and engaged, especially my emergent bilingual learners. They began to participate, understand and stay invested. Quiet students took on leadership roles.

Once students learned how to ask better questions, use prompts effectively and think critically, they became empowered to manage their own learning.

Davis Ketteman: At the core, my work is really about critical thinking and problem-solving. Many teachers are wondering how to navigate a more boxed curriculum while maintaining autonomy. We’ve been talking about evaluating AI output and adapting it for the class.

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One teacher I work with teaches math models to seniors. She reworked a budget project where students research a job, find a salary and build a budget. This time, students start by defining what “affordability” means. Then they draw a random life change, like a new roommate or a sick relative, and adjust their budgets. Finally, they present and redefine affordability as a group.

The evaluation this project demands from both teacher and students is astounding. And for students who aren’t strong in math, we focus beyond computation. They analyze what the output means in context. Seeing those light bulbs go off has been amazing.

What advice would you give to educators looking to implement AI?

Gutierrez: First, keep an open mind about the tools you use, what you’ll learn and whose perspective you’re approaching the work from. Are you thinking about the student experience, or are you using it to enhance your lessons?

Learn to pivot when challenges arise. Don’t give up at the first obstacle. AI is a valuable tool, and just as we adapted to computers, it’s becoming part of our classrooms. If we guide students responsibly, they can navigate it safely.

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Davis Ketteman: I have two pieces of advice. First, start where you are. AI can feel intimidating, but tools like ChatGPT are still new. Find one small task — maybe cleaning up slides — and try it.

Second, just do it. Opportunities come when you put yourself out there. Apply for webinars or presentations that interest you. Don’t let self-doubt hold you back. Find your people, network and get involved.

Perrier: This falls under self-awareness. You need to be aware and comfortable that you can’t keep up with everything in AI. Some feel they have to be first to know and first to use, but I’m comfortable knowing I can’t do it all.

Stay networked. Find your community, like the one Jessica leads. Being connected opens possibilities instead of constantly chasing them.

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Garner: This makes my heart happy. The ways they are working with AI are exactly what we want to see!


Through GenerationAI, ISTE+ASCD and six coalition partners are bringing together a diverse group of educators to examine the impact of generative AI on education and to give educators time and space to consider its use in a safe and responsible way. Join the movement at https://generationai.org to participate in our ongoing exploration of how we can harness AI’s potential to create more engaging, equitable and transformative learning experiences for all students. Sign up here.

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Today’s NYT Connections: Sports Edition Hints, Answers for Feb. 8 #503

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Looking for the most recent regular Connections answers? Click here for today’s Connections hints, as well as our daily answers and hints for The New York Times Mini Crossword, Wordle and Strands puzzles.


It’s Super Bowl Sunday! Today’s Connections: Sports Edition is all about the big game. If you’re struggling with today’s puzzle but still want to solve it, read on for hints and the answers.

Connections: Sports Edition is published by The Athletic, the subscription-based sports journalism site owned by The Times. It doesn’t appear in the NYT Games app, but it does in The Athletic’s own app. Or you can play it for free online.

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Read more: NYT Connections: Sports Edition Puzzle Comes Out of Beta

Hints for today’s Connections: Sports Edition groups

Here are four hints for the groupings in today’s Connections: Sports Edition puzzle, ranked from the easiest yellow group to the tough (and sometimes bizarre) purple group.

Yellow group hint: Signal-caller’s numbers.

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Green group hint: Prince rocked it in the rain.

Blue group hint: Best player in the big game.

Purple group hint: Comes after this event’s name.

Answers for today’s Connections: Sports Edition groups

Yellow group: Stats for a QB.

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Green group: Super Bowl halftime show performers.

Blue group: Super Bowl MVPs.

Purple group: Super Bowl ____.

Read more: Wordle Cheat Sheet: Here Are the Most Popular Letters Used in English Words

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What are today’s Connections: Sports Edition answers?

completed NYT Connections: Sports Edition puzzle for Feb. 8, 2026

The completed NYT Connections: Sports Edition puzzle for Feb. 8, 2026.

NYT/Screenshot by CNET

The yellow words in today’s Connections

The theme is stats for a QB. The four answers are completions, interceptions, touchdowns and yards.

The green words in today’s Connections

The theme is Super Bowl halftime show performers. The four answers are Gaga, Lamar, Mars and Petty.

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The blue words in today’s Connections

The theme is Super Bowl MVPs. The four answers are Branch, Hurts, Montana and Rice.

The purple words in today’s Connections

The theme is Super Bowl ____. The four answers are LX, MVP, squares and Sunday.

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A Simple Desktop Pomodoro Timer

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Pomodoro timers are a simple productivity tool. They help you work in dedicated chunks of time, usually 25 minutes in a sitting, before taking a short break and then beginning again. [Clovis Fritzen] built just such a timer of his own, and added a few bonus features to fill out its functionality.

The timer is based around the popular ESP32-S2 microcontroller, which has the benefit of onboard WiFi connectivity. This allows the project to query the Internet for things like time and date updates via NTP, as well as weather conditions, and the value of the Brazilian Real versus the American dollar. The microcontroller is paired with an SHT21 sensor for displaying temperature and humidity in the immediate environment, and an e-paper display for showing timer status and other relevant information. A button on top of the device allows cycling between 15, 30, 45, and 60 minute Pomodoro cycles, and there’s a buzzer to audibly call time. It’s all wrapped up in a cardboard housing that somehow pairs rather nicely with the e-paper display aesthetic.

If Pomodoro is your chosen method of productivity hacking, a project like this could suit you very well. We’ve featured a few similar builds before, too.

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Apple could soon allow AI chatbots like ChatGPT and Gemini to appear on CarPlay

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  • Apple could allow more AI on the CarPlay dashboard
  • This is a rumor outlined in a new Bloomberg report
  • Apps such as ChatGPT and Gemini might show up

Apple CarPlay has traditionally been quite restrictive when it comes to the types of apps it allows on your vehicle dashboard, but it seems that third-party chatbots such as ChatGPT and Gemini might soon be able to claim spots on the CarPlay interface.

This is according to Mark Gurman at Bloomberg, who usually knows what he’s talking about when it comes to Apple‘s future and as-yet-unannounced plans. Support should arrive in the “coming months”, the report says.

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I’m addicted to Nintendo Switch Online, but I wish I’d known about these hidden gems sooner

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I love Nintendo Switch Online (NSO). Of course, it opens up access to online multiplayer and comes at a genuinely modest price. But what I appreciate more than anything is how NSO supplies a healthy dollop of retro titles from Nintendo’s illustrious history.

Yes, there are some incredible games available through NSO. All-time classics like Super Metroid, The Legend of Zelda, and Super Mario Bros. feature, and they still feel amazing to play to this day. But these legendary titles are known by just about every gamer. What about the titles that don’t get as much hype or attention? What about the games that are must-plays, even if they didn’t sell millions upon millions of copies?

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iPhone Air vs iPhone 17: What’s the difference?

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Need a new iPhone but aren’t sure which model to go for? We’ve got you covered.

We’ve reviewed both the two cheaper handsets in Apple’s current flagship series, the iPhone 17 and iPhone Air, and highlighted the key differences between them here. 

Once you’re finished here, our best smartphones guide lists our current favourite handsets. Not sure if iOS is for you? Make sure you visit our best Android phones guide instead.

Specs table

iPhone Air iPhone 17
Dimensions 74.7 x 156.2 x 5.64 mm 71.5 x 149.6 x 7.95 mm
Screen Size 6.5-inch 6.3-inch
Weight 165g 177g
Material Titanium Aluminium
Rear Cameras 48MP Fusion 48MP Fusion + 48MP Fusion
Front Camera 18MP Center Stage 18MP Center Stage
Refresh Rate 120Hz ProMotion 120Hz ProMotion
Processor A19 Pro A19
Battery Life Up to 27 hours Up to 30 hours
Wired charge speed 20W 40W
MagSafe charge speed 20W 25W

Price and Availability

The iPhone 17 is the cheapest of the two, with a starting price of £799/$799 for the 256GB handset.

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The iPhone Air, on the other hand, is a more expensive option compared to the Plus model it has replaced, with a starting RRP of $999/£999.

SQUIRREL_PLAYLIST_10207952

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Design

  • iPhone Air is the thinnest iPhone ever, as 5.64mm
  • iPhone Air doesn’t have a physical SIM slot
  • Both have the Camera Control and Action buttons

While the iPhone 17 looks similar to the iPhone 16 before it (and then some), the iPhone Air is a complete redesign that looks unlike any other iPhone. At just 5.64mm thin and weighing 165g, the iPhone Air is impossibly thin and feels incredibly light in hand. 

You’d be forgiven for thinking that such a thin phone might feel too delicate to use, however this isn’t the case at all. Not only did we conclude that the iPhone Air feels balanced in-hand, but it’s also fitted with Ceramic Shield 2 at its front and Ceramic Shield at its back too. This means the handset is protected from scratches, although the front boasts three times the protection as the back, according to Apple’s claims. 

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In addition, much like the rest of the iPhone line-up, the iPhone Air has an IP68 rating too and is fitted with both the Camera Control and Action Button too. 

Keep in mind that the iPhone Air doesn’t have a physical SIM slot and relies on an eSIM instead. If you already have a physical SIM then don’t worry, as it’s easy to turn your SIM into an eSIM – as long as your network provider allows it. The iPhone 17, on the other hand, still sports a physical SIM slot. 

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Otherwise, as mentioned earlier, it’s business as usual with the iPhone 17, and this isn’t a bad thing. Sure, it’s not quite the major redesign as the iPhone Air, but it feels reassuringly familiar in hand too. Alongside an IP68 rating and Camera Control and Action buttons, the iPhone 17 also benefits from Ceramic Shield 2 but on both the front and back. 

As it’s such a radical redesign, and feels great in hand, we’ll give this win to the iPhone Air. Having said that, the iPhone 17 is still undoubtedly a well-designed handset that’ll suit most. 

Winner: iPhone Air

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Screen

  • Both have 120Hz ProMotion displays 
  • iPhone Air has a larger 6.5-inch screen compared to the iPhone 17’s 6.3-inch
  • The Dynamic Island remains on both

Once reserved for the Pro models, Apple has now finally introduced its 120Hz ProMotion technology to its entire flagship lineup. This means the iPhone 17 and iPhone Air benefit from an LTPO-enabled 1-120Hz refresh rate – and the difference is clear. Animations and gaming on the iPhone 17 feels brilliantly smooth, especially when compared to the likes of the iPhone 16. 

iPhone Air - video watchingiPhone Air - video watching
iPhone Air. Image Credit (Trusted Reviews)

As mentioned earlier, the iPhone Air has a slightly larger display at 6.5-inches compared to the iPhone 17’s 6.3-inch panel. We found both screens were pleasures to use, although arguably the iPhone Air is the happy medium between the iPhone 17 and iPhone 17 Pro Max’s 6.9-inch display.

Otherwise, as both are OLED panels, you can expect vibrant colours and deep, inky blacks too. 

Winner: iPhone Air

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iPhone 17iPhone 17
iPhone 17. Image Credit (Trusted Reviews)

Camera

  • The iPhone Air has just one single camera at its rear while the iPhone 17 has dual 48MP lenses
  • Neither handset has a dedicated zoom lens
  • Both have an 18MP square lens front camera

If photography is important to you, then straight away we’d recommend opting for the iPhone 17 Pro or one of the best camera phones instead. That’s not to say the iPhone Air or iPhone 17 are bad at taking pictures, it’s just that they lack some of the more advanced features that keen photographers will likely have grown accustomed to.

Even so, the iPhone Air has the least versatile camera hardware of the two, as it sports a single 48MP Fusion sensor at its rear. At this price point, a phone with just one rear camera feels like a major step back although it does have some admirable features.

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iPhone Air - back camera in handiPhone Air - back camera in hand
iPhone Air camera bump. Image Credit (Trusted Reviews)

Firstly, the iPhone Air can jump to 2x zoom without too much sacrifice, and overall it’s able to take impressively detailed images with rich yet accurate colours. Even in low lighting conditions, we found the iPhone Air was confident and didn’t take an age to snap a photo at night. 

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iPhone air night image lightsiPhone air night image lights
Image captured on iPhone Air. Image Credit (Trusted Reviews)

Instead, the iPhone 17 is fitted with a 48MP main and a 48MP ultrawide rear lens, with the latter seeing a jump from 12MP on the iPhone 16. Yes, the iPhone 17 misses out on the iPhone 17 Pro’s dedicated telephoto lens, but for most users it’s still an excellent snapper. With this in mind, if you’re not quite a keen photographer but do enjoy snapping great shots for sharing on social media, then we’d recommend you lean more towards the iPhone 17 than the iPhone Air.

Canary Wharf skyscrapers at nightCanary Wharf skyscrapers at night
Image captured on iPhone 17. Image Credit (Trusted Reviews)

However, avid selfie takers will appreciate both the iPhone Air and iPhone 17’s front camera. Both have an 18MP square sensor that allows you to take both portrait and landscape shots without moving the phone. It may sound small, but it makes it so much easier to take selfies and group shots.

Winner: iPhone 17

Performance

  • Although the iPhone Air is powered by the A19 Pro chip, it’s not quite the same one as the iPhone 17 Pro
  • The iPhone 17 runs on the A19 chip
  • We noticed the iPhone Air had an occasional tendency to heat up

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In terms of sheer power, the iPhone Air sits in-between the iPhone 17 and iPhone 17 Pro, thanks to its A19 Pro. Although at first glance, this may seem like the same chip used in the iPhone 17 Pro, the iPhone Air’s own has one less GPU core and doesn’t boast the same cooling chamber. 

Using an iPhone 17Using an iPhone 17
iPhone 17. Image Credit (Trusted Reviews)

So what does that really mean? In practice, this means the iPhone Air is great for short bursts of more intensive tasks but doesn’t quite offer the same sustained performance as the iPhone 17 Pro. Plus, as all the phone’s components are housed in the camera bump, it has a tendency to get warm. 

Otherwise, the iPhone 17 runs on Apple’s A19 chipset. While it may fall slightly short of either the iPhone Air or iPhone 17 Pro’s A19 Pro performance, in reality the handset should be powerful enough for most users. In fact, unless you’re playing demanding AAA console titles or editing multiple 4K video streams, you’re not likely to notice a difference between A19 or A19 Pro. 

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Winner: iPhone Air

Software

  • Both ship with iOS 26
  • Apple Intelligence is present on both but remains something of an afterthought

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Both the iPhone 17 and iPhone Air ship with iOS 26, which is an easy-to-use operating system that, even despite the new Liquid Glass design, will feel familiar for most veteran iPhone users. 

In addition, the entire iPhone 17 series (and the iPhone 16 series for that matter) is fitted with the Apple Intelligence toolkit. While some of the features are interesting, such as Writing Tools and Image Playground, generally it still feels as if the toolkit is more of an afterthought and is easily forgotten. 

iPhone Air - top down home screeniPhone Air - top down home screen
iPhone Air. Image Credit (Trusted Reviews)

Essentially, although we appreciate iOS 26, Apple Intelligence probably shouldn’t be the sole reason you opt for an iPhone Air or iPhone 17. 

Winner: Tie

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Battery

  • Neither are two-day phones, although the iPhone 17 offers slightly more endurance
  • Both support Qi2 wireless charging
  • Both took around 80 minutes to recharge

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It’s worth mentioning that if you’re coming from an Android like the OnePlus 15 with a huge 7300mAh cell, then you may struggle with either the iPhone 17 or iPhone Air’s battery performance. Neither are terrible by any means, but they’re both pretty modest. 

We found that the iPhone Air struggled the most, as while after light use-days the phone ended with around 20% battery remaining, heavier days required a top-up in the early evening. In comparison, the iPhone 17 usually ended most days with at least 20% left in the tank. 

However, for more convenient charging you can opt for a compatible wireless charger to keep both handsets topped up during the day. 

Otherwise, wired charging is still pretty slow, especially when compared to the Honor Magic 8 Pro’s 100W speeds. The iPhone Air actually slightly surpassed the iPhone 17, with a 100% charge taking around 80 minutes while the latter took 85 minutes. 

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Verdict

Generally speaking, for most users we would recommend the iPhone 17 over the iPhone Air. Sure, the iPhone Air boasts a gorgeous design but its tendency to heat up, single rear camera and lower battery life means it’s simply not as reliable as the iPhone 17.

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Not only that, but with the inclusion of ProMotion technology, an admirable chip and welcome camera upgrades, the iPhone 17 is one of the easiest iPhones to recommend in a long time.

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The State Department is scrubbing its X accounts of all posts from before Trump’s second term

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The State Department is wiping the post history of its X accounts and making it so you’ll have to file a Freedom of Information Act request if you want to access any of the content it removed, according to NPR. The publication reports that the State Department is removing all posts from before President Trump’s current term — a move that affects several accounts associated with the department, including those for US embassies, and posts from the Biden and Obama administrations. Posts from Trump’s first term will be taken down too.

Unlike how past administrations have handled the removal of social media content and the transition of accounts, these posts won’t be kept in a public archive. A spokesperson for the State Department confirmed this to NPR, and said the move is meant “to limit confusion on U.S government policy and to speak with one voice to advance the President, Secretary, and Administration’s goals and messaging. It will preserve history while promoting the present.” The spokesperson also called the X accounts “one of our most powerful tools for advancing the America First goals.”

The Trump administration has been purging information from government websites since he took office last year. Just this week, the CIA unexpectedly took down its World Factbook, a global reference guide that’s been available on the internet since 1997.

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DOJ is investigating if Netflix used anticompetitive tactics as part of its merger probe

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Netflix’s acquisition of Warner Bros. Discovery isn’t quite a done deal yet. As first reported by The Wall Street Journal, the US Department of Justice has started its probe of Netflix’s proposed purchase, but is notably interested in whether the streaming giant was involved in any anticompetitive practices. According to the civil subpoena seen by WSJ, the Justice Department is looking into any “exclusionary conduct on the part of Netflix that would reasonably appear capable of entrenching market or monopoly power.”

While Netflix announced plans to acquire Warner Bros. Discovery in December at a value of $82.7 billion, the deal was expected to close in 12 to 18 months, subject to required regulatory approvals. The DOJ has the power to block the transaction and this investigation could hint at the agency’s approach, which may involve proving that Netflix put its competition at an unfair advantage.

Netflix’s attorney, Steven Sunshine, told WSJ that this probe was standard practice and that, “we have not been given any notice or seen any other sign that the DOJ is conducting a separate monopolization investigation.” Netflix also said in a statement that it’s “constructively engaging with the Department of Justice as part of the standard review of our proposed acquisition of Warner Bros.” According to WSJ, the investigation is still in its early stages and could take up to a year to complete.

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Need a last-minute Super Bowl VPN? Proton VPN is at one of its lowest prices ever

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The Super Bowl is now only a couple of days away. If you’re considering tuning in, it’s worth knowing that for the best experience overall, you’ll want the American broadcast.

This’ll give you everything Super Bowl Sunday has to offer: iconic commercials, amped up commentary, and expertise unmatched by any other region.

But most of us can’t just tune in and watch. Instead, you’ll need a VPN to get the best experience possible. Proton VPN is currently available for $2.99 per month ($71.76 upfront). This is a strong offer for the Swiss-based provider, saving you around $15 over the two-year subscription.

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one-month Proton VPN plan. This costs $9.99 and provides access to advanced features, including Profiles. Since it only gives you one month’s access, there’s no 30-day money-back guarantee.

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