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Airlines Sued for Selling 'Window' Seats Without a Window View
Gaming Gear

Airlines Sued for Selling ‘Window’ Seats Without a Window View

by admin August 21, 2025


Have you ever paid for a window seat on an airplane that didn’t actually have a window? You could be part of a class action lawsuit in the near future.

Delta and United Airlines have been sued this week in federal court for misrepresenting their seat offerings online. The plaintiffs note that when people buy tickets through competitors like Alaska Airlines and American Airlines, the website will flag when a window seat doesn’t actually have a window. Delta and United don’t tell consumers when that’s the case, according to the new lawsuits.

The filing against Delta, which is available online from Courthouse News, claims that the number of people affected could be over a million:

For many years, Delta has knowingly and routinely sold windowless “window” seats to travelers. For instance, various models of Delta’s Boeing 737, Boeing 757, and Airbus A321 aircraft are built with one or more seats that would traditionally have a window, but do not include one due to the placement of air conditioning ducts, electrical conduits, or other interior components. Delta operates hundreds of these planes, which each make multiple flights every day. As a result, Delta has likely sold over a million windowless “window” seats throughout the class period.

The lawsuit notes that people have many different reasons for trying to get a window seat, including a fear of flying or being claustrophobic. And if someone pays extra to get a window seat but doesn’t enjoy that benefit, they’re not getting what they paid for.

The court filings also include photos and social media posts from places like r/Delta where people have complained about paying extra and not getting a window.

Image: Courthouse News

Reuters points out that there are third-party websites like SeatGuru that allow consumers to look up a given plane to determine if a seat has a real window view. But Carter Greenbaum, a lawyer for the firm that filed the lawsuits, told the news outlet that, “A company can’t misrepresent the nature of the products it sells and then rely on third-party reviews to say a customer should have known that it was lying.”

The lawsuit notes that fees can add up quickly for people who are trying to get a window seat:

The added consideration required to select a window seat is significant. A typical basic economy traveler, for example, might need to spend upwards of $40 to advance to a higher ticket tier, and then must spend over $30 to select a particular window seat. For passengers who do not pay for these upgrades in cash, they pay for their seat selection with other valuable consideration, such as credits earned from Delta, membership fees for rewards programs, and/or in the opportunity cost of benefits they would have obtained from selecting a different credit card reward program. These additional fees to select particular seats are charged in addition to the base fare, taxes, and other fees.

The lawsuit against Delta has been filed in New York, while the suit against United was filed in California and they are listed as:

  • Meyer v Delta Air Lines Inc, U.S. District Court, Eastern District of New York, No. 25-04608
  • Brenman et al v United Airlines Inc, U.S. District Court, Northern District of San Francisco, No. 25-06995

United declined to comment on the case because it’s an “ongoing legal matter.” Delta didn’t immediately respond to questions sent on Thursday. Gizmodo will update this article when we hear back.



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August 21, 2025 0 comments
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AI writer
Gaming Gear

Is the window for generative AI adoption closing for companies?

by admin June 26, 2025



The technology world is no stranger to hype cycles, but the arrival of generative AI marks something fundamentally different: not a wave of disruption, but a new epoch in digital transformation. Just as cloud computing redefined business operations in the last decade, generative AI is poised to reshape how entire industries operate.

It’s important to note that generative AI should not be seen as an incremental tool for productivity, but as a foundational capability that will dictate tomorrow’s winners and losers. In the next 12 to 18 months, companies that strategically embrace AI will redefine their value propositions, business models, and operational capacity. Those that hesitate risk being left behind in what is becoming an increasingly divided digital economy.

This emerging divide signals what could be seen as a “Divergent Future” – a world where companies with access to powerful AI capabilities accelerate exponentially, while those without face systemic disadvantages. The division won’t just be commercial, it will be societal. Access to AI tools is already beginning to impact education, economic mobility, and organizational competitiveness. Companies with the foresight to invest and the means to implement will shape markets; those without may find themselves more and more struggling to compete.


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So, is the window closing? It depends on how fast you’re moving. The companies that act decisively now by investing in sovereign, sustainable AI infrastructure and rethinking how their people and processes create value, are the ones most likely to lead in this new era. For those who hesitate, catching up may soon become not just difficult, but impossible.

Karl Havard

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Managing Director of Taiga Cloud, a Northern Data Group division.

AI sovereignty as a strategic priority

As demand for AI infrastructure surges globally, sovereign infrastructure is quickly becoming a key differentiator. But AI sovereignty isn’t about ticking compliance boxes, it’s about having true control. This means owning your infrastructure, ensuring independence from foreign entities, managing proprietary data entirely within a given jurisdiction, and maintaining legal autonomy. These four areas – infrastructure control, foreign independence, data ownership, and legal autonomy – form the basis of meaningful AI sovereignty.

Recent shifts in geopolitical sentiment, especially regarding data residency and access, are driving demand for AI infrastructure located outside the jurisdiction of US-based hyperscalers. Sovereign cloud infrastructure offers organizations – especially those in regulated sectors such as finance, healthcare, and government – a secure alternative that avoids exposure to extraterritorial legislation like the US Patriot Act.

But genuine AI sovereignty doesn’t come from a sticker that says, “local cloud.” It requires intentional design – where your data lives, who owns the IT infrastructure, and where the provider itself is based all matter. Without aligning all three, claims of sovereignty can fall apart under scrutiny.

However, the AI landscape is rarely quiet, and recent political developments have only added to its complexity. In the United States, the Biden administration introduced the BIS diffusion bill, a policy designed to control global distribution of GPUs. Under the framework, countries are categorized into tiers, with allied nations such as the UK and most of Europe granted wider access, while others face restrictions or outright bans. This has significant implications for AI development, creating a controlled environment for where infrastructure can be located.

In this new reality, companies can’t afford to treat infrastructure strategy as a back-office decision. Companies must now factor geopolitical volatility, supply chain dynamics, and regulatory risks into their AI infrastructure strategies.

The environmental cost of AI: What questions companies must ask

The environmental footprint of AI cannot be ignored. With large-scale model training and inference workloads becoming the norm, data centers are consuming more energy than ever before. A single AI GPU today can draw over 1,200 watts, equivalent to 12 standard laptops. In aggregate, these GPUs are housed in facilities that can contain tens of thousands of units, representing a significant strain on energy systems globally.

Sustainability must be built into the process from the start. That begins with selecting data center locations based on proximity to abundant renewable energy. Unlike traditional infrastructure, AI data centers don’t need to be close to urban areas. They can be strategically located in regions with surplus wind, hydro, or solar energy, as long as they have the right fiber connectivity to handle real-time data flows.

However, despite this flexibility, many hyperscalers continue to site infrastructure in fossil-fuel-dominated grids, and there is often a lack of transparency in how energy is sourced or used. Companies should ask tough questions about where their AI workloads are running, what powers them, and what emissions are associated with that usage. Without this accountability, greenwashing will continue to undermine genuine sustainability efforts.

Data centers also need to be built for long-term efficiency. This includes using the latest generation of GPUs and implementing modular architecture that supports hardware swaps without costly retrofits. Advanced cooling systems are equally critical. Traditional air cooling just isn’t enough anymore. Closed-loop liquid cooling systems should become the norm, as they’re much more efficient and use less water, which helps protect local water resources.

Selecting AI infrastructure is no longer just a technical decision — it is a sustainability commitment that demands rigorous due diligence on energy use, location strategy, and cooling technologies. Companies must embed environmental considerations into their AI strategy from the outset, asking the hard questions when selecting an AI cloud partner.

Strategic timing: The 12–18-month window

We are now in a critical phase. The next 12 to 18 months represent a strategic window for companies to act. The market is maturing rapidly, foundational models are stabilizing, and the tools to deploy AI effectively across sectors are becoming more accessible.

But this accessibility comes with responsibility. Companies must think strategically about how they deploy AI. This means more than just selecting a tool or API. It’s time to align AI with business models, workforce planning, ethical values, and environmental goals. This should be accompanied by selecting AI infrastructure partners who provide sovereignty and sustainability.

The risk of waiting is real. Late adopters will not only miss early efficiency gains, but may find themselves structurally disadvantaged in adapting to a world where AI dictates economic competitiveness. The divide will grow, and catching up will become significantly harder.

AI isn’t a “maybe” anymore – it’s foundational. It’s going to be a key factor in defining competitive advantage, not just for companies, but for entire nations and economies in the years to come. But with this shift, we need to think long-term. We need to build AI infrastructure that is scalable, ethical, sovereign, and sustainable. We must regulate AI in ways that protect society without paralyzing innovation. And we should recognize that in this era, performance alone is not enough. Trust, responsibility, and transparency will be just as important as speed and scale.

We list the best business cloud storage.

This article was produced as part of TechRadarPro’s Expert Insights channel where we feature the best and brightest minds in the technology industry today. The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/news/submit-your-story-to-techradar-pro



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June 26, 2025 0 comments
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Co-op survival game Blind Descent gets release window
Esports

Co-op survival game Blind Descent gets release window

by admin June 8, 2025


Blind Descent is set for a 2026 early access release date. Players will be able to get a taste of the game’s adaptive world. For more information, read the release below:

Nicosia, Cyprus (June 7, 2025) | Today, META Publishing — a subsidiary publishing label of acclaimed RPG studio Owlcat Games — and Turkish indie studio Pokuch have officially revealed their flagship game: the co-op sci-fi survival title, Blind Descent. Revealed during Future Games Show, Blind Descent is set to launch via Early Access on Steam in 2026.Watch the Blind Descent announcement trailer here: YouTube Blind Descent invites players into a mesmerizing yet unforgiving world buried deep beneath the Martian surface. After a catastrophic mission failure, a lone survivor awakens in a vast, alien ecosystem. What begins as a desperate search for missing crew members evolves into a journey of symbiosis with a world that resists, adapts, and remembers.When developing this title, the team created a “Symbiosis System” — a unique, deeply immersive mechanic inspired by the haunting alien logic of Scavengers Reign. This system will shape how players interact with the world around them, with more specific gameplay details to be revealed later. Speaking of Scavengers Reign, its acclaimed production designer, Jon Juarez, created the game’s striking new key visual.Key Features of Blind Descent:Explore an Alien World that Pushes Back: Discover a sprawling underground biome teeming with mysterious life and reactive flora.Survival Through Understanding: Study the ecosystem, observe alien behavior, and craft tools that help you survive.Shelters with Consequences: Build log-by-log in a world where nature reclaims what’s left unattended. Your bases can be overgrown, devoured, or corrupted.Mutate and Adapt: Encounter biological phenomena that change you. Gain abilities through exposure to alien spores, fruits, and strange infections.Traverse Rugged Environments: Use advanced climbing gear to scale vertical shafts and navigate treacherous terrain with precision and agility.Endure Together: Team up with up to three other pioneers in online co-op. Venture through the unknown together to uncover the truths lying deep within Mars.Blind Descent arrives on Windows PC via Steam in 2026. Players can wishlist the game today.Stay up to date with Blind Descent by following the game on Discord, X (Twitter), Youtube, and TikTok.  

Stay tuned to GamingTrend for more news!


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Hobot S7 Pro window cleaning robot on inside of reviewer's patio door window
Product Reviews

Hobot S7 Pro window cleaning robot review: a big help for big windows

by admin June 8, 2025



Why you can trust TechRadar


We spend hours testing every product or service we review, so you can be sure you’re buying the best. Find out more about how we test.

Hobot S7 Pro: two-minute review

The Hobot S7 Pro is a square robot that clings to your window and cleans dirt away using dual cleaning pads and a fine spray mist. It can be used indoors and out, and is suitable for framed or frameless windows. The large size is well suited to big windows; note that if the pane is too narrow, it won’t clean it at all.

On test, I found this bot did a great job of cleaning lightly dirty glass. It’s easy to use, navigates accurately, and doesn’t miss any spots. However, it struggles with tougher dirt, which is probably true of most window bots. When I used it on the outer panes of my large patio doors, with some water marks and general grime accumulated from being exposed to the elements, the results were a little streaky. In contrast, my indoor glass partitions were left perfectly clean with no smears at all (and the bot accurately detected the frameless edges, which impressed).

The design of the S7 Pro is largely effective, with a few downsides. At time of testing, app support wasn’t available, which meant I had to rely on the remote control. This requires you to point the remote directly at the robot, which is sometimes awkward. I also found the voice prompts shrill and irritating – and there’s no way to switch them off. During my extensive testing period, the bot did once fall off a window.


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Price-wise, the S7 Pro is an investment, but roughly in line with the wider market. You won’t be saving much time by opting for this bot and, unlike a robot vacuum, you can’t leave it to do its thing unattended – you need to be around to move it from pane to pane. However, in a home with lots of glass, or glass that needs regular cleaning, it could be a big effort-saver, and worth the investment. That’s the short version; read on for my full Hobot S7 Pro review.

Hobot S7 Pro review: price & availability

  • List price: $439 / £329
  • Available: US / UK
  • Launched: 2025

The Hobot S7 Pro is available in the US and the UK, with a list price of $439 / £329. Solenco – the brand behind Hobot – also has a presence in Australia, but at time of writing, the S7 Pro wasn’t available there. You can buy it direct from Solenco in the UK, and via Amazon in the US, although I suspect it will become more widely available as time goes on.

The S7 replaces the S6 in the Hobot range. Unfortunately, I can’t find the pricing for that model anywhere, and nor can I discern the exact differences between the S6 and S7 models. (I’ve requested the information and will update this review when I hear back.)

A major competitor in this market is Ecovacs with its Winbot line. Models range from around $230-$700 in the US or £300-£500 in the UK. In general, though, the models closest to the S7 seem to be roughly the same price.

The Hobot S7 Pro isn’t an especially cheap alternative to manual window cleaning, but it could be worth the investment if you have a lot of glass to clean, or if your windows get dirty quickly.

  • Value for money score: 3.5 out of 5

Hobot S7 Pro specs

Swipe to scroll horizontally

Size (W x D x H):

10.5 x 10.2 x 3.5in / 26.7 x 26 x 9cm

Tanks:

2 x 80ml

Max suction:

4,800 Pa

Total charge cable length:

21ft / 6.4m

Hobot S7 Pro review: design

  • Square-shaped bot with dual reciprocating cleaning pads
  • Sprays fine mist from two small water tanks
  • Controlled via remote control – app support advertised, but unavailable

The Hobot S7 Pro is a square robot with dual reciprocating cleaning pads. It clings to your window and makes its way across its surface to clean it, with the aid of “AI-powered navigation”. This bot is suitable for both framed and frameless windows, as well as patio doors and mirrors. While the following isn’t addressed in the literature anywhere, previous reviews suggest the S7 Pro is only suitable for perfectly vertical surfaces.

Size-wise, the bot is rather large, so better suited to big windows (in fact, it refused to clean a 12.6in / 32cm wide window, I think due to lack of maneuvering room). The brand makes a range of smaller window bots, shaped like elongated ovals, which might be a better option if your windows aren’t sizeable.

(Image credit: Future)

On the upper side of the unit is a grip handle for attaching and removing the bot to a surface, plus an on/off rocker power switch and a start/pause press button. On either side are two small, 80ml water tanks, sealed with a rubbery stopper. These can be filled with water and/or Hobot’s own (supplied) cleaning solution; they’re detachable with the aid of a screwdriver. Attached to each one is an “Ultrasonic nozzle”, which sprays a very fine mist into the path of the bot as it moves around the surface. These are apparently extremely sensitive and not to be touched under any circumstances.

(Image credit: Future)

Flip the robot over and you’ll find two rubbery caterpillar belts and two removable, washable cleaning cloths. These have rectangular sections cut out of the middle, to leave the suction area the bot uses to cling to the glass free. The cloths are mounted on separate plates, and vibrate vertically in towards each other. Hobot says this simulates the motion of a human hand scrubbing, although with up to 600 “wipes” per minute, it’s rather more frenetic than any window cleaner I’ve met.

On the edges are bumpers to protect your window frames. This model also includes patented Edge-Leakage-Bumper (ELB) sensors, which are designed to make this cleaner suitable for edgeless glass. These sense if there’s a loss of suction as a result of a gap, or if the bot reaching the edge of a pane of glass, and change direction rather than continue over it, breaking the main suction seal and dropping off.

(Image credit: Future)

The device needs to be plugged into the mains to work. Thankfully, the cable is nice and long, but you might still need to make use of an extension cord for awkwardly placed outside windows. You’ll also need to keep the backup battery charged, in case of a power outage – this will keep the bot attached to your window for up to around 20 minutes without power.

A safety cable is provided as a further backup if you’re cleaning windows up high. I was pretty lax about attaching this until the bot fell off one of my windows. This only happened once during my extensive testing period, and luckily I was close enough to catch the rope before it hit the ground outside, but I learned a lesson about being diligent with attaching the rope.

(Image credit: Future)

Control is via remote. This offers a few different cleaning cycles – with the one you’ll probably want to use helpfully colored in blue – plus options to turn the spray on and off, or manually direct the cleaning path if required. Unfortunately, you need to be pointing the remote directly at the bot for it to register, which can sometimes be tricky to achieve. Ideally, I’d have used the companion app; app support is advertised for this model, but didn’t appear to be available at time of writing.

The bot will also provide information by yelling at you in a rather shrill voice, accompanied by various loud beeps. It needs to be loud to be heard over the suction of the machine, but that doesn’t make it any less irritating, especially given it repeats the same safety instructions every time you turn it on.

Hobot S7 Pro review: performance

  • Navigates accurately and doesn’t miss any spots
  • Excellent for maintenance cleans, but can smear dirtier windows
  • Not especially speedy, but does save on effort

The Hobot S7 Pro’s dual pads vibrate in a reciprocating (linear, side-to-side) motion to clean and buff your windows. The water tanks apply a fine mist onto the surface of the glass, but this is by no means a wet cleaning setup – after cleaning three large floor-to-ceiling windows, the pads were only very slightly damp around the edges.

It’s easy to get started, although if you’re unfamiliar with window-cleaning robots, you might need to watch a video or two to understand how it will work. You need to hold the bot against the window and switch it on manually – at this point the suction will kick in, along with a loud voice prompt, and you can let go.

(Image credit: Future)

Then you can start the cleaning run. Unlike, say, a robot vacuum, there’s no need to map anything first: just set off your preferred cycle and the bot will do the rest. I found the S7 Pro navigated my windows accurately, turning after it had bounced lightly against the window frame or sensed a gap in the glass. Route planning is apparently aided by AI, although each of the buttons on the remote launches a specific cleaning pattern, so I’m not exactly sure where the AI comes in.

The water tanks spray jets of mist – from the side the bot is moving towards – at regular intervals (it isn’t “continuous”, as some of the literature on the bot states). Filling the tanks to max gave me enough liquid to clean one side of one pane on my patio door, plus a bit more; but you’ll still have to top these up quite regularly.

The cleaning coverage is excellent: the S7 Pro left only a small margin around the edges of my framed windows. Previous Hobot window-bots have used two circular cleaning pads; the squared-off design here seems much better suited to regularly proportioned windows.

The ELB (Edge-Leakage-Bumper) sensors are designed to make this bot suitable for edgeless glass (explained more in the Design section). I tested it on some indoor glass partitions that have a 1.5in / 4cm gap at the sides, and the feature worked exactly as advertised – the bot stopped short of the wall and changed direction.

In terms of cleaning results, I’d give it a middling score. For lighter, maintenance cleans, it performed very well. Using it on relatively clean windows indoors, the results were excellent, with no smearing.

However, when faced with the dirtier outside panes of my patio doors, the S7 Pro struggled. While windows were left significantly cleaner than they had been, the results were streaky. I could see the path the bot had travelled, and the occasional caterpillar track-mark. Don’t expect the bot to be able to clean off caked-on dirt or bird poo, either.

Overall, I’m not sure that the ultra-fine mist is sufficient to tackle tougher dirt; I think a little more liquid would help. In addition, when using the S7 Pro outside, I could see that much of the mist was getting blown away in the breeze rather than landing on the window.

(Image credit: Future)

On dirtier windows, Hobot suggests you run a no-spray cycle first, to buff off surface dirt. I also found a brand video that recommended drizzling a little bit of cleaner solution on clean pads before starting, to help with grip. I found both of these tips improved the results on dirtier windows.

As as side note, the S7 Pro was also an unexpected win for cleaning behind the safety railings on some second floor, floor-to-ceiling windows; an area that’s extremely awkward to clean any other way.

(Image credit: Future)

Generally, the bot adhered well to my window, and felt securely attached when giving it a little tug after pausing operations. However, it did once fall off a window, seemingly for no reason.

In terms of timings, Hobot advertises that it will clean an area of 1 square meter in 2 minutes 36 seconds. In practice, a complete, standard cleaning run takes rather longer than that – in my tests, it cleaned a 1.3 square meter pane of glass in around 7 minutes 30 seconds. So you’re not saving a ton of time by opting for this method of cleaning, but you are saving on effort.

In general, like most robotic home assistants, the Hobot S7 Pro doesn’t do as good a job as a human would do with a manual tool. It’s designed for maintenance cleans that can be supplemented by the occasional proper window-wash, rather than to replace humans entirely. Also note that you can’t leave it to clean unattended – you’ll need to be present to move it from pane to pane.

  • Performance score: 3 out of 5

Should you buy the Hobot S7 Pro?

Swipe to scroll horizontally

Attribute

Notes

Rating

Value

Not an especially cheap solution, but in line with similar bots on the market.

3.5 / 5

Design

Square-shaped bot with effective dual reciprocating mop pads and ultrasonic spray. Remote control is a little too sensitive, and app control is absent. Voice alerts annoying.

4 / 5

Performance

Easy to use and navigation accurate and complete. Results are excellent on lightly dirty windows, but can smear when encountering more challenging dirt.

3 / 5

Buy it if…

Don’t buy it if…

How I tested the Hobot S7 Pro

I used the Hobot S7 Pro window cleaning robot to tackle various floor-to-ceiling windows, both inside and out. I tested its different cleaning modes, as well as the remote control option. I focused on how clean it left windows, if it missed any spots, and if it could achieve the advertised streak-free finish. I also assessed how easy it was to use, its noise level in operation, and if there were any design features that proved troublesome.

Read more about how we test



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