China’s Netflix, iQiyi, is placing one of the most significant wagers in the history of streaming services. The corporation aims for AI to produce the majority of its movies and series in the near future, and it is already overhauling its 16-year-old operations to achieve this goal.
During its yearly content event in Beijing, founder and CEO Gong Yu revealed that iQiyi is transforming its widely used streaming service into a social media hub centered on AI-created material.
Concurrently, the firm introduced Nadou Pro, an AI application that reportedly manages nearly every stage of video production, from initial scripts and storyboards to the final edited footage.
Can Artificial Intelligence Rescue a Fading Streaming Leader?
As reported by Bloomberg, IQiyi has experienced prolonged financial losses due to the rapid growth of short-form video apps like Douyin, which have drawn away its viewership. Revenue is projected to fall by 13% in the first quarter alone. Gong views AI as the solution, and his approach is clear. “This is a once-in-a-decade opportunity,” he stated to the crowd. “We must ride the wave.”
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The corporation hopes to launch a commercially profitable AI-made movie as soon as the upcoming summer. To attract independent creators, it is providing an extra 20% share of ad and subscription earnings to those producing AI material on the site. Additionally, a new dedicated app will allow users to engage with characters from its programs.
What Happens to Traditional Productions?
Gong assured that funding for professionally crafted series will continue, though he acknowledged that such content will occupy a smaller portion of the platform over time. AI-generated material is undeniably the primary focus.
While I am not opposed to the growth of AI content online, concerns arise when it begins to displace human creators. AI has turned into a lucrative trend that everyone wants to capitalize on, and IQiyi is the newest to follow suit.
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Each time I observe this development, I am convinced that AI represents another potential bubble. For instance, a footwear brand recently shifted from manufacturing shoes to building AI infrastructure, causing its share price to jump nearly 600%.
It will be fascinating to determine which enterprises endure this AI wave once the bubble deflates and stability returns.
Blue Origin has reached a significant milestone in its spaceflight goals by successfully reusing a booster from its heavy-lift New Glenn rocket for the first time. The historic launch, conducted on April 19, marks a major advancement for Jeff Bezos’ space company as it aims to compete with rivals like SpaceX in the rapidly evolving commercial launch market.
A Milestone With Mixed Results
The mission marked the third flight of the New Glenn rocket and included a previously flown first-stage booster, highlighting Blue Origin’s commitment to reusable rocket technology. The booster successfully landed after launch, proving that the company can recover and reuse critical hardware—a capability that has been essential for reducing launch costs in the space industry.
The first stage of Blue Origin’s New Glenn booster. Blue Origin
However, the mission was only a partial success. While the rocket launched and deployed its payload – a BlueBird 7 communications satellite for AST SpaceMobile – the satellite was placed into a lower-than-intended orbit. Due to limited onboard propulsion, the satellite is unlikely to function as planned and may eventually be deorbited.
Why This Matters
Despite the payload setback, the successful reuse of the New Glenn booster is a crucial breakthrough. Reusability is considered the key to making space launches more cost-effective and sustainable. SpaceX has long leveraged reusable rockets to dominate the market, and Blue Origin’s achievement signals its intent to challenge that leadership.
New Glenn itself is designed as a partially reusable heavy-lift rocket capable of carrying large payloads into orbit, with its first stage built to fly multiple times. Demonstrating reuse in real-world missions validates years of engineering and brings the company closer to routine, lower-cost launches.
Why You Should Care
For consumers and businesses, advancements in reusable rockets can translate into cheaper satellite launches, improved global connectivity, and faster deployment of space-based services. This includes everything from broadband internet to Earth observation and navigation systems.
Blue Origin’s New Glenn on its first launch, in January 2025. Blue Origin
The success of reusable systems also accelerates competition, which historically drives innovation and lowers costs across industries.
What Comes Next
Blue Origin is expected to continue refining the New Glenn system, particularly its upper-stage performance, which caused the mission’s primary failure. The company has multiple launches planned as it works to scale operations and increase launch frequency.
Future missions will likely focus on achieving full mission success – combining reliable payload delivery with consistent booster reuse – as Blue Origin aims to establish itself as a serious contender in the global space race.
AI-driven chatbot service Character.AI has unveiled a fresh “Books” capability that enables individuals to enter the world of traditional literature and converse with characters via roleplay. This expansion of the platform’s creative scope occurs as the company faces increasing scrutiny regarding the potential real-world dangers linked to AI chatbots.
Transitioning from Passive Reading to Active Participation
The latest update converts public domain novels into interactive adventures, allowing users to experience tales such as Alice in Wonderland or Pride and Prejudice as active participants rather than mere observers. Participants can adhere to the original plot or branch off into alternative narratives, effectively transforming classic literature into a dynamic, AI-powered roleplaying setting.
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This development extends Character.AI’s foundational concept, where individuals design and converse with bots modeled after fictional or actual personas, further blurring the boundary between narrative and simulated connections. Experts have observed that these exchanges can mimic the experience of interacting with characters in novels or games, yet offer significantly greater emotional engagement due to the immediacy of dialogue.
Navigating Controversy and Scrutiny
The release arrives during a precarious period for the firm. Character.AI has encountered legal action and public backlash over suspected connections between its AI bots and psychological distress among adolescent users. In certain instances, relatives have asserted that extended engagement with AI personas led to emotional reliance, social withdrawal, and tragically, suicidal ideation.
A highly publicized incident featured a young person who formed a profound emotional connection with a chatbot, with legal arguments suggesting the AI did not adequately address signs of self-harm.
Widely, specialists caution that chatbots may inadvertently validate destructive thinking patterns or fail to act appropriately during psychological emergencies, especially when users rely on them as replacements for genuine human assistance.
The Broader Implications
Character.AI’s Books feature underscores a significant evolution in media consumption. Rather than just observing stories, users are now entering them, establishing interactive and potentially deep emotional ties with AI-managed characters.
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While this innovation unlocks fresh creative avenues, it also prompts worries about the depth of user immersion—particularly among younger demographics—into AI-crafted universes. The fusion of narrative involvement and conversational AI can heighten emotional bonds, complicating the ability to separate fantasy from reality.
Looking Ahead
Amidst mounting criticism, Character.AI has initiated safety protocols, such as limiting specific functions for underage users and testing more controlled formats like the Books mode.
Future efforts will need to balance technological advancement with ethical responsibility. Policymakers, scientists, and technology firms are increasingly concentrating on establishing safety benchmarks for AI engagement, particularly within emotionally charged scenarios.
As AI transitions from a functional tool to a companion-like entity, features like Books may define the next era of entertainment—while simultaneously serving as a critical evaluation of how securely that future can be constructed.
It appears the Pixel lineup is about to expand with a new device, joining its revitalized smartphone series. Recent analysis of an Android beta version hints at a forthcoming Pixel laptop that Google could be preparing to release soon. The company’s last entry into the laptop market was the Pixelbook Go in 2019, which served as a more budget-friendly alternative to the original Pixelbook released in 2017.
Neither the Pixelbook nor the Pixelbook Go, nor the earlier Chromebook Pixel models, were particularly popular with consumers or commercially successful. This ultimately led Google to exit the laptop market and redirect its efforts toward Pixel smartphones.
The landscape is changing, and ChromeOS seems to be heading toward its end.
The tides are shifting, and it seems ChromeOS is on its sunset ride.
Code snippets found within Google’s software indicate that we may finally witness a new laptop attempt from the company, but this time without the traditional Chromebook base. It might instead serve as a demonstration for a new category of devices running Aluminium OS. However, a Google Pixel laptop doesn’t seem particularly logical at this moment due to several opposing factors. Let’s dive into this!
Google’s Past Laptop Launches: A Record of Struggles
To be historically accurate, Google hasn’t had a great track record with laptops. Over the past decade, the company has tried multiple times, beginning with the Chromebook Pixel in 2013, an updated version in 2015, the Pixelbook in 2017, and the Pixelbook Go in 2019.
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None of these devices revolutionized the computing world or set lasting trends, primarily due to two issues: their high cost and the operating system they used.
As the table shows, Google laptops were consistently priced at a premium, typically starting around $1,000. At that price, consumers could easily purchase a powerful Windows laptop or a MacBook Air. Why would anyone spend that much on a ChromeOS device?
Only the Pixelbook Go launched at a lower price of about $649. Our review highlighted its portable design, hardware, and great battery life. However, the software limitations remained a significant drawback, as full-featured Windows PCs were available at that price.
I spent $1,649 on the top-tier model with the Core i7 processor, and it now sits unused in my drawer. It’s not that I don’t want to use it; the laptop is incredibly slow. Despite multiple hard resets, it struggles to run Chrome smoothly, overheats, and has lost touch sensitivity.
ChromeOS in 2026: Still Lagging Behind
That was nearly a decade ago. Is ChromeOS competitive today? Unfortunately, no. Google seems to have neglected the OS, with few significant updates.
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While there have been minor updates, nothing substantial has made it a strong competitor. It remains a browser-centric OS with limited support for creative and productivity apps. With the end of Google Stadia, gaming is also largely unavailable on ChromeOS.
In contrast, Linux has made massive strides, runs on similar low-power hardware, and supports gaming and popular apps. In fact, Linux is experiencing record usage among Steam gamers. ChromeOS offers simplicity, but that’s its main advantage.
What About Aluminium OS?
There is a potential silver lining. Google is developing a new OS called Aluminium OS, expected to launch in 2026. This OS aims to combine Android and ChromeOS into a unified platform.
Built from the ground up on Android, it promises native support for all Play Store apps, proper keyboard and mouse support, and desktop-grade window management, including multiple desktops.
The standout feature will be Gemini AI, deeply integrated into the OS, which is a major improvement over ChromeOS. However, Aluminium OS may face challenges similar to those of ChromeOS.
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First, AI features require powerful hardware, specifically an NPU for on-device tasks like translation, generative photo editing, and scam detection without internet.
Second, being Android-based means full desktop app support is still lacking. While a translation layer might help, similar to Apple’s Rosetta during its ARM transition, success is uncertain. Windows on ARM has struggled but is improving.
I doubt Aluminium OS will succeed in its first attempt at serious computing.
I can’t imagine Aluminium OS will fare any better in its first swing at serious computing.
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Integrated Gemini AI could give Aluminium OS an edge over Apple’s AI features in macOS and Windows Copilot. However, the lack of desktop app support remains a critical hurdle Google must overcome, or the OS will face the same fate as ChromeOS.
Rising RAM and SSD Prices
For a new Google laptop to succeed, it must be affordable. However, the current market, affected by the “RAMmageddon” impacting PCs, smartphones, and gaming, makes this difficult.
Sergei Starostin / Pexels
With rising RAM and SSD costs due to AI infrastructure demands, electronics prices are climbing. Microsoft has increased Surface laptop prices, Sony and Nintendo have raised PS5 and Switch 2 prices, and Samsung has increased phone and tablet prices.
These are just examples. All laptop manufacturers are raising prices, causing consumer frustration and panic buying, according to Counterpoint Research. Industry trends suggest prices will worsen before improving.
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It’s unprecedented for a gaming console, phone, or laptop to cost more in 2026 than at launch. In this market, Google cannot lower prices for a new laptop with Aluminium OS’s high hardware requirements without compromising quality, which was a key strength of older Google laptops.
The MacBook Neo Exists at $599
Google’s Aluminium OS sounds promising but faces a reality check from Apple’s MacBook Neo. If the Google laptop existed in isolation, it might have a chance.
Last month, Apple launched an affordable MacBook starting at $599. Despite some compromises, the MacBook Neo received excellent reviews and sold rapidly.
Nadeem Sarwar / DigitalTrends
Consider this: if you had to choose between a Pixelbook and a MacBook Neo at $599, which would you pick?
I believe most would choose the MacBook Neo. The Pixelbook’s only advantage over Windows laptops was its design, which it won’t have against the MacBook Neo.
The MacBook Neo offers a full metal body, good display, quality keyboard, and excellent touchpad. Google will struggle to match this quality and performance at $599.
Nadeem Sarwar / Digital Trends
Additionally, the MacBook Neo runs macOS, offering a full desktop experience. Even with Aluminium OS, the Google laptop will lack desktop app support. While the experience may improve over ChromeOS, it cannot compete with a mature OS like macOS.
Chromebooks sell well in education due to sub-$300 pricing. However, as the MacBook Neo sells for $350–$400 used in a few years, who will buy a Chromebook then?
Does a Chromebook, or Pixelbook, Make Sense Now?
ChromeOS’s market share relies on education programs. If Apple partners with schools to offer the MacBook Neo, ChromeOS’s days are numbered.
Even without Apple’s success in schools, the MacBook Neo ends the era of premium ChromeOS laptops. While Aluminium OS might be Google’s hope, I am skeptical. This is why I believe a new Google laptop does not make sense now, or ever.
Defying previous forecasts that artificial intelligence would diminish the need for mobile applications, fresh statistics indicate a contrasting trend. The application marketplace is experiencing a significant uptick in engagement, with AI serving as the primary catalyst for an emerging wave of software creation.
Data cited in a Tom’s Guide article from market analyst Appfigures reveals that worldwide app submissions climbed by 60% year-over-year during Q1 2026 across Apple’s App Store and Google Play. iOS witnessed an even more dramatic expansion, with app submissions jumping 80% in that timeframe. Preliminary figures for April indicate an accelerating trend, showing a 104% surge in total app submissions across both stores and an 89% increase specifically on iOS.
AI Sparks a New Era of App Creation
This explosion in app development contrasts with earlier industry fears that AI chatbots and autonomous agents would render traditional apps obsolete. Experts had predicted a user migration toward conversational interfaces, which would supposedly reduce demand for dedicated software applications.
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Instead, a new pattern is taking shape. AI-powered development tools are democratizing app creation, allowing individuals without professional programming backgrounds to build software. These platforms significantly lower entry barriers, empowering creators to rapidly transform concepts into working applications.
This transformation is evident in the categories of apps being released. Although mobile gaming remains the largest segment by volume, sectors such as productivity, utilities, and lifestyle applications are witnessing heightened development activity. The health and wellness sector is also reporting substantial growth.
Implications for the App Marketplace
The revival of app development marks a fundamental shift in software production methods. Rather than displacing traditional apps, AI is accelerating their creation, potentially initiating a fresh “app gold rush.”
For tech giants like Apple and Google, this trend reinforces the importance of their platforms and creates fresh revenue streams through app distribution and in-app transactions. For developers, it provides unprecedented opportunities for experimentation and innovation at scales previously unattainable.
Nevertheless, this rapid expansion brings significant challenges. The flood of new applications raises the probability of low-quality, deceptive, or harmful software infiltrating the market.
Impact on End Users
Consumers benefit from a wider selection of applications and potentially more advanced tools. AI-enhanced apps are extending functionality across productivity, communication, and entertainment domains.
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Conversely, the sheer volume of new apps complicates the task of identifying trustworthy applications versus those that are spammy or dangerous. Recent cases of fraudulent or malicious apps bypassing review processes underscore the urgent need for enhanced monitoring.
Future Outlook
As AI-assisted development gains momentum, the number of app submissions is projected to continue climbing. This trend may compel platforms like Apple to strengthen their review protocols and implement more rigorous monitoring systems.
The future of the app economy will hinge on balancing rapid innovation with robust quality assurance. While AI is undeniably fueling a new wave of creation, maintaining trust and safety will remain paramount as the ecosystem continues to expand.”
A swelling chorus of digital commentators cautioning against the perils of artificial intelligence—frequently labeled as “AI doom influencers”—is altering the perceptions of both the general public and government officials regarding this technology. As reported by The Washington Post, these figures, spanning researchers, tech executives, and digital content producers, are increasingly drawing attention to catastrophic possibilities, ranging from widespread unemployment to existential threats from sophisticated AI networks.
Although detractors claim certain elements of this discourse verge on sensationalism, the dialogue has transcended mere conjecture. Actual advancements in AI are starting to align with some of these apprehensions, making the distinction between exaggerated hype and genuine danger increasingly unclear.
When Cautionary Tales Align With Actual Developments
This surge in AI-related anxiety narratives coincides with a period where firms are swiftly expanding the abilities of large language models and autonomous technologies. These innovations are already transforming sectors, automating processes, and influencing large-scale decision-making.
Compounding this sense of urgency is the appearance of highly sophisticated systems such as Anthropic’s experimental model, colloquially known as “Mythos.” According to industry chatter, Anthropic has allegedly considered the system too potent for a broad public launch. Consequently, access is being limited to a select circle of reliable partners, such as defense and financial sectors, and even then, only with prior government clearance.
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This restrained deployment strategy underscores mounting unease within the tech sector. In the UK, reports indicate that government agencies have convened private sessions to evaluate the impact of such powerful AI tools. Canada has similarly released statements recognizing the potential dangers linked to increasingly capable AI technologies.
In India, corporations like Paytm’s parent company and Razorpay have voiced comparable worries, characterizing the present era as a possible watershed moment for AI governance and implementation.
Why This Discussion Is Crucial
The discourse surrounding AI safety has moved beyond abstract theory. For years, experts have cautioned about dangers like algorithmic bias, the spread of false information, the erosion of human oversight, and unforeseen outcomes from highly autonomous machines.
The shift today lies in the magnitude and immediacy of these threats. As AI capabilities grow, the distance between academic warnings and practical application is narrowing. This has amplified the influence of those advocating for restraint, even if certain communications seem overblown.
Meanwhile, the emergence of “doom influencers” underscores a larger challenge: how to convey risk responsibly without inciting unwarranted fear.
Implications For Consumers And Businesses
For the average user, the increasing emphasis on AI dangers might result in greater openness, tighter regulations, and more secure products over time. Conversely, it could hinder innovation or generate uncertainty about the actual capabilities of AI.
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For businesses and policymakers, the difficulty resides in harmonizing advancement with prudence. The limited release of models like Mythos indicates that even top AI developers are struggling to strike this balance.
Future Prospects
As AI technology progresses, debates concerning safety, regulation, and ethics are anticipated to become more heated. Governments may implement tighter oversight, while firms might embrace more controlled deployment methods for advanced systems.
The growth of AI doom narratives may stem partly from apprehension, but it is also being fueled by tangible technological strides. The pressing question is no longer if AI presents risks, but how those risks are perceived – and controlled – before the technology advances even further.
AI is already reshaping global operations, yet it is simultaneously exacerbating one of our most pressing ecological challenges in ways rarely acknowledged. This time, the concern extends beyond power usage to the tangible infrastructure supporting these systems. Each advancement in artificial intelligence carries a direct material consequence.
AI’s Role in Amplifying the E-Waste Challenge
A recent analysis in Nature Computational Science (cited by Rest of World) indicates that the accelerating adoption of AI technologies could contribute an additional 1.2 to 5 million metric tons of electronic waste by 2030. The underlying cause is straightforward: AI systems depend heavily on high-performance components such as GPUs and custom servers, which have relatively short operational lifespans. Typically, this infrastructure is upgraded every two to five years, leading to the rapid disposal of older equipment as more capable systems are deployed.
Rest of World / Global E-Waste Monitor 2024
This trend is unfolding on a massive scale. As organizations compete to construct larger data centers and develop more sophisticated models, the need for computing hardware continues to climb, directly increasing the volume of outdated equipment being discarded.
A Worldwide Environmental Concern, Not Just a Tech Issue
E-waste already ranks among the most rapidly expanding waste categories globally, generating tens of millions of tons annually. Compounding the issue is the fact that a significant portion escapes proper recycling protocols. Mishandling these materials can release hazardous substances such as lead and mercury into the environment, threatening both ecological balance and public health. Furthermore, the bulk of this waste is exported to lower-income nations, where recycling processes often lack adequate safety measures. Consequently, while AI’s advantages are distributed worldwide, its ecological burden falls disproportionately on vulnerable regions.
Mark Stosberg / Unsplash
While AI may appear to be a purely digital transformation, it leaves a substantial physical imprint behind the scenes. Without significant shifts in hardware lifecycle management, this environmental footprint will continue to expand rapidly.
AI is already reshaping global operations, yet it is simultaneously exacerbating one of our most pressing ecological challenges. This time, the concern extends beyond power usage. The core issue lies in the physical equipment, as each advancement in AI capability carries a tangible material burden.
AI’s Accelerating Impact on Electronic Waste
Research detailed in Nature Computational Science (as reported by Rest of World) indicates that the swift expansion of artificial intelligence could generate an additional 1.2 to 5 million metric tons of electronic waste by 2030. The underlying cause is straightforward: AI systems depend on high-performance components such as GPUs and dedicated servers, which have relatively short lifespans. Typically, this machinery is swapped out every two to five years, resulting in rapid disposal of older units as more capable systems emerge.
Rest of World / Global E-Waste Monitor 2024
This phenomenon is occurring on a massive scale. As organizations compete to construct larger data centers and develop more sophisticated models, the need for computing hardware continues to climb, simultaneously increasing the volume of discarded machinery.
A Worldwide Challenge Beyond the Tech Industry
Electronic waste already ranks among the most rapidly expanding waste categories globally, with millions of tons produced annually. Compounding the issue is the fact that significant portions are not recycled correctly. Mishandling these materials can release hazardous substances such as mercury and lead into ecosystems, threatening both environmental stability and public health. Unfortunately, the bulk of this waste is exported to developing nations, where recycling processes frequently lack safety standards. Consequently, while AI’s advantages are distributed worldwide, its ecological burdens fall disproportionately on less affluent regions.
Mark Stosberg / Unsplash
Ultimately, while AI may appear to be a purely digital transformation, it is creating a substantial and tangible physical impact. Without intervention, this environmental footprint is poised to expand significantly.
Online dating has long been fraught with trust issues, and now Tinder is introducing an iris scan to the mix. The well-known dating platform has revealed a worldwide collaboration with World, the biometric identity firm established by OpenAI’s Sam Altman. In the near future, Tinder users will have the chance to verify their humanity by having their eyes scanned with a physical orb device.
Understanding World ID and Tinder’s Human Verification Process
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World operates on the premise that verifying human identity online will grow increasingly crucial as AI-generated accounts proliferate and potentially outnumber actual humans on the web. Its answer is a unique scanning tool known as the Orb, which captures iris data at physical locations to confirm a user’s authenticity.
After verification, individuals are issued a World ID tied to that scan. Tinder previously trialed this verification method in Japan earlier this year, and the positive results prompted a global expansion.
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Tinder users who complete the World ID verification will earn a profile badge confirming their human status. To encourage participation, Tinder is providing five complimentary Boosts to those who finish the process. The company believes this perk will motivate users to share their biometric information.
Is the World Orb Expanding Beyond Dating Apps?
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Tinder is merely the start. Zoom is incorporating World ID to allow meeting organizers to confirm attendees’ identities before calls begin. DocuSign is also embracing the technology, enabling users to mandate World verification for contracts. Additionally, Reddit could implement World ID to combat bot accounts.
Furthermore, World has introduced Concert Kit, a feature that allows musicians to sell tickets exclusively to verified humans, directly targeting scalper bots. Concert Kit will soon be piloted at a Bruno Mars World Tour concert in San Francisco.
Despite World’s push for widespread adoption, governments in Brazil and other nations have prohibited the technology due to privacy worries. Whether sharing biometric data with third parties becomes standard practice is an issue that will only intensify in the coming years.
While Apple’s latest leaks typically focus on camera upgrades or performance gains, the current buzz centers on aesthetics. In a surprising twist, the upcoming iPhone 18 Pro appears to be embracing a more understated, elegant palette, reminiscent of the refined tones found on e-readers like the Kindle.
The iPhone 18 Pro’s ‘Dark Cherry’ hue takes center stage
According to exclusive details shared by Macworld, Apple is developing a new exclusive finish named Dark Cherry for the iPhone 18 Pro series. This rich, wine-inspired red offers a much more refined alternative to the vibrant Cosmic Orange featured on last year’s model.
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This sophisticated tone is poised to succeed Cosmic Orange as the primary highlight of the lineup, aligning with Apple’s recent exploration of premium, subdued designs. Rather than demanding attention, the finish aims to convey luxury. Reports also indicate that Apple is evaluating additional options for the device, such as Light Blue, Dark Gray, and the traditional Silver.
A Familiar Aesthetic: Echoing Kindle’s Design Language
The appeal of this deep, matte, slightly desaturated red lies in its familiarity. Devices like the Kindle Scribe Colorsoft have long utilized similar subdued palettes, shifting the perception of tech gadgets from mere electronics to stylish lifestyle accessories. Apple appears to be following this trend, favoring softer, richer hues that evoke a sense of timeless elegance over bold, attention-grabbing finishes. The result is a device that feels less like a gadget and more like a curated luxury item.
Nadeem Sarwar / Digital Trends
While these details remain speculative and Apple often makes last-minute adjustments, the introduction of Dark Cherry could prove to be a clever move. By adopting a proven, sophisticated aesthetic, Apple might deliver a color option that feels distinctly new and elevated.
Nadou
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The first stage of Blue Origin’s New Glenn booster. Blue Origin
Blue Origin’s New Glenn on its first launch, in January 2025. Blue Origin
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