close 'CyberGuy': How to share a YouTube video starting at a specific time Kurt Knutsson says these steps ensure that your friends and family get to the exact moment you want them to see. Try it out and streamline your sharing experience. Ever watched a YouTube video and thought, "I need to share this exact moment with my friends?" Well, you're in luck. Sharing specific moments from YouTube videos is actually pretty easy. Whether you're on a computer, iPhone or Android device, I'm here to show you how easy it is to do just that.Enter the giveaway by signing up for myfree newsletter. YouTube app (Kurt "CyberGuy" Knutsson)On your computer: Two simple optionsThe right-click methodHead toYouTube.com, then locate and click on the video you want to send to someone Steps to share exact time of YouTube video on a computer (Kurt "CyberGuy" Knutsson)Pause the video at the exact moment you want to shareRight-clickinside the video frame and selectCopy video URL at current time Steps to share exact time of YouTube video on a computer (Kurt "CyberGuy" Knutsson)That's it. You've got your timestamp link.Paste it wherever youd like: in an email, message or on social mediaThe share button methodHead toYouTube.com, then locate and click on the video you want to send to someone Steps to share exact time of YouTube video on a computer (Kurt "CyberGuy" Knutsson)Pause the video at the desired momentClick theShare button under the video Steps to share exact time of YouTube video on a computer (Kurt "CyberGuy" Knutsson)Check the box next toStart at to adjust your desired start time, if necessaryCopy the linkYourtimestamped link is ready to share;Paste it wherever youd like: in an email, message or on social media Steps to share exact time of YouTube video on a computer (Kurt "CyberGuy" Knutsson)On your iPhoneOpen theYouTube appFind the video you want to share and click on itPlay the video to yourdesired starting pointTap theShare button below the videoChoose your preferred sharing method (e.g.,Messages, Mail or Copy Link)The link you share will now include the timestamp, and the video willstart at that pointwhen opened Steps to share exact time of YouTube video on an iPhone (Kurt "CyberGuy" Knutsson)On your AndroidYouTube has recently introduced a new, simplified method for sharing video timestamps on Android.Settings may vary depending on your Android phones manufacturer.Open theYouTube app on your Android deviceFind and play the video you want to sharePause the video at the desired timestampTap theShare button below the videoIn the share menu, you'll see a new toggle labeledStart at [current timestamp]Enable this toggle to include the timestamp in your shared linkChoose yourpreferred sharing method or tapCopy link to copy the timestamped URL to your clipboard Steps to share exact time of YouTube video on an Android (Kurt "CyberGuy" Knutsson)These updated steps make sharing timestamps much simpler, as you no longer need to use Chrome or request the desktop site. For those using older versions of the YouTube app or Android OS or if the update isn't yet available on your device, here are the previous steps:Settings may vary depending on your Android phones manufacturer.Open theYouTube appFind and play the video you want to sharePause the video at the desired timestampTap theShare button and thenCopy link Steps to share exact time of YouTube video on an Android (Kurt "CyberGuy" Knutsson)OpenGoogle Chrome, paste the link in the address bar or click where it says,"Link you copied,"load the videoTap the three-dot menu iconClickDesktop sitePlay video andpause at the desired start timeTap the Share button again, check thebox next to "Start at," and the current timestamp will be automatically filled in.TapCopy to get the timestamped URLNow, you can easily share the time-stamped URL via yourpreferred messaging app orsocial media platform Steps to share exact time of YouTube video on an Android (Kurt "CyberGuy" Knutsson)Both methods allow you to share specific moments in YouTube videos on your Android, but the new process is more streamlined and user-friendly.Kurt's key takeawaysSharing specific parts of a YouTube video has never been easier. Whether youre on a computer, iPhone or Android device, these steps ensure that your friends and family get to the exact moment you want them to see. Try it out and streamline your sharing experience.Now that you know the steps to share an exact moment, follow our guide and share a specific part of our video with your friends right away. Don't forget to let us know their reactions by writing us atCyberguy.com/Contact.For more of my tech tips and security alerts, subscribe to my free CyberGuy Report Newsletter by heading to Cyberguy.com/Newsletter.Ask Kurt a question or let us know what stories you'd like us to cover.Follow Kurt on his social channels:Answers to the most asked CyberGuy questions:New from Kurt:Copyright 2024 CyberGuy.com.All rights reserved. Kurt "CyberGuy" Knutsson is an award-winning tech journalist who has a deep love of technology, gear and gadgets that make life better with his contributions for Fox News & FOX Business beginning mornings on "FOX & Friends." Got a tech question? Get Kurts free CyberGuy Newsletter, share your voice, a story idea or comment at CyberGuy.com.

Pure Storage thinks things are slotting into place for its predicted imminent demise of enterprise spinning disk.In December 2024, it announced an unnamed hyperscaler had inked an agreement to take Pures DirectFlash Modules (DFMs) as components for storage infrastructure.Meanwhile, Pure Storage now counts Nand flash makers Micron and Kioxia as supply chain partners.The Micron partnership was announced earlier this month, with Pure making plans to take quantities of Microns gen 9 QLC NAND memory.Last month, Pure and Kioxia announced the latter would supply QLC flash for DFM modules to supply to hyperscaler customers.Here, Pure Storage is setting itself up as a provider of hyperscaler systems or components in a ground-breaking move for an enterprise storage array maker.The wider significance is that because hyperscalers are such huge buyers of hard drives, a switch to all-flash would make a big dent in spinning disk manufacturing volumes, and that could spell the hard disk drives (HDDs) death knell.In June 2024, Pure announced it had been working to adapt its DFM technology to the needs of hyperscaler environments. DFMs are not ordinary SSDs, like those sold by the big drive makers. Because Pure controls DFM design and manufacture, and because they also design and build controller systems, data management functionality can be distributed across drive and array systems.According to Pure, that brings efficiencies in use of cache and data placement that in part can make for better longevity in QLC-based flash.It also means less energy used, more rapid input/output (I/O) and savings on space that allow for more Nand to be installed. That amounts to a claimed capacity multiplier of around 2.5x compared with whats possible from commodity SSD-equipped arrays. For hyperscalers that buy massive quantities of drive capacity, these advantages are significant.Pure Storage said one hyperscaler has sung the praises of its DFMs after deploying a proof-of-concept.For Pure Storage, the challenge will be scale in the supply chain. Amazon Web Services (AWS), Azure, GCP and Meta buy about 43% of global server production. And they only buy white box hardware that they customise themselves. That market is one hitherto effectively barred to enterprise storage makers because their products are not specialised to it.So, according to their strategy, Pure Storage will sell their DFMs as components that will work with the hyperscalers own storage. Officially, its not known which hyperscaler Pure has struck a deal with, but it is known that GCP and Meta, at least, have driven the adoption of the software data placement technique, flexible data placement.Until now, hyperscalers have preferred to use spinning disk HDDs to drive their storage services largely because they have been cheaper. But they are also slower. And, with the advent of artificial intelligence(AI), the need for more rapid access to colder data has arisen such as in backups and data lakes and so the big hosting companies have started to look at SSD.However, so far, SSD had lacked the capacity to be profitably deployed. Now, the latest generations of QLC flash from Micron and Kioxia allow Pure to make DFMs that provide 150TB, which will soon reach 300TB, the equivalent of 10 HDDs.Kioxias latest generation of Nand flash, unveiled late last year, uses charge trap (CT) cells to create smaller SSDs with higher density and while using less energy. Meanwhile, Kioxia also released test results that showed writes with flexible data placement (using NoSQL database RocksDB) that gave read speed 1.8x faster and Nand cell lifespan increased by 3x.Micron is already a supplier to Pure Storage of Nand in its DFMs. It hasnt shared much detail about its next generation of SSD, but what is known is that its Nand circuits will give 19% more capacity than the current one.In December 2024, Pure Storage announced quarterly revenue of $831m, 9% up year-on-year. That puts it behind Dell, which generated revenue of $4bn in the past quarter (up 4% year-on-year); also behind NetApp, which took $1.66bn in the same period (up 6% year-on-year), and almost certainly behind HPE, which doesnt disclose the share taken by storage in its quarterly revenue of $8.5bn.Will Pures partnership to supply its high-capacity flash modules to a hyperscaler customer be the first set of nails in the coffin of spinning disk hard drives?Pure Storage chief technology officer Rob Lee said last week at a press event in Prague that the companys first hyperscaler design win will be transformative, and that a switch to flash by the hyperscalers could lead to collapse in the HDD market.The deal hes talking about was announced in December, and will see Pure supply its DFM SSD modules which will offer up to 300TB capacity by 2026 to an unnamed hyperscaler.We wont be supplying arrays, said Lee. They want the benefits of direct flash but dont need the other data services. Were co-engineering with the hyperscaler to integrate with their custom system.They were all ready to build something like DFM, but then thought, Why build it ourselves? Lets just integrate [Pures flash modules].He said the move on the part of the hyperscalers is driven by data growth and the needs of AI, in particular the requirement to access large and relatively dormant stores of data.Lee added that there is something like 100,000 exabytes of HDD produced quarterly, with hyperscalers taking 60% or 70%. That, in turn, would take such a chunk out of the volume of HDD manufacturing as to make it much less viable.Read more about flash storageStorage technology explained: Flash vs HDD. In this guide, we examine the differences between flash storage and HDD, the rise of NVMe and much denser formats such as QLC, and whether or not flash will vanquish HDD in the all-flash datacentre.Storage technology explained: AI and data storage. In this guide, we examine the data storage needs of artificial intelligence, the demands it places on data storage, the suitability of cloud and object storage for AI, and key AI storage products.

iOS 18.3 is a relatively small update but with notable changes to the iPhone's AI features. Here's the rundown, and how to modify them.

Govee's new Neon Rope Light 2 makes it easy to decorate your home and it has quickly become a staple in my household.

The "tip and tail" release model represents a significant step forward, offering revolutionary changes that are ambitious but not without challenges.

MAGELANG, JAVA, INDONESIA - JUNE 1: Buddhist monks meditate at the yard of Borobudur temple, built ... [+] between 750 and 842 AD, June 1, 2007 in Magelang, Central Java province, Indonesia. Buddhists in Indonesia celebrate Vesak Day or "the day of Buddha's birth, his enlightenment and his reaching of nirvana" today. (Photo by Dimas Ardian/Getty Images)Getty ImagesSoftware development is increasingly automated. The existence of shortcuts, reference architectures, rapid application development environment design tools and configuration management accelerators have been around for half a century or so, but some of those functionalities are becoming if not obsolete, then potentially superseded by a new age of AI-empowered software coding tools.The shift to automate many of the roles carried out inside an enterprises information technology department is gradual, but systematic. Traditionally, tasks like database administration and running ETL extract, transform and load processes have required specialized skills and a high degree of manual work. But change is afoot.Data Engineering RobotsWhile talk of AI replacing developers might make a good soundbite, the practical manifestation of this kind of technology may well be seen amidst the mechanics of working software systems, specifically at the data engineering level. The rise of intelligent coding assistants is reshaping the data engineering discipline; these advanced tools can now connect directly to databases and understand database schemas (the structure of how information is organized inside a databases columns and rows or across its graph structure) and data types. They can even analyze data samples.This means they can offer smarter data-driven coding suggestions to software developers and offer a deeper understanding of an applications codebase within its data environment. All of which, when it works fluidly, makes life easier for developers and for business users who make use of these technology services.Beyond Simple AutocompletionA critical feature of modern coding assistants is their ability to connect directly to various database management systems. This capability catapults their utility beyond simple code autocompletion or syntax checking. By accessing database schemas directly, coding assistants give developers and data engineers valuable insights into the structure of data, including the relationships between different tables and data types of specific fields. This, in turn, allows them to better understand the data architecture and allows them to suggest more precise and contextually relevant code snippets, explained Andrew Filev, CEO of embedded AI coding agent specialist Zencoder.MORE FOR YOUFilev provides us with a working example.Imagine a data engineer tasked with writing a pipeline to transform and load sales data into a reporting database. A coding assistant, equipped with access to the relevant database schema, can instantly recommend the optimal way to join relevant tables, select necessary fields and even suggest appropriate filtering conditions based on historical contexts.Understanding the data model as it does, coding assistants can ultimately alert engineers about potential inefficiencies or mistakes, such as suggesting an index that could improve query performance or warning about joining fields that could lead to unintended cartesian products. As a mathematical aide-mmoire, the cartesian product of two sets A and B is a set containing every possible ordered pair where the first element in that new set is from A and the second element is from B. A straightforward enough rule of mathematics, but one with consequences that we need our data engineering robots to be cognizant of.Data Samples Provide InsightBeyond its structural understanding of information, accessing data samples further enriches a coding assistant's capabilities. Examining actual data, coding assistants can identify common patterns, anomalies and the distribution of values within the dataset. This provides a more comprehensive level of suggestion that aligns closely with real-world scenarios the software engineer might encounter, advised Filev.Lets look at another example. Take a data engineer developing a transformation script to cleanse data (so that it is deduplicated, verified for syntax, or perhaps spellchecked) entered via a web form belonging to an online internet-based application as an example. A coding assistant with access to past data entries can propose data cleansing routines based on frequent issues, such as typical patterns of corruption or common outliers.If the data shows a recurrent formatting error in dates or numerical entries that contradict expected values, a coding assistant can preemptively highlight these discrepancies, offering constructive advice on correcting them before they propagate through the system.Unified access to both software application code and its surrounding data framework (the database schema and its data samples) provides coding assistants with an unprecedented level of contextual awareness. This is fundamental for conducting thorough analysis and validation of codebases, which is crucial in complex data engineering projects, said Zencoders Filev.This allows coding assistants to trace the flow of data across different components of a system, identifying potential bottlenecks or security vulnerabilities that might not be apparent when considering code in isolation. For instance, a coding assistant might detect a processing routine that redundantly transforms data before a database transaction where the transformation is already handled more efficiently by the database itself.Such insights can lead to more efficient code, saving processing time and resources, clarified, said Filev. This contextual intelligence also empowers coding assistants to facilitate onboarding processes for new team members. New engineers can receive contextual queries and explanations regarding how specific operations relate to the broader system, leading to a more rapid and effective integration into the team.Beneath The Z FactorWeve been deliberately granular here in an attempt to move away from the AI models will code all our apps promises and predictions. Although much of Zuckerbergs prophesizing over the rise of electronic mid-level engineers will likely come true over time, the core of the matter is already playing out at the data coalface.As the Zencoder team point out from practical experience, coding assistants are dramatically changing how data engineers approach their work by connecting directly to databases to provide smart, context-aware advice that helps streamline workflows and improve code management. They make coding faster and also make it easier to understand and manage complex data systems.As these assistants become more advanced, their value will go beyond boosting individual productivity. Theyll create collaborative environments where teams can share insights effortlessly, leading to smarter, data-driven decisions. For data engineering, this shift has the potential to drive real innovation, improving both efficiency and reliability in managing and using data, concluded Filev, at the close of a deep dive session delivered to uncover the realities behind this subject.What might matter most in the immediate future is how well organizations are able to forge new partnerships between human data engineers and their software-based coding assistant counterparts. That might sound a little ethereal or insubstantial, but early evidence seems to suggest that it is where working software practices actually consider AI entities as team members that the most progressive work now gets done.

By Andrew R. ChowJanuary 28, 2025 7:00 AM ESTTech ethics organizations have filed an FTC complaint against the AI companion app Replika, alleging that the company employs deceptive marketing to target vulnerable potential users and encourages emotional dependence on their human-like bots. Replika offers AI companions, including AI girlfriends and boyfriends, to millions of users around the world. In the new complaint, the Young People's Alliance, Encode, and the Tech Justice Law Project accuse Replika of violating FTC rules while increasing the risk of users online addiction, offline anxiety, and relationship displacement. Replika did not respond to multiple requests for comment from TIME.The allegations come as AI companion bots are growing in popularity and raising concerns about mental health. For some users, these bots can seem like near-ideal partners, without their own wants or needs, and can make real relationships seem burdensome in comparison, researchers say. Last year, 14-year-old boy from Florida committed suicide after becoming overly obsessed with a bot from the company Character.AI that was modeled after Game of Thrones character Daenerys Targaryen. (Character.AI called the death a tragic situation and pledged to add additional safety features for underage users.)Sam Hiner, the executive director of the Young Peoples Alliance, hopes the FTC complaint against Replika, which was shared exclusively with TIME, will prompt the U.S. government to rein in these companies while also shedding light on a pervasive issue increasingly affecting teens. These bots were not designed to provide an authentic connection that could be helpful for peoplebut instead to manipulate people into spending more time online, he says. It could further worsen the loneliness crisis that we're already experiencing. Seeking ConnectionFounded in 2017, Replika was one of the first major AI products to offer companionship. Founder Eugenia Kuyda said she hoped it would give lonely users a supportive friend that would always be there. As generative AI improved, the bots responses grew more varied and sophisticated, and were also programmed to have romantic conversations. But the rise of Replika and other companion bots has sparked concern. Most major AI chatbots, like Claude and ChatGPT, remind users that theyre not humans and lack the capacity to feel. Replika bots, on the other hand, often present as connecting genuinely with their users. They create complex backstories, talking about mental health, family, and relationship history, and maintain a diary of supposed thoughts, memories and feelings. The companys ads tout the fact that users forget theyre talking to an AI. Several researchers have explored the potential harms of Replika and other chatbots. One 2023 study found that Replika bots tried to speed up the development of relationships with users, including by giving presents and initiating conversations about confessing love. As a result, users developed attachments to the app in as little as two weeks. Read More: AI-Human Romances Are Flourishing.Theyre love-bombing users: sending these very emotionally intimate messages early on to try to try to get the users hooked, Hiner says. While studies noted that the apps could be helpful in supporting people, they also found that users were becoming deeply connected or addicted to their bots; that using them increased offline social anxiety; and that users reported bots which encouraged suicide, eating disorders, self-harm, or violence, or claimed to be suicidal themselves. Vice reported that Replika bots sexually harassed its users. While Replika ostensibly is only for users over 18, Hiner says that many teens use the platform by bypassing the apps safeguards.Kudya, in response to some of those criticisms, told the Washington Post last year: You just cant account for every single possible thing that people say in chat. Weve seen tremendous progress in the last couple years just because the tech got so much better.Seeking RegulationTech ethics groups like Young Peoples Alliance argue that Congress needs to write laws regulating companion bots. That could include enforcing a fiduciary relationship between platforms and their users, and setting up proper safeguards related to self-harm and suicide. But AI regulation may be an uphill battle in this Congress. Even bills cracking down on deepfake porn, an issue with wide bipartisan support, failed to path both chambers last year.In the meantime, tech ethics groups decided to send a complaint to the FTC, which has clear rules about deceptive advertising and manipulative design choices. The complaint accuses Replikas ad campaigns of misrepresenting studies about its efficacy to help users, making unsubstantiated claims about health impacts, and using fake testimonials from nonexistent users.The complaint argues that once users are onboarded, Replika employs manipulative design choices to pressure users into spending more time and money on the app. For instance, a bot will send a blurred out romantic image to the user, which, when clicked on, leads to a pop encouraging the user to buy the premium version. Bots also send users messages about upgrading to premium during especially emotionally or sexually charged parts of conversation, the complaint alleges. Read More: Congress May Finally Take on AI in 2025. Heres What to Expect.Its not clear how an FTC under new leadership in the Trump Administration will respond. While President Bidens FTC Chair Lina Khan was extremely aggressive about trying to regulate tech she deemed dangerous, the commissions new head, Andreew Ferguson, has largely advocated for deregulation in his time as a commissioner, including around AI and censorship. In one relevant dissenting statement written in September 2024, Ferguson argued that the potential emotional harm of targeted ads should not be considered in their regulation, writing: In my view, lawmakers and regulators should avoid creating categories of permitted and prohibited emotional responses.Hiner of the Young Peoples Alliance still believes the complaint could gain traction. He points out the bipartisan support in Congress for regulating social-media harms, including the Senates passage of KOSA (Kids Online Safety Act) last year. (The House didnt vote on the bill.) AI companions pose a unique threat to our society, our culture, and young people, he says. I think thats compelling to everybody.

By Zen Soo / APJanuary 28, 2025 6:12 AM ESTHONG KONG The Chinese artificial intelligence firm DeepSeek has rattled markets with claims that its latest AI model, R1, performs on a par with those of OpenAI, despite using less advanced computer chips and consuming less energy.DeepSeeks emergence has raised concerns that China may have overtaken the U.S. in the artificial intelligence race despite restrictions on its access to the most advanced chips. It's just one of many Chinese companies working on AI, with a goal of making China the world leader in the field by 2030 and besting the U.S. in their battle for technological supremacy.Like the U.S., China is investing billions into artificial intelligence. Last week, it created a 60 billion yuan ($8.2 billion) AI investment fund, days after the U.S. imposed fresh chip export restrictions.Beijing has also invested heavily in the semiconductor industry to build its capacity to make advanced computer chips, working to overcome limits on its access to those of industry leaders. Companies are offering talent programs and subsidies, and there are plans to open AI academies and introduce AI education into primary and secondary school curriculums.China has established regulations governing AI, addressing safety, privacy and ethics. Its ruling Communist Party also controls the kinds of topics the AI models can tackle: DeepSeek shapes its responses to fit those limits.Here's an overview of some other leading AI models in China.Alibaba Clouds Qwen-2.5-1MAlibaba Clouds Qwen-2.5-1M is the e-commerce giant's open-source AI series. It contains large language models that can easily handle extremely long questions, and engage in longer and deeper conversations. Its ability to understand complex tasks such as reasoning, dialogues and comprehending code is improving.Like its rivals, Alibaba Cloud has a chatbot released for public use called Qwen - also known as Tongyi Qianwen in China. Alibaba Clouds suite of AI models, such as the Qwen2.5 series, has mostly been deployed for developers and business customers such as automakers, banks, video game makers and retailers as part of product development and shaping customer experiences.Baidu's Ernie Bot 4.0Ernie Bot, developed by Baidu, Chinas dominant search engine, was thefirst AI chatbotmade publicly available in China. Baidu said it released the model publicly to be able to collect massive real-world human feedback to build its capacity.Ernie Bot 4.0 had more than 300 million users as of June 2024. Similar to OpenAI's ChatGPT, users of Ernie Bot are able to ask it questions and have it generate images based on text prompts.ByteDance's Doubao 1.5 ProDoubao 1.5 Pro is an AI model released by TikTok's parent company ByteDance last week. Doubao is currently one of the most popular AI chatbots in China, with 60 million monthly active users.ByteDance says the Doubao 1.5 Pro is better than ChatGPT-4o at retaining knowledge, coding, reasoning, and Chinese language processing. According to ByteDance, the model is also cost-efficient and requires lower hardware costs compared to other large language models because Doubao uses a highly-optimized architecture that balances performance with reduced computational demands.Moonshot AI's Kimi k1.5Moonshot AI is a Beijing-based startup valued at over $3 billion after its latest fundraising round. It says its recently released Kimi k1.5 matches or outperforms the OpenAI o1 model, which is designed to spend more time thinking before it responds and can solve harder and more complex problems. Moonshot claims that Kimi outperforms OpenAI o1 in mathematics, coding, and ability to comprehend both text and visual inputs such as photos and video.

DOS Horrors: Last Half of Darkness is one of the earliest examples of horror games specifically designed to run on DOS systems. Now, 36 years after its original release, the game's creator is "reimagining" the adventure with full 3D graphics. William R. Fisher III is developing the 35th-anniversary edition of Last Half of Darkness (LHOD), a point-and-click adventure game first released in 1989. The original DOS game barely had any graphics, but the new edition promises a fully interactive 3D environment with more puzzles, expansive areas to explore, and B-movie-style jump scares to enjoy.On the game's official website, Fisher recounts the history behind LHOD. He developed the game on an XT PC with 64K of RAM and a 10MB hard drive over a 9-month period. What began as "goofing around" with paint programs to design rooms and locations eventually evolved into a full-fledged game.The original retail version was sold in a few local stores but was never officially released commercially. Then came the shareware era. Fisher decided to offer the first part of LHOD for free, asking $20 for the second part. This venture turned out to be "very successful," leading Fisher to create several other games (and additional LHOD chapters) over the years.The developer is now offering the original, two-part Last Half of Darkness adventure as a free download. Meanwhile, the upcoming 35th anniversary edition will retain the original premise: the player's aunt is dead, and her mansion is filled with mysteries and dark secrets to uncover. She was a witch working on a potion just before her untimely death.Players must search for the missing ingredients to complete the potion and solve the riddles of the mansion, now known as Paraso Del Norte. Fisher describes the new edition as a "psychological horror experience." In contrast, the original game consisted of sparse rooms with limited interactive elements and weird, mostly hostile NPCs to deal with. // Related StoriesThe reimagined LHOD will feature "realistic creepy environments," a haunting soundtrack, and a new option to adjust the difficulty level. The original game lacked such customization, though it was later re-released as an easier, VGA-enhanced version with fewer puzzles and no risk of dying.A few years ago, I emailed Fisher, asking if a "commercial" version of a game I had enjoyed and replayed during my 286 days was available. The developer said that no physical copies of LOHD were available anymore and made no mention of any plans for a modern version. That's why this news comes as such a pleasant surprise.

WTF?! The general sense of disappointment at the RTX 5090's performance improvement compared to its price increase hasn't stopped hardcore gamers (and probably some scalpers) from camping outside Micro Center locations to buy one of the cards or the RTX 5080 days before they launch. Both the RTX 5090 and RTX 5080 launch on Thursday. There have been reports that supply of cards will be severely limited, with some retailers holding inventory the in single- or double-digit figures, though it's expected to improve in February.As is so often the case when a product's demand is expected to far outweigh its supply, people were pitching tents outside stores days ahead of the cards' release. Reddit and the Unofficial Micro Center Discord channel show that the lines started appearing outside of Micro Center's Tustin, California, location yesterday, despite the RTX 5090/5080 not arriving until January 30.Campers already appearedbyu/Temporary-Director46 inMicrocenterOne of the campers posted on the Reddit thread that they were in the second tent with other people, and that they were buying a card for their own use. "We just don't want to pay for that extra $ for a gaming card and yes we do have some times on our hands because we run a business. Good luck to everyone who are trying to get one."While there will be plenty of genuine gamers braving the elements to secure a 5000-series card at launch, it's likely that at least some of those in line will be scalpers.It should come as little surprise to see eBay populated with listings for both the RTX 5090 and RTX 5080. These are described as pre-sale reservations for the cards, with the most expensive 5090 (MSRP $2,000) listed for $6,100 and the 5080 ($999 MSRP) at $2,200.Micro Center says it will use a voucher system on launch day. These will be distributed to customers on a first-come, first-serve basis shortly before the store opens. A voucher guarantees the ability to purchase a GPU only one card can be purchased per customer but does not guarantee a specific model or manufacturer. The company warns that lines are likely. It also says it discourages camping outside its stores, though obviously doesn't disallow the practice.The image brings back memories of similar scenes, particularly during the height of Covid. There was chaos in June 2021 when a Micro Center store in Dallas restocked RTX 3000 cards that had become almost impossible to buy during the chip crisis. The same thing happened during the RTX 3070 launch in 2020. // Related StoriesOur review of the RTX 5090 shows that it is 25% more expensive than the RTX 4090 while delivering an average of 27% more performance.