• WWW.TECHNOLOGYREVIEW.COM
    Generative AI is learning to spy for the US military
    For much of last year, about 2,500 US service members from the 15th Marine Expeditionary Unit sailed aboard three ships throughout the Pacific, conducting training exercises in the waters off South Korea, the Philippines, India, and Indonesia. At the same time, onboard the ships, an experiment was unfolding: The Marines in the unit responsible for sorting through foreign intelligence and making their superiors aware of possible local threats were for the first time using generative AI to do it, testing a leading AI tool the Pentagon has been funding. Two officers tell us that they used the new system to help scour thousands of pieces of open-source intelligence—nonclassified articles, reports, images, videos—collected in the various countries where they operated, and that it did so far faster than was possible with the old method of analyzing them manually. Captain Kristin Enzenauer, for instance, says she used large language models to translate and summarize foreign news sources, while Captain Will Lowdon used AI to help write the daily and weekly intelligence reports he provided to his commanders.  “We still need to validate the sources,” says Lowdon. But the unit’s commanders encouraged the use of large language models, he says, “because they provide a lot more efficiency during a dynamic situation.” The generative AI tools they used were built by the defense-tech company Vannevar Labs, which in November was granted a production contract worth up to $99 million by the Pentagon’s startup-oriented Defense Innovation Unit with the goal of bringing its intelligence tech to more military units. The company, founded in 2019 by veterans of the CIA and US intelligence community, joins the likes of Palantir, Anduril, and Scale AI as a major beneficiary of the US military’s embrace of artificial intelligence—not only for physical technologies like drones and autonomous vehicles but also for software that is revolutionizing how the Pentagon collects, manages, and interprets data for warfare and surveillance.  Though the US military has been developing computer vision models and similar AI tools, like those used in Project Maven, since 2017, the use of generative AI—tools that can engage in human-like conversation like those built by Vannevar Labs—represent a newer frontier. The company applies existing large language models, including some from OpenAI and Microsoft, and some bespoke ones of its own to troves of open-source intelligence the company has been collecting since 2021. The scale at which this data is collected is hard to comprehend (and a large part of what sets Vannevar’s products apart): terabytes of data in 80 different languages are hoovered every day in 180 countries. The company says it is able to analyze social media profiles and breach firewalls in countries like China to get hard-to-access information; it also uses nonclassified data that is difficult to get online (gathered by human operatives on the ground), as well as reports from physical sensors that covertly monitor radio waves to detect illegal shipping activities.  Vannevar then builds AI models to translate information, detect threats, and analyze political sentiment, with the results delivered through a chatbot interface that’s not unlike ChatGPT. The aim is to provide customers with critical information on topics as varied as international fentanyl supply chains and China’s efforts to secure rare earth minerals in the Philippines.  “Our real focus as a company,” says Scott Philips, Vannevar Labs’ chief technology officer, is to “collect data, make sense of that data, and help the US make good decisions.”  That approach is particularly appealing to the US intelligence apparatus because for years the world has been awash in more data than human analysts can possibly interpret—a problem that contributed to the 2003 founding of Palantir, a company now worth nearly $217 billion and known for its powerful and controversial tools, including a database that helps Immigration and Customs Enforcement search for and track information on undocumented immigrants.  In 2019, Vannevar saw an opportunity to use large language models, which were then new on the scene, as a novel solution to the data conundrum. The technology could enable AI not just to collect data but to actually talk through an analysis with someone interactively. Vannevar’s tools proved useful for the deployment in the Pacific, and Enzenauer and Lowdon say that while they were instructed to always double-check the AI’s work, they didn’t find inaccuracies to be a significant issue. Enzenauer regularly used the tool to track any foreign news reports in which the unit’s exercises were mentioned and to perform sentiment analysis, detecting the emotions and opinions expressed in text. Judging whether a foreign news article reflects a threatening or friendly opinion toward the unit is a task that on previous deployments she had to do manually. “It was mostly by hand—researching, translating, coding, and analyzing the data,” she says. “It was definitely way more time-consuming than it was when using the AI.”  Still, Enzenauer and Lowdon say there were hiccups, some of which would affect most digital tools: The ships had spotty internet connections much of the time, limiting how quickly the AI model could synthesize foreign intelligence, especially if it involved photos or video.  With this first test completed, the unit’s commanding officer, Colonel Sean Dynan, said on a call with reporters in February that heavier use of generative AI was coming; this experiment was “the tip of the iceberg.”  This is indeed the direction that the entire US military is barreling toward at full speed. In December, the Pentagon said it will spend $100 million in the next two years on pilots specifically for generative AI applications. In addition to Vannevar, it’s also turning to Microsoft and Palantir, which are working together on AI models that would make use of classified data. (The US is of course not alone in this approach; notably, Israel has been using AI to sort through information and even generate lists of targets in its war in Gaza, a practice that has been widely criticized.) Perhaps unsurprisingly, plenty of people outside the Pentagon are warning about the potential risks of this plan, including Heidy Khlaaf, who is chief AI scientist at the AI Now Institute, a research organization, and has expertise in leading safety audits for AI-powered systems. She says this rush to incorporate generative AI into military decision-making ignores more foundational flaws of the technology: “We’re already aware of how LLMs are highly inaccurate, especially in the context of safety-critical applications that require precision.”  One particular use case that concerns her is sentiment analysis, which she argues is “a highly subjective metric that even humans would struggle to appropriately assess based on media alone.”  If AI perceives hostility toward US forces where a human analyst would not—or if the system misses hostility that is really there—the military could make an misinformed decision or escalate a situation unnecessarily. Sentiment analysis is indeed a task that AI has not perfected. Philips, the Vannevar CTO, says the company has built models specifically to judge whether an article is pro-US or not, but MIT Technology Review was not able to evaluate them.  Chris Mouton, a senior engineer for RAND, recently tested how well-suited generative AI is for the task. He evaluated leading models, including OpenAI’s GPT-4 and an older version of GPT fine-tuned to do such intelligence work, on how accurately they flagged foreign content as propaganda compared with human experts. “It’s hard,” he says, noting that AI struggled to identify more subtle types of propaganda. But he adds that the models could still be useful in lots of other analysis tasks.  Another limitation of Vannevar’s approach, Khlaaf says, is that the usefulness of open-source intelligence is debatable. Mouton says that open-source data can be “pretty extraordinary,” but Khlaaf points out that unlike classified intel gathered through reconnaissance or wiretaps, it is exposed to the open internet—making it far more susceptible to misinformation campaigns, bot networks, and deliberate manipulation, as the US Army has warned. For Mouton, the biggest open question now is whether these generative AI technologies will be simply one investigatory tool among many that analysts use—or whether they’ll produce the subjective analysis that’s relied upon and trusted in decision-making. “This is the central debate,” he says.  What everyone agrees is that AI models are accessible—you can just ask them a question about complex pieces of intelligence, and they’ll respond in plain language. But it’s still in dispute what imperfections will be acceptable in the name of efficiency. 
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  • APPLEINSIDER.COM
    This M4 iPad Pro is $200 off at Amazon, but supply is limited
    Apple's latest M4 iPad Pro 13-inch is $200 off at Amazon, but limited supply remains at the reduced price.Save $200 on Apple's M4 iPad Pro 13-inch.You can grab the $200 markdown on the 2TB 13-inch iPad Pro with an M4 chip in Space Black. This high-capacity Wi-Fi spec has an ample 2TB of storage, but the base model and even Wi-Fi + Cellular models are eligible for discounts as well in our 13-inch iPad Pro M4 Price Guide.Save $200 at Amazon Continue Reading on AppleInsider | Discuss on our Forums
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  • ARCHINECT.COM
    BIG's crowning CityWave project tops out in Milan
    The two-tower CityWave scheme from BIG has topped out near central Milan, completing the final two pieces of a larger district-sized CityLife puzzle that features designs from Daniel Libeskind, Zaha Hadid Architects, and Arata Isozaki.  BIG’s contribution—designed with the local practice Atelier Verticale—is capped with a 460-foot-long roof clad in photovoltaic tiles equaling 118,000 total square feet. That design feature is one of the largest in the world. Others include shaded loggias culminating in a 20th-floor roof bar and a steel colonnade-framed, timber canopy-shaded open space connecting the development to the city. BIG experts the public opening sometime in 2026. Image courtesy Alberto FanelliImage courtesy Alberto FanelliImage courtesy Alberto FanelliImage courtesy Bjarke Ingels Group (BIG)
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  • GAMINGBOLT.COM
    Indiana Jones and the Great Circle PS5 – Everything You Need to Know
    Microsoft’s biggest exclusive of 2024 is rapidly approaching PlayStation shores. On April 17th PS5 players get to experience what many are calling the best Indiana Jones experience in decades. With its blend of exploration and finely honed cinematic direction, Indiana Jones and the Great Circle has a lot to offer the PS5 crowd. Here are some key takeaways regarding the PS5 version of Indiana Jones and the Great Circle worth knowing before a purchase. Additional Updates and Fixes The PS5 version brings some cool new features which will be available to all platforms. Most notably, whips get two new abilities: ‘Open Season’ and ‘Sleight of Hand’. Open Season causes a kind of debuff which renders foes more susceptible to attacks, while Sleight of Hand conveniently disarms opponents, flinging their weapon right to Indy. And since the game’s December release, there’s been three updates fixing up a long list of bugs and issues, ensuring a glitch-free experience for first-time PS5 players. DualSense Functionality One of the things that differentiates the PS5 from other consoles is the tactile feel of its DualSense controller. This is something Machine Games is making sure to harness with its upcoming port. Not much has been said regarding specifics, but the PlayStation Store page does indeed highlight that DualSense vibration effect and trigger function are supported. Going off of other games with DualSense support, we can expect haptic feedback that changes with terrain as well as dynamic resistance levels with the triggers when  shooting different guns and priming a well-aimed grenade. PS5 Pro Enhancements You’re especially happy if you’re an Indy fan with a PS5 Pro since some the great visual updates exclusive to high-end PCs will translate the advanced Sony console. While Bethesda has been rather hush-hush concerning specific PS5 Pro enhancements, we know via the PS Store that this Indy adventure has the ‘enhanced for PS5 Pro’ label and will most likely harness things like PlayStation Spectral Super Resolution (PSSR), advanced ray tracing, and (fingers crossed) a 120 FPS option. PS5 Editions There are three editions for Indiana Jones and the Great Circle on PS5. The standard edition comes in at the standardized $69.99 price and only includes the game. The $99.99 Premium Edition includes access to the future story DLC titled ‘The Order of Giants’ as well as a new Temple of Doom outfit and a digital artbook. The modern trend of including early access play in higher tiered editions continues here as Indy’s foray onto the PS5 allows access for premium edition buyers. But that’s not the cream of the edition crop. There’s also an expensive $189.99 Collector’s Bundle giving players a bevy of physical goodies. This bundle includes an 11 inch globe that hides a secretive storage compartment, in addition to a leather-bound adventure journal, and the all Premium Edition content. Pre-order Bonuses Regardless of edition, any PS5 version pre-order includes a new Traveling Suit outfit for Indy to wear and a whip. These two items are purely cosmetic and it’s unlikely they’ll become available through the store at a later date for those who didn’t pre-order. Release Date and Early Access Times And there’s not much time left to secure a pre-order since the game releases April 17th which falls on a Thursday. Early access begins two days before the official release date, so Premium Edition players can look forward to playing it on April 15th. Is a Microsoft Account Needed to Play? While it’s not confirmed whether or not PS5 users will need a Microsoft account to play Indy and the Great Circle, previous Xbox exclusive games as well as the upcoming Forza Horizon 5 indicate that it’s likely. That said, some of Microsoft’s single-player offerings didn’t require a Microsoft account sign-in (neither Hi-Fi Rush nor Pentiment required it), so we’ll have to wait and see if this particular single-player adventure does. Disc Versions Require Internet Download Unfortunately, we do have confirmations that disc versions of the game require an internet download in order to play the game. Bethesda’s images of the highest-priced Collector Bundle states in the fine print that a disc is still included, but “internet connection is required to download game and content”. Voice Talent As for the game itself, there’s quite a lot to love. Any Indiana Jones project has to have top-tier voice talent in order to succeed, and this game nails that aspect. Troy Baker surprisingly sold us on his Indy voice. It’s charming and personalized, yet still has that Harrison Ford identity. Indy’s partner in uncovering the Great Circle mystery happens to be a woman named Gina Lambardi, who is excellently portrayed by actress Alessandra Mastronardi. The main villain is my pick for best performance though. Emmerich Voss is the perfect Indiana Jones villain and actor Marios Gavrilis captures his creepy and deranged personality too well. Exploration One distinction this game has to other’s in the genre is the first-person perspective. This heightened immersion allows for more intricate exploration and problem solving. Indy uses a camera and journal to jot down hints and notes as he explores the game’s diverse environments. The diegetic UI with Indy looking at his journal maps and whatnot really add to the immersion of stepping into his shoes as an explorer. And the game is teeming with collectibles around well-hidden nooks and crannies, giving players a compelling reason to go off the beaten path. Wide Environments This emphasis on exploration is owed in large part to the game’s wide environments. Exploration is satisfying because there’s just a lot of open space to wander around through. That said, this is still a fairly linear adventure, at least in story terms. Plenty of set piece moments and cinematics dot the game’s progression, but its accompanied by a wealth of slower paced exploration in wide areas. Stealth The game’s more methodical pace exemplifies itself perhaps most of all in its stealth. A large portion of combat strategy revolves around sneaking up to enemies for a silent knock-out. Routing past patrols and sneaking around guarded zones is a big part of this Indy adventure and it’s done really well thanks to excellent level design and smooth controls. Combat But there is visceral combat in this game too, though it’s not your traditional Machine Games high-paced shooter. Instead, combat in The Great Circle revolves around found melee weapons, Indy’s whip, and a limited amount of small firearms. The famous whip is used to great effect here, being employed to stun and disarm foes. Oodles of Melee Weapons Since ammo is so scarce throughout the game, you’re often relegated to picking up random melee weapons through the environment. There’s a lot of wacky objects used for melee here: oversized flyswatters, pipes, pots and pans, and much more. But there’s one trusty melee weapon you always have access to: your fists. The game has a big emphasis on brawling, and while it can be somewhat sloppy, there’s something satisfying about KO’ing Nazis in the face. Game Length It’s good that the game has such variety in its gameplay because it has an average run time of around 25 hours. Howlongtobeat has an average completionist playthrough sitting around 38 hours and a rushed story run taking 15. This makes Indiana Jones and the Great Circle one of Machine Games’ most lengthy titles, giving PS5 players with an Indiana Jones craving plenty to dig into and explore.
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  • WWW.CGCHANNEL.COM
    Foundry unveils new ICVFX and virtual production tool Nuke Stage
    html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN" "http://www.w3.org/TR/REC-html40/loose.dtd" Foundry has unveiled Nuke Stage, a new application for virtual production and in-camera visual effects (ICVFX).The software, currently available in invite-only early access, is designed for real-time playback of photorealistic environments onto LED walls, with support for live layout and compositing. Workflow is USD-based, and does not require Nuke, Foundry’s compositing software, but Foundry describes it as “familiar and friendly” to Nuke artists. Below, we’ve put together our FAQs about the new product. What is Nuke Stage, and why is Foundry developing it? Foundry is the latest developer of offline VFX tools to enter the virtual production market, Chaos having launched Chaos Arena, its real-time rendering solution for LED walls, last month.Both new products are attempting to carve out a space in a sector in which Epic Games has done a lot of the early running through Unreal Engine, its game engine and real-time renderer, which now has a dedicated ICVFX toolset. As with Chaos Arena, part of Foundry’s pitch to studios and film-makers is greater continuity with existing offline visual effects workflows. The firm describes Nuke Stage as “reducing the risk of costly rework” of content, such as when offline assets have to be converted for use in a game engine, or vice versa. Nuke Stage’s node graph lets users manipulate USD scenes in real time. What is workflow in Nuke Stage like? Nuke Stage is designed for creating detailed background environments that can be projected onto LED walls behind actors during principal photography, as 2D, 2.5D or 3D imagery.The core workflow is OpenUSD-based, with users able to load USD scenes created in other DCC applications that support USD into the Nuke Stage Editor. It is then possible to edit the scene in real time, adding 3D meshes, or using the Nuke Stage Editor’s node graph to add images or effects to cameras, displays and USD primitives. The scene can then be played out to the LED wall as B44-compressed EXR files: a format that Foundry describes as “real-time-suitable” and “VFX-friendly”. To ensure continuity of color management between principal photography and post-production, the software supports the OpenColorIO standard. https://www.cgchannel.com/wp-content/uploads/2025/04/250411_NukeStage_testimonials.mp4 Nuke Stage can be used independently of Nuke, but the familiarity of its workflow to Nuke artists is cited in this video of testimonials from ICVFX and virtual production supervisors. Does Nuke Stage have to be used with Nuke? Despite the name, Nuke Stage is a “purpose-built” application based on a “new technology stack”, and does not require Nuke, Foundry’s family of compositing and editorial tools.However, Foundry clearly hopes to attract existing Nuke users: the UI and workflow of Nuke Stage are described as “familiar and friendly” to Nuke artists. And while it can use USD scenes created in any application, the online documentation describes “advantages in using Nuke with Nuke Stage to prepare assets”. Both applications have a Hydra 3D viewport, “ensur[ing] that the scene you’re seeing in Nuke is exactly what you will see in Nuke Stage”. Nuke Stage runs on set on standard workstations and render hardware. What hardware does Nuke Stage need? Nuke Stage is hardware-agnostic, in the sense that it runs on “commodity hardware”, and does not require a specialist media server, but it is designed for NVIDIA GPUs.It uses a render node architecture, with a control machine running the Nuke Stage Editor, and a series of render nodes rendering its output to different sections of the LED wall. Each render node needs a NVIDIA Quadro Sync II card to synchronize their output, and a compatible GPU: all current- and recent-gen NVIDIA professional cards – the documentation namechecks the RTX A6000. The architecture of a Nuke Stage production set-up. A license is required for each render node. How much does Nuke Stage cost? Nuke Stage is priced on enquiry, and scales “based on rendering requirements and project demands”: it requires a license for each render node used.All of Foundry’s other products are now available subscription-only. Release date and system requirements Nuke Stage is currently in invite-only early access. Foundry hasn’t announced a wider release date. You can register your interest by filling in this online form.The current version, Nuke Stage 0.9, is available for Windows 10+ only. You can see the hardware requirements in the online documentation. Read an overview of Nuke Stage on Foundry’s website Read more about how Nuke Stage works in the online documentation Have your say on this story by following CG Channel on Facebook, Instagram and X (formerly Twitter). As well as being able to comment on stories, followers of our social media accounts can see videos we don’t post on the site itself, including making-ofs for the latest VFX movies, animations, games cinematics and motion graphics projects.
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  • WWW.GAMESINDUSTRY.BIZ
    Video game M&A rises to $6.6 billion in Q1 2025, driven by mobile acquisitions
    Video game M&A rises to $6.6 billion in Q1 2025, driven by mobile acquisitions Scopely's acquisition of Niantic's games business was partly behind the spike News by Samuel Roberts Editorial Director Published on April 11, 2025 Games industry mergers and acquisitions in Q1 of 2025 rose to $6.6 billion, their highest level in over a year, driven by activity in the mobile sector. That big number was partly down to Scopely's $3.5 billion acquisition of Niantic's games business, including the likes of Pokémon GO. That's according to a newsletter by gaming-focused investment bank Aream, made in partnership with InvestGame. This previous quarter was the highest for mergers and acquisitions since Q4 of 2023, when Microsoft completed its purchase of Activision Blizzard. It's worth noting that the report delineates between completed mergers and acquisitions and those that have been announced. Here's a graph documenting recent M&A trends from the report: Image credit: Aream Other key deals made in that timeframe include Miniclip's $1.2 billion purchase of Easybrain, and AppLovin divesting its mobile gaming arm for $900 million as it focuses its business on mobile advertising. The Q1 numbers also include Take-Two's $460 million acquisition of Borderlands developer Gearbox Entertainment. The report points out that overall activity exceeds pre-pandemic levels. This most recent wave of deals is motivated by "strategics taking a more active role in reshaping their portfolios" and a "select group of private consolidators pursuing acquisitions and growing private-equity interest in the space." Elsewhere, the report points out that private financing remains challenging in games, "particularly in late stage rounds", with this quarter the lowest in years: Image credit: Aream There's a similar trend curve for early-stage private investment, particularly Series A funding. The full newsletter has more insights on the state of the industry at large.
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  • WWW.THEVERGE.COM
    ChatGPT will now remember your old conversations
    OpenAI is giving ChatGPT a memory upgrade that allows it to recall old conversations that you didn’t ask it to save. OpenAI CEO Sam Altman said on X that the chatbot can “now reference all your past conversations,” and that the update aligns with the company’s goal to develop “AI systems that get to know you over your life.” This builds on the “Memory” feature that was added to ChatGPT last year, which allowed limited information like queries, prompts, and customizations to be retained and used for future responses. With the long-term memory update, ChatGPT will now recall information in two ways — using the “saved memories” that users have manually asked it to remember, and “reference chat history,” which are “insights ChatGPT gathers from past chats to improve future ones,” according to OpenAI. The update will be available everywhere except in the EU, UK, Switzerland, Norway, Iceland, and Liechtenstein, likely due to these regions having tight AI regulations that Altman has objected to in the past. It’s currently being rolled out to users paying for ChatGPT’s $200 monthly Pro subscription and will be available “soon” for $20 Plus subscribers, according to Altman. OpenAI also says it will be available to Team, Enterprise, and Edu users “in a few weeks,” but there’s no word on when — or if — it will roll out to free users. Memory is an optional feature for ChatGPT. Users who don’t want the chatbot to save any conversations can toggle off saved memories under the ChatGPT personalization settings, or use the temporary chat function to ask it inquiries that won’t use or affect memory. ChatGPT’s memory upgrade follows a similar update that Google made to Gemini AI in February that allows it to recall older conversations to provide more personalized or relevant responses.
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  • THEHACKERNEWS.COM
    Palo Alto Networks Warns of Brute-Force Attempts Targeting PAN-OS GlobalProtect Gateways
    Apr 11, 2025Ravie LakshmananVulnerability / Network Security Palo Alto Networks has revealed that it's observing brute-force login attempts against PAN-OS GlobalProtect gateways, days after threat actors warned of a surge in suspicious login scanning activity targeting its appliances. "Our teams are observing evidence of activity consistent with password-related attacks, such as brute-force login attempts, which does not indicate exploitation of a vulnerability," a spokesperson for the company told The Hacker News. "We continue to actively monitor this situation and analyze the reported activity to determine its potential impact and identify if mitigations are necessary." The development comes after threat intelligence firm GreyNoise alerted of a spike in suspicious login scanning activity aimed at PAN-OS GlobalProtect portals. The company further noted that the activity commenced on March 17, 2025, hitting a peak of 23,958 unique IP addresses before dropping off towards the end of last month. The pattern indicates a coordinated effort to probe network defenses and identify exposed or vulnerable systems. The login scanning activity has primarily singled out systems in the United States, the United Kingdom, Ireland, Russia, and Singapore. It's currently not known how widespread these efforts are and if they are the work of any specific threat actor at this stage. The Hacker News has reached out to Palo Alto Networks for additional comments, and we will update the story if we hear back. In the interim, all customers are encouraged to ensure that they are running the latest versions of PAN-OS. Other mitigations include enforcing multi-factor authentication (MFA), configuring GlobalProtect to facilitate MFA notifications, setting up security policies to detect and block brute-force attacks, and limiting unnecessary exposure to the internet. Found this article interesting? Follow us on Twitter  and LinkedIn to read more exclusive content we post. SHARE    
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  • WEWORKREMOTELY.COM
    BaxEnergy: Technical Writer
    Technical WriterWe need a Technical Writer, amazing at creating clear, concise and user-friendly documentation. Help us support our clients, developers and personnel through documentation that provides technical information, processes, system features in the form of user-guides, technical integration guides and online help content for the platforms and solutions that we provide.What You Will DoWrite and maintain Knowledge Based articles targeted at customers and internal users for our newest flagship product Farsight®.Help us build and lead the technical writing and support functions for this new productProvide online support through Intercom or similar as neededHelp us onboard our existing technical support team towards the new processes and productAbout YouSmart and gets things doneExcellent technical writing and communication skills in EnglishProfessional knowledge of French, German, Italian, Japanese or Spanish is a plusYou have 5+ years experience as a technical writer or as support leaderYou have a strong understanding of software development and support processesProfessional knowledge or prior involvement in renewable energy is a plusYou have a 4-hour overlap with CET/CEST time zones as our teams are globally distributedYou can travel to Italy within three months of hiring so we can get to know youWhy Join UsWe are a remote-first company and this is a fully remote positionWe build amazing teams with brilliant, happy, and motivated developersWe do not waste your time! All interviews are conducted in a single dayEarn Euro-level salaries with over 30 days of vacation, sick pay, and other benefitsThe role is a permanent full-time position. We invest in people and understand great things happen if we doBe part of our amazing company trajectory over the next five yearsTravel to Sicily, Italy once a year for a fully paid company retreatApply NowLet's start your dream job Apply now Automatically Apply to Remote Product JobsLet your copilot automatically search and apply to remote jobs from We Work Remotely
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  • WWW.TECHNOLOGYREVIEW.COM
    Love or immortality: A short story
    1. Sophie and Martin are at the 2012 Gordon Research Conference on the Biology of Aging in Ventura, California. It is a foggy February weekend. Both are disappointed about how little sun there is on the California beach. They are two graduate students—Sophie in her sixth and final year, Martin in his fourth—who have traveled from different East Coast cities to present posters on their work. Martin’s shows health data collected from supercentenarians compared with the general Medicare population, capturing the diseases that are less and more common in the populations. Sophie is presenting on her recently accepted first-author paper in Aging Cell on two specific genes that, when activated, extend lifespan in C. elegans roundworms, the model organism of her research.  2. Sophie walks by Martin’s poster after she is done presenting her own. She is not immediately impressed by his work. It is not published, for one thing. But she sees how it is attention-grabbing and relevant, even necessary. He has a little crowd listening to him. He notices her—a frowning girl—standing in the back and begins to talk louder, hoping she hears. “Supercentenarians are much less likely to have seven diseases,” he says, pointing to his poster. “Alzheimer’s, heart failure, diabetes, depression, prostate cancer, hip fracture, and chronic kidney disease. Though they have higher instances of four diseases, which are arthritis, cataracts, osteoporosis, and glaucoma. These aren’t linked to mortality, but they do affect quality of life.” What stands out to Sophie is the confidence in Martin’s voice, despite the unsurprising nature of the findings. She admires that sound, its sturdiness. She makes note of his name and plans to seek him out.  3. They find one another in the hotel bar among other graduate students. The students are talking about the logistics of their futures: Who is going for a postdoc, who will opt for industry, do any have job offers already, where will their research have the most impact, is it worth spending years working toward something so uncertain? They stay up too late, dissecting journal articles they’ve read as if they were debating politics. They enjoy the freedom away from their labs and PIs.  Martin says, again with that confidence, that he will become a professor. Sophie says she likely won’t go down that path. She has received an offer to start as a scientist at an aging research startup called Abyssinian Bio, after she defends. Martin says, “Wouldn’t your work make more sense in an academic setting, where you have more freedom and power over what you do?” She says, “But that could be years from now and I want to start my real life, so …”  4-18. Martin is enamored with Sophie. She is not only brilliant; she is helpful. She strengthens his papers with precise edits and grounds his arguments with stronger evidence. Sophie is enamored with Martin. He is not only ambitious; he is supportive and adventurous. He encourages her to try new activities and tools, both in and out of work, like learning to ride a motorcycle or using CRISPR. Martin visits Sophie in San Francisco whenever he can, which amounts to a weekend or two every other month. After two years, their long-distance relationship is taking its toll. They want more weekends, more months, more everything together. They make plans for him to get a postdoc near her, but after multiple rejections from the labs where he most wants to work, his resentment toward academia grows.  “They don’t see the value of my work,” he says. 19. “Join Abyssinian,” Sophie offers. The company is growing. They want more researchers with data science backgrounds. He takes the job, drawn more by their future together than by the science. 20-35. For a long time, they are happy. They marry. They do their research. They travel. Sophie visits Martin’s extended family in France. Martin goes with Sophie to her cousin’s wedding in Taipei. They get a dog. The dog dies. They are both devastated but increasingly motivated to better understand the mechanisms of aging. Maybe their next dog will have the opportunity to live longer. They do not get a next dog. Sophie moves up at Abyssinian. Despite being in industry, her work is published in well-respected journals. She collaborates well with her colleagues. Eventually, she is promoted to executive director of research.  Martin stalls at the rank of principal scientist, and though Sophie is technically his boss—or his boss’s boss—he genuinely doesn’t mind when others call him “Dr. Sophie Xie’s husband.” 40. At dinner on his 35th birthday, a friend jokes that Martin is now middle-aged. Sophie laughs and agrees, though she is older than Martin. Martin joins in the laughter, but this small comment unlocks a sense of urgency inside him. What once felt hypothetical—his own death, the death of his wife—now appears very close. He can feel his wrinkles forming.   First come the subtle shifts in how he talks about his research and Abyssinian’s work. He wants to “defeat” and “obliterate” aging, which he comes to describe as humankind’s “greatest adversary.”  43. He begins taking supplements touted by tech influencers. He goes on a calorie-restricted diet. He gets weekly vitamin IV sessions. He looks into blood transfusions from young donors, but Sophie tells him to stop with all the fake science. She says he’s being ridiculous, that what he’s doing could be dangerous.   Martin, for the first time, sees Sophie differently. Not without love, but love burdened by an opposing weight, what others might recognize as resentment. Sophie is dedicated to the demands of her growing department. Martin thinks she is not taking the task of living longer seriously enough. He does not want her to die. He does not want to die.  Nobody at Abyssinian is taking the task of living longer seriously enough. Of all the aging bio startups he could have ended up at, how has he ended up at one with such modest—no, lazy—goals? He begins publicly dismissing basic research as “too slow” and “too limited,” which offends many of his and Sophie’s colleagues.  Sophie defends him, says he is still doing good work, despite the evidence. She is busy, traveling often for conferences, and mistakenly misclassifies the changes in Martin’s attitude as temporary outliers. 44. One day, during a meeting, Martin says to Jerry, a well-­respected scientist at Abyssinian and in the electron microscopy imaging community at large, that EM is an outdated, old, crusty technology. Martin says it is stupid to use it when there are more advanced, cutting-edge methods, like cryo-EM and super-resolution microscopy. Martin has always been outspoken, but this instance veers into rudeness.  At home, Martin and Sophie argue. Initially, they argue about whether tools of the past can be useful to their work. Then the argument morphs. What is the true purpose of their research? Martin says it’s called anti-aging research for a reason: It’s to defy aging! Sophie says she’s never called her work anti-aging research; she calls it aging research or research into the biology of aging. And Abyssinian’s overarching mission is more simply to find druggable targets for chronic and age-related diseases. Occasionally, the company’s marketing arm will push out messaging about extending the human lifespan by 20 years, but that has nothing to do with scientists like them in R&D. Martin seethes. Only 20 years! What about hundreds? Thousands?  45-49. They continue to argue and the arguments are roundabout, typically ending with Sophie crying, absconding to her sister’s house, and the two of them not speaking for short periods of time. 50. What hurts Sophie most is Martin’s persistent dismissal of death as merely an engineering problem to be solved. Sophie thinks of the ways the C. elegans she observes regulate their lifespans in response to environmental stress. The complex dance of genes and proteins that orchestrates their aging process. In the previous month’s experiment, a seemingly simple mutation produced unexpected effects across three generations of worms. Nature’s complexity still humbles her daily. There is still so much unknown.  Martin is at the kitchen counter, methodically crushing his evening supplements into powder. “I’m trying to save humanity. And all you want to do is sit in the lab to watch worms die.” 50. Martin blames the past. He realizes he should have tried harder to become a professor. Let Sophie make the industry money—he could have had academic clout. Professor Warwick. It would have had a nice sound to it. To his dismay, everyone in his lab calls him Martin. Abyssinian has a first-name policy. Something about flat hierarchies making for better collaboration. Good ideas could come from anyone, even a lowly, unintelligent senior associate scientist in Martin’s lab who barely understands how to process a data set. A great idea could come from anyone at all—except him, apparently. Sophie has made that clear. 51-59. They live in a tenuous peace for some time, perfecting the art of careful scheduling: separate coffee times, meetings avoided, short conversations that stick to the day-to-day facts of their lives. 60. Then Martin stands up to interrupt a presentation by the VP of research to announce that studying natural aging is pointless since they will soon eliminate it entirely. While Jerry may have shrugged off Martin’s aggressiveness, the VP does not. This leads to a blowout fight between Martin and many of his colleagues, in which Martin refuses to apologize and calls them all shortsighted idiots.  Sophie watches with a mixture of fear and awe. Martin thinks: Can’t she, my wife, just side with me this once?  61. Back at home: Martin at the kitchen counter, methodically crushing his evening supplements into powder. “I’m trying to save humanity.” He taps the powder into his protein shake with the precision of a scientist measuring reagents. “And all you want to do is sit in the lab to watch worms die.” Sophie observes his familiar movements, now foreign in their desperation. The kitchen light catches the silver spreading at his temples and on his chin—the very evidence of aging he is trying so hard to erase. “That’s not true,” she says. Martin gulps down his shake. “What about us? What about children?” Martin coughs, then laughs, a sound that makes Sophie flinch. “Why would we have children now? You certainly don’t have the time. But if we solve aging, which I believe we can, we’d have all the time in the world.” “We used to talk about starting a family.” “Any children we have should be born into a world where we already know they never have to die.” “We could both make the time. I want to grow old together—” All Martin hears are promises that lead to nothing, nowhere.   “You want us to deteriorate? To watch each other decay?” “I want a real life.” “So you’re choosing death. You’re choosing limitation. Mediocrity.” 64. Martin doesn’t hear from his wife for four days, despite texting her 16 times—12 too many, by his count. He finally breaks down enough to call her in the evening, after a couple of glasses of aged whisky (a gift from a former colleague, which Martin has rarely touched and kept hidden in the far back of a desk drawer).  Voicemail. And after this morning’s text, still no glimmering ellipsis bubble to indicate Sophie’s typing.  66. Forget her, he thinks, leaning back in his Steelcase chair, adjusted specifically for his long runner’s legs and shorter­-than-average torso. At 39, Martin’s spreadsheets of vitals now show an upward trajectory; proof of his ability to reverse his biological age. Sophie does not appreciate this. He stares out his office window, down at the employees crawling around Abyssinian Bio’s main quad. How small, he thinks. How significantly unaware of the future’s true possibilities. Sophie is like them.  67. Forget her, he thinks again as he turns down a bay toward Robert, one of his struggling postdocs, who is sitting at his bench staring at his laptop. As Martin approaches, Robert minimizes several windows, leaving only his home screen behind. “Where are you at with the NAD+ data?” Martin asks. Robert shifts in his chair to face Martin. The skin of his neck grows red and splotchy. Martin stares at it in disgust. “Well?” he asks again.  “Oh, I was told not to work on that anymore?” The boy has a tendency to speak in the lilt of questions.  “By who?” Martin demands. “Uh, Sophie?”  “I see. Well, I expect new data by end of day.”  “Oh, but—” Martin narrows his eyes. The red splotches on Robert’s neck grow larger.  “Um, okay,” the boy says, returning his focus to the computer.  Martin decides a response is called for … 70. Immortality Promise I am immortal. This doesn’t make me special. In fact, most people on Earth are immortal. I am 6,000 years old. Now, 6,000 years of existence give one a certain perspective. I remember back when genetic engineering and knowledge about the processes behind aging were still in their infancy. Oh, how people argued and protested. “It’s unethical!” “We’ll kill the Earth if there’s no death!” “Immortal people won’t be motivated to do anything! We’ll become a useless civilization living under our AI overlords!”  I believed back then, and now I know. Their concerns had no ground to stand on. Eternal life isn’t even remarkable anymore, but being among its architects and early believers still garners respect from the world. The elegance of my team’s solution continues to fill me with pride. We didn’t just halt aging; we mastered it. My cellular machinery hums with an efficiency that would make evolution herself jealous. Those early protesters—bless their mortal, no-longer-­beating hearts—never grasped the biological imperative of what we were doing. Nature had already created functionally immortal organisms—the hydra, certain jellyfish species, even some plants. We simply perfected what evolution had sketched out. The supposed ethical concerns melted away once people understood that we weren’t defying nature. We were fulfilling its potential. Today, those who did not want to be immortal aren’t around. Simple as that. Those who are here do care about the planet more than ever! There are almost no diseases, and we’re all very productive people. Young adults—or should I say young-looking adults—are naturally restless and energetic. And with all this life, you have the added benefit of not wasting your time on a career you might hate! You get to try different things and find out what you’re really good at and where you’re appreciated! Life is not short! Resources are plentiful! Of course, biological immortality doesn’t equal invincibility. People still die. Just not very often. My colleagues in materials science developed our modern protective exoskeletons. They’re elegant solutions, though I prefer to rely on my enhanced reflexes and reinforced skeletal structure most days.  The population concerns proved mathematically unfounded. Stable reproduction rates emerged naturally once people realized they had unlimited time to start families. I’ve had four sets of children across 6,000 years, each born when I felt truly ready to pass on another iteration of my accumulated knowledge. With more life, people have much more patience.  Now we are on to bigger and more ambitious projects. We conquered survival of individuals. The next step: survival of our species in this universe. The sun’s eventual death poses an interesting challenge, but nothing we can’t handle. We have colonized five planets and two moons in our solar system, and we will colonize more. Humanity will adapt to whatever environment we encounter. That’s what we do. My ancient motorcycle remains my favorite indulgence. I love taking it for long cruises on the old Earth roads that remain intact. The neural interface is state-of-the-art, of course. But mostly I keep it because it reminds me of earlier times, when we thought death was inevitable and life was limited to a single planet. The future stretches out before us like an infinity I helped create—yet another masterpiece in the eternal gallery of human evolution. 71. Martin feels better after writing it out. He rereads it a couple times, feels even better. Then he has the idea to send his writing to the department administrator. He asks her to create a new tab on his lab page, titled “Immortality Promise,” and to post his piece there. That will get his message across to Sophie and everyone at Abyssinian.  72. Sophie’s boss, Ray, is the first to email her. The subject line: “martn” [sic]. No further words in the body. Ray is known to be short and blunt in all his communications, but his meaning is always clear. They’ve had enough conversations about Martin by then. She is already in the process of slowly shutting down his projects, has been ignoring his texts and calls because of this. Now she has to move even faster.  73. Sophie leaves her office and goes into the lab. As an executive, she is not expected to do experiments, but watching a thousand tiny worms crawl across their agar plates soothes her. Each of the ones she now looks at carries a fluorescent marker she designed to track mitochondrial dynamics during aging. The green glow pulses with their movements, like stars blinking in a microscopic galaxy. She spent years developing this strain of C. elegans, carefully selecting for longevity without sacrificing health. The worms that lived longest weren’t always the healthiest—a truth about aging that seemed to elude Martin. Those worms taught her more about the genuine complexity of aging. Just last week, she observed something unexpected: The mitochondrial networks in her long-lived strains showed subtle patterns of reorganization never documented before. The discovery felt intimate, like being trusted with a secret. “How are things looking?” Jerry appears beside her. “That new strain expressing the dual markers?” Sophie nods, adjusting the focus. “Look at this network pattern. It’s different from anything in the literature.” She shifts aside so Jerry can see. This is what she loves about science: the genuine puzzles, the patient observation, the slow accumulation of knowledge that, while far removed from a specific application, could someday help people age with dignity. “Beautiful,” Jerry murmurs. He straightens. “I heard about Martin’s … post.” Sophie closes her eyes for a moment, the image of the mitochondrial networks still floating in her vision. She’s read Martin’s “Immortality Promise” piece three times, each more painful than the last. Not because of its grandiose claims—those were comically disconnected from reality—but because of what it’s revealed about her husband. The writing pulsed with a frightening certainty, a complete absence of doubt or wonder. Gone was the scientist who once spent many lively evenings debating with her about the evolutionary purpose of aging, who delighted in being proved wrong because it meant learning something new.  74. She sees in his words a man who has abandoned the fundamental principles of science. His piece reads like a religious text or science fiction story, casting himself as the hero. He isn’t pursuing research anymore. He hasn’t been for a long time.  She wonders how and when he arrived there. The change in Martin didn’t take place overnight. It was gradual, almost imperceptible—not unlike watching someone age. It wasn’t easy to notice if you saw the person every day; Sophie feels guilty for not noticing. Then again, she read a new study out a few months ago from Stanford researchers that found people do not age linearly but in spurts—specifically, around 44 and 60. Shifts in the body lead to sudden accelerations of change. If she’s honest with herself, she knew this was happening to Martin, to their relationship. But she chose to ignore it, give other problems precedence. Now it is too late. Maybe if she’d addressed the conditions right before the spike—but how? wasn’t it inevitable?—he would not have gone from scientist to fanatic. 75. “You’re giving the keynote at next month’s Gordon conference,” Jerry reminds her, pulling her back to reality. “Don’t let this overshadow that.” She manages a small smile. Her work has always been methodical, built on careful observation and respect for the fundamental mysteries of biology. The keynote speech represents more than five years of research: countless hours of guiding her teams, of exciting discussions among her peers, of watching worms age and die, of documenting every detail of their cellular changes. It is one of the biggest honors of her career. There is poetry in it, she thinks—in the collisions between discoveries and failures.  76. The knock on her office door comes at 2:45. Linda from HR, right on schedule. Sophie walks with her to conference room B2, two floors below, where Martin’s group resides. Through the glass walls of each lab, they see scientists working at their benches. One adjusts a microscope’s focus. Another pipettes clear liquid into rows of tubes. Three researchers point at data on a screen. Each person is investigating some aspect of aging, one careful experiment at a time. The work will continue, with or without Martin. In the conference room, Sophie opens her laptop and pulls up the folder of evidence. She has been collecting it for months. Martin’s emails to colleagues, complaints from collaborators and direct reports, and finally, his “Immortality Promise” piece. The documentation is thorough, organized chronologically. She has labeled each file with dates and brief descriptions, as she would for any other data. 77. Martin walks in at 3:00. Linda from HR shifts in her chair. Sophie is the one to hand the papers over to Martin; this much she owes him. They contain words like “termination” and “effective immediately.” Martin’s face complicates itself when he looks them over. Sophie hands over a pen and he signs quickly.   He stands, adjusts his shirt cuffs, and walks to the door. He turns back. “I’ll prove you wrong,” he says, looking at Sophie. But what stands out to her is the crack in his voice on the last word.  Sophie watches him leave. She picks up the signed papers and hands them to Linda, and then walks out herself.  Alexandra Chang is the author of Days of Distraction and Tomb Sweeping and is a National Book Foundation 5 under 35 honoree. She lives in Camarillo, California.
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