1047 Games cofounder Ian Proulx took the stage at Summer Game Fest on Friday to promote his new game Splitgate 2 by calling out the current state of online shooters. Eschewing the marketing speak of most of his peers at the glossy showcase, he said he wants Titanfall 3 to come out and called his new game’s surprise battle royale mode “fucking awesome” while wearing a “Make FPS Great Again” hat. Suggested ReadingThe Week In Games: A Star Wars Classic Returns & More New Releases Share SubtitlesOffEnglishview videoSuggested ReadingThe Week In Games: A Star Wars Classic Returns & More New Releases Share SubtitlesOffEnglishSplitgate 2 is a free-to-play arena-style shooter where players deploy portals to mess with physics and the fabric of reality to outwit their opponents. “I grew up playing Halo and I’m tired of playing the same Call of Duty every year and I wish we could have Titanfall 3,” Proulx said on stage alongside host Geoff Keighley. He added that the new battle roayle mode aims to combine the old-school arena shooter sensibility with a mechanic to portal to other worlds. Out today on console and PC after a beta last month, 1047 revealed that the new mode is going live alongside the rest of the game. The subtext of Proulx’s pitch channeling President Trump’s slogan was clear: while EA cancels games and Activision leans into predictable cash-grabs, the underdog team at 1047 is shaking things up with a game by gamers for gamers. Meanwhile, the riff on “Make America Great Again” took place shortly after a clash between Los Angeles residents and law enforcement over ICE raids in the city’s garment district only blocks from where Keighley’s Summer Game Fest Play Days industry event takes place this weekend. Trump has ordered the immigration agency to arrest a record number of people every day for deportation even as ICE detention centers are criticized for overcrowding and lack of food. The original Splitgate launched in early access in 2019 and spiked in popularity. The party didn’t last, however, and by 2022, the studio abandoned the game to work on a new project. Last year it revealed that new project was actually just Splitgate 2. .

Business leaders are weighing in on the Elon Musk and Donald Trump breakup. Kevin Dietsch/Getty Images 2025-06-06T05:49:58Z Save Saved Read in app This story is available exclusively to Business Insider subscribers. Become an Insider and start reading now. Have an account? The friendship between Elon Musk and Donald Trump publicly unravelled on Thursday. It all started when Musk criticized Trump's "Big Beautiful Bill." Here's what business leaders like Mark Cuban and Bill Ackman have to say about the breakup. Amid a dramatic falling out between Donald Trump and his "first buddy," Elon Musk, some of the business world's most influential voices are weighing in.The relationship between the president and his once-close ally imploded on Thursday as they clashed publicly over Trump's "Big Beautiful Bill."Musk, who stepped down from his role at DOGE in May, took to X to criticize the bill, calling it the "Debt Slavery Bill" and the "Big Ugly Spending Bill."In response, Trump fired back at Musk during a White House event. He also defended the bill on Truth Social, while threatening to cancel Musk's government contracts.Musk saw his net worth fall by $34 billion on Thursday, per the Bloomberg Billionaires Index. Tesla shares were also down by more than 14%.Here's what several business leaders have to say about the row.Mark Cuban Mark Cuban appeared to support Elon Musk's suggestion to start a new political party. Richard Rodriguez/Getty Images Amid his feud with Trump, Musk proposed creating a new political party for "the middle" in a poll on X.Mark Cuban appeared to endorse the idea, quoting Musk's post and replying with three check marks. The former "Shark Tank" star previously said he's "not a fan of either party," but would run as a Republican if he wanted to join politics.Bill Ackman Bill Ackman called on Musk and Trump to reconcile. Brian Snyder/Reuters Hedge fund billionaire Bill Ackman voiced his support for both Trump and Musk on X, calling on the two to put aside their differences and "make peace for the benefit of our country."Ackman, who had endorsed Trump for his 2024 presidential bid, wrote: "We are much stronger together than apart." "You're not wrong," Musk responded.Paul Graham Paul Graham also took to X to share his thoughts on the feud. Joe Corrigan/Getty Images for AOL Paul Graham, cofounder of the startup accelerator Y Combinator, also weighed in on the public feud between the president and the Tesla CEO. "A lot of people seem to be treating this as if it were just a beef. But the underlying allegation is a very serious one. If it's true, Trump is surely going to have to resign," he wrote in a post on X.Graham did not specify what allegation he was referring to.Hours before Graham made his post, Musk went on X and accused Trump of withholding information about Jeffrey Epstein."Time to drop the really big bomb: @realDonaldTrump is in the Epstein files. That is the real reason they have not been made public. Have a nice day, DJT!" Musk wrote on X.Graham told Musk in February that he should work with the government "carefully" because it's not "just a company."A representative for Graham did not immediately respond to a request for comment from Business Insider.

Last year, China saw a boom in foundation models, the do-everything large language models that underpin the AI revolution. This year, the focus has shifted to AI agents—systems that are less about responding to users’ queries and more about autonomously accomplishing things for them.  There are now a host of Chinese startups building these general-purpose digital tools, which can answer emails, browse the internet to plan vacations, and even design an interactive website. Many of these have emerged in just the last two months, following in the footsteps of Manus—a general AI agent that sparked weeks of social media frenzy for invite codes after its limited-release launch in early March.  These emerging AI agents aren’t large language models themselves. Instead, they’re built on top of them, using a workflow-based structure designed to get things done. A lot of these systems also introduce a different way of interacting with AI. Rather than just chatting back and forth with users, they are optimized for managing and executing multistep tasks—booking flights, managing schedules, conducting research—by using external tools and remembering instructions.  China could take the lead on building these kinds of agents. The country’s tightly integrated app ecosystems, rapid product cycles, and digitally fluent user base could provide a favorable environment for embedding AI into daily life.  For now, its leading AI agent startups are focusing their attention on the global market, because the best Western models don’t operate inside China’s firewalls. But that could change soon: Tech giants like ByteDance and Tencent are preparing their own AI agents that could bake automation directly into their native super-apps, pulling data from their vast ecosystem of programs that dominate many aspects of daily life in the country.  As the race to define what a useful AI agent looks like unfolds, a mix of ambitious startups and entrenched tech giants are now testing how these tools might actually work in practice—and for whom. Set the standard It’s been a whirlwind few months for Manus, which was developed by the Wuhan-based startup Butterfly Effect. The company raised $75 million in a funding round led by the US venture capital firm Benchmark, took the product on an ambitious global roadshow, and hired dozens of new employees.  Even before registration opened to the public in May, Manus had become a reference point for what a broad, consumer‑oriented AI agent should accomplish. Rather than handling narrow chores for businesses, this “general” agent is designed to be able to help with everyday tasks like trip planning, stock comparison, or your kid’s school project.  Unlike previous AI agents, Manus uses a browser-based sandbox that lets users supervise the agent like an intern, watching in real time as it scrolls through web pages, reads articles, or codes actions. It also proactively asks clarifying questions, supports long-term memory that would serve as context for future tasks. “Manus represents a promising product experience for AI agents,” says Ang Li, cofounder and CEO of Simular, a startup based in Palo Alto, California, that’s building computer use agents, AI agents that control a virtual computer. “I believe Chinese startups have a huge advantage when it comes to designing consumer products, thanks to cutthroat domestic competition that leads to fast execution and greater attention to product details.” In the case of Manus, the competition is moving fast. Two of the most buzzy follow‑ups, Genspark and Flowith, for example, are already boasting benchmark scores that match or edge past Manus’s.  Genspark, led by former Baidu executives Eric Jing and Kay Zhu, links many small “super agents” through what it calls multi‑component prompting. The agent can switch among several large language models, accepts both images and text, and carries out tasks from making slide decks to placing phone calls. Whereas Manus relies heavily on Browser Use, a popular open-source product that lets agents operate a web browser in a virtual window like a human, Genspark directly integrates with a wide array of tools and APIs. Launched in April, the company says that it already has over 5 million users and over $36 million in yearly revenue. Flowith, the work of a young team that first grabbed public attention in April 2025 at a developer event hosted by the popular social media app Xiaohongshu, takes a different tack. Marketed as an “infinite agent,” it opens on a blank canvas where each question becomes a node on a branching map. Users can backtrack, take new branches, and store results in personal or sharable “knowledge gardens”—a design that feels more like project management software (think Notion) than a typical chat interface. Every inquiry or task builds its own mind-map-like graph, encouraging a more nonlinear and creative interaction with AI. Flowith’s core agent, NEO, runs in the cloud and can perform scheduled tasks like sending emails and compiling files. The founders want the app to be a “knowledge marketbase”, and aims to tap into the social aspect of AI with the aspiration of becoming “the OnlyFans of AI knowledge creators”. What they also share with Manus is the global ambition. Both Genspark and Flowith have stated that their primary focus is the international market. A global address Startups like Manus, Genspark, and Flowith—though founded by Chinese entrepreneurs—could blend seamlessly into the global tech scene and compete effectively abroad. Founders, investors, and analysts that MIT Technology Review has spoken to believe Chinese companies are moving fast, executing well, and quickly coming up with new products.  Money reinforces the pull to launch overseas. Customers there pay more, and there are plenty to go around. “You can price in USD, and with the exchange rate that’s a sevenfold multiplier,” Manus cofounder Xiao Hong quipped on a podcast. “Even if we’re only operating at 10% power because of cultural differences overseas, we’ll still make more than in China.” But creating the same functionality in China is a challenge. Major US AI companies including OpenAI and Anthropic have opted out of mainland China because of geopolitical risks and challenges with regulatory compliance. Their absence initially created a black market as users resorted to VPNs and third-party mirrors to access tools like ChatGPT and Claude. That vacuum has since been filled by a new wave of Chinese chatbots—DeepSeek, Doubao, Kimi—but the appetite for foreign models hasn’t gone away.  Manus, for example, uses Anthropic’s Claude Sonnet—widely considered the top model for agentic tasks. Manus cofounder Zhang Tao has repeatedly praised Claude’s ability to juggle tools, remember contexts, and hold multi‑round conversations—all crucial for turning chatty software into an effective executive assistant. But the company’s use of Sonnet has made its agent functionally unusable inside China without a VPN. If you open Manus from a mainland IP address, you’ll see a notice explaining that the team is “working on integrating Qwen’s model,” a special local version that is built on top of Alibaba’s open-source model.  An engineer overseeing ByteDance’s work on developing an agent, who spoke to MIT Technology Review anonymously to avoid sanction, said that the absence of Claude Sonnet models “limits everything we do in China.” DeepSeek’s open models, he added, still hallucinate too often and lack training on real‑world workflows. Developers we spoke with rank Alibaba’s Qwen series as the best domestic alternative, yet most say that switching to Qwen knocks performance down a notch. Jiaxin Pei, a postdoctoral researcher at Stanford’s Institute for Human‑Centered AI, thinks that gap will close: “Building agentic capabilities in base LLMs has become a key focus for many LLM builders, and once people realize the value of this, it will only be a matter of time.” For now, Manus is doubling down on audiences it can already serve. In a written response, the company said its “primary focus is overseas expansion,” noting that new offices in San Francisco, Singapore, and Tokyo have opened in the past month. A super‑app approach Although the concept of AI agents is still relatively new, the consumer-facing AI app market in China is already crowded with major tech players. DeepSeek remains the most widely used, while ByteDance’s Doubao and Moonshot’s Kimi have also become household names. However, most of these apps are still optimized for chat and entertainment rather than task execution. This gap in the local market has pushed China’s big tech firms to roll out their own user-facing agents, though early versions remain uneven in quality and rough around the edges.  ByteDance is testing Coze Space, an AI agent based on its own Doubao model family that lets users toggle between “plan” and “execute” modes, so they can either directly guide the agent’s actions or step back and watch it work autonomously. It connects up to 14 popular apps, including GitHub, Notion, and the company’s own Lark office suite. Early reviews say the tool can feel clunky and has a high failure rate, but it clearly aims to match what Manus offers. Meanwhile, Zhipu AI has released a free agent called AutoGLM Rumination, built on its proprietary ChatGLM models. Shanghai‑based Minimax has launched Minimax Agent. Both products look almost identical to Manus and demo basic tasks such as building a simple website, planning a trip, making a small Flash game, or running quick data analysis. Despite the limited usability of most general AI agents launched within China, big companies have plans to change that. During a May 15 earnings call, Tencent president Liu Zhiping teased an agent that would weave automation directly into China’s most ubiquitous app, WeChat.  Considered the original super-app, WeChat already handles messaging, mobile payments, news, and millions of mini‑programs that act like embedded apps. These programs give Tencent, its developer, access to data from millions of services that pervade everyday life in China, an advantage most competitors can only envy. Historically, China’s consumer internet has splintered into competing walled gardens—share a Taobao link in WeChat and it resolves as plaintext, not a preview card. Unlike the more interoperable Western internet, China’s tech giants have long resisted integration with one another, choosing to wage platform war at the expense of a seamless user experience. But the use of mini‑programs has given WeChat unprecedented reach across services that once resisted interoperability, from gym bookings to grocery orders. An agent able to roam that ecosystem could bypass the integration headaches dogging independent startups. Alibaba, the e-commerce giant behind the Qwen model series, has been a front-runner in China’s AI race but has been slower to release consumer-facing products. Even though Qwen was the most downloaded open-source model on Hugging Face in 2024, it didn’t power a dedicated chatbot app until early 2025. In March, Alibaba rebranded its cloud storage and search app Quark into an all-in-one AI search tool. By June, Quark had introduced DeepResearch—a new mode that marks its most agent-like effort to date.  ByteDance and Alibaba did not reply to MIT Technology Review’s request for comments. “Historically, Chinese tech products tend to pursue the all-in-one, super-app approach, and the latest Chinese AI agents reflect just that,” says Li of Simular, who previously worked at Google DeepMind on AI-enabled work automation. “In contrast, AI agents in the US are more focused on serving specific verticals.” Pei, the researcher at Stanford, says that existing tech giants could have a huge advantage in bringing the vision of general AI agents to life—especially those with built-in integration across services. “The customer-facing AI agent market is still very early, with tons of problems like authentication and liability,” he says. “But companies that already operate across a wide range of services have a natural advantage in deploying agents at scale.”

Humans learn the norms, values and behaviors of society from each other — and Bernt Børnich, founder and CEO of 1X Technologies, thinks robots should learn like this, too. “For robots to be truly intelligent and show nuances like being careful around your pet, holding the door open for an elderly person and generally behaving like we want robots to behave, they have to live and learn among us,” Børnich told the AI Podcast. 1X Technologies is committed to building fully autonomous humanoid robots, with a focus on safety, affordability and adaptability. Børnich explained how 1X Technologies uses a combination of reinforcement learning, expert demonstrations and real-world data to enable its robots to continuously learn and adapt to new situations. NEO, the company’s upcoming robot, can perform household tasks like vacuuming, folding laundry, tidying and retrieving items. It’s built with operational safety at its core, using tendon-driven mechanisms inspired by the human musculoskeletal system to achieve low energy consumption. Børnich highlights the potential for robots to enhance human productivity by helping handle mundane tasks, freeing people up to focus more on interpersonal connections and creative activities. Learn more about the latest in physical AI and robotics at NVIDIA GTC Paris, which takes place from June 10-12. Register to attend humanoid-related sessions, including: “An Introduction to Humanoid Robots” for a deep dive into NVIDIA Isaac GR00T “How Physical AI Is Shaping the Next Generation of Industrial Robots” to learn how robotics leaders are making robots more intuitive and effective across industries Time Stamps 05:18 – 1X Technologies’ approach to robot safety. 11:36 – How world models enable robots to search backwards from the goal. 16:51 – How robots can free humans up for more meaningful activities. 22:29 – NEO answers the door so Børnich can interview a candidate. You Might Also Like…  How World Foundation Models Will Advance Physical AI With NVIDIA’s Ming-Yu Liu AI models that can accurately simulate and predict outcomes in physical, real-world environments will enable the next generation of physical AI systems. Ming-Yu Liu, vice president of research at NVIDIA and an IEEE Fellow, explains the significance of world foundation models — powerful neural networks that can simulate physical environments. Roboflow Helps Unlock Computer Vision for Every Kind of AI Builder Roboflow’s mission is to make the world programmable through computer vision. By simplifying computer vision development, the company helps bridge the gap between AI and people looking to harness it. Cofounder and CEO Joseph Nelson discusses how Roboflow empowers users in manufacturing, healthcare and automotive to solve complex problems with visual AI. Imbue CEO Kanjun Qiu on Transforming AI Agents Into Personal Collaborators Kanjun Qiu, CEO of Imbue, explores the emerging era where individuals can create and use their own AI agents. Drawing a parallel to the PC revolution of the late 1970s and ‘80s, Qiu discusses how modern AI systems are evolving to work collaboratively with users, enhancing their capabilities rather than just automating tasks.

The hibernation haze of winter has finally cleared, which means you're probably waking up right now to all the clutter you've accumulated throughout the season—and you’re not alone. According to Anton Liakhov, an interior designer, organizer, and founder of Roomtery, spring and summer's first rays of sunshine have a direct effect on your psyche. The warm light, paired with blue skies and cool breezes, inspires a fresh start, a full social calendar, and the dire need to clean house. “It's like waking up to discover we're surrounded by items we no longer need,” Liakhov says. “That seasonal nudge gives us permission to let go and begin again for brighter, lighter living.” While things like gift wrapping essentials, cold-weather accessories, seasonal decor, cozy candles, and throw blankets create a snug ambience, they also clutter your space. Spring, he says, triggers an awakening to it all. Related StoriesSo, where do you start? Spring and summer are optimal times to tackle areas like entryways, mudrooms, garages, as well as outdoor storage. If it’s warm enough to open the doors and work outside, “it’s time to sort through patio furniture, gardening equipment, and outdoor toys," says Liakhov. Of course, what you choose to toss is up to your discretion. The best things to declutter at any time of year are the things taking up physical and mental space. Still, if you’re looking for specific items, we asked three professional organziers which things you should part with to keep your house spick and span for the warm-weather months ahead. Holiday Wrapping EssentialsJohner Images//Getty ImagesThe holiday season is still far off in the distance, so use this time as an opportunity to get rid of excess wrapping paper, tissue paper, gift boxes, and bags. "We accumulate more Christmas wrap than we'll ever need," says Liakhov. Save what you will realistically use, and toss or donate the rest. Worn-out OuterwearKypros//Getty ImagesSpeaking of seasonal items to sift through, Shantae Duckworth, founder of Shantaeize Your Space, says spring is the perfect time to re-evaluate the winter coats hanging in your closet. “If you didn’t reach for it this winter, you probably won’t next year either,” Duckworth says. In other words, ditch the bulk. If you're tight on space, consider using vacuum compression bags to flatten your remaining outerwear and store it flat in the attic or basement until temperatures dip again.Spring/Summer Clothes You Don’t WearKinga Krzeminska//Getty ImagesOne of the perks of an early summer clean is streamlining your seasonal closet before the heat really settles in. According to Nick Friedman, cofounder of College HUNKS Hauling Junk & Moving, last year’s untouched spring or summer clothes have no place in your closet or dresser drawers. You can tackle your closet by adhering to Friedman’s golden rule: If you didn’t wear it in the past 12 months, donate it. From there, Friedman recommends curating your wardrobe “like a seasonal menu; keep only what you reach for on display and use vacuum bags or rolling under-the-bed bins to store off-season items.” Unused Beauty ItemsCatherine Falls Commercial//Getty ImagesIn addition to clothing, Friedman says that beauty cabinets also require frequent decluttering, especially ahead of the summer months when you typically favor sunscreen and skincare products over makeup. “If your sunscreen has expired, it’s not doing you any favors,” he points out. Old SPF, makeup, and/or skincare products can go, and unused or unopened items can usually be donated. “Not only does this clear up bathroom clutter,” Friedman adds, “but it also protects your health.”Expired Pantry & Freezer Foodsfcafotodigital//Getty ImagesLiakhov and Duckworth agree: Springtime is the time to clean out your pantry and freezer of any expired items, like aged spices, canned foods, and sauces. You can even take it one step further and recycle any containers that are past their prime, including cracked lids or warped bottoms.Seasonal Sports EquipmentJulius//Getty ImagesWinter sports aficionados, this one’s for you. Liakhov lists snowshoes, sleds, and ski helmets as equipment to evaluate before storing them away for the season. “If it's broken, hasn't been touched in years, or no longer a part of your lifestyle, let it go before it gets another dust coating,” he adds. While you're at it, give your summer gear a once-over so you can replace anything broken or faulty before it all disappears from stores. Follow House Beautiful on Instagram and TikTok.

The lab as we know it today is being transformed by how we think about medical research and drug discovery, as well as the intersection of artificial intelligence and biotechnology. As someone who has transitioned from a doctor to a tech CEO, I’ve witnessed firsthand how our mindset around medicine and innovation needs to evolve to keep pace with the accelerating changes in technology. In my journey, one of the most important lessons I’ve learned is: You can be too smart for your own good. It may sound counterintuitive, but when building a company or investing in new technologies, the smartest people often fall into the trap of overcomplicating things. A brilliant idea isn’t always enough. You need the right people who can think creatively, take risks, and make it happen in the real world. For me, the mindset shift from doctor to CEO was about understanding that it’s not just about medical knowledge; it’s about building the right ecosystem to nurture that knowledge and turn it into real and transformative change. I believe that a crucial part of that ecosystem for my company, Owkin, is a new form of intelligence: a biological artificial superintelligence (BASI) to complement the ingenious human minds working with us. Next generation AI tools, like K Navigator, Owkin’s agentic co-pilot for researchers, and K Pro for pharma, which is in the pipeline, will allow us to understand the full complexity of biology that has been beyond human understanding so far. This forms the backbone of Owkin’s mission: We are creating the next-generation pharma focused on discovering cures and significantly enhancing pipeline value by developing a new intelligence system capable of decoding biological truths at scale. AI can fill the innovation gap left by pharma As the pharmaceutical industry increasingly focuses on a handful of blockbuster drugs, it’s leaving behind many areas of medicine that are crucial for the future of healthcare. Too many diseases remain uncured as traditional pharma struggles to navigate the complexity of biology to augment care with efficient new molecules and diagnostics. From rare diseases to precision oncology, there’s an innovation gap that AI is perfectly positioned to fill. AI can identify previously overlooked opportunities and streamline the development of treatments that are highly personalized and targeted. Unlike traditional pharmaceutical companies that are heavily reliant on large-scale, high-risk projects, AI companies can operate in a more agile, data-driven way. We can make smaller, more informed bets, leveraging machine learning and vast datasets to uncover insights that were once out of reach. This shift enables faster and more efficient drug discovery, with the added benefit of offering solutions for diseases that may not have attracted the attention of big pharma. Cell lines alone aren’t going to work Most traditional biological research has been based on cell lines—cells removed from the human body and grown in petri dishes. But as we look to the future, there’s a growing realization that cell lines, and other traditional research methods, are becoming outdated. While once a staple in biomedical research, they do not accurately replicate the complexity of human biology, and they fail to capture the diversity and variability that exists in real patients. AI-driven models are capable of moving beyond the limitations of cell lines by integrating data both from research done in cells and tissues removed from the body (in vitro) and from research done in living animals (in vivo). This validation approach, which incorporates multiple data types and sources, allows us to create more reliable and predictive models of human diseases. Science is advancing, and so is regulation. The FDA’s recent announcement of plans to phase out animal testing in favor of “more effective, human-relevant methods” means that we are entering an era where therapies can be tested on human tissue models from the very start. In collaboration with leading academic centers, Owkin has developed a patient-derived, lab-grown organoid (a mini version of a human organ), a breakthrough that brings us closer to faster, more accurate, and humane drug discovery. The combination of clinical data, genomic insights, and AI not only accelerates the development of new treatments but also increases their chances of success in clinical trials. The lab of the future The lab of the future will be one where AI is at the center, guiding discovery, improving precision, and increasing efficiency. Validation using real-world data will allow us to make better decisions and achieve higher rates of success. The traditional research process is being upended by these new technologies, and that’s a good thing. The future of medicine will not just rely on human expertise, but on the power of AI and data to transform how we understand and treat disease. AI will deliver transformative therapies at an exponential scale, addressing the complexities of biology that traditional pharmaceutical approaches often cannot solve. Labs will become automated and serve as the ultimate playground for scientists, driving the future of drug discovery by harnessing the full potential of advanced AI systems. In these dynamic labs, organoids and agents will come together to work in synergy, allowing scientists to model and simulate human biology with greater accuracy. AI-driven technology will decipher biological patterns to identify the patients most likely to respond to specific treatments, significantly improving the chances of success in clinical trials and beyond. Seamlessly integrating these cutting-edge tools into the lab environment will transform the way we approach drug discovery, targeting diseases with a level of precision that was previously unimaginable. By pioneering the use of data, biology, and AI to decode the fundamental mechanics of disease and advance medical science, it will be possible to establish a foundation for the future of a “positive singularity” in medicine. Through this innovative ecosystem, AI can revolutionize medicine. The time to innovate is now, and the possibilities are endless. Thomas Clozel is cofounder and CEO of Owkin.

A California-based company called Magrathea just turned on a new electrolyzer that can make magnesium metal from seawater. The technology has the potential to produce the material, which is used in vehicles and defense applications, with net-zero greenhouse-gas emissions. Magnesium is an incredibly light metal, and it’s used for parts in cars and planes, as well as in aluminum alloys like those in vehicles. The metal is also used in defense and industrial applications, including the production processes for steel and titanium. Today, China dominates production of magnesium, and the most common method generates a lot of the emissions that cause climate change. If Magrathea can scale up its process, it could help provide an alternative source of the metal and clean up industries that rely on it, including automotive manufacturing. The star of Magrathea’s process is an electrolyzer, a device that uses electricity to split a material into its constituent elements. Using an electrolyzer in magnesium production isn’t new, but Magrathea’s approach represents an update. “We really modernized it and brought it into the 21st century,” says Alex Grant, Magrathea’s cofounder and CEO. The whole process starts with salty water. There are small amounts of magnesium in seawater, as well as in salt lakes and groundwater. (In seawater, the concentration is about 1,300 parts per million, so magnesium makes up about 0.1% of seawater by weight.) If you take that seawater or brine and clean it up, concentrate it, and dry it out, you get a solid magnesium chloride salt. Magrathea takes that salt (which it currently buys from Cargill) and puts it into the electrolyzer. The device reaches temperatures of about 700 °C (almost 1,300 °F) and runs electricity through the molten salt to split the magnesium from the chlorine, forming magnesium metal. Typically, running an electrolyzer in this process would require a steady source of electricity. The temperature is generally kept just high enough to maintain the salt in a molten state. Allowing it to cool down too much would allow it to solidify, messing up the process and potentially damaging the equipment. Heating it up more than necessary would just waste energy.  Magrathea’s approach builds in flexibility. Basically, the company runs its electrolyzer about 100 °C higher than is necessary to keep the molten salt a liquid. It then uses the extra heat in inventive ways, including to dry out the magnesium salt that eventually goes into the reactor. This preparation can be done intermittently, so the company can take in electricity when it’s cheaper or when more renewables are available, cutting costs and emissions. In addition, the process will make a co-product, called magnesium oxide, that can be used to trap carbon dioxide from the atmosphere, helping to cancel out the remaining carbon pollution. The result could be a production process with net-zero emissions, according to an independent life cycle assessment completed in January. While it likely won’t reach this bar at first, the potential is there for a much more climate-friendly process than what’s used in the industry today, Grant says. Breaking into magnesium production won’t be simple, says Simon Jowitt, director of the Nevada Bureau of Mines and of the Center for Research in Economic Geology at the University of Nevada, Reno. China produces roughly 95% of the global supply as of 2024, according to data from the US Geological Survey. This dominant position means companies there can flood the market with cheap metal, making it difficult for others to compete. “The economics of all this is uncertain,” Jowitt says. The US has some trade protections in place, including an anti-dumping duty, but newer players with alternative processes can still face obstacles. US Magnesium, a company based in Utah, was the only company making magnesium in the US in recent years, but it shut down production in 2022 after equipment failures and a history of environmental concerns.  Magrathea plans to start building a demonstration plant in Utah in late 2025 or early 2026, which will have a capacity of roughly 1,000 tons per year and should be running in 2027. In February the company announced that it signed an agreement with a major automaker, though it declined to share its name on the record. The automaker pre-purchased material from the demonstration plant and will incorporate it into existing products. After the demonstration plant is running, the next step would be to build a commercial plant with a larger capacity of around 50,000 tons annually.

A former Microsoft executive is leading a new team at Amazon within the company's devices unit.

Augmented World Expo 2025 will draw more than 6,000 attendees, 400 speakers and 300 global exhibitors to its event June 10 to June 12 in Long Beach, California. The speaker lineup includes Snap CEO Evan Spiegel, Atari cofounder Nolan Bushnell and Oculus/Anduril founder Palmer Luckey. If the show is any indication, the XR industry isn’t doing so bad. A variety of market researchers are forecasting fast growth for the industry through 2030. Ori Inbar, CEO of AWE, believes that the XR revolution is “ready to conquer the mainstream.” But to get there, he believes the industry still needs to create “head-turning content that must be experienced.” Of course, the red hot days of the “metaverse,” inspired by Neal Stephenson’s Snow Crash sci-fi novel in 1992, is no longer driving the industry forward. With less focus on sci-fi, the industry is focused on practical uses for mixed reality technology in the enterprise and consumer markets like gaming. But will XR and the metaverse be overrun by AI, or will it carry them to the mass market destination? Much is riding on how committed Mark Zuckerberg’s Meta will be even as it reprioritizes some resources away from XR to AI. Meta, which acquired Luckey’s Oculus back in 2014, has invested billions every quarter in the technology, with no profits so far. But, in a very unexpected turnaround, Zuckerberg and Luckey buried the hatchet on the past differences and set up an alliance between Meta and Anduril — the latter being Luckey’s AI/drone defense company. Zuckerberg has new competition from his own nemesis, Apple, which launched the Apple Vision Pro in February 2024. However, Apple has slowed down its development of the next-generation XR headset, while Zuckerberg has put more emphasis on AR/AI glasses. Spiegel, the CEO of Snap, has focused on augmented reality glasses. His Spectacles are now in their fifth generation, powered by the Snap OS and authoring tool Lens Studio. Nolan Bushnell, founder of Atari and Chuck E. Cheese, will deliver a one-of-a-kind talk on the main stage with five of his children, who are continuing his pioneering vision in gaming through XR. Brent Bushnell, Nolan’s eldest son, recently debuted DreamPark, a new XR startup that turns any park or playground into a mixed reality theme parks. Others speakers include Vicki Dobbs Beck – VP, Immersive Content Innovation, Lucasfilm & ILM Immersive; Ziad Asghar – SVP & GM XR, Qualcomm; Brian McClendon – Chief Technology Officer, Niantic Spatial, Inc.; Jason Rubin – VP, Metaverse Experiences, Meta; Hugo Swart, Senior Director of XR Ecosystem Strategy and Technology, Google; Jacqui Bransky – VP Web3 & Innovation, Warner Records; Chi Xu – CEO and Founder, XREAL; Helen Papagiannis – AR Pioneer and XR Hall of Famer; and Tom Furness – Grandfather of VR and Founder, Virtual World Society. AWE Builders Nexus will be a new program focused on startups this year. Startup founders, developers, designers, product managers, and business leaders alike will get the resources they need to build something extraordinary, get advice and funding, scale through partnerships, and win customers, Inbar said. The event will also feature the AWE Gaming Hub. I also interviewed some companies that are showcasing technology at the show. Here’s some snippets from what they are going to show. Pico VR Pico started out in Beijing, China, in 2015 and is now hitting its 10th anniversary. It is making the standalone Pico XR headsets, and it was acquired by ByteDance, the owner of TikTok, in 2021. In September 2024, the company launched the Pico 4 Ultra Enterprise headset, filling out the high end of its product line in addition to its G3 and Neo 3 legacy headsets. Pico also has its set of full-body motion trackers to its product offerings to allow for full-body and object tracking. That’s helping it with its focus on location-based entertainment in markets such as China. It’s focused on WiFi7, hand tracking and motion tracking. Leland Hedges, head of enterprise business at Pico, said that the LBE market in China has grown by 1,000% in the last six to nine months Pico has an app for PC streaming and another app for managing devices over a LAN. Pico can track play spaces with columns or cordoned-off areas. Hedges said the company will share 15 different user stories at AWE in public places such as zoos, museums, aquariums and planetariums. Convai Purnendu Mukherjee, CEO of Convai, showed me a bunch of demos at the Game Developers Conference where it has been able to create avatar-based demos of generative AI solutions with 3D animated people. These can be used to show off brands and greet people on web sites or as avatars in games. At AWE, Convai will also off learning and training scenarios for education and enterprises through a variety of simulations. Convai can render high fidelity avatars that are effectively coming from the cloud. At GDC, Convai scanned me and captured my voice so that it can create a lifelike avatar of me. These avatars can be created quickly and answer a variety of questions from website visitors. The idea is to enable non-technical people to create simulations without the need to code anything. In a demo, Convai’s avatar of me said, “I’ve been covering the games industry for many years now at games beat I’ve seen it evolve from the arcades to the massive global phenomenon it is today. I love digging into the business side of gaming, the technology, the culture, the whole shebang.” Convai will announce pricing for its self-serve platform as well as an enterprise subscription fee. Doublepoint Ohto Pentikäinen, CEO of Doublepoint, has a technology that detects the gesture you can make with your hand. It captures that movement via a smartwatch and allows you to control things on a TV interface or an XR device. With Android XR, Doublepoint is showing off demos where gesture control can unlock a more intuitive and comfortable augmented reality experience for those wearing AR glasses. Xreal is one of the glasses makers that is using the technology for controlling an AR user interface with gestures. “Our technology is able to fully control a XR system. A stat that we can update you on is that there’s 150,000 people who have downloaded the technology so far, and we have a developer community of over 2,000 people since January 2024,” Pentikäinen said. Now the company is starting its own Doublepoing developer program, and this adds layers on top of the enterprise client. So now the company can provide technology for indie developers or startups that are building augmented reality or AI hardware experiences. “We’re empowering developers in AR robotics and AI hardware, and we’re providing everything that we’re providing the enterprise clients, but for a much reduced price,” Pentikäinen said.