It has started to get really wintry here in London over the last few days. The mornings are frosty, the wind is biting, and it’s already dark by the time I pick my kids up from school. The darkness in particular has got me thinking about vitamin D, a.k.a. the sunshine vitamin. At a checkup a few years ago, a doctor told me I was deficient in vitamin D. But he wouldn’t write me a prescription for supplements, simply because, as he put it, everyone in the UK is deficient. Putting the entire population on vitamin D supplements would be too expensive for the country’s national health service, he told me. But supplementation—whether covered by a health-care provider or not—can be important. As those of us living in the Northern Hemisphere spend fewer of our waking hours in sunlight, let’s consider the importance of vitamin D. Yes, it is important for bone health. But recent research is also uncovering surprising new insights into how the vitamin might influence other parts of our bodies, including our immune systems and heart health.
Vitamin D was discovered just over 100 years ago, when health professionals were looking for ways to treat what was then called “the English disease.” Today, we know that rickets, a weakening of bones in children, is caused by vitamin D deficiency. And vitamin D is best known for its importance in bone health. That’s because it helps our bodies absorb calcium. Our bones are continually being broken down and rebuilt, and they need calcium for that rebuilding process. Without enough calcium, bones can become weak and brittle. (Depressingly, rickets is still a global health issue, which is why there is global consensus that infants should receive a vitamin D supplement at least until they are one year old.)
In the decades since then, scientists have learned that vitamin D has effects beyond our bones. There’s some evidence to suggest, for example, that being deficient in vitamin D puts people at risk of high blood pressure. Daily or weekly supplements can help those individuals lower their blood pressure. A vitamin D deficiency has also been linked to a greater risk of “cardiovascular events” like heart attacks, although it’s not clear whether supplements can reduce this risk; the evidence is pretty mixed. Vitamin D appears to influence our immune health, too. Studies have found a link between low vitamin D levels and incidence of the common cold, for example. And other research has shown that vitamin D supplements can influence the way our genes make proteins that play important roles in the way our immune systems work. We don’t yet know exactly how these relationships work, however. And, unfortunately, a recent study that assessed the results of 37 clinical trials found that overall, vitamin D supplements aren’t likely to stop you from getting an “acute respiratory infection.” Other studies have linked vitamin D levels to mental health, pregnancy outcomes, and even how long people survive after a cancer diagnosis. It’s tantalizing to imagine that a cheap supplement could benefit so many aspects of our health. But, as you might have gathered if you’ve got this far, we’re not quite there yet. The evidence on the effects of vitamin D supplementation for those various conditions is mixed at best. In fairness to researchers, it can be difficult to run a randomized clinical trial for vitamin D supplements. That’s because most of us get the bulk of our vitamin D from sunlight. Our skin converts UVB rays into a form of the vitamin that our bodies can use. We get it in our diets, too, but not much. (The main sources are oily fish, egg yolks, mushrooms, and some fortified cereals and milk alternatives.) The standard way to measure a person’s vitamin D status is to look at blood levels of 25-hydroxycholecalciferol (25(OH)D), which is formed when the liver metabolizes vitamin D. But not everyone can agree on what the “ideal” level is.

Even if everyone did agree on a figure, it isn’t obvious how much vitamin D a person would need to consume to reach this target, or how much sunlight exposure it would take. One complicating factor is that people respond to UV rays in different ways—a lot of that can depend on how much melanin is in your skin. Similarly, if you’re sitting down to a meal of oily fish and mushrooms and washing it down with a glass of fortified milk, it’s hard to know how much more you might need. There is more consensus on the definition of vitamin D deficiency, though. (It’s a blood level below 30 nanomoles per liter, in case you were wondering.) And until we know more about what vitamin D is doing in our bodies, our focus should be on avoiding that. For me, that means topping up with a supplement. The UK government advises everyone in the country to take a 10-microgram vitamin D supplement over autumn and winter. That advice doesn’t factor in my age, my blood levels, or the amount of melanin in my skin. But it’s all I’ve got for now.

In partnership withCisco Digital resilience—the ability to prevent, withstand, and recover from digital disruptions—has long been a strategic priority for enterprises. With the rise of agentic AI, the urgency for robust resilience is greater than ever. Agentic AI represents a new generation of autonomous systems capable of proactive planning, reasoning, and executing tasks with minimal human intervention. As these systems shift from experimental pilots to core elements of business operations, they offer new opportunities but also introduce new challenges when it comes to ensuring digital resilience. That’s because the autonomy, speed, and scale at which agentic AI operates can amplify the impact of even minor data inconsistencies, fragmentation, or security gaps. While global investment in AI is projected to reach $1.5 trillion in 2025, fewer than half of business leaders are confident in their organization’s ability to maintain service continuity, security, and cost control during unexpected events. This lack of confidence, coupled with the profound complexity introduced by agentic AI’s autonomous decision-making and interaction with critical infrastructure, requires a reimagining of digital resilience. Organizations are turning to the concept of a data fabric—an integrated architecture that connects and governs information across all business layers. By breaking down silos and enabling real-time access to enterprise-wide data, a data fabric can empower both human teams and agentic AI systems to sense risks, prevent problems before they occur, recover quickly when they do, and sustain operations.
Machine data: A cornerstone of agentic AI and digital resilience Earlier AI models relied heavily on human-generated data such as text, audio, and video, but agentic AI demands deep insight into an organization’s machine data: the logs, metrics, and other telemetry generated by devices, servers, systems, and applications. To put agentic AI to use in driving digital resilience, it must have seamless, real-time access to this data flow. Without comprehensive integration of machine data, organizations risk limiting AI capabilities, missing critical anomalies, or introducing errors. As Kamal Hathi, senior vice president and general manager of Splunk, a Cisco company, emphasizes, agentic AI systems rely on machine data to understand context, simulate outcomes, and adapt continuously. This makes machine data oversight a cornerstone of digital resilience.
“We often describe machine data as the heartbeat of the modern enterprise,” says Hathi. “Agentic AI systems are powered by this vital pulse, requiring real-time access to information. It’s essential that these intelligent agents operate directly on the intricate flow of machine data and that AI itself is trained using the very same data stream.”  Few organizations are currently achieving the level of machine data integration required to fully enable agentic systems. This not only narrows the scope of possible use cases for agentic AI, but, worse, it can also result in data anomalies and errors in outputs or actions. Natural language processing (NLP) models designed prior to the development of generative pre-trained transformers (GPTs) were plagued by linguistic ambiguities, biases, and inconsistencies. Similar misfires could occur with agentic AI if organizations rush ahead without providing models with a foundational fluency in machine data.  For many companies, keeping up with the dizzying pace at which AI is progressing has been a major challenge. “In some ways, the speed of this innovation is starting to hurt us, because it creates risks we’re not ready for,” says Hathi. “The trouble is that with agentic AI’s evolution, relying on traditional LLMs trained on human text, audio, video, or print data doesn’t work when you need your system to be secure, resilient, and always available.” Designing a data fabric for resilience To address these shortcomings and build digital resilience, technology leaders should pivot to what Hathi describes as a data fabric design, better suited to the demands of agentic AI. This involves weaving together fragmented assets from across security, IT, business operations, and the network to create an integrated architecture that connects disparate data sources, breaks down silos, and enables real-time analysis and risk management.  “Once you have a single view, you can do all these things that are autonomous and agentic,” says Hathi. “You have far fewer blind spots. Decision-making goes much faster. And the unknown is no longer a source of fear because you have a holistic system that’s able to absorb these shocks and disruption without losing continuity,” he adds. To create this unified system, data teams must first break down departmental silos in how data is shared, says Hathi. Then, they must implement a federated data architecture—a decentralized system where autonomous data sources work together as a single unit without physically merging—to create a unified data source while maintaining governance and security. And finally, teams must upgrade data platforms to ensure this newly unified view is actionable for agentic AI.  During this transition, teams may face technical limitations if they rely on traditional platforms modeled on structured data—that is, mostly quantitative information such as customer records or financial transactions that can be organized in a predefined format (often in tables) that is easy to query. Instead, companies need a platform that can also manage streams of unstructured data such as system logs, security events, and application traces, which lack uniformity and are often qualitative rather than quantitative. Analyzing, organizing, and extracting insights from these kinds of data requires more advanced methods enabled by AI. Harnessing AI as a collaborator AI itself can be a powerful tool in creating the data fabric that enables AI systems. AI-powered tools can, for example, quickly identify relationships between disparate data—both structured and unstructured—automatically merging them into one source of truth. They can detect and correct errors and employ NLP to tag and categorize data to make it easier to find and use. 

Agentic AI systems can also be used to augment human capabilities in detecting and deciphering anomalies in an enterprise’s unstructured data streams. These are often beyond human capacity to spot or interpret at speed, leading to missed threats or delays. But agentic AI systems, designed to perceive, reason, and act autonomously, can plug the gap, delivering higher levels of digital resilience to an enterprise. “Digital resilience is about more than withstanding disruptions,” says Hathi. “It’s about evolving and growing over time. AI agents can work with massive amounts of data and continuously learn from humans who provide safety and oversight. This is a true self-optimizing system.” Humans in the loop Despite its potential, agentic AI should be positioned as assistive intelligence. Without proper oversight, AI agents could introduce application failures or security risks. Clearly defined guardrails and maintaining humans in the loop is “key to trustworthy and practical use of AI,” Hathi says. “AI can enhance human decision-making, but ultimately, humans are in the driver’s seat.” This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff. It was researched, designed, and written by human writers, editors, analysts, and illustrators. This includes the writing of surveys and collection of data for surveys. AI tools that may have been used were limited to secondary production processes that passed thorough human review.

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Three things to know about the future of electricity The International Energy Agency recently released the latest version of the World Energy Outlook, the annual report that takes stock of the current state of global energy and looks toward the future. It contains some interesting insights and a few surprising figures about electricity, grids, and the state of climate change. Let’s dig into some numbers. —Casey Crownhart
This article is from The Spark, MIT Technology Review’s weekly climate newsletter. To receive it in your inbox every Wednesday, sign up here.
How to survive in the new age of conspiracies Everything is a conspiracy theory now. Our latest series “The New Conspiracy Age” delves into how conspiracies have gripped the White House, turning fringe ideas into dangerous policy, and how generative AI is altering the fabric of truth.If you’re interested in hearing more about how to survive in this strange new age, join our features editor Amanda Silverman and executive editor Niall Firth today at 1pm ET for an subscriber-exclusive Roundtable conversation. They’ll be joined by conspiracy expert Mike Rothschild, who’s written a fascinating piece for us about what it’s like to find yourself at the heart of a conspiracy theory. Register now to join us! The must-reads I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology. 1 Donald Trump is poised to ban AI state lawsThe US President is considering signing an order to give the federal government unilateral power over regulating AI. (The Verge)+ It would give the Justice Department power to sue dissenting states. (WP $)+ Critics claim the draft undermines trust in the US’s ability to make AI safe. (Wired $)+ It’s not just America—the EU fumbled its attempts to rein in AI, too. (FT $)2 The CDC is making false claims about a link between vaccines and autismDespite previously spending decades fighting misinformation connecting them. (WP $)+ The National Institutes of Health is parroting RFK Jr’s messaging, too. (The Atlantic $)3 China is going all-in on autonomous vehiclesWhich is bad news for its millions of delivery drivers. (FT $)+ It’s also throwing its full weight behind its native EV industry. (Rest of World) 5 Major music labels have inked a deal with an AI streaming serviceKlay users will be able to remodel songs from the likes of Universal using AI. (Bloomberg $)+ What happens next is anyone’s guess. (Billboard $)+ AI is coming for music, too. (MIT Technology Review) 5 How quantum sensors could overhaul GPS navigationCurrent GPS is vulnerable to spoofing and jamming. But what comes next? (WSJ $)+ Inside the race to find GPS alternatives. (MIT Technology Review)

6 There’s a divide inside the community of people in relationships with chatbots Some users assert their love interests are real—to the concern of others. (NY Mag $)+ It’s surprisingly easy to stumble into a relationship with an AI chatbot. (MIT Technology Review) 7 There’s still hope for a functional cure to HIVEven in the face of crippling funding cuts. (Knowable Magazine)+ Breakthrough drug lenacapavir is being rolled out in parts of Africa. (NPR)+ This annual shot might protect against HIV infections. (MIT Technology Review) 8 Is it possible to reverse years of AI brainrot?A new wave of memes is fighting the good fight. (Wired $)+ How to fix the internet. (MIT Technology Review) 9 Tourists fell for an AI-generated Christmas market outside Buckingham Palace 🎄If it looks too good to be true, it probably is. (The Guardian)+ It’s unclear who is behind the pictures, which spread on Instagram. (BBC) 10 Here’s what people return to AmazonA whole lot of polyester clothing, by the sounds of it. (NYT $) Quote of the day “I think we’re in an LLM bubble, and I think the LLM bubble might be bursting next year.”
—Hugging Face co-founder and CEO Clem Delangue has a slightly different take on the reports we’re in an AI bubble, TechCrunch reports.
One more thing Inside a new quest to save the “doomsday glacier”The Thwaites glacier is a fortress larger than Florida, a wall of ice that reaches nearly 4,000 feet above the bedrock of West Antarctica, guarding the low-lying ice sheet behind it.But a strong, warm ocean current is weakening its foundations and accelerating its slide into the sea. Scientists fear the waters could topple the walls in the coming decades, kick-starting a runaway process that would crack up the West Antarctic Ice Sheet, marking the start of a global climate disaster. As a result, they are eager to understand just how likely such a collapse is, when it could happen, and if we have the power to stop it. Read the full story. —James Temple We can still have nice things A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line or skeet ’em at me.) + As Christmas approaches, micro-gifting might be a fun new tradition to try out.+ I’ve said it before and I’ll say it again—movies are too long these days.+ If you’re feeling a bit existential this morning, these books are a great starting point for finding a sense of purpose.+ This is a fun list of the internet’s weird and wonderful obsessive lists.

One of the dominant storylines I’ve been following through 2025 is electricity—where and how demand is going up, how much it costs, and how this all intersects with that topic everyone is talking about: AI. Last week, the International Energy Agency released the latest version of the World Energy Outlook, the annual report that takes stock of the current state of global energy and looks toward the future. It contains some interesting insights and a few surprising figures about electricity, grids, and the state of climate change. So let’s dig into some numbers, shall we? We’re in the age of electricity Energy demand in general is going up around the world as populations increase and economies grow. But electricity is the star of the show, with demand projected to grow by 40% in the next 10 years. China has accounted for the bulk of electricity growth for the past 10 years, and that’s going to continue. But emerging economies outside China will be a much bigger piece of the pie going forward. And while advanced economies, including the US and Europe, have seen flat demand in the past decade, the rise of AI and data centers will cause demand to climb there as well.
Air-conditioning is a major source of rising demand. Growing economies will give more people access to air-conditioning; income-driven AC growth will add about 330 gigawatts to global peak demand by 2035. Rising temperatures will tack on another 170 GW in that time. Together, that’s an increase of over 10% from 2024 levels.   AI is a local story This year, AI has been the story that none of us can get away from. One number that jumped out at me from this report: In 2025, investment in data centers is expected to top $580 billion. That’s more than the $540 billion spent on the global oil supply. 
It’s no wonder, then, that the energy demands of AI are in the spotlight. One key takeaway is that these demands are vastly different in different parts of the world. Data centers still make up less than 10% of the projected increase in total electricity demand between now and 2035. It’s not nothing, but it’s far outweighed by sectors like industry and appliances, including air conditioners. Even electric vehicles will add more demand to the grid than data centers. But AI will be the factor for the grid in some parts of the world. In the US, data centers will account for half the growth in total electricity demand between now and 2030. And as we’ve covered in this newsletter before, data centers present a unique challenge, because they tend to be clustered together, so the demand tends to be concentrated around specific communities and on specific grids. Half the data center capacity that’s in the pipeline is close to large cities. Look out for a coal crossover As we ask more from our grid, the key factor that’s going to determine what all this means for climate change is what’s supplying the electricity we’re using. As it stands, the world’s grids still primarily run on fossil fuels, so every bit of electricity growth comes with planet-warming greenhouse-gas emissions attached. That’s slowly changing, though. Together, solar and wind were the leading source of electricity in the first half of this year, overtaking coal for the first time. Coal use could peak and begin to fall by the end of this decade. Nuclear could play a role in replacing fossil fuels: After two decades of stagnation, the global nuclear fleet could increase by a third in the next 10 years. Solar is set to continue its meteoric rise, too. Of all the electricity demand growth we’re expecting in the next decade, 80% is in places with high-quality solar irradiation—meaning they’re good spots for solar power. Ultimately, there are a lot of ways in which the world is moving in the right direction on energy. But we’re far from moving fast enough. Global emissions are, once again, going to hit a record high this year. To limit warming and prevent the worst effects of climate change, we need to remake our energy system, including electricity, and we need to do it faster.  This article is from The Spark, MIT Technology Review’s weekly climate newsletter. To receive it in your inbox every Wednesday, sign up here.

In partnership withMicrosoft and NVIDIA Manufacturing is getting a major system upgrade. As AI amplifies existing technologies—like digital twins, the cloud, edge computing, and the industrial internet of things (IIoT)—it is enabling factory operations teams to shift from reactive, isolated problem-solving to proactive, systemwide optimization. Digital twins—physically accurate virtual representations of a piece of equipment, a production line, a process, or even an entire factory—allow workers to test, optimize, and contextualize complex, real-world environments. Manufacturers are using digital twins to simulate factory environments with pinpoint detail. “AI-powered digital twins mark a major evolution in the future of manufacturing, enabling real-time visualization of the entire production line, not just individual machines,” says Indranil Sircar, global chief technology officer for the manufacturing and mobility industry at Microsoft. “This is allowing manufacturers to move beyond isolated monitoring toward much wider insights.” A digital twin of a bottling line, for example, can integrate one-dimensional shop-floor telemetry, two-dimensional enterprise data, and three-dimensional immersive modeling into a single operational view of the entire production line to improve efficiency and reduce costly downtime. Many high-speed industries face downtime rates as high as 40%, estimates Jon Sobel, co-founder and chief executive officer of Sight Machine, an industrial AI company that partners with Microsoft and NVIDIA to transform complex data into actionable insights. By tracking micro-stops and quality metrics via digital twins, companies can target improvements and adjustments with greater precision, saving millions in once-lost productivity without disrupting ongoing operations.
AI offers the next opportunity. Sircar estimates that up to 50% of manufacturers are currently deploying AI in production. This is up from 35% of manufacturers surveyed in a 2024 MIT Technology Review Insights report who said they have begun to put AI use cases into production. Larger manufacturers with more than $10 billion in revenue were significantly ahead, with 77% already deploying AI use cases, according to the report. “Manufacturing has a lot of data and is a perfect use case for AI,” says Sobel. “An industry that has been seen by some as lagging when it comes to digital technology and AI may be in the best position to lead. It’s very unexpected.” Download the report. This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff. It was researched, designed, and written by human writers, editors, analysts, and illustrators. This includes the writing of surveys and collection of data for surveys. AI tools that may have been used were limited to secondary production processes that passed thorough human review.

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Quantum physicists have shrunk and “de-censored” DeepSeek R1 The news: A group of quantum physicists at Spanish firm Multiverse Computing claims to have created a version of the powerful reasoning AI model DeepSeek R1 that strips out the censorship built into the original by its Chinese creators.  Why it matters: In China, AI companies are subject to rules and regulations meant to ensure that content output aligns with laws and “socialist values.” As a result, companies build in layers of censorship when training the AI systems. When asked questions that are deemed “politically sensitive,” the models often refuse to answer or provide talking points straight from state propaganda.
How they did it: Multiverse Computing specializes in quantum-inspired AI techniques, which it used to create DeepSeek R1 Slim, a model that is 55% smaller but performs almost as well as the original model. It allowed them to identify and remove Chinese censorship so that the model answered sensitive questions in much the same way as Western models. Read the full story. —Caiwei Chen
Google’s new Gemini 3 “vibe-codes” responses and comes with its own agent Google today unveiled Gemini 3, a major upgrade to its flagship multimodal model. The firm says the new model is better at reasoning, has more fluid multimodal capabilities (the ability to work across voice, text or images), and will work like an agent.Gemini Agent is an experimental feature designed to handle multi-step tasks directly inside the app. The agent can connect to services such as Google Calendar, Gmail, and Reminders. Once granted access, it can execute tasks like organizing an inbox or managing schedules. Read the full story. —Caiwei Chen MIT Technology Review Narrated: Why climate researchers are taking the temperature of mountain snow The Sierra’s frozen reservoir provides about a third of California’s water and most of what comes out of the faucets, shower heads, and sprinklers in the towns and cities of northwestern Nevada. The need for better snowpack temperature data has become increasingly critical for predicting when the water will flow down the mountains, as climate change fuels hotter weather, melts snow faster, and drives rapid swings between very wet and very dry periods.

A new generation of tools, techniques, and models promises to improve water forecasts, and help California and other states manage in the face of increasingly severe droughts and flooding. However, observers fear that any such advances could be undercut by the Trump administration’s cutbacks across federal agencies. This is our latest story to be turned into a MIT Technology Review Narrated podcast, which we’re publishing each week on Spotify and Apple Podcasts. Just navigate to MIT Technology Review Narrated on either platform, and follow us to get all our new content as it’s released. The must-reads I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology. 1 Yesterday’s Cloudflare outage was not triggered by a hackAn error in its bot management system was to blame. (The Verge)+ ChatGPT, X and Uber were among the services that dropped. (WP $)+ It’s another example of the dangers of having a handful of infrastructure providers. (WSJ $)+ Today’s web is incredibly fragile. (Bloomberg $) 2 Donald Trump has called for a federal AI regulatory standardInstead of allowing each state to make its own laws. (Axios)+ He claims the current approach risks slowing down AI progress. (Bloomberg $) 3 Meta has won the antitrust case that threatened to spin off InstagramIt’s one of the most high-profile cases in recent years. (FT $)+ A judge ruled that Meta doesn’t hold a social media monopoly. (BBC)
4 The Three Mile Island nuclear plant is making a comebackIt’s the lucky recipient of a $1 billion federal loan to kickstart the facility. (WP $)+ Why Microsoft made a deal to help restart Three Mile Island. (MIT Technology Review)5 Roblox will block children from speaking to adult strangers The gaming platform is facing fresh lawsuits alleging it is failing to protect young users from online predators. (The Guardian)+ But we don’t know much about how accurate its age verification is. (CNN)+ All users will have to submit a selfie or an ID to use chat features. (Engadget) 6 Boston Dynamics’ robot dog is becoming a widespread policing toolIt’s deployed by dozens of US and Canadian bomb squads and SWAT teams. (Bloomberg $)
7 A tribally-owned network of EV chargers is nearing completionIt’s part of Standing Rock reservation’s big push for clean energy. (NYT $) 8 Resist the temptation to use AI to cheat at conversationsIt makes it much more difficult to forge a connection. (The Atlantic $) 9 Amazon wants San Francisco residents to ride its robotaxis for freeIt’s squaring up against Alphabet’s Waymo in the city for the first time. (CNBC)+ But its cars look very different to traditional vehicles. (LA Times $)+ Zoox is operating around 50 robotaxis across SF and Las Vegas. (The Verge) 10 TikTok’s new setting allows you to filter out AI-generated clipsFarewell, sweet slop. (TechCrunch)+ How do AI models generate videos? (MIT Technology Review) Quote of the day
“The rapids of social media rush along so fast that the Court has never even stepped into the same case twice.” —Judge James Boasberg, who rejected the Federal Trade Commission’s claim that Meta had created an illegal social media monopoly, acknowledges the law’s failure to keep up with technology, Politico reports. One more thing
Namibia wants to build the world’s first hydrogen economyFactories have used fossil fuels to process iron ore for three centuries, and the climate has paid a heavy price: According to the International Energy Agency, the steel industry today accounts for 8% of carbon dioxide emissions.But it turns out there is a less carbon-­intensive alternative: using hydrogen. Unlike coal or natural gas, which release carbon dioxide as a by-product, this process releases water. And if the hydrogen itself is “green,” the climate impact of the entire process will be minimal. HyIron, which has a site in the Namib desert, is one of a handful of companies around the world that are betting green hydrogen can help the $1.8 trillion steel industry clean up its act. The question now is whether Namibia’s government, its trading partners, and hydrogen innovators can work together to build the industry in a way that satisfies the world’s appetite for cleaner fuels—and also helps improve lives at home. Read the full story. —Jonathan W. Rosen We can still have nice things A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line or skeet ’em at me.+ This art installation in Paris revolves around porcelain bowls clanging against each other in a pool of water—it’s oddly hypnotic.+ Feeling burnt out? Get down to your local sauna for a quick reset.+ New York’s subway system is something else.+ Your dog has ancient origins. No, really!