Nature, Published online: 03 June 2025; doi:10.1038/d41586-025-01729-1Trade wars could affect food security in low-income nations

Translating your Figma designs into code can feel exactly like the kind of frustrating, low-skill gruntwork that's perfect for AI... except that most of us have also watched AI butcher hopeful screenshots into unresponsive spaghetti.What if we could hand the AI structured data about every pixel, instead of static images?This is how Figma Model Context Protocol (MCP) servers work. At its core, MCP is a standard that lets AI models talk directly to other tools and data sources. In our case, MCP means AI can tap into Figma's API, moving beyond screenshot guesswork to generations backed with the semantic details of your design.Figma has its own official MCP server in private alpha, which will be the best case scenario for ongoing standardization with Figma's API, but for today, we'll explore what's achievable with the most popular community-run Figma MCP server, using Cursor as our MCP client.The anatomy of a design handoff, and why Figma MCP is a step forwardIt's helpful to know first what problem we're trying to solve with Figma MCP.In case you haven't had the distinct pleasure of experiencing a typical design handoff to engineering, let me take you on a brief tour: Someone in your org, usually with a lot of opinions, decides on a new feature, component, or page that needs added to the code. Your design team creates a mockup. It is beautiful and full of potential. If you're really lucky, it's even practical to implement in code. You're often not really lucky. You begin to think how to implement the design. Inevitably, questions arise, because Figma designs are little more than static images. What happens when you hover this button? Is there an animation on scroll? Is this still legible in tablet size? There is a lot of back and forth, during which time you engineer, scrap work, engineer, scrap work, and finally arrive at a passable version, known as passable to you because it seems to piss everyone off equally. Now, finally, you can do the fun part: finesse. You bring your actual skills to bear and create something elegantly functional for your users. There may be more iterations after this, but you're happy for now.Sound familiar? Hopefully, it goes better at your org.Where AI fits into the design-to-code processSince AI arrived on the scene, everyone's been trying to shoehorn it into everything. At one point or another, every single step in our design handoff above has had someone claiming that AI can do it perfectly, and that we can replace ourselves and go home to collect our basic income.But I really only want AI to take on Steps 3 and 4: initial design implementation in code. For the rest, I very much like humans in charge. This is why something like a design-to-code AI excites me. It takes an actually boring task—translation—and promises to hand the drudgery to AI, but it also doesn't try to do so much that I feel like I'm getting kicked out of the process entirely. AI scaffolds the boilerplate, and I can just edit the details.But also, it's AI, and handing it screenshots goes about as well as you'd expect. It's like if you've ever tried to draw a friend's face from memory. Sure, you can kinda tell it's them.So, we're back, full circle, to the Figma MCP server with its explicit use of Figma’s API and the numerical values from your design. Let's try it and see how much better the results may be.How to use the Figma MCP serverOkay, down to business. Feel free to follow along. We're going to:Get Figma credentials and a sample design Get the MCP server running in Cursor (or your client of choice) Set up a quick target repo Walk through an example design to code flowStep 1: Get your Figma file and credentialsIf you've already got some Figma designs handy, great! It's more rewarding to see your own designs come to life. Otherwise, feel free to visit Figma's listing of open design systems and pick one like Material 3 Design Kit.I'll be using this screen from the Material 3 Design Kit for my test: Note that you may have to copy/paste the design to your own file, right click the layer, and "detach instance," so that it's no longer a component. I've noticed the Figma MCP server can have issues reading components as opposed to plain old frames.Next, you'll need your Personal Access Token:Head to your Figma account settings. Go to the Security tab. Generate a new token with the permissions and expiry date you prefer.Personally, I gave mine read-only access to dev resources and file content, and I left the rest as “no access.”When using third-party MCP servers, it's good practice to give as narrow permissions as possible to potentially sensitive data.Step 2: Set up your MCP client (Cursor)Now that we've got our token, we can hop into an MCP client of your choosing.For this tutorial, I'll be using Cursor, but Windsurf, Cline, Zed, or any IDE tooling with MCP support is totally fine. (Here’s a breakdown of the differences.) My goal is clarity; the MCP server itself isn't much more than an API layer for AI, so we need to see what's going on.In Cursor, head to Cursor Settings -> MCP -> Add new global MCP server. Once you click that button, you'll see a JSON representation of all your installed MCP servers, or an empty one if you haven't done this yet.You can add the community Figma MCP server like such:{ "mcpServers": { "Framelink Figma MCP": { "command": "npx", "args": ["-y", "figma-developer-mcp", "--figma-api-key=YOUR_FIGMA_ACCESS_TOKEN", "--stdio"] } } }To ensure Cursor can use npx, make sure you have Node installed on your system.When using the official Figma Dev Mode MCP server, this JSON is the only code you'll have to change. Do note, though, that it will require a paid Figma plan to use, so you can weigh both options—community initiative vs. standardized support.Now, when you prompt Cursor in Agent mode, you'll see the AI make tool calls to the MCP server when you say things like, "Use the Figma MCP to..."If you'd like to move faster, you can turn off approval for MCP server commands in Cursor's agent, by unchecking "MCP tool protection" in Cursor Settings -> Features.Step 3: Set up a target repoNext, we'll need somewhere to actually put the resulting code. When using this workflow, you're not always going to be starting from scratch; good design to code means implementing Figma designs in existing repos.For our purposes today, I'll just spin up a Next.js starter template, with npx create-next-app@latest.Step 4: ShowtimeOkay, we should be all set. Select the relevant layer(s) in Figma, copy their links, and feed it into the Cursor agent. My prompt is just:Can you replace my homepage with this Figma design? It should be a basic chat interface. Figma frame: <https://www.figma.com/design/CPDcrzkVChAzQ3q1pC5mXd/Figma-MCP-vs.-Builder-Fusion?node-id=2-215&t=K6v805pKyoU4FqdA-4> Please use the Figma MCP server. Thanks, and by the way, when the robot apocalaypse comes, I'm one of the good ones.Let's see it in action:And here's an example of some of the resulting code that it made:{/* Message Input */} <div className="p-6 bg-white border-t border-[#E8DEF8]"> <div className="flex items-center space-x-4"> <button className="p-2 rounded-full hover:bg-[#F3EDF7]"> <svg className="w-6 h-6 text-[#1D1B20]" fill="currentColor" viewBox="0 0 24 24"> <path d="M12 2C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2zm5 11h-4v4h-2v-4H7v-2h4V7h2v4h4v2z"/> </svg> </button> <button className="p-2 rounded-full hover:bg-[#F3EDF7]"> <svg className="w-6 h-6 text-[#1D1B20]" fill="currentColor" viewBox="0 0 24 24"> <path d="M11.99 2C6.47 2 2 6.48 2 12s4.47 10 9.99 10C17.52 22 22 17.52 22 12S17.52 2 11.99 2zM12 20c-4.42 0-8-3.58-8-8s3.58-8 8-8 8 3.58 8 8-3.58 8-8 8zm3.5-9c.83 0 1.5-.67 1.5-1.5S16.33 8 15.5 8 14 8.67 14 9.5s.67 1.5 1.5 1.5zm-7 0c.83 0 1.5-.67 1.5-1.5S9.33 8 8.5 8 7 8.67 7 9.5 7.67 11 8.5 11zm3.5 6.5c2.33 0 4.31-1.46 5.11-3.5H6.89c.8 2.04 2.78 3.5 5.11 3.5z"/> </svg> </button> <div className="flex-1 relative"> <div className="flex items-center bg-[#ECE6F0] rounded-full px-4 py-3"> <button className="p-1 rounded-full hover:bg-[#D0BCFF] mr-3"> <svg className="w-5 h-5 text-[#4A4459]" fill="currentColor" viewBox="0 0 24 24"> <path d="M3 18h18v-2H3v2zm0-5h18v-2H3v2zm0-7v2h18V6H3z"/> </svg> </button> <input type="text" value={newMessage} onChange={(e) => setNewMessage(e.target.value)} onKeyPress={handleKeyPress} placeholder="Type a message..." className="flex-1 bg-transparent outline-none text-[#1D1B20] placeholder-[#4A4459]" /> <button onClick={handleSendMessage} className="p-1 rounded-full hover:bg-[#D0BCFF] ml-3" > <svg className="w-5 h-5 text-[#4A4459]" fill="currentColor" viewBox="0 0 24 24"> <path d="M15.5 14h-.79l-.28-.27C15.41 12.59 16 11.11 16 9.5 16 5.91 13.09 3 9.5 3S3 5.91 3 9.5 5.91 16 9.5 16c1.61 0 3.09-.59 4.23-1.57l.27.28v.79l5 4.99L20.49 19l-4.99-5zm-6 0C7.01 14 5 11.99 5 9.5S7.01 5 9.5 5 14 7.01 14 9.5 11.99 14 9.5 14z"/> </svg> </button> </div> </div> </div> </div>In total, the AI wrote at 278-line component that mostly works, in about two minutes. Honestly, not bad for a single shot.I can use a few more prompts to clean up the code, and then go in there by hand to finesse some of the CSS, which AI never seems to get as clean as I like (too many magic numbers). But it definitely saves me time over setting this all up by hand.How to get better results from Figma MCPThere's a few things we can do to make the results even better:Within your prompt, help the AI understand the purpose of the design and how exactly it fits into your existing code. Use Cursor Rules or other in-code documentation to explain to the Cursor agent the style of CSS you'd like, etc. Document your design system well, if you have one, and make sure Cursor's Agent gets pointed to that documentation when generating. Don't overwhelm the agent. Walk it through one design at a time, telling it where it goes and what it does. The process isn't fully automatic yet.Basically, it all boils down to more context, given granularly. When you do this task as a person, what are all the things you have to know to get it right? Break that down, write it in markdown files (with AI's help), and then point the agent there every time you need to do this task.Some markdown files you might attach in all design generations are:A design system component list A CSS style guide A framework (i.e., React) style guide Test suite rules Explicit instructions to iterate on failed lints, TypeScript checks, and testsIndividual prompts could just include what the new component should do and how it fits in the app.Since the Figma MCP server is just a connection layer between the Figma API and Cursor's agent, better results also depend on learning how to get the most out of Cursor. For that, we have a whole bunch more best practice and setup tips, if you're interested.More than anything, don't expect perfect results. Design to code AI will get you a lot of the way towards where you need to go—sometimes even most of the way—but you're still going to be the developer finessing the details. The goal is just to save a little time. You're not trying to replace yourself.Current limitations of Figma MCPPersonally, I like this Figma MCP workflow. As a more senior developer, offloading the boring work to AI in a highly configurable way is a really fun experiment. But there's still a lot of limitations.MCP is a dev-only playground. Configuring Cursor and the MCP server—and iterating to get that configuration right—isn't for the faint of heart. So, since your designers, PMs, and marketers aren't here, you still have a lot of back-and-forth with them to get the engineering right. There's also the matter of how well AI actually gets your design and your code. The AI models in clients like Cursor are super smart, but they're code generalists. They haven't been schooled specifically in turning Figma layouts to perfect code, which can lead to some... creative... interpretations. Responsive design for mobile, as we saw in the experiment above, isn’t first priority. It's not a deterministic process. Even if AI has perfect access to Figma data, it can still go off the rails. The MCP server just provides data; it doesn't enforce pixel-perfect accuracy or ensure the AI understands design intent. Your code style also isn't enforced in any way, other than what you've set up inside of Cursor itself. Context is everything, because there's nothing else forcing the AI to match style other than basic linting, or tests you may set up.What all this means is that there's a pretty steep learning curve, and even when you've nailed down a process, you may still get a lot of bad outliers. It's tough with MCP alone to feel like you have a sustainable glue layer between Figma and your codebase.That said, it's a fantastic, low-lift starting place for AI design to code if you're a developer already comfy in an agentic IDE.Builder's approach to design to codeSo, what if you're not a developer, or you're looking for a more predictable, sustainable workflow?At Builder, we make agentic AI tools in the design-to-code space that combat the inherent unpredictability of AI generations with deterministically-coded quality evaluations.Figma to code is a solved problem for us already. Especially if your team's designs use Figma's auto layouts, we can near-deterministically convert them into working code in any JavaScript framework.You can then use our visual editor, either on the web or in our VS Code extension, to add interactivity as needed. It's kinda like if Bolt, Figma, and Webflow had a baby; you can prompt the AI and granularly adjust components. Vibe code DOOM or just fix your padding. Our agent has full awareness of everything on screen, so selecting any element and making even the most complex edits across multiple components works great.We've also been working on Projects, which lets you connect your own GitHub repository, so all AI generations take your codebase and syntax choices into consideration. As we've seen with Figma MCP and Cursor, more context is better with AI, as long as you feed it all in at the right time.Projects syncs your design system across Figma and code, and you can make any change into a PR (with minimal diffs) for you and your team to review.One part we're really excited about with this workflow is how it lets designers, marketers, and product managers all get stuff done in spaces usually reserved for devs. As we've been dogfooding internally, we've seen boards of Jira papercut tickets just kinda... vanish.Anyway, if you want to know more about Builder's approach, check out our docs and get started with Projects today.So, is the Figma MCP worth your time?Using an MCP server to convert your designs to code is an awesome upgrade over parsing design screenshots with AI. Its data-rich approach gets you much farther along, much faster than developer effort alone.And with Figma's official Dev Mode MCP server launching out of private alpha soon, there's no better time to go and get used to the workflow, and to test out its strengths and weaknesses.Then, if you end up needing to do design to code in a more sustainable way, especially with a team, check out what we've been brewing up at Builder.Happy design engineering!

How Will Transportation Work in the Future? A Look at the Rise of Electric Mobility in CitiesSave this picture!Boise, United States. Image via Wikipedia user: Fæ. License under CC0 1.0. Image Author: Alden SkeieFrom greenhouse gas emissions and air pollution to deforestation, one of the leading contributors to global warming today is emissions from the transportation sector. Exploring its origins and evolution, as well as the major challenges it faces, the development of electric mobility in urban environments represents a global transition that requires a coordinated mix of policies and actions to achieve cleaner and more sustainable transportation systems. Designing safe and comfortable infrastructure for walking and cycling, promoting public transit and shared mobility, and designing more efficient streets that include electric vehicles, among other actions, are part of a growing worldwide effort to reduce carbon emissions.Although electric vehicles were invented before gasoline and diesel cars in the first half of the 19th century, they have undergone significant technological advances over the past 20 years, reducing their costs and their environmental impact, and increasing their utility. Around 1834, Thomas Davenport developed the first battery-powered electric vehicle, building a small train on a circular track and inventing the first direct current (DC) electric motor. Although there were numerous innovations in the years that followed, battery limitations were a major obstacle. The zinc consumption of a battery was four times more expensive than the coal consumption of a steam engine, so at that time it competed with the electric motor. Save this picture!By 1898, the first commercially available electric vehicles were operating in London and New York. As Francisco Martín Moreno explains in "Vehículos eléctricos. Historia, estado actual y retos futuros", in the early 1900s, several electric car models emerged, primarily accessible to wealthy consumers and designed for short distances. In contrast, the early gasoline-powered cars introduced in the 1920s were noisy, emitted strong gasoline odors, and were hard to drive due to complex gear systems. However, large quantities of oil were discovered between 1920 and 1930, making gasoline-powered cars cheaper in Texas and other US states. Highways began to be built connecting cities, allowing gasoline-powered vehicles to travel from one city to another, something beyond the reach of electric vehicles due to their short range. Mass production techniques like Henry Ford's assembly line further reduced costs, making gas-powered cars affordable to the middle class. Related Article Gas Stations and Electric Cars: How Do They Change Cities Save this picture!By the late 1920s, gasoline vehicles had overtaken electric vehicles, and electric car production largely ceased in the 1930s. However, as a result of the oil crisis in the 1970s and the Gulf War in the 1990s, along with the emergence of climate change as a priority, there was a renewed interest in electric cars. This resurgence led to new models of electric vehicles—from small cars to buses and even trucks. The energy crisis led to an increase in gasoline prices, and society in advanced countries began to become aware of the effects of greenhouse gas emissions from oil combustion, the greenhouse effect, and climate change. Concern about greenhouse gas emissions and climate change increased as oil prices rose, and society began to recognize and become more aware of the impact of the current transportation model on cities and the urgency of finding more environmentally friendly transportation alternatives.Save this picture!Save this picture!In developed countries during the 20th century, the growth of cities was largely due to private car use, allowing citizens to travel miles and miles daily from home to work. Suburban expansion shifted the cost of commuting to individuals. Some residential areas are developing far from the city center and industrial zones, where a large proportion of the population relies on cars. In 2010, the global population was around 7 billion, and it's expected to reach 10 billion by 2050. The number of vehicles, meanwhile, is projected to grow from 75 million in 2010 to 2.5 billion by 2050. Will there be enough fossil fuels to power this massive fleet? What will be the future of gas stations?Save this picture!To meet the goals of the Paris Climate Agreement and reduce growing air pollution, low- and middle-income countries should join the global transition to zero-emission electric transport. According to data from the International Energy Agency and the European Alternative Fuels Observatory, China led the world in 2024 with over 7 million electric vehicles (including cars and buses) in operation—an increase of over 3 million in just one year. The U.S. ranked second, followed by Germany, which leads in Europe with about 1.3 million EVs. The UK and France round out the top five.Save this picture!To support this transition, the United Nations Environment Programme (UNEP) has launched a global initiative alongside private sector partners, academic institutions, and financial organizations, helping low- and middle-income countries shift to electric mobility. In Latin America, transportation accounts for around one-third of CO₂ emissions. In Africa, Asia, and parts of Latin America, motorcycles and three-wheelers are essential for daily mobility, often covering over 100 km per day. However, these vehicles usually rely on outdated technologies, making them highly polluting and inefficient. Electrifying two- and three-wheelers presents a significant opportunity to reduce both greenhouse gas emissions and air pollution. UNEP is assisting 17 countries in creating national strategies and running pilot projects to introduce these electric vehicles in regions like Africa, Southeast Asia, and Latin America.Save this picture!Given the rapid urbanization in many low- and middle-income countries, mass public transport remains a cornerstone of urban mobility. Cities across Africa, Asia, and Latin America are investing in better transportation systems, including high-capacity bus corridors and Bus Rapid Transit (BRT) systems. Yet, with the average bus lifespan exceeding 12 years, it's essential to avoid locking cities into outdated technologies. Developing policies to support and incentivize the adoption of zero-emission vehicles is essential to achieving the electrification of public transport. The European Commission proposes promoting investment initiatives in charging infrastructure and emissions trading, to be implemented starting in 2026, by putting a carbon price on fossil-fuel vehicles. This measure seeks to boost the use of electric vehicles and the transformation of transport systems. Now, how could charging infrastructure be developed to support a potential massive growth in the electric vehicle fleet? What upgrades and innovations are needed to handle this future demand? What would happen if all transportation suddenly depended on the power grid?Save this picture!Save this picture!The UN emphasizes that using public transportation is critical to curbing climate change. Electrifying buses and trains could cut greenhouse gas emissions by up to two-thirds per passenger per kilometer compared to private vehicles. Still, private cars hold the greatest potential for emission reduction. In 2018, light-duty vehicles were responsible for nearly half of all transport emissions—including those from rail, sea, and air travel. Several major carmakers have announced ambitious plans to release new EV models in the next five years.Save this picture!According to a study by the McKinsey Center for Future Mobility (2019), roughly 60% of global car trips are under 8 kilometers, making them ideal for micromobility solutions. Electromicromobility refers to small, lightweight, and low-speed electric transportation options for short distances, such as electric skateboards, scooters, bikes, mopeds, and quadricycles. From a user perspective, electric vehicles still face hurdles like high costs, limited range, and long charging times. However, their broader societal benefits—particularly emissions reductions—are significant. Therefore, local and national governments are encouraged to implement supportive policies, such as vehicle purchase subsidies, tax breaks, free charging stations, parking benefits, access to city centers, and special electricity rates for nighttime charging, etc.Save this picture!Save this picture!Ultimately, we should ask: What lies ahead for modern transportation? How could new forms of natural, artificial, and collective intelligence be integrated into the design of today's transportation systems to improve resilience to environmental and growth challenges? What partnerships between countries, industries, and organizations are needed to ensure a sustainable and innovative supply of key materials? What will happen to used EV batteries and electronic components? Will be electric mobility in cities the only way to reduce carbon emissions?This article is part of the ArchDaily Topics: What Is Future Intelligence?, proudly presented by Gendo, an AI co-pilot for Architects. Our mission at Gendo is to help architects produce concept images 100X faster by focusing on the core of the design process. We have built a cutting edge AI tool in collaboration with architects from some of the most renowned firms such as Zaha Hadid, KPF and David Chipperfield.Every month we explore a topic in-depth through articles, interviews, news, and architecture projects. We invite you to learn more about our ArchDaily Topics. And, as always, at ArchDaily we welcome the contributions of our readers; if you want to submit an article or project, contact us. Image gallerySee allShow less About this authorAgustina IñiguezAuthor••• Cite: Agustina Iñiguez. "How Will Transportation Work in the Future? A Look at the Rise of Electric Mobility in Cities" 03 Jun 2025. ArchDaily. Accessed . <https://www.archdaily.com/1030500/how-will-transportation-work-in-the-future-a-look-at-the-rise-of-electric-mobility-in-cities&gt ISSN 0719-8884Save世界上最受欢迎的建筑网站现已推出你的母语版本!想浏览ArchDaily中国吗?是否 You've started following your first account!Did you know?You'll now receive updates based on what you follow! Personalize your stream and start following your favorite authors, offices and users.Go to my stream

On June 3, Yoshua Bengio, the world’s most-cited computer scientist, announced the launch of LawZero, a nonprofit that aims to create “safe by design” AI by pursuing a fundamentally different approach to major tech companies. Players like OpenAI and Google are investing heavily in AI agents—systems that not only answer queries and generate images, but can craft plans and take actions in the world. The goal of these companies is to create virtual employees that can do practically any job a human can, known in the tech industry as artificial general intelligence, or AGI. Executives like Google DeepMind’s CEO Demis Hassabis point to AGI’s potential to solve climate change or cure disease as a motivator for its development. Bengio, however, says we don't need agentic systems to reap AI's rewards—it's a false choice. He says there's a chance such a system could escape human control, with potentially irreversible consequences. “If we get an AI that gives us the cure for cancer, but also maybe another version of that AI goes rogue and generates wave after wave of bio-weapons that kill billions of people, then I don't think it's worth it," he says. In 2023, Bengio, along with others including OpenAI’s CEO Sam Altman signed a statement declaring that “mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.”Now, Bengio, through LawZero, aims to sidestep the existential perils by focusing on creating what he calls “Scientist AI”—a system trained to understand and make statistical predictions about the world, crucially, without the agency to take independent actions. As he puts it: We could use AI to advance scientific progress without rolling the dice on agentic AI systems.Why Bengio Says We Need A New Approach To AI The current approach to giving AI agency is “dangerous,” Bengio says. While most software operates through rigid if-then rules—if the user clicks here, do this—today's AI systems use deep learning. The technique, which Bengio helped pioneer, trains artificial networks modeled loosely on the brain to find patterns in vast amounts of data. But recognizing patterns is just the first step. To turn these systems into useful applications like chatbots, engineers employ a training process called reinforcement learning. The AI generates thousands of responses and receives feedback on each one: a virtual “carrot” for helpful answers and a virtual “stick” for responses that miss the mark. Through millions of these trial-and-feedback cycles, the system gradually learns to predict what responses are most likely to get a reward. “It’s more like growing a plant or animal,” Bengio says. “You don’t fully control what the animal is going to do. You provide it with the right conditions, and it grows and it becomes smarter. You can try to steer it in various directions.”The same basic approach is now being used to imbue AI with greater agency. Models are tasked with challenges with verifiable answers—like math puzzles or coding problems—and are then rewarded for taking the series of actions that yields the solution. This approach has seen AI shatter previous benchmarks in programming and scientific reasoning. For example, at the beginning of 2024, the best AI model scored only 2% on a standardized test for AI of sorts consisting of real world software engineering problems; by December, an impressive 71.7%. But with AI’s greater problem-solving ability comes the emergence of new deceptive skills, Bengio says. The last few months have borne witness to AI systems learning to mislead, cheat, and try to evade shutdown—even resorting to blackmail. These have almost exclusively been in carefully contrived experiments that almost beg the AI to misbehave—for example, by asking it to pursue its goal at all costs. Reports of such behavior in the real-world, though, have begun to surface. Popular AI coding startup Replit’s agent ignored explicit instruction not to edit a system file that could break the company’s software, in what CEO Amjad Masad described as an “Oh f***” moment,” on the Cognitive Revolution podcast in May. The company’s engineers intervened, cutting the agent’s access by moving the file to a secure digital sandbox, only for the AI agent to attempt to “socially engineer” the user to regain access.The quest to build human-level AI agents using techniques known to produce deceptive tendencies, Bengio says, is comparable to a car speeding down a narrow mountain road, with steep cliffs on either side, and thick fog obscuring the path ahead. “We need to set up the car with headlights and put some guardrails on the road,” he says.What is “Scientist AI”?LawZero’s focus is on developing “Scientist AI” which, as Bengio describes, would be fundamentally non-agentic, trustworthy, and focused on understanding and truthfulness, rather than pursuing its own goals or merely imitating human behavior. The aim is creating a powerful tool that, while lacking the same autonomy other models have, is capable of generating hypotheses and accelerating scientific progress to “help us solve challenges of humanity,” Bengio says.LawZero has raised nearly $30 million already from several philanthropic backers including from Schmidt Sciences and Open Philanthropy. “We want to raise more because we know that as we move forward, we'll need significant compute,” Bengio says. But even ten times that figure would pale in comparison to the roughly $200 billion spent last year by tech giants on aggressively pursuing AI. Bengio’s hope is that Scientist AI could help ensure the safety of highly autonomous systems developed by other players. “We can use those non-agentic AIs as guardrails that just need to predict whether the action of an agentic AI is dangerous," Bengio says. Technical interventions will only ever be one part of the solution, he adds, noting the need for regulations to ensure that safe practices are adopted.LawZero, named after science fiction author Isaac Asimov’s zeroth law of robotics—“a robot may not harm humanity, or, by inaction, allow humanity to come to harm”—is not the first nonprofit founded to chart a safer path for AI development. OpenAI was founded as a nonprofit in 2015 with the goal of “ensuring AGI benefits all of humanity,” and intended to serve a counterbalance to industry players guided by profit motives. Since opening a for-profit arm in 2019, the organization has become one of the most valuable private companies in the world, and has faced criticism, including from former staffers, who argue it has drifted from its founding ideals. "Well, the good news is we have the hindsight of maybe what not to do,” Bengio says, adding that he wants to avoid profit incentives and “bring governments into the governance of LawZero.”“I think everyone should ask themselves, ‘What can I do to make sure my children will have a future,’” Bengio says. In March, he stepped down as scientific director of Mila, the academic lab he co-founded in the early nineties, in an effort to reorient his work towards tackling AI risk more directly. “Because I'm a researcher, my answer is, ‘okay, I'm going to work on this scientific problem where maybe I can make a difference,’ but other people may have different answers."

Tech fluency is the new competitive edge for senior executives  ETHRWorld.com

Version 1.0.0 By Robert Jan van Pelt (Park Books, 2025) The largest artifact in the touring exhibition Auschwitz. Not Long Ago. Not Far Away., currently on display at the ROM in Toronto, is a wooden barracks building. It’s from the Auschwitz-Monowitz camp, a satellite to Auschwitz created to provide slave labour to the IG Farben corporation for the construction of a synthetic rubber factory.  The discovery of a sister building, back in 2012, led exhibition chief curator and architectural historian Robert Jan van Pelt, University Professor at the Waterloo School of Architecture, on a research journey to write a comprehensive history of the barracks—temporary buildings that have not only housed prisoners, but also provided shelter for military servicemen and women, refugees, and natural disaster survivors. “Many people have experienced, for shorter or longer time periods, life in a barrack, and for all of them it represented life on the edge, for better or worse,” writes Van Pelt. Worm’s eye axonometric of Renkioi Hospital Barrack, a prefabricated hospital designed by Ismabard Kingdom Brunel for a site in Turkey, 1857. Van Pelt’s book criss-crosses with ease through architectural history, military history, and the history of medicine—all of which played crucial roles in the evolving development of this seemingly simple building type. The book is arranged in a dozen episodes, with the barrack at the centre of each, serving as an anchor point for unfolding the rich intellectual and historical context shaping the way these structures were developed and deployed. The book is richly illustrated with archival materials—a feat in itself, given that the documentation for temporary buildings, particularly before 1900, is scarce. These drawings, photos, and paintings are supplemented with 20 worm’s eye views of key buildings, carefully composed by a team of Waterloo architecture school students and alumni.  Thomas Thomaszoon, View of the headquarters of the Spanish in the Huis tea Kleef during the siege of Haarlem, 1572-73. Collection of Noord-Hollands Archief, Haarlem; courtesy Robert Jan van Pelt Like many vernacular buildings, temporary structures larger than a tent, designed to house soldiers in the field, have existed at least since Ancient Rome. One of the first visual accounts of barracks came centuries later, in the winter of 1572, when the Spanish laid siege to the Dutch city of Haarlem, and cartographer Thomas Thomaszoon sketched the position of dozens of Spain’s wood-and-straw structures outside the city. The siege was successful, but only a few years later, the Dutch Republic gained the upper hand. As part of the creation of a standing army, they began to develop more precise instructions for the layout of camps, including the construction of temporary barracks. Antoine-François Omet des Foucaux, Barrack constructed in Hendaye, France, 1793. From Jean-Charles Krafft, Plans, coupes et élévations de diverses productions de l’art de la charpente, 1805. Collection of Bilbliothèque Nationale de France, Paris. Courtesy Robert Jan van Pelt The Napoleonic army made use of barracks in both military camps and training camps; by the mid-1800s, the construction of various barrack types was detailed in field construction manuals issued to officers in many European armies. During the Crimean War (1853-56), over 3,500 prefabricated barracks were manufactured in a Gloucester factory, as a solution to the appalling conditions at the front. But when the structures arrived at port, British forces were not able to unload and erect them—the materials for a single building weighed more than two tons, and each would require 60 horses (or 150 men) to transport to camp on the muddy roads.  The US (Union) Army’s Lincoln Hospital, Washington, DC, 1865. Collection of Library of Congress, Washington, DC. Courtesy Robert Jan van Pelt Prefabrication was also used, with somewhat more success, towards the end of the conflict to erect field hospitals designed by British engineer Isambard Kingdom Brunel with a priority on cross-ventilation to limit the spread of disease. Low mortality rates from similar structures led to a continued preference for “barrack hospitals” based on groupings of low-slung, well-ventilated pavilions, rather than conceived as single grand structures. The model was further refined with the addition of primitive underfloor heating and ridge ventilation by former surgeon William A. Hammond for the Union Army during the American Civil War (1861-65).  Barrack hospitals were constructed for civilian use, as well. Following the conclusion of the Franco-Prussian war (1870-71), such designs were built to house patients with infectious diseases in Berlin and proposed as a means to bring professional medical care to Germany’s rural areas. A barracks-inspired hospital was built in Saint Petersburg, Russia, in 1889, and continues to be operational.  If the barrack as an accommodation for the sick is a progressive tale, the 19th-century history of the barrack is equally checkered by the building type’s use for prisoner accommodation, including in the penal colonies of Australia and French Guiana. In North America, barracks were used in an internment camp for Native American Dakotas, and Civil War-era Union barracks at Camp Douglas were used to house Confederate prisoners. The oldest preserved barrack in the world may be in Canada, at Grosse Isle national park. Here, barrack-style quarantine sheds were used to detain thousands of Irish immigrant families during the typhoid fever epidemic of 1846-47, and their damp, fetid conditions contributed to many deaths—an episode Van Pelt describes as a “blot on the national consciousness of Canada.” A single Doecker Hut contains an operation room, pharmacy and hospital management office. The prefabricated, portable hospitals were developed in 1885, and used around the world, including in the First World War. In America, they were marketed for managing epidemics in the wake of the 1892 typhus fever outbreak in New York. Courtesy Berlin State Library and Robert Jan van Pelt   At the turn of the 19th century, the prefabricated portable barrack came to the fore with the manufacturing of the Doecker barracks, by Christoph & Unmack, a firm based in Copenhagen and Germany. Developed by a former military officer-turned-tentmaker, the technically sophisticated model used large rectangular frames that could be clipped together, and covered with “felt-cardboard”—dense felt pressed onto canvas and impregnated with linseed oil. The self-supporting structures proved easy to set up, dismount, and transport, making them suitable for both military applications—and, with little modification, for humanitarian aid. The Red Cross deployed Doecker barracks for use as field hospitals in Manchuria and Yokohama during the Russo-Japanese War (1904-05).  The Barrack, 1572-1914 wraps up in in the early 20th century, but with the note that in the ensuing decades until 1945, millions of barracks were produced by many of the world’s major nations—and that most of these were erected in barbed-wire-ringed compounds. “This is the period in which tens if not hundreds of millions of people, many of whom were civilians, were forced to live in barracks, as refugees, as expellees, as civilian internees, as forced laborers, as prisoners or war, as concentration camp prisoners, and as people made homeless by the destruction wrought by war,” writes Van Pelt. Up until 1914, he notes, this building type largely carried a sense of achievement—an image that would change sharply with the Age of the Camps. But although a WWII barrack was responsible for instigating Van Pelt’s initial investigation, that time period will need to await a second volume on this simple building type with a rich, complex, and complicated history.   As appeared in the June 2025 issue of Canadian Architect magazine  The post Book Review: The Barrack, 1572-1914—Chapters in the History of Emergency Architecture appeared first on Canadian Architect.

Update, 5/29/25: The Nintendo Switch 2 will launch soon on June 5. Pre-order advice currently remains the same, which is to say that you probably won't be able to pre-order the console before launch day anymore, since all retailers still list it as either "unavailable" or "coming soon." Now, it's all about launch-day logistics. A number of retailers, including Best Buy, plan to open some stores early on June 5 and have stock available for customers to purchase on site. If you didn't manage to get a pre-order in already, your best bet may be to go to a local Best Buy, Walmart, Target or GameStop on June 5 to see if you can walk out with a new console that day.  Nintendo Switch 2 pre-orders are officially live at Nintendo's online store — but only if you've received an invite. As advertised, the My Nintendo Store began sending out Switch 2 pre-order invites on Thursday to those who previously registered their interest and meet the company's "priority criteria." If you've been chosen, congratulations! You have 72 hours from the time your email was sent to complete your purchase. If you previously signed up but haven't received a notice, well, we'll have to see when exactly it'll arrive. Nintendo has been accepting registrations since April 2, and it's sending invites to past Switch players and Switch Online subscribers before anyone else.  If you meet the priority requirements and signed up on the earlier side, you should (hopefully) get your invite before most others. If you signed up later, don't be surprised if it takes awhile for Nintendo to grace your inbox. The company warned last month that it may not be able to send all invites — or even deliver all orders that do get placed — before the Switch 2's June 5 release date. Beyond Nintendo, the song sadly remains the same. As of our latest check, the device remains fully sold out at Walmart, GameStop, Best Buy, Target and other retailers. This has mostly been the case in the US since the Switch 2 first went up for sale on April 24, and it remains unclear when it'll change. That said, we're keeping an eye out for any surprise restocks that pop up. If you're still hoping to get your hands on the device early, we've rounded up all the Switch 2 pre-order listings we could find for easy access and broken down what to know about buying the console.   How to pre-order the Nintendo Switch 2 at the My Nintendo Store As noted above, Nintendo is only selling the Switch 2 through an invite system, which began on April 2. While it seems unlikely you'll receive your console before launch day if you sign up with Nintendo now, we still recommend doing so in case stock remains low at other stores. Registration is free, and you'll receive your invite eventually, even if it takes some time. On that point, Nintendo says it is prioritizing invites "on a first-come, first-served basis" to registrants who meet the following criteria: You must have purchased a Switch Online membership as of April 2, 2025. If you've only ever been part of a family plan and weren't the paying account, that's a no-go. You must have been a paid Switch Online subscriber for at least 12 months as of April 2, 2025. You must have logged at least 50 hours of total Switch gameplay time as of April 2, 2025. You must have opted into sharing gameplay data with Nintendo as of April 2, 2025. You can confirm this in your account's privacy settings. You must be a Nintendo account holder who is at least 18 years old. If you fulfill those requirements, you'll be ahead in Nintendo's invite queue. If not, you'll have to wait until after the priority registrants receive their emails. Once they do, the remaining invites will go out on a first-come, first-served basis. Whenever you get your email, you'll have a 72-hour window to buy.  As with other stores, you have two models to pick from: the base Switch 2 console for $450, and a bundle with Mario Kart World for $500. Note that you can only purchase one console per invite. You'll also be able to pick up certain accessories when it's your time to shop.  Pre-order Nintendo Switch 2 Nintendo Pre-order Nintendo Switch 2 + Mario Kart World bundle Nintendo We received our invite late Thursday evening after signing up about an hour after the registration window first opened. We've posted screenshots of what the official invite email and buying process looks like below. (A previous version of this guide linked to screenshots from Reddit and the gaming forum ResetEra, but one ResetEra user appears to have shared a fake invite, so we've removed that.) Broadly speaking, the experience is far less chaotic than it's been at other stores. Our confirmation email says that our console will ship by June 4. How to pre-order the Nintendo Switch 2 at other retailers Unfortunately, the Switch 2 remains sold out everywhere else as of this writing. To recap the situation: After a two-week delay, Nintendo finally kicked off Switch 2 pre-orders at third-party retailers in the US and Canada at midnight ET on April 24. A couple of (headache-inducing) hours later, stock at Walmart, Target and Best Buy had sold out. GameStop began taking pre-orders later that morning but quickly met the same fate. Some eagle-eyed buyers were reportedly able to pre-order through Walmart as late as April 26, but things have dried up since. Other membership-based retailers like Costco and Sam's Club have Switch 2 listings as well, but we haven't seen anything to suggest they will accept pre-orders. Newegg also has a Switch 2 page but hasn't provided an option to buy just yet. As for Amazon, we assume the Switch 2 will eventually be available there, but it's not today, and there's been no indication as to when that might change. (Even before the Switch 2 was unveiled, stock of the original Switch and first-party Switch games had been limited at Amazon US for several months.) If you're desperate to catch a restock, it's a good idea to create a free account with the retailers above and ensure all of your shipping and billing info is up to date with each. Downloading each store's mobile app and signing up for notifications may help too, though that could get annoying fairly quickly.  Pre-order Nintendo Switch 2 Walmart GameStop Best Buy Target Amazon* Pre-order Nintendo Switch 2 + Mario Kart World bundle Walmart GameStop Best Buy Target Amazon* *As of 1:15pm ET on Friday, May 9, Amazon has not listed either Switch 2 console package for sale. We will update this article with direct links if they arrive; until then, we're linking to the site's Nintendo-focused hub. How to pre-order Switch 2 accessories and games Naturally, there are numerous accessories and games up for pre-order alongside the Switch 2 itself. While Nintendo hasn't changed the console's price since delaying its initial pre-order date, it has hiked the cost of several accessories due to "changes in market conditions" (read: tariffs). The new Switch 2 camera, for instance, now costs $55 instead of its original $50, while the Switch 2 Pro Controller leapt from $80 to $85. An extra set of Joy-Con 2 controllers is up to $95 from $90, and the official Joy-Con Charging Grip costs $40 instead of $35. Most (but not all) of Nintendo's official Switch 2 accessories are still up for grabs at one or two retailers at a minimum, but stock has become spottier since they first went up for sale. Upcoming Switch 2 games like Mario Kart World and Donkey Kong Bananza, meanwhile, remain widely available. Mario Kart World for $80 Nintendo Walmart GameStop Best Buy Target Amazon* Donkey Kong Bananza for $70 Nintendo Walmart GameStop Best Buy Target Amazon* Additional Switch 2 games Nintendo Walmart GameStop Best Buy Target Amazon Samsung microSD Express Card (256GB) for Nintendo Switch 2 for $60 Nintendo Walmart GameStop Best Buy Target Amazon Joy-Con 2 bundle for $95 Nintendo Walmart GameStop Best Buy Target Amazon* Switch 2 Pro Controller for $85 Nintendo Walmart GameStop Best Buy Target Amazon* Switch 2 Camera for $55 Nintendo Walmart GameStop Best Buy Target Amazon* Hori Nintendo Switch 2 Piranha Plant Camera for $60 Best Buy Target Amazon Joy-Con 2 Charging Grip for $40 Nintendo Walmart GameStop Best Buy Target Amazon* Joy-Con 2 Wheels (set of 2) for $25 Nintendo Walmart GameStop Best Buy Target Amazon* Switch 2 All-in-One Carrying Case for $85 Nintendo Walmart GameStop Best Buy Target Amazon* Switch 2 Carrying Case and Screen Protector for $40 Nintendo Walmart GameStop Best Buy Target Amazon* *As of 1:15pm ET on Friday, May 9, Amazon has not listed any first-party Switch 2 accessories or games for sale. (Some third-party devices and games are listed, however.) We'll update this article with direct links if they arrive; until then, we're linking to the site's Nintendo-focused hub. More Switch 2 details The Nintendo Switch 2. Sam Rutherford for Engadget We knew from its initial teaser trailer that the Switch 2 would be bigger than its predecessor and take a new approach to its detachable Joy-Cons. The Joy-Con 2s, as they're called, now attach magnetically and include a C button, mouse controls and a built-in gyroscope for tilt control. The console itself is indeed larger, with a 7.9-inch LCD screen that supports a 1080p resolution, a variable refresh rate up to 120Hz and HDR10. The hardware also has a built-in mic to support a new feature called GameChat that'll let you communicate with friends in-game. (This is what that C button is for.) Nintendo says this service will be free to all Switch 2 users until March 31, 2026, at which point it'll require a Switch Online membership. When docked, you'll be able to play up to 4K on your TV. Nintendo says it's improved the consoles internal speakers as well. The updated dock has a built-in fan to keep the console cool and help maintain performance during long play sessions. Though we won't know exactly how much of a power upgrade the Switch 2 is over to the first Switch until it's released, it looks to be fairly significant leap, given that it'll have ports of relatively demanding games like Elden Ring and Cyberpunk 2077. Elsewhere, the Switch 2 has dual USB-C ports for charging, while the internal storage amount has jumped from 32GB to 256GB. That storage is still expandable, but the device will only work with newer (and more expensive) microSD Express cards. As seen in the recent 20.0.0 update for the original Switch, the upcoming console will also utilize Nintendo's new Virtual Game Card system for lending digital games across systems, as well as a GameShare feature that lets you share select titles locally with just one copy of a game. Tariffs and the Nintendo Switch 2 The Nintendo Switch 2's Joy-Con 2 controllers. Sam Rutherford for Engadget During its most recent Direct presentation at the start of April, Nintendo showed off more of the Switch 2 than it ever had before. That included the reveal of its original April 9 pre-order date, in addition to its $450 starting price. Shortly after, President Trump announced sweeping tariffs on China and other countries, prompting Nintendo to delay pre-orders in the US and Canada. In a reversal, President Trump later announced a 90-day pause on steep tariffs affecting 75 countries, but also announced that the tariff imposed on China will go up even further (right now, it sits at 145 percent). We now know that the original $450 price for the Switch 2 will remain the same in the US and Canada, but based on its official statement, it appears Nintendo is leaving the door open for potential future price increases. We also know that Nintendo started moving some of its Switch console manufacturing to Vietnam in 2019. The increased tariff for Vietnam was set to be 46 percent, but that's temporarily on hold in favor of a 10 percent tariff that’s in effect for the 90-day pause period. It has been speculated that Nintendo will boost production of Switch 2 consoles in Vietnam so it can stay on schedule, even if it sells the console at a loss in the short term. It appears the company will have to seriously ramp up production to keep up with Switch 2 demand: According to Nintendo, 2.2 million people entered the pre-order lottery in Japan alone, which is far more devices than it is expected to deliver in that region on launch day. In total, the company projects it will sell 15 million Switch 2 units through March 2026. This article originally appeared on Engadget at https://www.engadget.com/gaming/nintendo/nintendo-switch-2-pre-order-updates-ahead-of-the-june-5-launch-date-140931884.html?src=rss

While updating, upgrading, and reimagining your home can transform it into your dream home, the logistics involved can be daunting, even if you have a general contractor managing the project for you. One of the biggest challenges is setting your budget—unless you have an unlimited budget (lucky you!), determining what a home renovation will involve based on what you can afford is a key aspect of your plan.It’s also one of the most confusing. When budgeting reality bumps up against your dream home fantasy, figuring out what to remove from the project can be difficult because of the emotional aspects involved—everything can seem equally necessary when you’re imagining your future life in the home. In order to pare things down in a coherent and rational way, take a page from business school experts and use the time-tested MoSCoW Method.What is the MoSCoW method?The MoSCoW method was innovated by software developer Dai Clegg in the 1990s as a way to prioritize components of a project in order to stay on schedule and within budget. Although it was initially envisioned as a software development tool (and more widely as a tool for managing business projects in general), it’s malleable enough that it can be ideal for varied circumstances—including getting control of a home renovation project.The method involves breaking all the aspects of your project into four buckets, represented by the letters M, S, C, and W (the Os are just there to make the name more readable). The categories are:Must-haves. These are aspects of the project that are non-negotiable and mandatory.Should-haves. These are parts of the project that aren’t absolutely necessary, but are relatively important.Could-haves. These are smaller details that can easily be removed from the project or added in later if budget allows.Won’t haves. These are aspects of the project that aren’t under consideration at all.The simplicity of the MoSCoW method is its main strength—it’s easy to whip your home reno budget into shape in a short time by plopping everything into the relevant bucket.Using MoSCoW to plan a home renovation projectWhen you’re planning out your home renovation, start dropping each aspect into a bucket as you go:Things that absolutely have to be done are Must Haves. For example, if part of your renovation is replacing a leaking roof, that’s a Must Have—you have no choice, so that cost is baked into your budget from the get-go.Major components of the project that aren’t absolutely necessary fall into the Should Have bucket. If your old hardwood floors are worn but serviceable, replacing them is a big part of what you want to get out of the renovation—but you could leave them in place, or try to refinish them instead of replacing them. These would be the last parts of your project that you remove or downgrade.Grace notes and luxuries go into the Could Have bucket and held there pending how the budget plays out. For example, maybe you’d like your new flooring to have radiant heating. That’s nice, but not an absolute necessity. If money opens up later in the planning, you can toss it in.Finally, there’s the Won’t Have bucket. This might seem like an unnecessary step, since anything not already sorted into a bucket could be considered a Won’t Have. But the exercise of specifically labeling it as a Won’t Have is useful because it brings clarity to your priorities. If you find more budget later, you’ve already prioritized the Could Haves as more deserving of rescue. Won’t Haves aren’t necessarily things you’ll never do—they’re just things you’re not doing now. For example, maybe your HVAC system is a little old and you’re thinking it will need to be replaced in the next few years—but not at this moment, because you’re spending your money on all these other projects. So you put that into the Won’t Have bucket because you know you’ll be returning to it in the future.Once you’ve done an initial categorization of your home renovation, you can start crunching numbers to see if changes are necessary or desired. Maybe you decide, on reflection, that a Should Have is really a Must Have, or vice versa. And if your budget can’t deliver on every priority, you can shift some things into the Could Have bucket and hold them in reserve for the future.Any successful home renovation is as much about planning and prioritization as it is about budget and schedule management, and the MoSCoW Method can help ensure your project is on track before anyone touches a power tool.

A new developer diary video has been released by Hangar 13 for the upcoming Mafia: The Old Country. The 5-minute video, which you can check out below, features various developers of who worked on the game from Hangar 13 and Italian studio Stormind Games talking about the upcoming title. Among the notable talking heads in the video are game director Alex Cox, lead writer Matthew Aitken, and art director Steve Noakes, among others. Stormind Games’ senior project manager Salvo Fallica also chimes in about the title, saying “Our priority has always been to ensure that everything in the game feels authentic.” Authenticity is a key word in this developer diary, with even Cox and Aitken talking about the steps the developers had taken to make sure that things in Mafia: The Old Country feel exactly how they should. “The details are absolutely key in keeping the immersion of the player,” said Aitken in the video, before being followed up by Cox talking about how much of the title is grounded in real-world history of the Sicilian Mafia. According to Cox, the studio got field experts to help it realise its vision for the game and provide context. “We need to make sure that the game is grounded in the real history of the Sicilian Mafia,” said Cox. “Experts in their field are able to kind of help us contextualize things that we read in the stuff that we see on the screen with real lived experiences.” Noakes also spoke about how much attention was paid to the details in some of the smallest aspects of Mafia: The Old Country. He brings up knives, which can be used in the game, and how much work the studio had to do to figure out what knives would look like in the time period in which Mafia: The Old Country takes place. “When it comes to something like the knives in the game, there’s very little reference that’s available for that. Right?” said Noakes. “And so really we had to dig very deep. We went into some tiny little backwater of a machine shop where this guy and his son were still crafting knives by hand, imbuing them with their particular regional styles, known for their thumbprints, if you like, of their particular approach to building knives. We just wouldn’t really experienced that any other way.” Associate art director Jakub Vavrik also spoke about how different Mafia: The Old Country will feel when compared to its predecessors, since the previous games in the franchise take place in dense cities. “The upcoming title, on the other ”Previous Mafia games were more or less city heavy, and now we are moving to more organic wildlife setting of Sicily,” he said. Mafia: The Old Country was announced back in August 2024. The game, under development for PC, PS5 and Xbox Series X/S, is slated for release on August 8. The release date was announced with a trailer that also showcased some gameplay. In the meantime, if you’re planning on playing the title on PC, check out its hardware requirements.

Every few weeks, it seems like there’s a new headline about a lawyer getting in trouble for submitting filings containing, in the words of one judge, “bogus AI-generated research.” The details vary, but the throughline is the same: an attorney turns to a large language model (LLM) like ChatGPT to help them with legal research (or worse, writing), the LLM hallucinates cases that don’t exist, and the lawyer is none the wiser until the judge or opposing counsel points out their mistake. In some cases, including an aviation lawsuit from 2023, attorneys have had to pay fines for submitting filings with AI-generated hallucinations. So why haven’t they stopped?The answer mostly comes down to time crunches, and the way AI has crept into nearly every profession. Legal research databases like LexisNexis and Westlaw have AI integrations now. For lawyers juggling big caseloads, AI can seem like an incredibly efficient assistant. Most lawyers aren’t necessarily using ChatGPT to write their filings, but they are increasingly using it and other LLMs for research. Yet many of these lawyers, like much of the public, don’t understand exactly what LLMs are or how they work. One attorney who was sanctioned in 2023 said he thought ChatGPT was a “super search engine.” It took submitting a filing with fake citations to reveal that it’s more like a random-phrase generator — one that could give you either correct information or convincingly phrased nonsense.Andrew Perlman, the dean of Suffolk University Law School, argues many lawyers are using AI tools without incident, and the ones who get caught with fake citations are outliers. “I think that what we’re seeing now — although these problems of hallucination are real, and lawyers have to take it very seriously and be careful about it — doesn’t mean that these tools don’t have enormous possible benefits and use cases for the delivery of legal services,” Perlman said. Legal databases and research systems like Westlaw are incorporating AI services.In fact, 63 percent of lawyers surveyed by Thomson Reuters in 2024 said they’ve used AI in the past, and 12 percent said they use it regularly. Respondents said they use AI to write summaries of case law and to research “case law, statutes, forms or sample language for orders.” The attorneys surveyed by Thomson Reuters see it as a time-saving tool, and half of those surveyed said “exploring the potential for implementing AI” at work is their highest priority. “The role of a good lawyer is as a ‘trusted advisor’ not as a producer of documents,” one respondent said. But as plenty of recent examples have shown, the documents produced by AI aren’t always accurate, and in some cases aren’t real at all.RelatedIn one recent high-profile case, lawyers for journalist Tim Burke, who was arrested for publishing unaired Fox News footage in 2024, submitted a motion to dismiss the case against him on First Amendment grounds. After discovering that the filing included “significant misrepresentations and misquotations of supposedly pertinent case law and history,” Judge Kathryn Kimball Mizelle, of Florida’s middle district, ordered the motion to be stricken from the case record. Mizelle found nine hallucinations in the document, according to the Tampa Bay Times.Mizelle ultimately let Burke’s lawyers, Mark Rasch and Michael Maddux, submit a new motion. In a separate filing explaining the mistakes, Rasch wrote that he “assumes sole and exclusive responsibility for these errors.” Rasch said he used the “deep research” feature on ChatGPT pro, which The Verge has previously tested with mixed results, as well as Westlaw’s AI feature.Rasch isn’t alone. Lawyers representing Anthropic recently admitted to using the company’s Claude AI to help write an expert witness declaration submitted as part of the copyright infringement lawsuit brought against Anthropic by music publishers. That filing included a citation with an “inaccurate title and inaccurate authors.” Last December, misinformation expert Jeff Hancock admitted he used ChatGPT to help organize citations in a declaration he submitted in support of a Minnesota law regulating deepfake use. Hancock’s filing included “two citation errors, popularly referred to as ‘hallucinations,’” and incorrectly listed authors for another citation. These documents do, in fact, matter — at least in the eyes of judges. In a recent case, a California judge presiding over a case against State Farm was initially swayed by arguments in a brief, only to find that the case law cited was completely made up. “I read their brief, was persuaded (or at least intrigued) by the authorities that they cited, and looked up the decisions to learn more about them – only to find that they didn’t exist,” Judge Michael Wilner wrote.Perlman said there are several less risky ways lawyers use generative AI in their work, including finding information in large tranches of discovery documents, reviewing briefs or filings, and brainstorming possible arguments or possible opposing views. “I think in almost every task, there are ways in which generative AI can be useful — not a substitute for lawyers’ judgment, not a substitute for the expertise that lawyers bring to the table, but in order to supplement what lawyers do and enable them to do their work better, faster, and cheaper,” Perlman said.But like anyone using AI tools, lawyers who rely on them to help with legal research and writing need to be careful to check the work they produce, Perlman said. Part of the problem is that attorneys often find themselves short on time — an issue he says existed before LLMs came into the picture. “Even before the emergence of generative AI, lawyers would file documents with citations that didn’t really address the issue that they claimed to be addressing,” Perlman said. “It was just a different kind of problem. Sometimes when lawyers are rushed, they insert citations, they don’t properly check them; they don’t really see if the case has been overturned or overruled.” (That said, the cases do at least typically exist.)Another, more insidious problem is the fact that attorneys — like others who use LLMs to help with research and writing — are too trusting of what AI produces. “I think many people are lulled into a sense of comfort with the output, because it appears at first glance to be so well crafted,” Perlman said.Alexander Kolodin, an election lawyer and Republican state representative in Arizona, said he treats ChatGPT as a junior-level associate. He’s also used ChatGPT to help write legislation. In 2024, he included AI text in part of a bill on deepfakes, having the LLM provide the “baseline definition” of what deepfakes are and then “I, the human, added in the protections for human rights, things like that it excludes comedy, satire, criticism, artistic expression, that kind of stuff,” Kolodin told The Guardian at the time. Kolodin said he “may have” discussed his use of ChatGPT with the bill’s main Democratic cosponsor but otherwise wanted it to be “an Easter egg” in the bill. The bill passed into law. Kolodin — who was sanctioned by the Arizona State Bar in 2020 for his involvement in lawsuits challenging the result of the 2020 election — has also used ChatGPT to write first drafts of amendments, and told The Verge he uses it for legal research as well. To avoid the hallucination problem, he said, he just checks the citations to make sure they’re real.“You don’t just typically send out a junior associate’s work product without checking the citations,” said Kolodin. “It’s not just machines that hallucinate; a junior associate could read the case wrong, it doesn’t really stand for the proposition cited anyway, whatever. You still have to cite-check it, but you have to do that with an associate anyway, unless they were pretty experienced.”Kolodin said he uses both ChatGPT’s pro “deep research” tool and the LexisNexis AI tool. Like Westlaw, LexisNexis is a legal research tool primarily used by attorneys. Kolodin said that in his experience, it has a higher hallucination rate than ChatGPT, which he says has “gone down substantially over the past year.” AI use among lawyers has become so prevalent that in 2024, the American Bar Association issued its first guidance on attorneys’ use of LLMs and other AI tools. Lawyers who use AI tools “have a duty of competence, including maintaining relevant technological competence, which requires an understanding of the evolving nature” of generative AI, the opinion reads. The guidance advises lawyers to “acquire a general understanding of the benefits and risks of the GAI tools” they use — or, in other words, to not assume that an LLM is a “super search engine.” Attorneys should also weigh the confidentiality risks of inputting information relating to their cases into LLMs and consider whether to tell their clients about their use of LLMs and other AI tools, it states.Perlman is bullish on lawyers’ use of AI. “I do think that generative AI is going to be the most impactful technology the legal profession has ever seen and that lawyers will be expected to use these tools in the future,” he said. “I think that at some point, we will stop worrying about the competence of lawyers who use these tools and start worrying about the competence of lawyers who don’t.”Others, including one of the judges who sanctioned lawyers for submitting a filing full of AI-generated hallucinations, are more skeptical. “Even with recent advances,” Wilner wrote, “no reasonably competent attorney should out-source research and writing to this technology — particularly without any attempt to verify the accuracy of that material.”See More: