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When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. WhatsApp beta users can now craft their own AI chatbots - here's why you might want one Paul Hill Neowin @ziks_99 · Jun 3, 2025 05:10 EDT Since the end of 2022, tech companies, and even non-tech companies, have been clamoring to pile AI into their services. Despite what many people say about not liking AI, plenty of people are still using it every day, making it a key offering. Not only that, but for public companies like Meta, the inclusion of AI does very well with investors, so that’s another reason it’s being added. While the most common chatbot people talk about is ChatGPT, which is pretty faceless, there is demand for AI chatbots with a face, this is why people use tools like Character.ai and Replika. One of the only big tech firms that has gone down this route is Meta, which lets you create and share AI characters. To date, some of Meta’s apps, like Messenger, allow you to chat with these AI personas but you can’t do that yet in the stable version of WhatsApp. The company is now testing it with the Android Beta and when it’s ready, it should make a more seamless experience across Meta’s applications. Many of the popular bots that people use including ChatGPT, Gemini, and DeepSeek are faceless and offer the same tone out of the box. To be fair to Gemini, it does allow all users to create Gems now, and they actually offer a bit more flexibility than just creating characters to talk to like in Messenger. The chatbots in Messenger have the benefit of being in the Messenger app, which most people use and giving them a personality and making them feel like an “AI person” fits better in Messenger. Whether we really need these AI bots in Messenger is still up for debate. It’s quite a new feature and some people may find some good uses for them, but as mentioned, they don’t seem as flexible, or provide as detailed responses as custom bots made on Poe or Gemini Gems. They are definitely for having casual conversations with. WhatsApp's new AI chatbot creator We’ve known that the chatbot feature was coming to WhatsApp for a long time already. WhatsApp beta for Android 2.25.1.26, released in January, included the feature for some beta testers. With the latest WhatsApp beta for Android 2.25.18.4, it seems like WhatsApp is trialing the feature with members of the public, suggesting its release is imminent. Screenshots of the app, obtained by WABetaInfo show that you can describe your AI, select its personality, its traits, its image and more. The process seems to be the same as the process already available in Messenger. One of the nice things that Meta provides when creating these AI bots is templates and suggestions such as the attitude of the bot or the instructions for the bot. This is the same as in Messenger and allows you to get started chatting with your custom bots faster. In terms of sharing, you have the option to make the bots private, share them with friends (at least in the case of Messenger and presumably WhatsApp), or share them publicly. If you make something specific for your needs then the private option would be best, while bots with mass appeal could be set to public. Creating bots in WhatsApp is straightforward once you have access to the AI Studio. During the creation process you’ll need to name your AI, define its personality, choose a tone, design an avatar (some will be made for you with Meta’s AI), and create a catchy tagline to attract users if you ever set it to public. Much of the information will be pre-filled based on the initial details you provide about the AI’s role and personality. Some ideas for bots that you can create include a motivational coach, a travel recommendation AI, or a daily planner. While setting up these AI bots is easy to do, users may find their actual benefits limited. Besides the nagging feeling that you’re socializing with a clever bit of code, Meta seems to truncate the answers of these bots so they don’t rattle on, but depending on what you want them to do, you may need them to give a lengthy response, but they won’t. What personalized AI chatbots could offer If you are looking for an AI that chats to you conversationally like real people do, then this could be the feature you’re looking for. The fact that you can personalize bots with specific traits is something you can’t do as easily in apps like ChatGPT and Gemini and the fact that they have an avatar makes them more connectable too. Two of the defining features of Meta’s AI implementation is the ability to create custom AIs with a unique personality and to share them publicly. If you are having difficulty thinking of what a bot could be instructed to do, you can easily find community bots and interact with those instead and may find they provide some value. While these bots could be interesting for some people, they do carry the same risks as other AIs and that is that they can hallucinate. There was also a case in the UK where a man had been encouraged by his Replika to break into Buckingham Palace with a crossbow to kill the then head of state. Similar issues to this could result from Meta’s AI chatbots in time. Potential pitfalls While the feature is pretty interesting there are some things to be aware of. Firstly, the feature is still in beta on WhatsApp so you may run into issues and things could change once it’s finally released. Meta also states that it uses your interactions to improve its AI services, for this reason it is essential not to share personal information as Meta could read it. While Meta does limit the creation of bots that go against its standards, the company also warns that bots can output harmful content, so this could be dangerous for impressionable people who end up acting on what an AI has said with negative outcomes. What to watch for next It’s not clear when these AI chatbots will be available in the stable channel but given that a wider rollout is underway among beta users perhaps we are not too far off. For most people, this is not going to be a must-have feature, just a nice to have. We’ve been using WhatsApp to chat with friends for years, so clearly the app is just fine without the inclusion of AI, but when it’s available, people may be able to get more value out of the app. When the feature launches for all users, bots should be discoverable in the same way they are on Messenger where they’re categorized by category allowing users to begin chats easily. It remains to be seen how users will interact with this feature in the long-run. Last year, we reported that Meta was looking to give bots profiles on its social networks and this was met by somebacklash in our comments section. Tags Report a problem with article Follow @NeowinFeed

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!

Finding your own path is at the core of gameplay in Pantheon: Rise of the Fallen – players can go anywhere, climb anything, forge new routes, and follow their curiosity to find adventure. It’s not that different from how its creators, Visionary Realms, approaches building this MMORPG – they’re doing it their own way.Transporting players to the fantasy world of Terminus, Pantheon: Rise of the Fallen harkens back to classic MMOs, where accidental discovery wandering through an open world and social interactions with other players are at the heart of the game experience.Creating any multiplayer game is a challenge – but a highly social online game at this scale is an epic quest. We sat down with lead programmer Kyle Olsen about how the team is using Unity to connect players in this MMORPG fantasy world.So what makes Pantheon: Rise of the Fallen unique compared to other MMO games?It’s definitely the social aspect. You have to experience the world and move through it naturally. It can be a bit more of a grind in a way, but it I think connects you more to your character, to the game, and the world instead of just sort of teleporting everywhere and joining LFG systems or just being placed in a dungeon. You learn the land a bit better, you have to navigate and you use your eyes more than just bouncing around like a pinball from objective to objective, following quest markers and stuff. It’s more of a thought game.How are you managing synchronization between the player experience and specific world instances?We have our own network library we built for the socket transport layer called ViNL. That’s the bread and butter for all of the zone communications, between zones and player to zone. SQL server in the back end, kind of standard stuff there. But most of the transports are handled by our own network library.How do you approach asset loading for this giant world?We’ve got a step where we bake our continents out into these tiles, and we’ve got different backends that we can plug into that. We’ve got one that just outputs standard Prefabs, and we’ve got one that outputs subscenes that we were using before Unity 6, and then we’ve got actual full-on Unity scenes that you can load additively, so you can choose how you want to output your content. Before Unity 6, we had moved away from Prefabs and started loading the DOTS subscenes and using that, built on BRG.We also have an output that can render directly to our own custom batch render group as well, just using scriptable objects and managing our own data. So we’ve been able to experiment and test out the different ones, and see what yields the best client performance. Prior to Unity 6, we were outputting and rendering the entire continent with subscenes, but with Unity 6 we actually switched back to using Prefabs with Instantiate Async and Addressables to manage everything.We’re using the Resident Drawer and GPU occlusion culling, which ended up yielding even better performance than subscenes and our own batch render group – I’m assuming because GPU occlusion culling just isn’t supported by some of the other render paths at the moment. So we’ve bounced around quite a bit, and we landed on Addressables for managing all the memory and asset loading, and regular Instantiate Prefabs with the GPU Resident Drawer seems to be the best client-side performance at the moment.Did you upgrade to Unity 6 to take advantage of the GPU Resident Drawer, specifically?Actually, I really wanted it for the occlusion culling. I wasn’t aware that only certain render paths made use of the occlusion culling, so we were attempting to use it with the same subscene rendering that we were using prior to Unity 6 and realizing nothing’s actually being culled. So we opted to switch back to the Prefab output to see what that looked like with the Resident Drawer, and occlusion culling and FPS went up.We had some issues initially, because Instantiate Async wasn’t in before Unity 6, so we had some stalls when we would instantiate our tiles. There were quite a few things being instantiated, but switching that over to Instantiate Async after we fixed a couple of bugs we got rid of the stall on load and the overall frame rate was higher after load, so it was just a win-win.Were there any really remarkable productivity gains that came with the switch to Unity 6?Everything I've talked about so far was client-facing, so our players experienced those wins. For the developer side of things, the stability and performance of the Editor went up quite a bit. The Editor stability in Unity 6 has gone up pretty substantially – it’s very rare to actually crash now. That alone has been, at least for the coding side, a huge win. It feels more stable in its entirety for sure.How do you handle making changes and updates without breaking everything?We build with Addressables using the labels very heavily, and we do the Addressable packaging by labels. So if we edit a specific zone or an asset in a zone, or like a VFX that’s associated with a spell or something like that, only those bundles that touch that label get updated at all.And then, our own content delivery system, we have the game available on Steam and our own patcher, and those both handle the delta changes, where we’re just delivering small updates through those Addressable bundles. The netcode requires the same version to be connected in the first place, so the network library side of that is automatically handled in the handshake process.What guidance would you give someone who’s trying to tackle an MMO game or another ambitious multiplayer project?You kind of start small, I guess. It's a step-by-step process. If you’re a small team, you You start small. It's a step-by-step process. If you’re a small team, you can’t bite off too much. It’d be completely overwhelming – but that holds true with any larger-scale game, not just an MMO. Probably technology selection – making smart choices upfront and sticking to them. It’s going to be a lot of middleware and backend tech that you’re going to have to wrangle and get working well together, and swapping to the newest cool thing all the time is not going to bode well.What’s the most exciting technical achievement for your team with this game?I think that there aren’t many open world MMOs, period, that have been pulled off in Unity. We don’t have a huge team, and we're making a game that is genuinely massive, so we have to focus on little isolated areas, develop them as best we can, and then move on and get feedback.The whole package together is fairly new grounds – when there is an MMO, it needs to feel like an MMO in spirit, with lots of people all around, doing their own thing. And we’ve pulled that off – I think better than pretty much any Unity MMO ever has. I think we can pat ourselves on the back for that.Get more insights from developers on Unity’s Resources page and here on the blog. Check out Pantheon: Rise of the Fallen in Early Access on Steam.

Menu Home News Hardware Gaming Mobile Finance Deals Reviews How To Wccftech Deals Apple’s 13-Inch M4 MacBook Air With 16GB Unified RAM & 512GB Storage Drops Below The $1,000 Price Barrier, Making It A Notebook For Everyone From A ‘Cost To Performance’ Perspective Omar Sohail • Jun 3, 2025 at 04:13am EDT The M4 MacBook Air range boasts enough power, portability, and battery life that it turns into an ‘all-around’ portable computer that caters to all sorts of requirements for millions of consumers. However, with the latest discount on the Starlight finish, which drops the price by more than $200, the smaller 13-inch portable Mac with 16GB of unified RAM and 512GB storage is now listed on Amazon for only $989.95. For those keeping a track on these discounts, they should be aware that this is the best deal offered by Amazon, but only if you pick the Starlight color right now. Every other paint job with the exact same configuration is available for $1,049.99, so if you value your wallet’s size more than your color preferences, the Starlight variant should become your daily driver. The 13-inch M4 MacBook Air is incredibly thin and light, with the unibody aluminum construction delivering a robust exterior that outmatches its competitors in the same price bracket. You will miss out on that mini-LED upgrade and high refresh rate, not to mention that this model also ships without an active cooling fan to keep the weight down. For the productivity aficionados, the 13-inch M4 MacBook Air supports up to two high-resolution monitors, and that too without closing the machine’s lid. If you want to sit away from your primary workstation or desk, the Apple Silicon’s efficiency allows the MacBook Air to last for up to 18 hours on a single charge, while offering the flexibility of getting charged via MagSafe or Thunderbolt port. For less than $1,000, there are few alternatives that can offer what this 13-inch M4 MacBook Air has, and this discount guarantees that you have one of the best ‘price to performance’ notebooks in your hands. Get the 13-inch M4 MacBook Air with 16GB RAM, 512GB storage from Amazon - $989.95 (17 percent off, discount applicable on the Starlight finish only) See the latest technology deals that Amazon has discounted today See what else Amazon has discounted today Deal of the Day Subscribe to get an everyday digest of the latest technology news in your inbox Follow us on Topics Sections Company Some posts on wccftech.com may contain affiliate links. We are a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to amazon.com © 2025 WCCF TECH INC. 700 - 401 West Georgia Street, Vancouver, BC, Canada

In technical fields like information technology, definitions are fundamental. They are the building blocks for constructing useful applications and systems. Yet, despite this, it’s easy to assume a term’s definition and wield it confidently before discovering its true meaning. The two closely related cases that stand out to me are “security” and “privacy.” I say this with full awareness that, in my many writings on information security, I never adequately distinguished these two concepts. It was only after observing enough conflation of these terms that I resolved to examine my own casual treatment of them. So, with the aim of solidifying my own understanding, let’s properly differentiate “information security” and “information privacy.” Security vs. Privacy: Definitions That Matter In the context of information technology, what exactly are security and privacy? Security is the property of denying unauthorized parties from accessing or altering your data. Privacy is the property of preventing the observation of your activities by any third parties to whom you do not expressly consent to observe those activities. As you can see, these principles are related, which is one reason why they’re commonly interchanged. This distinction becomes comprehensible with examples. Let’s start with an instance where security applies, but privacy does not. Spotify uses digital rights management (DRM) software to keep its media secure but not private. DRM is a whole topic of its own, but it essentially uses cryptography to enforce copyright. In Spotify’s case, it’s what constitutes streaming rather than just downloading: the song’s file is present on your device (at least temporarily) just as if you’d downloaded it, but Spotify’s DRM cryptography prevents you from opening the file without the Spotify application. The data on Spotify (audio files) are secure because only users of the application can stream audio, and streamed content can’t be retained, opened, or transmitted to non-users. However, Spotify’s data is not private because nearly anyone with an email address can be a user. Thus, in practice, the company cannot control who exactly can access its data. A more complex example of security without privacy is social media. When you sign up for a social media platform, you accept an end-user license agreement (EULA) authorizing the platform to share your data with its partners and affiliates. Your data stored with “authorized parties” on servers controlled by the platform and its affiliates would be considered secure, provided all these entities successfully defend your data against theft by unauthorized parties. In other words, if everyone who is allowed (by agreement) to have your data encrypts it in transit and at rest, insulates and segments their networks, etc., then your data is secure no matter how many affiliates receive it. In practice, the more parties that have your data, the more likely it is that any one of them is breached, but in theory, they could all defend your data. On the other hand, any data you fork over to the social network is not private because you can’t control who uses your data and how. As soon as your data lands on the platform’s servers, you can’t restrict what they do with it, including sharing your data with other entities, which you also can’t control. Both examples illustrate security without privacy. That’s because privacy entails security, but not the reverse. All squares are rectangles, but not all rectangles are squares. If you have privacy, meaning you can completely enforce how any party uses your data (or doesn’t), it is secure by definition because only authorized parties can access your data. Mobile Devices: Secure but Not Private Casually mixing security and privacy can lead people to misunderstand the information security properties that apply to their data in any given scenario. By reevaluating for ourselves whether a given technology affords us security and privacy, we can have a more accurate understanding of how accessible our data really is. One significant misconception I’ve noticed concerns mobile devices. I get the impression that the digital privacy content sphere regards mobile devices as not secure because they aren’t private. But while mobile is designed not to be private, it is specifically designed to be secure. Why is that? Because the value of data is in keeping it in your hands and out of your competitor’s. If you collect data but anyone else can grab your copy, you are not only at no advantage but also at a disadvantage since you’re the only party that spent time and money to collect it from the source. With modest scrutiny, we’ll find that every element of a mobile OS that might be marketed as a privacy feature is, in fact, strictly a security feature. Cybersecurity professionals have hailed application permissions as a major stride in privacy. But whom are they designed to help? These menus apply to applications that request access to certain hardware, from microphones and cameras to flash memory storage and wireless radios. This access restriction feature serves the OS developer by letting users lock out as much of their competition as possible from taking their data. The mobile OS developer controls the OS with un-auditable compiled code. For all you know, permission controls on all the OS’s native apps could be ignored. However, even if we assume that the OS developer doesn’t thwart your restrictions on their own apps, the first-party apps still enjoy pride of place. There are more of them; they are preinstalled on your device, facilitate core mobile device features, require more permissions, and often lose core functions when those permissions are denied. Mobile OSes also sandbox every application, forcing each to run in an isolated software environment, oblivious to other applications and the underlying operating system. This, too, benefits the OS vendor. Like the app permission settings, this functionality makes it harder for third parties to grab the same data the OS effortlessly ingests. The OS relies on its own background processes to obtain the most valuable data and walls off every other app from those processes. Mobile Security Isn’t Designed With You in Mind The most powerful mobile security control is the denial of root privileges to all applications and users (besides, again, the OS itself). While it goes a long way toward keeping the user’s data safe, it is just as effective at subjecting everything and everyone using the device to the dictates of the OS. The security advantage is undeniable: if your user account can’t use root, then any malware that compromises it can’t either. By the same token, because you don’t have complete control over the OS, you are unable to reconfigure your device for privacy from the OS vendor. I’m not disparaging any of these security controls. All of them reinforce the protection of your data. I’m saying that they are not done primarily for the user’s benefit; that is secondary. Those of you familiar with my work might see the scroll bar near the bottom of this page and wonder why I haven’t mentioned Linux yet. The answer is that desktop operating systems, my preferred kind of Linux OS, benefit from their own examination. In a follow-up to this piece, I will discuss the paradox of desktop security and privacy. Please stay tuned.

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