You might know Le Creuset from its premium ceramic cookware, but did you know that it made a striking collection of plates, cups, and other crockery inspired by Pokmon? Its collection has been available in international markets for nearly a year, but it hasnt been easy to buy the cookware stateside until now. If youve ever dreamed of paying $1,000 for a Dutch Oven molded into the image of Pikachu, nows your chance.There are some slightly more sensibly-priced options if you didnt roll out of bed ready to drop a grand on some cookware. For instance, you can pick up a five-piece set of stackable mugs for $425, or a single, larger Super Ball mug for $125. This collection will only be available for a limited time, and some items have already sold out, so youll want to move quickly if you want to catch em all, and put them to work in your kitchen.

How design shapes, elevates, and (lets be honest) savesAIGoogle and Harvard researchers use AI to reconstruct an intricate 3D view of the human braindown to nearly every cell and connection. Who says science and art are different? Credit: Google Research & Lichtman Lab (Harvard University). Renderings by D. Berger (Harvard University)In just a few years, weve gone from laughing at it to fearing it. By now most of us have come to terms with the fact that, like it or not, it is here to stay. Designers in tech face a unique set of challenges in this evolving landscape. As design practitioners, we must be adaptable- to the needs of stakeholders and clients, to our teams and professional partners, and to rapid changes in the technological landscape in which we work. In this article Ill be looking at how UI/UX and Product Designers can create better AI-enabled Products, the design strategies to consider when building intelligent interfaces, and how design-in-tech might prepare us for the future of this technology.Can you tell Im a Potterhead? Captured on Google Gemini (10.02.25)AI-enabled products? What arethose?By AI-driven interfaces and/or AI-enabled products, I refer to mobile and web apps that employ large language models (LLMs) or other ML techniques as their primary technology. Intelligent Interfaces refer to the UI of these products.In the last couple of years .ai is everywhere and its not unexpected, given that LLMs are getting more efficacious and reliable with each passing week. AI-enabled products can serve users for productivity, design, sales, marketing, business development, and probably many more use cases. I dont know them all, but maybe you do! If not, just ask your favourite AI.Something that underpins all of these applications is data. Data is the lifeblood of AI, it is what allows the product in question to function effectively. In turn, AI-led tech products continuously amplify the value of data by unlocking insights. This makes data analytics not just a category in the list above, but also a fundamental component of AI-powered tools. [Edit after DeepSeek R1: AI now also amplifies the value of data by trainingitself!]An earlier view of the ChatGPT UI Quite flat and unfocused, in my opinion (Kashyap, 2023).Where does UX get on (andoff)?AI without good UX is like a Ferrari on display with the steering wheel removed Impressive, no doubt. A fine specimen. But sit in there and youll feel a mix of disappointment, confusion andanger.UX is the secret sauce that makes people actually want to use a product. Image: A beautifully designed Mobile Travel App with Voice AI by Maria K. onBehanceAI systems are complex by default. All the fancy neural networks, machine learning models, and data pipelines are impressive under the hood, but quite intimidating to the average person even on the surface. A well-designed interface abstracts the stupendous complexity that is AI, presenting users with more familiar and intuitive options for input and interaction. UX anticipates and accommodates the need for accessibility, usability and empathy in these otherwise cold systems. Data and code make AI smart and clever, but its UX that makes you actually want to use it. Its what turns algorithms into tangible tools, creepy predictions into comforting conveniences, and raw computing power into refined experiences. Without UX, AI is just a jumble of intimidating potential; with it, AI becomes a partner, effortlessly upgrading the way we work and live. Think about the next time you see Your New Productivity Co-Pilot, or hopefully one with a more originalname.Photo by Tirza van Dijk onUnsplashDesigners, pay attentionBest practices! They make the design world go round. They keep us designers on our toes and make us mind our Ps and Qs. If youre a designer of any of the varieties mentioned earlier: Welcome, I shake you warmly by the hand. These are the things youll want to stay on top of to sharpen your Intelligent Interface, make users love using your product, and dont get spooked and/or confused as soon as the AI does something unexpected. If you are a different variety of tech person: Youre equally welcome to continue reading, to the benefit of all the designers you may workwith.ChatGPT now reveals its thought process in this expansion just above the output. Captured on ChatGPT by OpenAI (10.02.25)1. XAI fordaysThe average user is going to be pretty skeptical, disoriented even, when they first start using your product. We want to make sure our users trust the product and its capabilities, feel confident using it, understand how it works (to a reasonable extent), and are able to interpret the output effectively. We dont want users to necessarily need a tutorial or crash course to use the product (unless its really that specialised). We also dont want them to have to verify the results through Google, ChatGPT, or another better tool. Following design principles of explainable AI (XAI) is how we getthere.ExplanationAKA So creepy, how did it knowthat?!The AI should be able to explain how it arrived at its output. The explanation should be accurate, comprehensive and easy to understand (Phillips et al., 2021). While creepiness isnt as much of a concern today as it was 2 years ago, explanation is still beneficial in creating confidence in the product, the brand and the technology. Providing appropriate evidence and reasoning for output helps users trust the efficacy of the tool without worrying about more technically dense aspects of what its doing and how its doingit.Netflixs caption on its recommendations are a frequently seen instance of Explainable AI. Captured on Netflix (10.02.25).InterpretationAKA Thats cool, but WTF does itmean?!The answers and explanations provided should be easy to interpret, understand and act upon. Your user may be an expert in the given subject matter, but in most cases its best to assume that the user is not an expert and provide output that anyone can understand and move forwardwith.ChatGPT tends to get repetitive when dealing with its limits of knowledge. A more appropriate way to approach this might be letting users know upfront that it might not be able to precisely answer a given question, followed by the information it can actually provide, with a suggestion for the next prompt. Captured on ChatGPT by OpenAI (10.02.25)Knowledge limitsAKA Turns out it AInt all that smart (haha geddit?)When the AI reaches the edges of its domain of knowledge, its best to communicate it effectively to the user. Follow-up questions are welcome. Dont be overconfident in your system, and dont encourage users to be overconfident either. Instead, help them to quickly understand what it can and cannotdo.Fairness and bias preventionAKA I think it thinks Im a 35 y/o straight whitemanAI is only as good as the data its trained on, and the data is often a hot mess, with biases and hallucinations just waiting to happen. Bias prevention and other ethical guidelines need to be baked into the system, taking the form of self checks and effective communication on potential ethical issues within the responses of your AI. Its easy for these biases to get politicised, which is likely to be irrelevant and antithetical to the purpose of yourproduct.Input fields are one of the most important zones for error management. This is not an AI interface of course, but we can learn from the way New Password UIs are designed. (Sunwall & Neusesser, 2024)2. Error handling and managementErrors whether from the system or the user should be met with clear, helpful messages that guide users forward without friction. Your product likely wont have perfect outputs every time, and your users should feel comfortable with learning through failure without their workflow being adversely affected. When the errors come creeping, its only polite to be accountable for them, communicate the error in a way thats easy to understand, and provide options for resolution.Error messaging may take the form of basic error indicators, tooltips with an action button, and/or manual control panels as a layer of redundancy (Cornianu, 2025). Subtle, well-placed animations can help bevel the experience. General UX best practices for error messages are important herethe error communication should be visible, proportional to the scale of the error, and follow accessibility guidelines. Effective UX writing also shines through. We dont want users to feel like they did something wrong (even if they have), or experience confusion about how to resolve an error. Well-designed error management protocols help users trust the system, build confidence as they use the product, and reduce overall friction in the experience. In the words of Roald Dahl, smooth and oily as hair cream (The Hitchhiker, 1977).ChatGPTs feature to call upon any custom GPT into any chat might scream user-friendly, but the same doesnt apply to the outputs, which are not distinguished as an output of the custom GPT. A missed opportunity to improve usability and enrich experience, in my opinion. Captured on ChatGPT by OpenAI (10.02.25)3. Usability, prioritisedDont make your users think. You can achieve that by paying attention to usability, a cornerstone of the UI/UX practice. With AI-enabled products, we need to think about usability from both the engineering and the design side of things. An AI-enabled product is essentially a smart partner that proactively anticipates the needs of users and provides just the right amount of information and context where neededthats the engineering bit. The role of designers is to ensure that the system as a whole is intuitive, efficient, satisfying, and easy to use. Interfaces must work to bridge the gap between fickle minded humans and cold, data-driven systems. The gold standard can be achieved when designers work closely and iteratively with engineers, paying attention to visual consistency, adhering to accessibility guidelines, writing effective UX copy, and even providing neat third party integrations that can supercharge your users workflow.Many ChatGPT-based AI tools still use an input window to receive customisations and feedback from users. You can also influence output by telling it your desired temperature and top_p in the prompt, which sounds like a usability workaround to me. Modes of User input and Feedback is an area that still has a lot of scope for research and improvement in terms of their usability.4. Feedback andinputsSo far, proactively getting feedback and inputs from users allowed models to improve and adapt, gain credibility, and gave the user a sense of agency in the interaction (Chaturvedi, n.d.). Only a year ago, most AI-enabled products had a now obsolete mode of user feedback baked into their system in the form of ratings or a thumbs up/down button towards each answer. These products had largely been playing around in uncharted territory, but that territory is quickly becoming more charted. Very soon, models can be expected to move toward more self-sufficient operation, as demonstrated by DeepSeeks reinforcement learning and built-in Chain-of-Thought capabilities. This doesnt mean that user feedback and inputs are no longer needed. Far from it, they will continue to have an important place in interaction design for AI-enabled products for the foreseeable future. However, they will need to diversify and take different forms as we move toward more intuitive formats of interaction with AI enabled tools. This is something both designers and engineers will need to stay on topof.5. Iteration and collaborationDesigning for AI-enabled products differs from designing websites and apps in a pretty big, fundamental waythe outcomes and user journeys are uncertain. Unlike traditional design, where every user flow can be meticulously planned if designers so wished, AI introduces a wildcard element that makes it impossible to map out every single scenario. Nobody can predict, list, or account for every potential type of output the model may give us. In fool proofing this situation, Designers and Engineers must closely collaborate to guide AIs potential outputs, keep things aligned with what users actually need, and provide output in ways the user expects it to. We will need to learn each others disciplinary principles, needs and, to some extent, skills. Siloed operation is fairly detrimental to effective product design and development today. For the AI-enabled products we will be creating in the near future, it could spellfailure.Where are we headed withthis?Just as I was wrapping up this article, DeepSeek R1 was launched. In the span of about a week, the tech, AI and ML industries may have entered a new era time will tell, but I suspect we wont have long to wait. Ive written about Designers working with AI in the past, in an article that aged well but also became obsolete in barely a year. I looked back at my draft after the launch of DeepSeek R1 and realised that in the few weeks since I started writing this article, it already sounded a little outdated. Depending on when youre here, it may sound even more outdated.Rich Holmes on SubstackVibe coding is the new trend thats cropped up in product design (Holmes, 2025). When I first heard about it, it sounded a lot like something that people from other disciplines can get their fingers stuck straight into product design and promote learning. My view is that product designers will need to pay attention to the use cases of user experience, now more than ever. In the short term we might see torrents of new AI-enabled products that come into existence in a throw stuff at the wall and see what sticks manner; user experience learning curves will be steep here. In the medium to long term, it provides insights on how we could refocus and refine the way we design AI-enabled products in a new age oftech.A masterclass in how user and UX research can completely transform bad user experience, with some help from Natural Language Processing, Machine Learning, Computer Vision and similar technologies. Product Assembly Assistance by Multiple Owners onBehance.A new layer of multimodalMultimodal AI serves to allow AI-enabled products to communicate with users in more natural ways. Usually, this means you can type in a text input, record a voice message or video, or upload media files. Theoretically speaking, this enabled models to process all these forms of data in a way that seems more human-like. My personal view is that engineers and researchers cannot get complacent after developments they think will bring improvement to how easy a product is to use, when we just dont know for sure that it will in fact bring said improvement. Processing data in a human-like manner may not ensure better usability of a product that already runs on non-human intelligence, is relatively unknown in its workings, and limited in its scope of interaction. Usability principles ask that the multimodality of these models extend beyond input possibilities, to also include output and interaction possibilities. There is a lot of scope for research in this area to understand what actually constitutes an intuitive AI interface, when AI is by default not an intuitive thing.What I would like to see in the near future is a more visual and graphical mode of interaction that encourages more back-and-forth exchange with models before arriving at a comprehensive output that is self-initiated and self-evaluated by the model. Maybe its just me, but plain old chat-based interaction with an unknown entity leaves something wanting. It feels like a stopgap MSN Messenger-esque format thats serving this purpose until we can figure out a better, more user-friendly way to get the best out of these powerful tools. And its time to start figuring thatout.The ThirdParadigmWeve been in the early stages of AI-enabled products, and the people who have been making them are usually not UX specialists. Jakob Nielsen speaks of a new paradigm of UI design Intent-based Outcome Specification where we specify the outcome we want rather than specifying what we want the computer to do. In doing so, we hand over all control in the execution of the intended outcome to the computer, creating a somewhat one-sided interaction that is handicapped by the capabilities of the technology. So far, the most commonly employed interaction style has been the chat interface, since it helped account for the usability issues posed by these products. And so, the Prompt Engineers were born to paper over the cracks and tickle ChatGPT in the right spot so it coughs up the right results (Nielsen, 2024).As AI continues to improve (itself?), we can expect a shift towards more complex non-command interactionswhere systems dont wait for you to click a button but anticipate your needs based on passive cues. We are right at the point where user research can step in, digging into existing user data to fine-tune these interactions, making AI-enabled products not just smarter but genuinely moreusable.Gmails contextual smart replies, now powered by Gemini, are a good example of a non command interface. Start typing your mail and Gmail hits you with suggestions to finish the mail in one tap. No commands needed, Gemini quietly observes and responds. (Moon,2024).Non-command interfaces mark a fundamental shift from the old-school I click, you respond paradigm to systems that sense and react to user behavior without explicit commands. Unlike traditional menus or GUIs that demand direct input, non-command interfaces are designed to quietly observe and adapt, blending seamlessly into the users natural flow (Nielsen, 2019). However, theres still a lot to learn from the classic graphical user interface (GUI) playbook.By combining the intent-based nature of AI interactions with the intuitive familiarity of GUIs (and some technical wizardry that Im not qualified to elucidate), we can create systems that balance passive observation with user control. Imagine an interface that knows what you might want but still gives you the option to steer the ship when needed. Its about merging the best of both worldsAI that feels like its reading your mind but still respects your agency. I believe that a fusion of non-command design and GUI elements might be the key to pushing Intelligent Interfaces into their next evolutionary phase.ReferencesChaturvedi, R. (n.d.). Design human-centered AI interfaces. Reforge. https://www.reforge.com/guides/design-human-centered-ai-interfaces#recapCornianu, B. (2025, January 30). Training AI with pure reinforcement Learning: Insights from DeepSeek R1. Victory Square Partners. https://victorysquarepartners.com/training-ai-with-pure-reinforcement-learning-insights-from-deepseek-r1/Holmes, R. (2025, March 6). Rich Holmes on substack. Substack. Retrieved March 10, 2025, from https://substack.com/@richholmes/note/c-98472653Kashyap, R. (2023, April). I Dont Know A Great Answer OR I Dont Know, A Great Answer. Qeios. https://doi.org/10.32388/DFE2XG.2 Figure4Lipiski, D. (2024, August 13). Designing AI interfaces: Challenges, trends & future prospects | Pragmatic Coders. Pragmatic Coders. https://www.pragmaticcoders.com/blog/designing-ai-interfaces-challenges-trends-and-future-prospectsMoon, M. (2024, September 27). Google launches Geminis contextual smart replies in Gmail. Engadget. https://www.engadget.com/ai/google-launches-geminis-contextual-smart-replies-in-gmail-140021232.html Thumbnail ImageNielsen, J. (2019, May 4). Noncommand user interfaces. Nielsen Norman Group. https://www.nngroup.com/articles/noncommand/Nielsen, J. (2024, October 24). AI: First new UI paradigm in 60 years. Nielsen Norman Group. https://www.nngroup.com/articles/ai-paradigm/Phillips, P. J., Hahn, C. A., Fontana, P. C., Yates, A. N., Greene, K., Broniatowski, D. A., & Przybocki, M. A. (2021). Four principles of explainable artificial intelligence. https://doi.org/10.6028/nist.ir.8312Sunwall, E., & Neusesser, T. (2024, August 2). Error-Message guidelines. Nielsen Norman Group. https://www.nngroup.com/articles/error-message-guidelines/ Clear change password.AI + UX: design for intelligent interfaces was originally published in UX Collective on Medium, where people are continuing the conversation by highlighting and responding to this story.

It makes sense that most of us focus on money when it comes to our happiness. Not being able to afford stuff like rent is stressful, and going into debt to feed yourself just exacerbates that sense of powerlessness. Whatever your financial situation, unless youre oligarch-levels of wealthy you probably focus everything on making, saving, and stretching a much money as possible.But if youre not happy even if your bills are paid and your debt is manageable, its probably because youre thinking about money the wrong way. Instead of thinking about being affluent in terms of money, you should be thinking in terms of being affluent in time.What is time affluence? Time affluencethe feeling that you have enough time to accomplish everything you want to get doneis a crucial aspect of our happiness and sense of personal satisfaction. Time poverty is the oppositethat stressful feeling you get when there arent enough hours in the day to get everything done. Between commuting to and from our jobs, the time spent working, then the chores at home, many of us barely have time to eat some dinner and maybe stream a show before collapsing into bedand starting the process over again the next day. Then, our weekends are filled with household projects and maintenance and other responsibilities (or second jobs or overtime). We keep telling ourselves that well get back to a hobby, or make time to see friends, or get some extra sleep next week, or next month, or at some unknowable time in the future.Time poverty has been shown to have an adverse effect on both mental and physical health. The mistake many of us make is thinking that the answer to time poverty is simply having more moneybut the key is using money to gain more time. If all youre doing is selling more of your time (to a second job, or a more demanding position) then youre actually increasing your time poverty even if your bank account is growing. On the other hand, having more money means you can potentially buy more time for yourself. The trick is to stop thinking solely in terms of how youre spending your money and more in terms of how youre spending your time.How to become time affluentTime is one of the few resources in our lives we cant create more of no matter how creative, ambitious, or hard-working we are. You get 24 hours in a day and thats itand once those hours are gone you cant get them back. But what you can do to become more time affluent is manage your time more effectively, treating it like the limited resource it is. You can achieve more time affluence by doing four fundamental things:Organize and prioritize. Since your time is limited, stop treating it like an amorphous, infinite resource you always have more of. Make lists of things you need or want to do and prioritize them. Then use time blocking to break each of those priorities into a fixed amount of time needed to accomplish them or at least move them toward completion. This avoids letting tasks pile up, which increases stress and that sense of not being in control of your time, and provides a visual guide to how your day will play out. And having clear times for specific activities to end will increase your efficiency.Delegate. Always think about what you can delegate to someone else. For example, if you can afford to hire cleaners for your home you can reclaim the time you would otherwise spend cleaning the house. Youre essentially buying time from someone else.But reclaiming that time doesnt have to mean paying someone. If there are tasks that someone else in your life could be taking on (chores at home or work tasks not officially in your job description, for example) that will also claw back some time for you.Automate. Are there aspects of your life you can automate? Bill paying is an easy example of this: Instead of spending an hour every week paying bills individually, setting up automatic payments gets you that hour back. Think about any opportunities you have to automate stuffprescription refills, meal plans (if its in your budget), even grocery shopping can be automated these days through weekly subscription platforms.Monotask. Finally, be aware of whats known as time confettithe way we spend little bits of time on a seemingly infinite scroll of activities, most of them online. Jumping from thing to thing can feel like multitasking, but it isnt an efficient way to get stuff done.Instead, monotask, which means focusing on a single task until its done. Its an extremely simple concept, but it requires discipline, like sticking to the time-blocking schedule you created, eliminating distractions, and forcing yourself to focus.Having more money can make some of these steps easier or even possible, surelybut you can apply these four principles to your time management no matter what your financial circumstances are, and improve your time affluence to poverty ratio at least a little bit.

Priority Notifications is a new Apple Intelligence feature that's rolling out with the iOS 18.4 update, which is currently in beta. It's one of the last AI features that we will see with the iOS 18 update cycle, and it goes hand-in-hand with Apple's Notifications Summary feature, though they are distinct. Perhaps because of the backlash Apple got to Notification Summaries, this feature isn't even enabled by default. You have to enable it instead.How Priority Notifications WorkLike many new Apple Intelligence features, Priority Notifications uses on-device AI processing to figure out what your most important notification is at any given point. Then, it surfaces those notifications (sometimes bundling up two or three and providing a summary) right to the top. When the feature is enabled and an important notification comes in, you'll see it a new Priority Notifications box above the rest of your pings. Like with many Apple Intelligence features, this box has that same multicolor glow all around it, so you can know it was made by AI.What exactly is important and not, is deemed by Apple's processing algorithms. In my testing, I found that things like missed calls, one-time codes for deliveries or logins, messages from my bank about transactions and emails from my work account always came up top. These will depend on the person and the use case, but overall, this feature is designed to help people who don't manually manage their notifications well. So, if you're always swimming in dozens of notifications from food delivery apps, shopping apps, or news apps, having a dedicated section up top to tell you when you've missed an important message or a call might be genuinely useful.How to enable and customize Priority NotificationsApple isn't enabling this feature by default, even if you've already enabled Apple Intelligence. To find it, go to Settings>Notifications>Prioritize Notifications and toggle it on. Credit: Khamosh Pathak Now, you can let Apple do its thing, and it'll try to figure out which of your notifications are truly important.But to improve things, you can go one step further. If you scroll down, you will see a list of all the apps that can feed into the Priority Notifications system. If you don't want to see any false positives, you can apps you don't want to see in the Priority Notifications box, like food delivery apps, news apps, and so on. Credit: Khamosh Pathak If you find that Priority Notifications isn't for you, you can come back to Settings>Notifications>Prioritize Notifications to disable it altogether. If you're feeling the notifications overload, you can also take some time to customize the rest of the iPhone notifications system so that it works for you, instead of against you.

Many people using older Chromecast devices experienced a shock in recent days when their units lost the ability to cast content. The company ended the brand last year, which led folks to think that this was a planned obsolescence of some kind. Heres some good news. Its just a software issue and Google is working on it.The company sent an email to users to say that its engineers are "working to resolve this as soon as possible, and will keep you updated when there is more to share. Google was fairly vague in its wording here, but at least we know a fix is coming.Yikes, Google really fumbled.RIP Chromecast. pic.twitter.com/XTLulM3EAy DLLN (@DLLNBRAND) March 12, 2025 The issue primarily impacts older Chromecasts and the Chromecast Audio device and prevents them from casting. Google says the cause of the problem has been identified but didnt reveal any specifics.However, it has cautioned users to not factory reset impacted Chromecast devices. This will lock users out of the gadget entirely. Google has suggested it would help these people, because performing a factory reset would likely be one of the first troubleshooting steps, but hasnt provided a time frame.One Reddit user claims to have found the problem that caused the devices to lose functionality, noting that it was most definitely due to the certificate baked into the Chromecast having expired. This person said that the certificate specified it would no longer be active after March 9 and, well, thats the day before many models started failing.For the uninitiated, the issue causes an untrusted device error whenever someone tries to cast on certain models. The only option is to dismiss the error, which disables casting. Impacted units include the 2nd-gen Chromecast from 2015 and the Chromecast Audio.This article originally appeared on Engadget at https://www.engadget.com/entertainment/google-apologizes-for-chromecast-outage-and-promises-a-fix-172103579.html?src=rss

NVIDIA's GPU Technology Conference, also known as GTC, is coming up. The event is happening March 17-21 in San Jose, but you can also follow along with all the big developments here at Engadget. We'll have a liveblog for the keynote with CEO Jensen Huang on March 18 at 1PM ET (or 10AM PT), which is when most of the big news will drop. His speech will also be livestreamed for free, so you can watch it on NVIDIA's website too.From a quick glance at the session catalog on NVIDIA's website, we can make a few educated guesses. Topics range from quantum computing and "physical AI" to robotics, healthcare and Agentic AI. Huang himself is hosting the quantum computing chat with a bevy of participants from companies like Microsoft and Amazon, too.It's a safe bet that you'll hear a whole lot about artificial intelligence during the week, but with all the changes in the computing landscape over the past 12 months, the stakes might be higher for the company to make serious waves at this conference.What to expect at NVIDIA GTC 2025NVIDIA has been going all-in on AI for years now, and that makes it a regular highlight for GTC programming. Last year saw the company unveiling its Blackwell line of GPUs for faster and less demanding computations. We're guessing that Huang will introduce another iteration of Blackwell GPUs with even better specs this time around. NVIDIA is also likely to share updates on its projects in automotive, robotics and quantum computing.But the company is in a very different situation in early 2025 than it was going into last year's conference. NVIDIA is no longer sitting quite so comfortably at the top of the heap. The emergence of DeepSeek's reasoning model caused a plunge for tech stocks, including NVIDIA's, earlier this year. There have been lots of issues related to its latest RTX product launches and splashy tech for AI-generated NPCs in gaming are, unsurprisingly, pretty soulless.Basically, NVIDIA needs a win. This would be the time for Huang to drop something surprising and exciting. Hopefully he delivers.Update, March 12 2025, 1:18PM ET: This story has been updated to add information gleaned from NVIDIA's session catalog to the intro.This article originally appeared on Engadget at https://www.engadget.com/computing/what-to-expect-at-the-nvidia-gtc-2025-keynote-with-ceo-jensen-huang-183038999.html?src=rss

Lighting and image generation tools are coming to Google Meet.

Apple's M3 Ultra is the fastest M-series chip yet, and its power efficiency is better than most popular desktop CPUs.

The agency cited staffing and budget constraints as factors for why the trial should be pushed back.

Featuring Matthew Prince, Cofounder and CEO, Cloudflare. Moderated by Brendan Vaughan, Editor in Chief, Fast Company.With a quarter of the global internet powered by Cloudflareits network provides service to over 300 cities across more than 100 countriesthe company is at the helm of delivering content and connecting millions. But as AI-powered bots grow at a prolific rate and cybersecurity risks become increasingly sophisticated, ensuring the safety of the internet requires innovative thinking. Join Cloudflare cofounder and CEO Matthew Prince for a one-on-one conversation on how the company plans to tackle the challenges of the future.