Author: David Bernal Raspall

Going from an idea to a 3D model has always been one of those tasks that eats up the most time in any workflow, especially when we are talking about video games, visual prototyping, or character development. It is true that part of the creative process lies in the modeling itself, but it is also true that it is more than common to have template files as a base to work from, adapting them so we do not have to start from scratch. Wonder 3D is born from that very idea, but the truth is that it takes it much, much further.

Wonder 3D is Autodesk Flow Studio’s new generative AI model. With this technology, we can start from a text prompt or a reference image and let the platform generate characters or objects for us, then focus our attention on refining them, remixing them, and, of course, reusing them within our projects. At a time when good design makes the difference in the perceived quality of a production, presentation, or development, being able to optimize the time we devote to the most labor-intensive side of 3D production is something well worth keeping in mind. Speed matters here, and flexibility matters even more.

Available from today, March 12, Text to 3D, part of Wonder 3D, is a system that turns a written description into an editable three-dimensional asset. At a time when the industry, especially the video game industry, is looking more and more toward 3D, immersive experiences, and virtual reality, the speed and precision of generation fundamentally change a large part of the creative process. The sooner we can see an idea on screen, the sooner we can polish it and help it grow. Do we want to make changes? They no longer take hours, they take seconds.

Text to 3D brings 3D modeling to the pace of our writing

Wonder 3D’s Text to 3D feature is as intuitive as the rest of Autodesk’s generative AI functions. We describe a character, a creature, or a prop, and Flow Studio generates an editable 3D asset with geometry and texture for us.

It is worth pausing for a moment on one word that makes all the difference: editable. When we work in video game development or any visual environment, we want speed, of course, but we also want room to iterate and customize. We have already seen 3D content generators in the past, but the magic of Wonder 3D is that it is presented to us as a flexible foundation: we can adjust shapes, reinterpret the finish, reuse the piece in different scenes, or take it toward different visual styles.

For gaming audiences, being able to produce content this way is especially interesting, because the initial visual exploration carries enormous weight in any development. That is when all the modeling and production work piles up, and it is also when we work with the greatest amount of trial and error. In the early stages of a project, we usually test silhouettes, creatures, weapons, accessories, scene elements, and countless variations of the same concept until we find the right direction. This is exactly where Text to 3D fits in. It allows us to bring ideas to life with impressive speed, compare them, keep what works, and keep moving forward with a much more tangible foundation.

From there, we tweak, refine, improve, and make every adjustment we need, but we do so from within a workflow where presenting 10 different designs for a secondary 3D element is no longer impractical, but rather part of the process of selecting and evolving certain ideas. Creativity speaks a different language the moment we can evaluate an idea that has already been turned into volume.

Lastly, let us keep another important detail in mind: Wonder 3D does not appear as an isolated feature, but as part of the Wonder Tools suite. Alongside Text to 3D, we find Image to 3D, Text to Image, Edit Image, Remesh, Texture, and the combined Remesh & Texture option. With this, Flow Studio proposes a very coherent creative chain: we can start with text, an image, or a sketch and, after generating the first images and editing them with simple prompts, move on to 3D generation. It is not necessary in every case to go through each step, but doing so gives us enormous control over the results and, taken together, greatly reduces the time we will later have to spend on certain touch-ups.

Why Wonder 3D can make a real difference in video games

In the context of GDC 2026, Autodesk presented a session dedicated to Flow Studio for games, and in it the company explained to us how Wonder 3D can help generate assets for storyboard development, prop creation, character ideation, and scene building. It emphasized that, because of its price and technical simplicity, it is a very accessible tool for indie developers, solo creators, and people who are just beginning to move into the world of 3D.

What also stands out from this session, and from every later communication and announcement, is how Autodesk talks to us about iteration, and how clearly it does so. The company itself knows, and tells us, that generative AI works best as part of a creative process, but never as a substitute for it. Far from presenting a system that replaces the artists behind games, it places us in a framework that puts Wonder 3D where it fits best: as a tool for exploring, accelerating, and opening up options.

As for access, Text to 3D, Image to 3D, and Text to Image are available across all Flow Studio plans, from Free to Enterprise, and each generation costs 20 credits regardless of the plan. The difference between tiers lies in monthly capacity, resolution, storage, and the number of concurrent generations, ranging from one in Free to 20 in Enterprise.

The Free plan, let us remember, offers us 300 credits per month, which works very well for initial tests or an occasional trial. Lite goes up to 2 100 credits, Standard reaches 6 000, Pro rises to 12 000, and Enterprise comes in at 48 000 monthly credits. With this range, whether we are a small studio or a large developer, generative AI scales with us.

In Flow Studio we can, of course, export elements and scenes to tools such as Maya, Blender, Unreal Engine, and Autodesk 3ds Max through the USD format, in addition to working with motion capture data, camera data, and other very useful layers. So if we think about Wonder 3D from a video game standpoint, it has even more value, because it connects generation with the follow-up work in the tools that are already standard across the industry.

The best time to try Flow Studio is now

On top of all this, we also have to talk about the fact that, between March 16 and March 20, there will be a flash sale with up to 20% off the first-year subscription to several products, including Autodesk Flow Studio. If we are already considering joining the platform or expanding how we use it, the timing could not be better to take advantage of the new 3D generation tools.

Autodesk launched freemium access to Flow Studio in August 2025 and reorganized its pricing tiers to make the tool more accessible. Now, coinciding with the launch of the new features, we have the best excuse to try it and take a step into the world of 3D.

Wonder 3D in Autodesk Flow Studio brings together several points that are well worth paying attention to: AI for 3D modeling, 3D character generation from text, prop creation for video games, integration with professional pipelines, and scalable access starting from a free plan. These are many fronts, all highly current, and all of them connect with the creative market’s main goal: to produce faster, validate as early as possible, and maintain the quality and flexibility of decisions throughout the entire process.

Autodesk, as with the rest of its tools, makes what could be a very abstract launch more concrete by focusing on a function that gives us a more agile way to start, to explore, and to keep developing. It is a way of approaching the beginning of a project, almost by playing and experimenting, that fits very well with what we usually need in a studio. AI brings much more value when it comes on the scene to genuinely speed up the work.

If we had to sum up the most interesting thing about Wonder 3D in a single idea, it would be this: Autodesk Flow Studio has found a very convincing way to bring 3D modeling closer to natural language, and it has done so in a way that will be especially appealing to video game developers. From character ideation to prop creation and the initial building of scenes, Text to 3D allows our ideas to take shape almost at the same pace as we think them. And when a tool manages to make thinking, testing, and building even more fun, it deserves our full attention.

OpenAI has introduced ChatGPT Translate. This new translation tool, separate from ChatGPT itself, combines linguistic accuracy with artificial intelligence to go beyond traditional translators. Available in more than 50 languages, OpenAI’s offering arrives to compete with Google Translate, but with a more customisable, context-oriented approach. Although the launch has been low-key, it gives us a glimpse of the potential of a service that could change the way we translate and adapt our texts for different audiences.

A translator with built-in artificial intelligence

ChatGPT Translate lets us translate texts by typing directly, speaking, or even uploading an image, although this last option is not yet operational. Translation works automatically, with source-language detection, and returns the result in the language we select. An interface that will already feel very familiar to us, but with a twist.

The most interesting part comes right after the translation. OpenAI has integrated a personalisation system that, through simple prompts, allows us to adjust the tone and context of the translated text, something other services do not offer as directly. We can ask for the translation to be more formal, to adapt to a child audience, or to take on an academic style, and with a single tap we switch to ChatGPT to keep refining the result.

A simple approach, but one that leads us to think of translation as a process in different stages, where we shape the content until we get exactly the result we expect.

A different approach from Google Translate

Google Translate is currently the benchmark for compatibility and features, offering us document translation, full web-page translation, handwriting input, real-time conversations, and support for hundreds of languages. Meanwhile, ChatGPT Translate, for now, focuses on translating text, although it accepts voice input.

Its proposal, however, is not about covering every possible feature, but about offering the flexibility of AI to edit and fine-tune the translation, which is especially interesting when we are not only trying to understand the content, but to communicate it in the best possible way. This detail, although simple, changes the perspective: instead of translating literally, we can achieve a result that respects not only the original style, but also our own intention.

ChatGPT Translate opens the door to a much more creative and contextualised kind of translation, which can grow a lot if OpenAI expands its multilingual support and activates the other multimodal functions. When, in future versions, we can work with images, documents, and real-time conversations, we will have a tool that could integrate very naturally into educational, professional, and content-creation environments.

At a time when content needs to be localised with great care as well as translated, AI-powered translation is evolving towards a model in which what we say matters as much as how we say it. With ChatGPT Translate, OpenAI is starting to put that future within reach of anyone who wants to go one step beyond literal translation.

Apple has introduced a new subscription that greatly simplifies how we create professional content on our devices. Under the name Creator Studio, the company offers us full access to all its professional applications, including Final Cut Pro, Logic Pro, Motion, and Compressor, for just $129 a year. It’s a proposal designed to compete directly with other subscription models, like Adobe’s, leaning on the power of the Apple ecosystem and on a very appealing price point for when we want to get the most out of our Mac, iPad, or iPhone.

One single access point to all of Apple’s pro apps

Until now, if we wanted to use Final Cut Pro or Logic Pro, we had to buy them separately or subscribe to their specific iPad versions. With Creator Studio, Apple gives us access to all its professional tools under a single subscription for $129 a year or $12.90 a month. This includes:

• Final Cut Pro, for professional video editing with support for HDR, ProRes, and multicam editing.
• Logic Pro, the flagship tool for music production with sound libraries and advanced plugins.
• Motion, ideal for creating animations, titles, and visual effects with the same quality we see in film or television.
• Compressor, for optimized, high-quality exports with compatibility across multiple platforms.
• Pixelmator Pro, for working with images quickly and efficiently thanks to a wide range of tools and various AI features.

Creator Studio also brings new additions to Keynote, Pages, and Numbers, Apple’s productivity tools, which receive new exclusive content in the form of a Content Hub with premium templates and high-quality images ready to use.

And the best Apple Intelligence features

Beyond access to the apps themselves, the Creator Studio subscription brings us several AI features built into the same apps. In Final Cut Pro, it lets us find audio by typing a phrase into search and sync video and music precisely through Time Detection. In Logic Pro, Synth Player acts as a music assistant capable of turning early ideas into tracks ready to mix.

In the visual space, Pixelmator Pro offers us tools like Super Resolution, Auto Crop, and Warp, available on iPad and Mac to improve image editing. In productivity apps, the AI that Creator Studio adds makes it easier for us to create presentation drafts, generate notes, and build smart formulas in Numbers.

Creator Studio supports creativity across the Apple ecosystem

One of Creator Studio’s biggest draws is its price compared to other professional solutions on the market. While services like Adobe Creative Cloud require monthly payments that easily go beyond $600 a year, Apple’s offering comes in at just $129 a year or $12.90 a month.

Creator Studio is, however, much more than a simple alternative to Adobe: it’s the way Apple wants to make it easier for us to get the most out of our hardware to create professional content with ease. With unified access, constant updates, and a very attractive price, this new service puts everything we need to create with our devices in our hands.

Apple confirmed a few hours ago what the rumours had been pointing to for some time: the new version of Siri will run on Google Gemini. A partnership that, in addition to evolving Siri’s capabilities, will also enable the arrival of new features that will take advantage of Apple’s cloud infrastructure and Google’s AI expertise.

Apple and Google’s official announcement puts an end to speculation

Apple and Google have publicly confirmed their alliance through a joint statement which, while light on detail, puts an end to speculation. According to the original text first published by CNBC, “Apple and Google have entered into a multi-year collaboration under which the next generation of Apple Foundation Models will be based on Google’s Gemini models and cloud technology. These models will help power future Apple Intelligence features, including a more personalized Siri coming this year.

After careful evaluation, Apple determined that Google’s Al technology provides the most capable foundation for Apple Foundation Models and is excited about the innovative new experiences it will unlock for Apple users. Apple Intelligence will continue to run on Apple devices and Private Cloud Compute, while maintaining Apple’s industry-leading privacy standards.”

A smarter, more personalised Siri coming very soon

The main new thing we’ll see thanks to this deal is a Siri that’s far more aware of our personal context, with better natural-language understanding and a better grasp of what’s happening on our screen. Apple has confirmed that the assistant will be able to interpret information from our apps, such as Mail or Messages, to provide more complete answers to our questions. For instance, we’ll be able to ask about a contact’s flight arrival time or whether we have any lunch plans coming up with that person, and Siri will answer based on the data we already have on our devices.

This new Siri is expected to launch with iOS 26.4 over the next few months, and it will arrive alongside Apple Intelligence features that will integrate Gemini models within Apple’s private cloud. According to Apple, Siri’s future lies in full integration with our apps and a deeper understanding of our day-to-day life, all without needing to change how we use it.

Privacy and private-cloud processing: Apple’s guarantees

Another key point of this agreement is how it affects privacy. Apple has reiterated that Apple Intelligence—here, using Gemini technology—will continue to operate locally on our devices and within the Private Cloud Compute infrastructure, which means personal data will remain protected under the same standards we already know and value.

While Gemini models provide the power the new Siri needs, Apple will keep control over privacy and information handling.

Another part of the announcement is that, at least for now, integration with ChatGPT will remain active for more complex queries, although it’s not clear whether Gemini will eventually take over that role entirely. What does seem certain is that Apple wants to offer us an assistant capable of dealing with any situation without us having to worry about where our data is processed—if it is processed at all.

With this announcement, Apple confirms it’s ready to compete head-on in the field of artificial intelligence. The deal with Google ensures that the Apple ecosystem will evolve towards a much smarter experience, where Siri, Writing Tools, Notification Summaries and other Apple Intelligence features are smarter than ever.

For several months now, we’ve been hearing rumours about Apple’s plans around the Health app and about plans for a service we’re calling, for the moment, Apple Health+. Now, a development build of iOS 26.4 that has leaked to MacWorld reveals more details. In line with Tim Cook’s vision of making health one of the company’s key pillars, the new update will bring new features, a more streamlined design, and AI-powered tools that will make it easier for us to take care of our health.

The first iOS 26.4 beta could arrive next month, while the final version would be ready for spring. That should give us access to a completely revamped Health app in a matter of weeks. Let’s go over all the details.

A clearer design and new ways to add and interact with our data

One of the first changes we’ll see will be the introduction of a new design for the Health app, aimed at simplifying our access to information and making it easier to review different metrics. According to the information we have, Apple will reorganise the categories, introduce a simpler system for logging new data, and redesign the layout to make it more consistent with the rest of the system.

The idea is that the easier it is for us to correctly interpret our metrics, the better decisions we’ll be able to make about our wellbeing. In addition, the goal is for logging information that the app doesn’t capture through the Apple Watch or similar sensors to be as easy as opening the app and tapping a couple of buttons, because with more complete data, the results will be better.

Another major new feature will be the arrival of a meal-tracking system, which, as we understand it, will let us log our daily meals, track calories, and get a clearer picture of our eating habits. The idea is that this feature will be able to analyse key nutrients such as carbohydrates or caffeine, and it aims to be an alternative to apps like MyFitnessPal or Noom, for example.

An AI-powered health assistant

On top of all this data, Apple is preparing an AI-based health assistant. This system will analyse all the information available in the Health app and offer us personalised recommendations. From nutrition tips to guidance on improving posture during exercise if we use the iPhone’s rear camera, the goal is for the Health app to become a true digital coach.

Apple wants this assistant to be a proactive companion that detects different trends and suggests improvements before the situation gets worse. Whether through Siri or notifications, the idea is for the system to integrate naturally into day-to-day life without us having to open any app, in the style of the health notifications we already enjoy today.

Educational videos and a more complete experience

To complement all these new features, the company plans to launch a series of educational videos featuring doctors, nutritionists, physiotherapists, and mental health experts. These clips will appear directly in the Health app to help us better understand our data and follow reliable recommendations at key moments. For example, if the app detects that our sleep has dropped for several days, we’ll be able to watch a video from a sleep specialist.

Everything suggests that the Health app will take a huge step forward in an upcoming update. With its redesign, meal tracking, AI, and educational videos, we’re looking at an update that will mark a before and after in how we use our iPhone to look after our health. If everything sticks to the expected schedule, in a few weeks we’ll already be able to try the new features that will make the Health app one of the most important applications in Apple’s ecosystem.

OpenAI has taken an important step in the evolution of ChatGPT. The artificial intelligence company led by Sam Altman has introduced ChatGPT Health as a feature designed to help us better understand our medical information, organise it, and prepare for appointments with our doctors. An interesting proposal in a field as sensitive as health, where data and context are essential.

ChatGPT Health securely integrates data from our medical history, fitness apps, and other health services, with several layers of protection for our information. With this context, ChatGPT goes beyond simply answering general questions, as it adapts to our own data.

A dedicated space just for our health

ChatGPT Health works as a separate space within ChatGPT, with its own memory and storage, so our conversations, documents, and connected apps remain completely isolated from other chats. While conversations appear in the history so we can pick them up whenever we want, their data is handled independently and with a higher level of security than usual.

Within the service, we can connect apps such as Apple Health, MyFitnessPal, Weight Watchers, Function, or even Peloton, as well as import medical results and visit summaries. With this integration, ChatGPT can give us personalised answers to the questions we ask. We’re not talking about simply reading a summary of our latest blood test, but about having access to an explanation of how our cholesterol has evolved, or an exercise guide genuinely tailored to our current situation.

OpenAI has made it very clear that ChatGPT Health is designed to complement medical care, not replace it. Its goal is to help us organise information, understand certain patterns, and prepare the key questions we want to resolve at our next medical appointment. In those situations where information is scattered across apps, PDFs, wearables, and medical portals, having everything in one place is especially useful and saves us from having to hunt for data before a doctor’s visit. And if we add a system capable of pulling out specific data and patterns from all the available information, the usefulness of the approach becomes obvious.

Privacy and security as a priority

Privacy is central to ChatGPT Health. All the information we manage in this space is handled with dedicated encryption and kept isolated thanks to a compartmentalisation system designed for medical data.

Conversations in the Health section are not used to train OpenAI’s models, and we can delete any memory or data access from the Personalisation section or the Apps Settings, with just a few clicks. The system also offers support for multi-factor authentication, so we can add extra protection against any unauthorised access.

If we decide to connect our medical record, ChatGPT Health uses b.well, the largest medical data network in the United States. When linking external apps, the connection always requires our explicit authorisation, and we can revoke access at any time, giving us full control over what information we use and when.

How to start using ChatGPT Health

To access ChatGPT Health, we have to sign up for the waiting list. OpenAI has explained that it is rolling out access progressively to an initial group of users in the United States on the Free, Go, Plus, and Pro plans, and that it plans to expand it in the coming weeks to the web and iOS.

Once we have access, we’ll be able to select the Health option in ChatGPT’s side menu and start importing our information. We can upload files directly, connect compatible apps, or import our medical records. From there, the experience is as simple as writing: we can ask, “How have my sleep habits changed over the last month?” or “What should I review with my doctor tomorrow?” and get an answer based on our data.

ChatGPT Health is a very interesting step for those of us who want more control and clarity over our health without sacrificing privacy. OpenAI has created an environment with the strongest safeguards for discussing a topic as sensitive as health with artificial intelligence. A foolproof system? No, but a very important step towards bringing the power of AI into our lives while maintaining the highest level of control and guarantees. A way for ChatGPT to answer us much better whenever we have any questions about our health.