Un equipo de arqueólogos ha concluido tras varios meses de trabajos de campo la excavación de un asentamiento germánico de dimensiones excepcionales en el distrito de Sieker, al sureste de la ciudad alemana de Bielefeld. Los trabajos, desarrollados bajo la supervisión del Landschaftsverband Westfalen-Lippe (LWL), han sacado a la luz una estructura poblacional que los […]
Entre las islas de Moskenesøya y Mosken, en el archipiélago noruego de las Lofoten, las aguas hacen algo que en ningún otro lugar del mundo sucede exactamente igual: se retuerce en mar abierto. No en un estrecho, no en un río, sino en pleno océano, frente a la costa, donde nada debería obligar al agua […]
Un robot virtual con curiosidad artificial aprende a entender el lenguaje en la mitad de tiempo que uno indiferente, y empieza a jugar y a equivocarse como un niño pequeño.
Embora os aplicativos Calendário (Calendar) e Lembretes (Reminders) da Apple atualmente estejam integrados, eles podem não ser a solução ideal para alguns usuários — principalmente os que precisam trabalhar com projetos.
Foi pensando nessa problemática que o desenvolvedor brasileiro Raphael Kitahara criou o Flick, um app que tem como objetivo principal ajudar as pessoas a fazer planos com menos esforço e ansiedade.
O app unifica gerenciamento de tarefas e calendário em uma experiência única, permitindo visualizar compromissos no mesmo lugar e transformá-los em blocos de tempo arrastando-os para o calendário.
As tarefas podem ser agrupadas em projetos e áreas específicas — além de ser possível usar linguagem natural para criá-las rapidamente, sem precisar preencher vários campos manualmente.
Disponível para iPhone, iPad, Mac e Apple Watch, e altamente integrado ao ecossistema da Apple, o app inclui recursos bem interessantes como widgets, tarefas recorrentes, alarmes e notificações.
O Flick pode ser baixado de graça, mas é possível assinar uma versão Pro (por R$9/mês ou R$100/ano) que permite criar projetos ilimitados, sincronização completa entre dispositivos, suporte prioritário, etc.
Outra coisa bem bacana é que 5% de cada assinatura é destinado ao Trees for the Future, projeto que apoia a recuperação de áreas degradadas e comunidades agrícolas.
Siri AI is an entirely new version of Siri deeply integrated into iPhone, iPad, Mac, Apple Watch, and Apple Vision Pro. It can draw on personal context understanding to search across messages, emails, photos, and more, and get things done across apps with even more systemwide app actions. Additionally, Siri AI can answer questions related to the content on a user’s screen or go out to the web to get up-to-date information using broad world knowledge and generate a helpful answer. A dedicated Siri app allows users to revisit a past conversation or kick off a new one — all in one place — and uses iCloud to privately sync conversational history across a user’s products.
Powered by the next generation of Apple Intelligence, Siri AI is a completely reimagined version of Siri that is more helpful, more capable, and more intelligent. With detailed, engaging responses and natural back-and-forth conversation, Siri AI helps users get more done than ever.
[…]
Siri has been rebuilt from the ground up with powerful AI at its core. It takes full advantage of the bold new architecture for Apple Intelligence, including the next generation of Apple Foundation Models that run on device and on servers using Private Cloud Compute. When Private Cloud Compute is handling users’ requests, their personal data is not stored nor made accessible to Apple or anyone else. Outside experts can continue to verify this privacy promise at any time. Additionally, Siri AI uses the system orchestrator to tap into core capabilities like the Spotlight index and App Toolbox, which work entirely on device to keep users in control of their data.
[…]
For products that support Apple’s most advanced on-device model ever, Siri AI offers even more expressive voices, as well as a major boost in accuracy with systemwide dictation. Users have the ability to customize the expressiveness and pace of Siri’s voice so it’s just right for them. Dictation now captures what users say as polished text with greater precision, automatically handling capitalization, punctuation, and formatting as they speak. With improved speech understanding, users can speak naturally and trust that their words will appear clearly, accurately, and as intended.
I remain uninterested in these more advanced Siri features. They matter in that Apple needs to show that they’re not “behind” and that they can actually deliver on what they announce and advertise. But I don’t find the use cases compelling and wouldn’t trust the results.
If you really care about a particular concert, would you believe Siri about how the tickets work and that it will auto-create a reminder at the right time? Why should I believe that it can figure out whether a particular irregularly shaped object can fit inside an irregularly shaped container when said shapes are probably not even published on the Web? Can it really dig into my e-mail to find the right flight info? An answer without being able to see the sources is not useful. And I certainly don’t want it to pick for itself which vacation photos to send out.
I just want the basic features—from a decade or so ago, like music controls, reminders, and access to my purchases—to work quickly, reliably, and offline to the extent possible. I did not hear anything to suggest that this was a focus. Instead, everyone is celebrating how slow the demos were because that proves they weren’t fake.
The other interesting thing to note from the keynote: watching the demos, there is ZERO doubt these are real, recorded demonstrations on live devices. There will be no confusion about what is real or fake like there was at WWDC 2024 and the initial attempt at the new Siri.
And, if your standards are the state of the art in AI circa June 2024, when Apple took their first crack at answering the question, they did quite well.
[…]
What’s fascinating about this specific demo is that it also showed just how far behind Apple is.
[…]
Still, the bubble was strong enough to convince OpenAI to make the exact same mistake Dropbox did: the company somehow convinced itself that it could make enough money selling subscriptions to consumers; Anthropic, meanwhile, realized that it was enterprises who were willing to pay for AI’s massive productivity benefits, even as OpenAI failed to capitalize on their consumer market penetration by refusing to build an advertising product.
This is a long-winded way of saying that I don’t think that Apple’s agentic shortcomings are a big deal, at least for now. Agents help you do work and be more productive, and consumers don’t want to work or care about being productive. What they do want to do is watch short-form video, and an iPhone is simply much better at that than any other device ever will be; in that context, Siri being good enough is enough, and it appears that Apple crossed that bar.
They need to execute, they need to prove this can scale, and most of all, they need to get third-party apps on board with App Intents and App Schemas. But it seems like they’re doing all of that. This is not a done deal but it is very realistic.
Siri doesn’t have access to the filesystem or tool-calling, so it’s completely unable to do the kinds of tasks you might easily do with Codex or Claude. It’s a good start, but the state of the art has already dramatically shifted over the past year. The question is will Siri move in this direction, or stick to providing answers from the web?
Will Apple introduce its own distinct Codex-style agentic programming model that can do all this, and work with Xcode? You would hope so…
The revamped version of Siri that is officially named “Siri AI” will be available to test in the iOS 27, iPadOS 27, macOS 27, and visionOS 27 developer betas starting today, and it is coming to the Apple Watch in a future watchOS 27 beta. “Siri AI” will also be included in the public betas of each platform that are launching in July.
“Siri AI” requires a device that is compatible with Apple Intelligence.
Apple senior vice president of software engineering Craig Federighi has explained why the company launched a standalone Siri app in iOS 27, after previously characterizing a dedicated chatbot as contrary to its Apple Intelligence strategy.
[…]
“We see Siri not as a separate chatbot, just an unintegrated place you go and chit-chat, but rather as an integral, conversational tool that you use in the moment, deeply integrated into your experience.”
…And playlists, contacts, settings and preferences. Peel off the agentic slop bandwagon and focus on core performance, smarter caching, and resilience under adverse network conditions.
Though this is a test conducted on the very first version of Siri A.I. from a fixed point in Calgary, it seems to work quite well. So far, it is better than any version of Siri Apple has released yet and, as you can see above, it is almost as good as the original 2010 demo, before Apple acquired the company.
On the one hand, if Siri has indeed become this reliable at understanding queries like those demoed so far, it’s indeed impressive. On the other hand, I can’t help but ask myself, once again, whether people at Apple even know how regular people actually use their phones and devices.
Apple executives downplay and obfuscate the role of Google in Siri AI. The Siri AI announcement didn’t even mention Google or Gemini once! Does anyone actually believe Apple’s BS? The argument seems to be that since Google made a bespoke implementation for Apple, Google is not really involved, and it’s all Apple. Ridiculous.
It’s really odd to me that Apple is getting so much credit for Google’s work. Siri now “works” to the extent it does because Siri is to a very large extent Gemini, and Apple has wrapped that in a bow.
Apple didn’t “nail” anything. Apple failed at its own internal efforts and was forced to outsource.
This is the advantage of being a platform: you can fail and still win.
Apple’s Siri team, led by Craig Federighi, held a post-WWDC keynote tech talk with members of the press this afternoon to talk through iOS 27 and the new Siri AI.
During the talk, Federighi shared more details about Apple’s collaboration with Google.
Apple looks like it will use some combination of Google Gemini models, combined with Google’s Confidential Inference and Apple’s own Private Cloud Compute for private hosting. These systems will process both your queries and evaluate private data from your devices.
[…]
Apple has since “expanded” PCC to encompass Google’s hardware as well. I will confess that I find the details of the new “expanded” PCC just a bit vague. It sounds a lot like Apple is primarily going to rely on Google’s existing confidential compute (running in Google datacenters) to process this data, but they’re bolting on a new layer of technical security to control which models are actually running. In any case: security experts can argue about whether this is good enough to keep Cozy Bear away from your data. What I will grant is that it’s probably good enough to keep Google and Apple from accessing your stuff, which is what most people are worried about in the first place.
So why am I so nervous?
[…]
So far we’ve discussed two adversaries: the misaligned designers of private agents (such as search operators), and the possibility of remote prompt injection attacks. But of course, in any discussion of technical privacy systems we need to talk about the last elephant in the room: your government.
Segundo o Gurman, a Apple desenvolveu pelo menos dois modelos do Mac Pro que nunca viram a luz do dia: um com processador da Intel — mesmo depois do lançamento da linha M1, curiosamente —, de codinome J170, para atender casos específicos; e outro equipado com o M3 Ultra, chamado internamente de J190 e previsto para ser lançado junto da última leva do Mac Studio, que chegou ao mercado no começo do ano passado.
Um caminho possível para a linha seria um suposto chip superior aos do sufixo Ultra; citado pelo jornalista como a variante “Extreme”, ele teria como objetivo oferecer o dobro de núcleos de CPU 1Central processing unit, ou unidade central de processamento. e GPU 2Graphics processing unit, ou unidade de processamento gráfico. em relação aos do Ultra, e o desenvolvimento do projeto chegou até o M3 antes de ser encerrado devido à preocupação com custos e demanda.
Genius Bar com IA?
Na mesma edição, o jornalista comentou que a Apple passou a testar a implementação de um sistema que utiliza IA para registrar conversas entre clientes e funcionários do Genius Bar.
Divulgação/Apple
Intitulado Live Notes, o recurso opcional testado em algumas Apple Stores permitiria que os funcionários do Genius Bar registrassem transcrições dos seus atendimentos com uma ferramenta capaz ainda de resumir as interações com os clientes. Ambas as partes deverão consentir com a gravação e o resultado final é passível de ajustes, sendo adicionado ao iPad do funcionário como parte do registro do atendimento ou reparo.
Ainda assim, o teste gerou preocupações entre os empregados, os quais temem que esses registros poderão ser usados para metrificar avaliações de desempenho e o trabalho dos colegas. A Apple teria descartado essa possibilidade, afirmando que as gravações não serão armazenadas e que nem mesmo os gerentes possuirão acesso às transcrições.
Notas de rodapé
1
Central processing unit, ou unidade central de processamento.
2
Graphics processing unit, ou unidade de processamento gráfico.
Nesta semana, inclusive, a Maçã obteve uma pequena vitória ao conseguir a aprovação para solicitar arquivos de órgãos federais que poderiam ajudá-la nessa batalha — mas, conforme novas informações do jornalista Mark Gurman (da Bloomberg), pode ser que ambas as partes cheguem a um acordo antes mesmo de um julgamento acontecer.
Ele afirma que as discussões “estão em andamento”, mas que não há garantia de que as duas partes chegarão a um acordo. Segundo a reportagem, a Apple fez várias ofertas ao DOJ neste ano para encerrar o processo.
Vale lembrar que o órgão moveu a ação em conjunto com um grupo bipartidário de 19 estados e o Distrito de Columbia. Ainda não se sabe, porém, se os procuradores-gerais estaduais estão participando das negociações de acordo — fato é que as negociações entre a Apple e o DOJ podem terminar sem que um entendimento seja alcançado.
Isso porque, sob a gestão de Donald Trump, o DOJ tem buscado acordos em diversos processos antitruste iniciados pela administração anterior. O procurador-geral adjunto dos EUA, Stanley Woodward, responsável pela supervisão das atividades antitruste do órgão, tem defendido acordos, considerando-os uma “forma de economizar o dinheiro dos contribuintes e proporcionar benefícios mais imediatos aos consumidores do que litígios que podem durar anos”.
O que a Apple já fez
As principais alegações do DOJ giram em torno do bloqueio, pela Apple, de “superaplicativos” (apps que incluem miniaplicativos, como o WeChat na China), além de desfavorecer apps de mensagens, de streaming na nuvem e carteiras digitais rivais, bem como dificultar a concorrência no mercado de smartwatches.
A aplicação foi criada pela startup EdTech, criada por quatro alunos do Técnico e já reconhecida em vários prémios. Está disponível para experimentar gratuitamente.
Un ensayo clínico ha probado en niños con el glioma cerebral más letal una terapia con células T modificadas contra una molécula del tumor. Los resultados agrietan un dogma médico antiguo.
ARK augmented reality describes a form of spatial interaction in which artificial intelligence does more than place digital objects in the physical world. It uses knowledge from foundation models to understand unfamiliar scenes, generate useful information and adapt its response to the person, task and environment.
The concept comes from a 2023 research paper titled “ArK: Augmented Reality with Knowledge Interactive Emergent Ability.” Its authors proposed a system that transfers knowledge from large foundation models into new physical and virtual environments. Instead of training an AI agent separately for every room, object or activity, ArK uses existing knowledge memory to interpret what it sees and generate appropriate 2D or 3D content.
Traditional augmented reality places information over reality. ARK augmented reality tries to understand reality before deciding what should appear.
That distinction creates a compelling direction for Apple. Vision Pro already blends digital content with physical space. Apple Intelligence adds language, image understanding and personal context. Visual Intelligence lets users look at objects, text and scenes before asking for information. Siri AI adds a conversational layer. ARKit, RealityKit and visionOS provide the spatial foundation.
Apple now has many of the components required to build a knowledge layer over the physical world.
ARK Augmented Reality Goes Beyond Digital Overlays
Most familiar augmented reality experiences are relatively fixed. A furniture app places a digital sofa in a room. A navigation app displays arrows over a street. A museum app identifies an artwork. A repair app shows where a component belongs.
These experiences can be useful, but they usually depend on predefined content and rules. The system recognizes a known object or location, then presents prepared information.
ARK augmented reality proposes something more adaptive. A knowledge-enabled system could enter an unfamiliar environment, interpret what is present and generate assistance based on a broader understanding of objects, relationships and possible actions.
A user looking at a complicated electrical panel would not only see labels. The system could identify the panel type, explain the purpose of each section, compare the arrangement with standard configurations and warn the user not to touch dangerous components.
A student examining a machine could ask how it works and receive a spatial explanation attached to its real parts. A surgeon could review anatomical information positioned around a medical model. A technician could receive repair guidance even when the exact equipment had not been included in a previous training dataset.
The display becomes less like a floating screen and more like an informed interpretation of the environment.
Image Credit: Apple Inc.
Why Apple Is Positioned to Build It
Apple’s advantage would not come from inventing every part of ARK augmented reality. It would come from combining hardware, software, artificial intelligence and personal context into one controlled ecosystem.
Vision Pro already understands rooms, surfaces, hands, eyes and objects well enough to place digital content convincingly in physical space. Its cameras and sensors continuously map the environment while visionOS manages windows, volumes and immersive experiences.
Apple Intelligence provides another layer. Foundation models can interpret language, summarize information, generate content and connect requests with app actions. Visual Intelligence can identify text, images and real-world objects. Siri AI can act as the conversational interface.
The Apple ecosystem also provides personal context that a generic AR platform may not have. Calendar knows the user’s schedule. Maps understands location. Photos contains visual history. Notes and Mail hold project information. Health contains personal trends. Home understands rooms, accessories and automations.
An Apple-built knowledge layer could combine the environment in front of the user with the information already available across trusted devices and apps.
A person preparing for a meeting could look at a conference room and see the agenda, participant names and relevant documents arranged around the table. A traveler could look across a train station and receive directions connected to the correct platform, departure time and digital ticket. A homeowner could examine a room and see live information from temperature, air-quality and energy sensors.
The physical environment becomes the interface.
Vision Pro Is the Laboratory
Vision Pro is the obvious development platform for this idea because it already offers the cameras, displays, sensors and processing required for advanced spatial understanding. Its size and price limit broad adoption, but those same characteristics allow Apple and developers to test experiences that would be harder to build first on lightweight glasses.
ARK augmented reality on Vision Pro could become especially useful in enterprise environments. Apple already promotes the headset for employee training, product design, field service, collaboration and specialized visualization.
A worker could enter an unfamiliar facility and receive contextual instructions attached to real equipment. An engineer could inspect a physical prototype while design changes, performance data and maintenance history appear around it. A new employee could learn a workflow through spatial guidance generated from company manuals and operational knowledge.
The system would not need to display every available fact. It would need to understand which information fits the current task.
That is where AI knowledge becomes more valuable than a traditional AR overlay. Too much information can be as disruptive as too little. A strong system should filter, prioritize and explain rather than cover the room with floating labels.
The iPhone Could Bring ARK to More People
Vision Pro may be the development environment, but iPhone could provide the scale. The iPhone already combines cameras, LiDAR on Pro models, location, motion sensing, Visual Intelligence and Apple Intelligence.
An iPhone-based ARK experience would be less continuous because users would need to hold up the device. It could still deliver useful knowledge interaction without requiring a headset.
A user could point the camera at a plant and receive care guidance based on its species, visible condition, local weather and placement in the room. Someone assembling furniture could receive generated guidance positioned over the actual parts. A shopper could compare products by looking at them rather than manually searching for each model.
The difference from ordinary visual search would be interaction. The user could ask follow-up questions, change the goal and let the system update the visual guidance.
Future glasses could eventually make the experience persistent. The iPhone would help Apple develop the intelligence, privacy controls and app ecosystem before lightweight eyewear becomes ready.
A World That Explains Itself
The most ambitious version of ARK augmented reality is a world in which information is attached to objects, places and situations only when requested or needed.
A city could become understandable without searching through maps, review sites and separate transit apps. Buildings could reveal history. Streets could explain temporary closures. Restaurants could surface reservations, dietary options and accessibility details. Public transport could show the correct entrance and platform.
Inside a home, Apple’s knowledge layer could explain energy use, identify maintenance problems and guide repairs. In a classroom, physical models could become interactive lessons. In healthcare, patients could receive visual instructions for approved home procedures or medication devices.
The experience would depend on context rather than menus. The user looks, asks and receives information positioned where it belongs.
This is the transition from augmented reality as decoration to augmented reality as understanding.
Privacy Will Decide Whether It Works
A knowledge layer capable of understanding the physical world also creates serious privacy questions. The system may see homes, workplaces, documents, faces, screens and private conversations. The more context it receives, the more useful it becomes. The same access can also make it invasive.
Apple’s privacy architecture could become one of its strongest advantages. On-device processing would allow some scene understanding without sending continuous camera feeds to external servers. Private Cloud Compute could handle more complex requests while preserving stricter controls than an ordinary cloud AI service.
Apple would also need visible controls over what is analyzed, remembered and shared. A user should know when the system is interpreting the environment and whether information is temporary or retained. Workplaces and public spaces would need rules for recording, identification and sensitive data.
ARK augmented reality cannot become socially acceptable if people feel that nearby devices are constantly cataloging them.
The successful version would behave less like surveillance and more like intentional assistance. The user asks for understanding. The system processes only what is needed. The knowledge disappears when the task ends unless the user chooses to save it.
Image Credit: Apple Inc.
Developers Could Build Knowledge Worlds
Apple would not need to create every knowledge experience itself. visionOS, ARKit, RealityKit and App Intents could let developers connect specialized knowledge with physical environments.
A medical company could build guidance for approved equipment. A manufacturer could create spatial maintenance systems. A university could attach interactive explanations to laboratories and museums. A retailer could create product comparisons based on inventory and customer preferences.
Apple could provide the shared intelligence layer: scene understanding, object recognition, language interaction, privacy permissions and spatial presentation. Developers would provide the trusted domain knowledge.
This division would be essential. General AI can explain many things, but professional environments require verified information. A generated answer about a historical building has different consequences from an answer about industrial machinery or medical treatment.
Apple’s platform could distinguish between general knowledge and certified domain sources, allowing users to see where information comes from before acting.
From Spatial Computing to Contextual Computing
Apple describes Vision Pro as a spatial computer because digital content can occupy physical space. ARK augmented reality suggests the next progression: contextual computing.
A spatial computer knows where digital content is placed. A contextual computer understands why the content is useful in that location, what the user is trying to accomplish and which knowledge should appear.
That would connect several Apple strategies that currently look separate. Vision Pro supplies spatial awareness. Apple Intelligence supplies reasoning and generation. Siri AI supplies conversation. Visual Intelligence supplies real-world understanding. The ecosystem supplies personal context.
Together, they could create a system that does not wait for users to open the correct app and search through the correct menu. The environment itself becomes the starting point.
Apple’s opportunity is to make that interaction restrained rather than overwhelming. The company does not need to cover reality with digital noise. It can use design, privacy and contextual intelligence to make information appear only when it improves the moment.
ARK augmented reality offers a useful description of that future. Reality remains visible. Knowledge becomes interactive. The computer begins to understand the world in front of the user instead of asking the user to translate everything into a search box.
Summer beta season is in full swing, with a new wave of testers coming aboard via the just-released public OS 27 betas. While visionOS hasn’t ever been included in the public beta program, now is as good a time as any to check in on visionOS 27. What’s it like living with the features Apple highlighted at WWDC, and if you’re jumping on the public betas with your other devices, is it a good time to give the visionOS 27 developer beta a try, too? Let’s dig in and find out.
Siri AI
Given the massive overhaul Siri is receiving this year and the fact that the Vision Pro has always been a little behind when it comes to Apple Intelligence features, I didn’t expect visionOS to get the full Siri AI treatment this year. Thankfully, I was wrong. Not only is Siri AI fully present in visionOS 27, but the experience of interacting with the assistant has even been adapted to fit a spatial context.
For starters, Siri is much more capable in visionOS 27 than ever before. It’s not just for opening apps anymore. With access to your personal context, Siri can handle tasks I would have never imagined prompting it for until now. Questions like, “When was the last time I ate at this restaurant?” or, “How many years in a row have I attended this local event?” used to lead me down time-intensive rabbit holes of scavenging emails, texts, calendar events, photos, and more. Now, Siri can pull all of that information for me and answer the question in just a few seconds.
That “in a few seconds” bit is important. At least this point in the beta cycle, every request I give the assistant takes some time. Even tasks like checking my calendar and opening apps have a bit of lag to them on my M2 Vision Pro. This seems to be a side effect of Siri’s new architecture: it can do more, but parsing input, coordinating resources, and performing tasks takes a little longer than you might expect.
Of course, Siri has access to world knowledge now, too. We’ve all run into the classic, “Here are some web results for you,” response when asking Siri a question it considers too complex to answer itself, but those canned responses are no more. Now, Siri can dive into its (scraped) trove of knowledge to answer questions about pretty much any topic: history, science, pop culture, and more. Siri is the all-knowing bot we’ve always wanted it to be; just be sure to double-check its answers because, as Siri will remind you, AI can get things wrong.
Interacting with Siri in visionOS 27 is a whole new experience. The purple, blue, and green sphere evocative of Siri’s previous era (before all of Apple’s other platforms switched to the rainbow outline UI that never came to visionOS) has been replaced with a semi-translucent glowing white orb matching the Siri aesthetic on iOS, iPadOS, and macOS. The circular “thinking” animation mimics what you see when you interact with Siri on other devices, too, making for a much more cohesive cross-device experience.
When you invoke Siri via voice, the orb appears with a window above it displaying the text of your conversation. You can grab the window and place it anywhere in your environment. To continue the conversation, you simply look at the Siri UI and start speaking again. It all feels very natural, and I appreciate the way you can converse with Siri while interacting with other windows in objects in visionOS, a task that doesn’t translate as well to Apple’s other platforms. For those on the M5 Vision Pro, Siri has a new, more natural voice with customizable speed and expressivity as well, though my M2 model isn’t capable of running the local model necessary to power these changes and the improved dictation system.
visionOS 27 also includes a gesture for activating Siri that’s a little nostalgic. If you hold your palm open and upward then look at it, you’re present with a Home button as before. But if you pinch and hold the Home button, a tiny Siri UI will appear above it, just like in the old days when iPhones had physical Home buttons. You have to hold your fingers together the whole time you’re speaking to Siri, which seems a bit strange to me, but once you’ve made your initial request, the standard Siri UI appears, and you can carry on as usual.
The new version of Siri also brings Visual Intelligence to the Vision Pro for the first time. You can ask Siri about the content of a virtual window or objects in your real-world environment. When Visual Intelligence is activated, the system displays a very cool animation of your environment being scanned, and then, Siri can use what it sees to answer your questions. I’ve used this to ask Siri about webpages, documents I’m working on, and items I see around me, and it’s very cool to have an always-available digital assistant who can see what I see. It did a great job identifying my water bottle and then pulling up the receipt from my email to let me know how old it was, which I found to be a great combination of Visual Intelligence with my personal context.
There’s also a new Siri app that contains a history of all your conversations with the assistant, including those synced from other devices. On visionOS, the Siri app is a horizontally-scrolling list of glassy cards that reminds me a lot of the Spatial Gallery app. It’s a handy way to pick back up on conversations started elsewhere, search for a previous answer, or simply interact with Siri via keyboard rather than voice.
At WWDC, Apple showed off a Siri mode where the orb persists in your environment, waiting for you to look at it and start a conversation. I have not been able to get that method to work yet. Once I start a conversation with Siri, I can keep the conversation window open and place it anywhere, but that’s not the same as having a small Siri UI sitting on my desk out of the way until I need it. I’ll keep my eyes peeled for it in future beta releases.
Siri AI is marked for release “later this year” (as opposed to the OS 27 updates listed as coming “this fall”), so there are still some rough edges to work out. Sometimes, conversations simply stop, with Siri telling me an error occurred. The Siri conversation UI will sporadically disappear, and I have to force quit the Siri app to get it to show up again. And Visual Intelligence sometimes struggles to understand what I’m trying to get it to look at, focusing on the wrong window or even the keyboard. But that’s beta life for you; it’s what I signed up for, and I’m trusting it will all be worked out before the public release.
Beta UI bugs aside, Siri AI is a huge upgrade for Apple’s digital assistant, and I’m happy to see visionOS getting the first-class treatment here. It isn’t simply ported over from iOS. It’s been carefully adapted for a spatial UI, and it makes for a powerful overall experience.
There is one other major way Siri differs on visionOS from other platforms: it hasn’t been integrated with Spotlight Search. For now, at least, the search feature on visionOS is dedicated to finding apps, app content, and web results, without even an ‘Ask Siri’ button in sight. With so many other ways to interact with Siri on the platform, it might make sense to keep it separate from search, but it’s certainly an oddity given the way the two features have been merged on every other platform. I’m still trying to figure out if I find this a helpful separation or a missed opportunity for cross-device cohesion.
Panoramas and Environments
There’s a lot more to visionOS 27 than just AI. Big changes are coming to panoramas, including the ability to act as persistent Environments. And, of course, Apple has to throw in a new Environment of its own, too.
Over the past couple of years, Apple has continually pushed the capabilities of its spatial photo conversion technology. Last year, that came in the form of spatial scenes across all of the company’s platforms, and this year, it’s coming to panoramas. In visionOS 27, you can convert panoramas into spatial scenes, adding layers of depth and perspective to the already stunning experience of viewing panoramas on the Vision Pro.
Being immersed in panoramic photos in visionOS was already breathtaking. This takes it to a whole new level. Experiencing memories in deeper ways than I ever thought possible is one of my favorite uses for the Vision Pro, and now, I can use it to revisit places I’ve been and feel like I’m standing there once again.
The system takes this experience one step further by allowing you to set panoramic spatial scenes as custom Environments. In the Environments view, there’s a new folder called My Environments where you can add up to 34 panoramas from your photo library and use them as immersive backgrounds for your content. You can even adjust the immersion level to make the photo wrap around you.
I love that we now have the option to use our own photos as Environments, but it does come with some tradeoffs. Panoramic photos are static, so they don’t have the subtle motion elements that make Environments feel alive. They also don’t expand as far vertically as Environments do, which means you’re likely to see your real-world surroundings if you look up or down. Still, this is the first time visionOS users have been able to set their own custom Environments using their own photos or images purchased online, so it’s a win. It’s definitely inspired me to start taking more panoramas than I did before.
The new built-in Thórsmörk Environment is gorgeous. Apple always knows how to pick the perfect spot. Between the snow, the slow-moving river, and the aurora borealis in the sky at night, it offers a beautiful, peaceful place to relax, watch a movie, or trick your mind into cooling off on a hot summer’s day.
Safari
Spatial browsing is continuing to mature in visionOS 27, this time with the help of curved windows. Safari is one of the few built-in apps – Freeform and TV being the others – that are receiving special curved window modes this year, similar to what we’ve seen in the past with Mac Virtual Display. When a window is expanded beyond a comfortable width for side-to-side viewing, it automatically starts to curve, wrapping around the user’s head to make it easier to take in the window’s contents.
To be honest, I’m not sure how useful curved windows will be for browsing normal websites. While some, such as Apple’s OS Overview page are optimized to display content like image galleries at such wide aspect ratios, most sites don’t expand beyond a certain point, displaying blank space on either side of a centered column of content. Perhaps that will change with time, but for now, I don’t foresee these ultra-wide windows catching on for single-tab browsing.
Where the curved Safari window does shine, though, is in the browser’s new multi-tab view. A new button on the right side of the tab bar activates the view, which displays all open tabs side by side in a horizontally-scrolling curved window. These aren’t previews, either. Each tab can be scrolled, navigated, interacted with, and even closed as it if it were an independent browser window.
I’ve already found numerous use cases for this view in my own workflows: editing article previews, comparing product pages, and reviewing multiple research sources at once, just to name a few. Displaying multiple tabs at once in a large, ergonomic window view makes for a fantastic interaction method that I think could apply far beyond Safari webpages and sports multiviews in TV. I imagine this feature will be used far more than last year’s spatial browsing.
Apple Intelligence can sort your bookmarks and Reading List entries based on topic if you like, though the automatic tab sorting feature present on other platforms is curiously missing. Personally, I like managing my own tabs anyway, but add that feature to the long list of strange feature parity omissions on visionOS along with Focus filters, photo editing, and – as of the current beta – Describe a Shortcut.
Platform Improvements
There’s no doubt that this is a refinement year for Apple’s platforms beyond AI. The company is taking the opportunity to revisit and optimize OS features that have long been considered mature, and that’s the case even for visionOS, a relative newcomer.
The time it takes the Vision Pro to connect to Wi-Fi upon power-up has been reduced significantly. Given the device’s short battery life and tendency to go into deep sleep when not in use, this is a quality-of-life change that you’re going to feel. When I turn my M2 Vision Pro on, I can’t log in quickly enough to open Safari or the TV before it’s connected to the Internet. That definitely was not the case before visionOS 27, and I appreciate it.
I’ve long been on the record as a critic of the notification system on visionOS, but it’s taking a big leap forward this year with expanding notifications. When an app icon appears at the top of your view to alert you to a notification, you expand it with your gaze and actually see what you’re being notified about. You can even long-press a Messages notification to reply directly without the need to open the full app, which is so convenient. And with any app, just seeing notifications in full without losing the context of what I’m doing is a major improvement.
Unlike notifications, I was a fan of the redesigned Control Center in visionOS 26. Alas, Control Center has been redesigned again, now featuring a three-column layout instead of a single window. I’m still getting used to the new look, but it does make sense conceptually to split different types of controls into separate columns, so I’m hoping this will make the feature more intuitive once I’ve adapted to it. Regardless of any other efficiency wins, though, this redesign gets my approval simply because it finally brings the AirPlay menu to the top level of Control Center, saving me an extra tap every time I want to switch sound output to my AirPods.
Sharing screenshots and videos from visionOS is going to be much easier thanks to high-quality screen recordings, which can be enabled in the Settings app. Now, the Vision Pro can take unfoveated videos of its screen for up to three minutes, as well as full-quality screenshots. In the past, on-device screen recordings were fuzzy outside of the viewer’s focus, resulting in a poor representation of the visionOS experience and requiring a Developer Strap and Xcode on a Mac as a workaround. This change alone is going to make my review process much simpler, and it’ll make it easier for all Vision Pro users to show others what using the device is like.
visionOS 27 now supports extra-small widgets, which are basically Lock Screen widgets brought to life in the user’s space. Like any other spatial widget, they can be placed on a wall or a horizontal surface such as a desk, and they are entirely customizable. Apple is introducing its own extra-small Mac Virtual Display widget for starting up a virtual connection with a Mac even if it’s asleep. Extra-small widgets take up much less space on a desk than even small ones, and there are already a bunch of them available from iPad apps running on the Vision Pro, so I think they’re going to be very useful.
Finally, there are some other Mac Virtual Display improvements included in visionOS 27. Virtual Display sessions can optionally persist even when you take your Vision Pro off, and macOS can stream spatial previews of 3D objects directly to visionOS with instant updates and two-way editing. I don’t have a Mac running Golden Gate yet, so I haven’t been able to try these features myself, but I plan to soon. If you work with 3D objects on your Mac and Vision Pro, I imagine this will speed up your workflow significantly.
And that’s visionOS 27 – so far, at least. There’s a still a lot more summer left: bugs to be squashed, refinements to be made, and third-party apps to be updated and introduced. My experience with the new version up to this point has been very positive, and I think it’ll make for a great update.
If you want to try out some of these features early, you can enroll in the Developer Beta anytime in the Software Update section of the Settings app. Whether you upgrade now or hold off for the public release, Apple’s got some great things in store with visionOS 27, and I look forward to continuing my testing over the summer in preparation for a full review this fall.
Durante décadas se asumió que el genio infantil acababa en aislamiento o crisis. Un seguimiento de cuatro décadas y un metaanálisis de neuroimagen cuentan una historia distinta.
Un reciente estudio de cohorte prospectiva asocia la exposición al calor durante el embarazo y la infancia con un desarrollo más lento del tálamo, una estructura clave para la conducta adolescente.
Una relación de pareja sólida y de apoyo no solo mejora el bienestar emocional, sino que puede influir de forma directa en la recuperación del corazón tras un infarto u otra patología cardiovascular, según un amplio análisis científico reciente.
Cuando una persona sufre un infarto de miocardio o es diagnosticada con una enfermedad cardíaca, el impacto va mucho más allá del daño físico inmediato. El miedo, la incertidumbre y los cambios bruscos en la vida cotidiana afectan tanto al paciente como a quien comparte su día a día. Durante décadas, la cardiología ha puesto el foco casi exclusivamente en el tratamiento médico individual, pero una nueva revisión científica plantea que este enfoque deja fuera un elemento clave del proceso de recuperación: la relación de pareja.
La evidencia, publicada en Canadian Journal of Cardiology, una revista médica internacional de referencia en el ámbito de la cardiología, sugiere que el vínculo emocional y el apoyo mutuo dentro de una relación estable pueden convertirse en un auténtico factor protector del corazón. No se trata solo de sentirse acompañado, sino de un efecto medible sobre los hábitos de vida, la salud mental y, en última instancia, los resultados cardiovasculares.
Una mirada más amplia a la rehabilitación cardíaca
Las enfermedades cardiovasculares siguen siendo la principal causa de muerte a nivel mundial. A pesar de los avances en fármacos, técnicas quirúrgicas y programas de rehabilitación, las tasas de recaídas y las dificultades para mantener cambios de estilo de vida saludables continúan siendo un desafío. En este contexto, un grupo de investigadores canadienses decidió analizar de forma sistemática qué ocurre cuando la pareja del paciente se involucra activamente en el proceso de recuperación.
El equipo revisó decenas de estudios centrados en las llamadas intervenciones de pareja, programas diseñados para incluir tanto al paciente como a su compañero o compañera sentimental en la rehabilitación cardíaca. Los resultados fueron consistentes: en el 77 % de los estudios analizados se observaron mejoras claras en comportamientos clave como la alimentación saludable, la actividad física regular y la adherencia correcta a la medicación prescrita.
Además de estos cambios conductuales, los investigadores encontraron beneficios tanto en la salud cardiovascular como en el bienestar psicológico de los participantes. La calidad de la relación, la comunicación y el apoyo emocional emergieron como factores estrechamente ligados a un mejor pronóstico.
Heather E. Tulloch, psicóloga de la salud del University of Ottawa Heart Institute y una de las autoras del análisis, subraya la relevancia de estos hallazgos. “Desde hace tiempo sabemos que la calidad de una relación influye en la salud del corazón”, explica. “Lo que resulta sorprendente es lo poco que los programas de rehabilitación se han centrado realmente en la pareja como parte activa del tratamiento”.
Cuando la enfermedad afecta a dos personas
Un evento cardíaco agudo no es una experiencia aislada que afecte solo a quien lo sufre físicamente. La pareja suele vivir el episodio con una intensidad emocional similar, marcada por el miedo a la pérdida, la ansiedad ante el futuro y la necesidad de asumir nuevos roles. En muchos casos, quien acompaña al paciente se convierte de repente en cuidador, apoyo emocional y gestor de la vida cotidiana.
Según Tulloch, esta transformación puede tener efectos ambivalentes. “A veces, una crisis cardíaca fortalece el vínculo”, señala. “Pero con frecuencia introduce tensiones importantes: cambios en la dinámica de la pareja, preocupaciones económicas, estrés constante y una sensación de vulnerabilidad que no siempre se sabe cómo manejar”.
Estos factores emocionales no son secundarios. El estrés crónico, la ansiedad y la depresión están bien documentados como elementos que pueden interferir en la recuperación cardiovascular. Ignorarlos supone dejar sin atender una parte esencial del proceso de sanación.
Las cifras ayudan a dimensionar la magnitud del problema. En Canadá, uno de cada doce adultos mayores de veinte años vive con una enfermedad cardíaca, lo que equivale a unos 2,6 millones de personas. En la Unión Europea, las patologías cardiovasculares son responsables de aproximadamente un tercio de todas las muertes y constituyen la causa de uno de cada cinco fallecimientos antes de los 65 años. Detrás de cada uno de estos casos suele haber una pareja o una familia que también carga con el impacto de la enfermedad.
El papel activo de la pareja en la salud del corazón
Las intervenciones centradas en la pareja parten de una idea sencilla pero poderosa: el entorno más cercano del paciente influye de forma decisiva en su comportamiento diario. La persona con la que se comparte el hogar suele participar en la compra de alimentos, la preparación de las comidas, la organización del tiempo libre y la gestión de las rutinas médicas. Integrar a la pareja en la rehabilitación permite alinear objetivos y crear un entorno coherente con las recomendaciones médicas.
En la práctica, estos programas fomentan que ambos miembros adopten hábitos más saludables. Cocinar de forma equilibrada deja de ser una obligación individual y se convierte en una decisión compartida. Salir a caminar o realizar ejercicio moderado pasa a ser una actividad conjunta, no una carga solitaria. Incluso la toma regular de la medicación se ve reforzada cuando existe un apoyo cercano y constante.
Los estudios analizados muestran que este enfoque no solo mejora la adherencia a largo plazo, sino que reduce la sensación de aislamiento del paciente. Al mismo tiempo, la pareja se siente parte del proceso, con un rol definido y reconocido por los profesionales de la salud.
No menos importante es el beneficio para quien acompaña. Diversas investigaciones indican que las parejas de pacientes cardíacos suelen compartir factores de riesgo similares, como sedentarismo, dieta poco saludable o niveles elevados de estrés. Al participar activamente en la rehabilitación, también reducen su propio riesgo cardiovascular.
Más allá de los hábitos físicos
A pesar de los resultados alentadores, los autores del análisis advierten que todavía existen lagunas importantes en el conocimiento. La mayoría de los programas se han centrado en los cambios de comportamiento físico, mientras que los aspectos emocionales y relacionales han recibido menos atención sistemática.
La calidad de la comunicación, la gestión de los miedos compartidos y el impacto de la enfermedad en la intimidad son elementos que influyen tanto en la relación como en la recuperación. Sin embargo, estos factores no siempre se evalúan de forma rigurosa en los estudios clínicos.
“Sabemos que las emociones y la relación importan, pero aún no medimos lo suficiente cómo cambian ni cómo influyen a largo plazo”, señala Tulloch. Para los investigadores, incorporar evaluaciones psicológicas y relacionales más completas permitiría diseñar intervenciones más eficaces y adaptadas a las necesidades reales de cada pareja.
Este enfoque encaja con una tendencia más amplia en la medicina contemporánea, que busca avanzar hacia modelos de atención centrados no solo en el paciente, sino también en su entorno familiar y social. En el caso de las enfermedades crónicas, esta perspectiva resulta especialmente relevante.
Hacia un modelo de atención escalonada
Uno de los principales aportes del trabajo es la propuesta de un modelo de atención escalonada dentro de la rehabilitación cardíaca. Este planteamiento sugiere que las parejas sean evaluadas de forma sistemática para detectar niveles elevados de estrés, síntomas de ansiedad o dificultades en la relación.
En función de los resultados, se podría ofrecer desde información básica y apoyo educativo hasta intervenciones psicológicas más especializadas. De este modo, los recursos se ajustarían a las necesidades concretas de cada caso, evitando tanto la sobrecarga del sistema como la falta de apoyo en situaciones de mayor vulnerabilidad.
El equipo investigador insiste en la importancia de que futuros estudios incluyan a poblaciones diversas y tengan en cuenta variables como la edad, el contexto socioeconómico y el tipo de relación. También subrayan la necesidad de medir de forma conjunta los resultados en ambos miembros de la pareja, y no solo en el paciente.
“Tenemos que dejar de tratar el corazón como un órgano aislado”, afirma Tulloch. “Cuidar la relación puede generar nuevos hábitos saludables, fortalecer la resiliencia mental y ofrecer un impulso adicional a la recuperación cardíaca. Al final, se trata de mejorar la salud de dos personas y del vínculo que las une”.
La evidencia acumulada apunta en una dirección clara: el amor y el apoyo mutuo no sustituyen a los tratamientos médicos, pero pueden convertirse en un complemento poderoso. Integrar la dimensión relacional en la cardiología moderna no solo humaniza la atención, sino que abre una vía prometedora para mejorar los resultados de una de las enfermedades más extendidas y letales del planeta.
Além do investimento de 5,8 milhões nos dois primeiros hubs regionais, a Comissão Europeia avança agora com um novo concurso para reforçar a capacidade de reparação de cabos submarinos. As duas iniciativas fazem parte do plano de ação para a segurança dos cabos, apresentado no ano passado.
A star-forming galaxy in the early universe might have sent a ghostly particle known as a neutrino crashing into the ice at Earth’s South Pole, after an 11 billion-year journey through space.
Fortunately, a team of physicists at Virginia Tech has a plan for preventing that before it happens, which utilizes an existing variety of particle detection to spot and track down such illicit nuclear development before it becomes a major concern.
The team, led by Virginia Tech researcher Patrick Huber, says that antineutrino detectors could hold the key to preventing misuse of nuclear fusion, as described in new research published in Physical Review Applied.
Antineutrino Detection
Fusion reactors generate large quantities of energy by fusing hydrogen nuclei, which results in powerful neutron emissions. This makes such systems ideal for energy production, since they aren’t reliant on the same kinds of materials used in weapons production.
Still, there are potential concerns, since the neutrons produced by fusion reactors could potentially be used to convert uranium-238—the most common isotope of uranium found in nature—into plutonium-239. The latter isotope is the primary fissile component used in the production of nuclear weapons (along with another variety of uranium isotope: uranium-235).
Given the abundance of uranium-238, scientists warn of the potential for seemingly innocuous fusion reactors being used for the generation of plutonium-239. The only way to prevent this from happening is the use of monitoring systems that could detect such activity.
Fortunately, such detection systems already exist.
The Hunt for Illicit Plutonium Production
According to Huber and his team, antineutrino detectors could hold the key to overcoming this problem.
As one of the byproducts of nuclear reactions, antineutrinos—the very low-mass, chargeless neutrino variants (essentially the antimatter counterparts of neutrinos) can neither be blocked using shielding, nor can they be produced by any known non-nuclear processes.
Because of this, they offer a perfect source for detecting nuclear power generation, including those being operated covertly by any potential bad actors.
The Footprints of Antineutrinos
Given the antineutrino “footprint” produced by the fusion process, Huber and his colleagues used simulations to determine if the signal produced by uranium-238’s absorption of neutrons, which releases antineutrinos as they become split into smaller nuclei, compared with normal nuclear reactor operation. They also used their simulations to make comparisons to another known source of antineutrinos: emanations coming from space.
“We find that even a relatively small detector should be able to confirm production rates of a few kilograms of plutonium over 30 days, despite the cosmogenic background and the antineutrino emissions associated with neutron activation of reactor components,” Huber and the team write in their new paper.
Any such detector could also be operated at a considerable distance from the source reactor, which would make such detection systems practical for use at various facilities.
Fundamentally, the team believes the method their work describes could greatly promote efforts to curb the proliferation of illicit nuclear systems for use in making weapons.
Micah Hanks is the Editor-in-Chief and Co-Founder of The Debrief. A longtime reporter on science, defense, and technology with a focus on space and astronomy, he can be reached atmicah@thedebrief.org. Follow him on X @MicahHanks, and at micahhanks.com.
JUNO’s first results have launched a new era of precision neutrino physics and brought scientists closer to solving the neutrino mass mystery. The Jiangmen Underground Neutrino Observatory (JUNO) has achieved its first major scientific milestone. On June 10, its debut physics result was featured as a cover article in Nature. Using 59 days of high-quality [...]
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