Chegou hoje ao Apple TV o primeiro episódio da quarta temporada de “Ted Lasso”, série aclamada do serviço estrelada por Jason Sudeikis. Dividida em dez episódios, os nove capítulos remanescentes chegarão ao catálogo do streaming da Maçã todas as quartas-feiras, até o dia 7 de outubro.
A nova temporada se concentra em um novo momento na trajetória de Ted: ele retorna a Richmond para comandar um time de futebol feminino da segunda divisão inglesa. Com o desenrolar da história, ele e a sua equipe aprenderão a arriscar antes de possuírem todas as respostas, encarando desafios até então inimagináveis.
Com o roteiro de Sarah Walker, Phoebe Walsh (que também são creditadas como produtoras), Goldstein (que também é produtor), Julia Lindon e Dylan Marron (que exerce também a função de editor de roteiro), a produção executiva fica a cargo de Joe Kelly, Jane Becker, Jamie Lee e Bill Wrubel — além de Goldstein, Hunt e Walsh. O vencedor do Emmy Jack Burditt também assume esse posto na nova temporada.
O Apple TV está disponível no aplicativo Apple TV em mais de 100 países e regiões, seja em iPhones, iPads, Apple TVs, Macs, dispositivos Android, smart TVs ou online — além de também estar em aparelhos como Roku, Amazon Fire TV, Chromecast com Google TV, consoles PlayStation e Xbox. O serviço custa R$29,90 por mês, com um período de teste gratuito de 7 dias. Por tempo limitado, quem comprar e ativar um novo iPhone, iPad, Apple TV ou Mac ganha 3 meses do Apple TV. Ele também faz parte do pacote de assinaturas da empresa, o Apple One.
NOTA DE TRANSPARÊNCIA: O MacMagazine recebe uma pequena comissão sobre vendas concluídas por meio de links deste post, mas você, como consumidor, não paga nada mais pelos produtos/serviços usando os nossos links de afiliado.
Callum Turner makes a surprise virtual appearance during Apple TV’s San Diego Comic-Con panel to debut the first teaser for the highly anticipated science fiction series “Neuromancer,” premiering globally on Apple TV on January 22, 2027.
Saturday at Apple TV’s San Diego Comic-Con panel, Callum Turner made a surprise virtual appearance to unveil the first teaser for the highly anticipated new science fiction series “Neuromancer,” based on the award-winning novel of the same name by William Gibson. The 10-episode series stars Turner, Briana Middleton, Mark Strong, Joseph Lee, Peter Sarsgaard, and Clémence Poésy, and premieres globally on Apple TV on Friday, January 22, 2027, with two episodes, followed by one new episode every Friday through March 19, 2027.
“Neuromancer” follows a damaged, top-rung super-hacker named Case (Turner) who is thrust into a web of digital espionage and high-stakes crime with his partner Molly (Middleton), a razor-girl assassin, as they pull off a heist on a corporate dynasty with untold secrets. The ensemble cast also includes Max Irons, Dane DeHaan, Junia Rees, Jordan Kouamé, Emma Laird, Marc Menchaca, André De Shields and Isabella Pappas.
Produced by Paramount Television Studios and Anonymous Content, the series is created for television by Graham Roland and JD Dillard. Roland also serves as showrunner and executive producer alongside Dillard, David Levine, Garrett Kemble and Zack Hayden for Anonymous Content; Aubrey “Drake” Graham, Adel “Future” Nur and Jason Shrier for DreamCrew Entertainment; and Jennifer Haley and William Gibson, who also executive produce. Dillard serves as director of the first three episodes.
The debut novel by Gibson, “Neuromancer” has been praised as one of the first and most respected works in the cyberpunk genre and has received numerous accolades, including the Nebula Award, the Philip K. Dick Award and the Hugo Award. The novel served as the first book in the “Sprawl” trilogy and was followed by “Count Zero” and “Mona Lisa Overdrive.”
Apple TV offers premium, compelling drama and comedy series, feature films, groundbreaking documentaries, and kids and family entertainment, and is available to watch across all of a user’s favorite screens. After its launch on November 1, 2019, Apple TV became the first all-original streaming service to launch around the world, and has premiered more original hits and received more award recognitions faster than any other streaming service in its debut. To date, Apple Original films, documentaries and series have been honored with 850 wins and 3,800 award nominations, including multi-Emmy Award-winning and history-making comedies “The Studio” and “Ted Lasso,” global cultural phenomenon “Severance,” Apple’s most-viewed drama, “Pluribus,” Academy Award Best Picture winner “CODA” and Academy Award winner “F1,” the highest-grossing sports feature of all time.
MacDailyNews Take: “Neuromancer” fans, what do you think?
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O Apple TV divulgou hoje o aguardado trailer da quarta temporada de “Ted Lasso”, cujo primeiro episódio estreará no dia 5 de agosto (quarta-feira da semana que vem).
Com um total de dez episódios, os nove capítulos remanescentes chegarão ao catálogo do streaming da Maçã às quartas-feiras, até o dia 7 de outubro.
Eis o trailer:
E também a versão dublada em português do Brasil:
Tim Cook, CEO 1Chief executive officer, ou diretor executivo. da Apple, também compartilhou o trailer no X:
Welcome home, Ted! Can’t wait to cheer on the Lady Greyhounds in the new season! https://t.co/g3w8xk0tFF
Bem-vindo de volta, Ted! Mal posso esperar para torcer pelas Lady Greyhounds na nova temporada! – É bom estar de volta. #TedLasso retorna em 5 de agosto.
Estrelada por Jason Sudeikis, a nova temporada segue com o foco em Ted, que retorna a Richmond para enfrentar o seu maior desafio até aqui: comandar um time feminino da segunda divisão do futebol inglês. Com o desenrolar da história, ele e a equipe aprendem a arriscar antes de terem todas as respostas, encarando desafios que até então pareciam inimagináveis.
O roteiro é assinado por Sarah Walker e Phoebe Walsh (que também são creditadas como produtoras), ao lado de Goldstein (que também é produtor), Julia Lindon e Dylan Marron (que exerce também a função de editor de roteiro). Além de Walker, Goldstein, Hunt e Walsh, a produção executiva é assinada por Joe Kelly, Jane Becker, Jamie Lee e Bill Wrubel. O vencedor do Emmy Jack Burditt também chega para a nova temporada.
O Apple TV está disponível no aplicativo Apple TV em mais de 100 países e regiões, seja em iPhones, iPads, Apple TVs, Macs, dispositivos Android, smart TVs ou online — além de também estar em aparelhos como Roku, Amazon Fire TV, Chromecast com Google TV, consoles PlayStation e Xbox. O serviço custa R$29,90 por mês, com um período de teste gratuito de 7 dias. Por tempo limitado, quem comprar e ativar um novo iPhone, iPad, Apple TV ou Mac ganha 3 meses do Apple TV. Ele também faz parte do pacote de assinaturas da empresa, o Apple One.
NOTA DE TRANSPARÊNCIA: O MacMagazine recebe uma pequena comissão sobre vendas concluídas por meio de links deste post, mas você, como consumidor, não paga nada mais pelos produtos/serviços usando os nossos links de afiliado.
O retorno da produção, que conta com Reese Witherspoon e Jennifer Aniston como protagonistas e produtoras executivas, está marcado para o ano que vem, com boa parte do elenco já conhecido e algumas adições.
Ao longo de suas quatro temporadas, “The Morning Show” já foi indicada a diversas premiações (vencendo algumas delas) e debateu temas como a pandemia de COVID-19 e assédio, tendo como pano de fundo os bastidores do telejornalismo.
O Apple TV está disponível no aplicativo Apple TV em mais de 100 países e regiões, seja em iPhones, iPads, Apple TVs, Macs, dispositivos Android, smart TVs ou online — além de também estar em aparelhos como Roku, Amazon Fire TV, Chromecast com Google TV, consoles PlayStation e Xbox. O serviço custa R$29,90 por mês, com um período de teste gratuito de 7 dias. Por tempo limitado, quem comprar e ativar um novo iPhone, iPad, Apple TV ou Mac ganha 3 meses do Apple TV. Ele também faz parte do pacote de assinaturas da empresa, o Apple One.
NOTA DE TRANSPARÊNCIA: O MacMagazine recebe uma pequena comissão sobre vendas concluídas por meio de links deste post, mas você, como consumidor, não paga nada mais pelos produtos/serviços usando os nossos links de afiliado.
Apple Intelligence on-device processing remains Apple’s most convincing argument in artificial intelligence. Rivals may lead in public model rankings, chatbot adoption and the speed of releasing experimental features, but Apple is building AI inside devices people already use for their most personal work.
That distinction changes the definition of winning.
Apple does not need every iPhone owner to open a separate chatbot app. It can place intelligence inside Messages, Mail, Photos, Notes, Shortcuts, Siri and third-party apps. Local models can operate on private information without automatically transferring that information to an external server.
The strategy appeared slow while the AI market measured progress through chatbot launches and model size. It looks more competitive as the industry confronts cloud costs, privacy concerns, unreliable connectivity and the difficulty of turning general-purpose AI into useful daily actions.
In his video “Apple Lost the AI Race,” Marques Brownlee captures the contradiction in one concise line:
“Apple lost the AI race. Actually, Apple won the AI race.”
The apparent reversal describes Apple’s current position well. Apple may have lost the first race for public perception. It is increasingly prepared for the longer contest over where AI runs, how it reaches users and who controls the personal data required to make it useful.
Apple Intelligence On-Device Changes the AI Relationship
Most popular generative AI products began as cloud services. A user sends a request to a remote model, the provider processes it in a data center and the answer returns through an app or browser.
That structure supports enormous models but creates dependence on internet access, server capacity and continuing infrastructure expense. It also means personal prompts leave the device, even when the provider uses strong security and privacy policies.
Apple Intelligence on-device begins from the opposite direction. The iPhone, iPad or Mac first attempts to handle the request locally using Apple Foundation Models optimized for Apple silicon.
That local model does not need to know everything available on the internet. It needs to understand the user’s request, work with relevant personal context and complete common tasks efficiently.
The difference is similar to owning a capable computer rather than renting every calculation from a distant server. Cloud systems remain useful for difficult workloads, but they no longer need to participate in every interaction.
For Apple, local processing is also a product advantage. The company controls the chip, operating system, model architecture, memory system and apps. Each layer can be designed around the others rather than assembled from unrelated services.
Image Credit: Apple Inc.
Privacy Becomes a Technical Feature
Technology companies frequently describe privacy as a policy. Apple is trying to make it part of the AI architecture.
When a request runs entirely on an iPhone, the associated data does not need to leave the device. A model can work with messages, appointments, photos or app content without uploading that personal context to a conventional cloud account.
That structure is especially relevant to Siri AI. A truly personal assistant needs access to information that users may never place willingly inside an ordinary chatbot: private conversations, travel plans, health-related details, work documents and relationships between people.
An assistant becomes more useful as it gains context. It also becomes more invasive when the same context is stored, analyzed or used for model training outside the device.
Apple Intelligence on-device allows Apple to expand personal context while maintaining a stronger boundary around it. The assistant can understand information locally, perform an action and discard temporary processing data without building a permanent advertising or training profile.
This is difficult for competitors whose businesses depend on cloud services, large-scale data collection or engagement inside separate AI products. Apple’s hardware business gives it different incentives.
Private Cloud Compute Extends the Model
Not every AI task can fit within the power and memory limits of an iPhone. Apple uses Private Cloud Compute when a request requires a larger model.
Private Cloud Compute is designed to extend the privacy architecture of Apple devices into the cloud. User information is processed only for the request, is not stored and is not made available to Apple for unrelated purposes.
Independent researchers can inspect software images used by the system, creating an unusual level of outside visibility into the cloud environment. Apple has also expanded the architecture while maintaining control over the software and privacy protections used for processing.
This creates a layered system rather than a simple choice between local and cloud AI.
Apple Intelligence first determines whether the device can handle the request. More complex work can move to Private Cloud Compute. External models may be offered separately when the user chooses to involve them.
The user does not need to understand the technical path behind every answer. The system chooses the smallest and most private environment capable of completing the task.
Apple Silicon Was an AI Investment
Apple’s control of its processors has become one of its largest advantages in the AI era.
The Neural Engine first appeared years before generative AI became a consumer obsession. It supported Face ID, photography, speech recognition and other machine-learning tasks. Apple continued expanding that hardware across the iPhone, iPad and Mac.
Those investments now provide a large installed base of devices designed to run machine-learning workloads locally. Recent Apple chips combine CPU, GPU, Neural Engine and unified memory in one architecture that can move information efficiently between different types of processing.
The same design helps foundation models run without requiring the power consumption or separate memory systems associated with conventional data-center hardware.
Apple also controls the operating systems that schedule those workloads. A model can be optimized for the exact processors, memory limits and energy behavior of supported devices.
Competitors can build excellent models, but they often need to support hardware from several manufacturers with inconsistent capabilities. Apple can decide that an AI feature requires a specific generation of silicon and design the complete experience around it.
Developers Gain a Local Model
The Foundation Models framework extends Apple Intelligence on-device beyond Apple’s own apps. Developers can use the system model through native Swift tools rather than shipping a separate large model or paying for every cloud request.
An app can generate structured content, interpret natural language or use tool calling while keeping supported processing on the device. Apple handles model delivery and system integration.
This can reduce operating costs for developers. A cloud-based AI feature creates an ongoing expense each time a user submits a request. Local inference uses hardware the customer already owns.
It can also improve reliability. Features may remain available without an internet connection and respond without waiting for a remote service.
The framework encourages a quieter form of AI adoption. Apps do not need to add a prominent chatbot tab or redesign themselves around a conversational interface. Intelligence can appear inside existing workflows as a useful capability.
That is where Apple’s strategy may reach scale. Millions of apps can incorporate small AI functions that users experience as normal software behavior rather than as visits to an AI destination.
Image Credit: Apple Inc.
The Installed Base Is Apple’s Distribution Advantage
The AI race is often discussed as a contest between models. Consumer adoption also depends on distribution.
Apple can deliver new intelligence features through operating-system updates across the iPhone, iPad, Mac and Vision Pro. Users do not need to create another account, choose a provider or transfer their personal information into a new service.
Siri already occupies the system interface. Apple Intelligence can work across first-party apps. Developers can connect their own features through Apple frameworks.
The scale is difficult to reproduce. A model provider may have stronger benchmark scores but still need users to download an app and consciously open it. Apple can introduce AI during actions people already perform: replying to a message, locating a photo, organizing a note or completing a shortcut.
This does not guarantee success. Apple must make Siri AI reliable, keep feature availability consistent and prove that local models can deliver enough capability to satisfy users accustomed to powerful cloud assistants.
The distribution advantage only becomes meaningful when the experience works.
Winning Without Building the Loudest Chatbot
Apple has made mistakes during its AI transition. Siri improvements arrived later than promised, regional regulations delayed features and competitors established powerful consumer brands before Apple completed its new system.
Those setbacks explain why the claim that Apple lost the AI race became persuasive.
They do not settle the outcome.
The first stage rewarded companies that released chatbots quickly and demonstrated increasingly large models. The next stage may reward systems that can integrate AI into ordinary life without demanding constant cloud access, high subscription costs or broad collection of personal information.
Apple Intelligence on-device is built for that stage. It uses hardware already in the user’s hand, protects more personal context locally and gives developers access to intelligence without requiring every interaction to become a server transaction.
Apple does not need to win every benchmark or release the most talkative assistant. It needs AI to become a reliable part of the devices people already trust.
Brownlee’s title works because both statements can be true. Apple lost the visible sprint that defined the early generative AI market. By concentrating on local processing, silicon, privacy and operating-system integration, it may already be positioning itself to win the race that follows.
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