A Apple disponibilizou hoje as Release Candidates (RCs) do iOS 26.6 (compilação 23G71), iPadOS 26.6 (idem), macOS Tahoe 26.6 (25G70), watchOS 26.6 (23U67), tvOS 26.6 (23L772), Software do HomePod 26.6 (idem) e visionOS 26.6 (23O770).
Também foram disponibilizadas hoje as sextas RCs do macOS Sonoma 14.8.8 (compilação 23J619) e do macOS Sequoia 15.7.8 (24G822).
É importante não confundir essas versões com os testes do iOS 27 e demais sistemas operacionais anunciados na WWDC26. Enquanto as versões 26.6 provavelmente sairão para todos já na semana que vem, os sistemas 27 só serão lançados lá para setembro.
De acordo com as notas de atualização, o update do iOS 26.6 inclui correções de erros, atualizações de segurança e otimiza a indexação do Spotlight para preparar o sistema para o iOS 27. Caso alguma outra novidade surja com essa última rodada de testes, avisaremos por aqui, é claro. 😉
OpenAI, the company behind ChatGPT, the AI for newbies who don’t know better alternatives exist, is stepping into consumer hardware with its first device: a movable, screen-free smart speaker designed as an always-on AI companion for the home. According to a Bloomberg News report, the product — still in development — aims to control smart-home devices, play media, answer questions, handle messages, and leverage ChatGPT’s capabilities.
This sounds innovative on paper, especially with the promise of a more “humanlike” AI presence. But let’s be clear: Amazon, Google, and Apple pioneered this category years ago. OpenAI isn’t breaking new ground here — it’s trying to catch up to a market these giants have dominated for nearly a decade.
Apple’s HomePod mini
The Smart Speaker Revolution Started Long Before ChatGPT
Amazon lit the fuse in 2014 with the original Echo and Alexa. What began as a cylindrical speaker that could play music, set timers, and answer basic questions quickly evolved into a full ecosystem. Echo devices now control lights, thermostats, door locks, and more — exactly the smart-home hub role OpenAI envisions. Amazon iterated relentlessly with cheaper Dots, portable versions, and premium models, shipping hundreds of millions of units and embedding Alexa into countless third-party devices.
Google followed in 2016 with Google Home (later Nest Audio and similar), emphasizing superior search integration and natural language understanding powered by its vast data resources. These speakers became central to many households for information, entertainment, and automation. Apple entered the fray in 2018 with the HomePod, focusing on premium audio quality and tight integration with its ecosystem, later adding the more affordable HomePod mini.
By the time OpenAI is targeting a potential 2027 launch for its device, smart speakers will have been mainstream for over a dozen years. The core features OpenAI highlights — voice interaction, media playback, smart-home control, and AI assistance — are table stakes that consumers already expect.
What’s New (or Not So New) with OpenAI’s Approach?
The Bloomberg News description by Mark Gurman positions OpenAI’s speaker as a “new type of home computer for the AI era,” movable and screen-free for ambient use.
Earlier reports suggest possible camera integration for environmental awareness, object recognition, and even facial recognition for purchases — features that echo (pun intended) what existing devices already offer or are evolving toward. Many current smart speakers and displays already include cameras, microphones that listen continuously (with privacy toggles), and advanced AI for proactive suggestions.
OpenAI’s edge is presumably its cutting-edge language models, potentially enabling more conversational, context-aware interactions than today’s assistants. Yet even here, competitors aren’t standing still: Google has integrated Gemini, Amazon continues enhancing Alexa with generative AI, and Apple is finally significantly deepening Siri with on-device intelligence in its ecosystem.
Privacy Concerns Loom Large, Especially Versus Apple
One area where OpenAI’s entry raises fresh questions is privacy. An always-listening, camera-equipped AI companion that processes conversations, surroundings, and potentially personal interactions could amass intimate data about users’ daily lives. OpenAI has faced broader scrutiny over how it handles training data and user inputs with its models, and a device that lives in the home would amplify those risks — including potential data sharing, advertising uses, or breaches.
In contrast, Apple has long positioned itself as a privacy leader in the smart speaker space. HomePod devices prioritize on-device processing where possible, use randomized identifiers instead of linking data to user accounts, and offer straightforward controls to delete Siri history. Apple’s ecosystem design generally minimizes cloud transmission and avoids using customer data for ad targeting in the same way its competitors do. OpenAI, as a newer hardware player heavily reliant on cloud-based AI, will need to earn similar trust — something that could prove challenging given the always-on nature of the proposed companion.
Challenges Ahead for the Newcomer
OpenAI enters a crowded, mature market where hardware margins are thin, privacy concerns run high, and user loyalty to existing ecosystems (Amazon for shopping, Google for search, Apple for seamless device handoff) is strong. Building reliable hardware at scale, managing always-listening microphones and potential cameras responsibly, and competing on price (rumored $200–$300 range) won’t be trivial.
History shows that smart speakers succeeded because they solved simple, everyday problems affordably and reliably — not because they promised revolutionary AI companionship. OpenAI’s version may feel more “alive” thanks to advanced models, but it risks being perceived as a me-too product unless it delivers truly standout experiences that justify switching or adding yet another device to the home.
MacDailyNews Take: In the smart speaker space, OpenAI following well-trodden footsteps laid by Amazon, Google, and Apple. The real test will be whether ChatGPT can make the familiar feel fresh enough to stand out — while addressing privacy headwinds that Apple has long navigated more cautiously.
Our prediction is that it won’t.
OpenAI has always been skeevy, from eschewing its open source roots to Sam Altman to desperately overpaying for a washed Jony Ive. Just plain skeevy.
If ever a Skynet would arise, we expect it would spring from the diseased loins of OpenAI. – MacDailyNews, July 13, 2026
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Apple raised the prices of Macs and other products across the board today. For entry-level Macs, the increases are mostly $100–$200. However, if you want a MacBook Pro or Mac Studio with lots of memory and storage, it’s going to cost you dearly. Prices were also raised on the iPad, Vision Pro, Apple TV, HomePods, and many items sold through Apple’s refurbished store.
This should come as no surprise to anyone, but it’s painful just the same. Last week, Tim Cook told The Wall Street Journal that price increases were coming without getting into specifics. Apple was able to hold the line on prices for several months, even while smaller gadget and computer makers raised their prices or canceled products altogether.
What’s happening is simple macroeconomics. Demand for memory and storage is vastly outstripping supply, largely due to the insatiable appetite of data centers that power AI services. That demand shows no signs of waning, and supply isn’t as simple as turning a knob to 11. There just aren’t that many makers of memory chips and SSDs, and bringing new plants online to manufacture takes years and billions of dollars.
For now, the price of iPhones has been left alone. Some may see that as a silver lining, but I suspect all it means is that Apple has enough prebuilt inventory to get to September, when new iPhones are announced. Apple Watch and AirPods prices remain the same, too.
Could Apple have avoided this? I doubt it. The magnitude and speed of the price increases and the projected duration are beyond what any reasonable company could or would plan for.
That said, I do think the situation will get better with time, again because of macroeconomics. The increases may preserve Apple’s margins, but it’s going to reduce the number of customers who can afford its products. Margins only equate to profits if you have customers willing to pay for your product. So with time, if the data center demand slackens or new chip capacity comes online, prices will improve. Just don’t expect that anytime before 2027 or 2028 if current projections are to be believed.
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