Já tendo completado a passagem para o mundo dos mortos, o icônico Mac Pro (antigo desktop topo-de-linha da Apple) foi revelado ao mundo pela primeira vez há exatos 20 anos, durante Worldwide Developers Conference (WWDC) de 2006.
Último Mac a trocar os chips PowerPC pelos processadores da Intel (transição que havia sido iniciada em 2005), ele chegou com o dobro de performance do Power Mac G5, seu antecessor direto — e de quem herdou a primeira iteração do design de “ralador de queijo”, que com certeza marcou época.
Com um preço inicial de US$2.500 (ou US$4.140, levando em conta a inflação até os dias de hoje), ele era parrudíssimo — tanto em termos de performance bruta quanto de conectividade. Extremamente “upgradeável”, ele vinha com dois processadores Intel Xeon de dois núcleos (2,0GHz, 2,66GHz ou 3,0GHz, dependendo da versão escolhida), bem como com a placa gráfica GeForce 7300 GT, da NVIDIA — componente que podia ser trocado por uma Quadro FX 4500 (também da NVIDIA) ou uma ATI Radeon X1900 XT (da AMD).
Contando com quatro espaços para unidades Serial ATA (dois a mais que o Power Mac G5), o Mac Pro de primeira geração também permita a instalação de até quatro GPUs 1Graphics processing units, ou unidades de processamento gráfico. via PCIe, além suportar até 32GB de RAM 2Random access memory, ou memória de acesso aleatório. — por padrão, ele vinha com “apenas” 1GB. O desktop também era equipado com 5 portas USB 2.0 e 4 FireWire 800, padrão ainda muito popular na época.
O queridinho de profissionais criativos, o Mac Pro parecia ser feito sob medida (ou vice-versa) para softwares como o Final Cut Pro, além de vir de fábrica com o clássico Mac OS X Tiger, lançado mais cedo naquele ano. Nem tudo eram flores, no entanto, já que alguns apps, como os da popular Adobe Creative Suite, ainda precisavam da camada de tradução Rosetta para rodar adequadamente em Macs com processadores x86, o que resultava em gargalos de performance — problema que foi solucionado com o passar dos meses.
Desde então, o Mac Pro original foi atualizado algumas vezes; o primeiro upgrade veio já em abril 2007, seguido por outro em janeiro de 2008. No início de 2009, o computador ganhou os processadores Intel Xeon 5500 e, um ano depois, passou a suportar até 64GB de memória e até 8TB de armazenamento — além de ter adotado os processadores da linha Intel Xeon 5600, é claro. A última dança desse primeiro design do desktop veio em 2012, com dois processadores Intel Xeon Westmere-EP de seis núcleos (2,4GHz).
O ano de 2013 foi difícil para o Mac Pro, que recebeu um novo design tão compacto quanto polêmico. Cilíndrica, a nova geração do Mac Pro instigou comparações com latas de lixo, principalmente por conta da abertura para ventilação na parte de cima do computador.
Por falar em ventilação, é nessa área onde reside a maior fraqueza desse novo modelo: o sistema de resfriamento, construído em volta de um “núcleo térmico unificado” central que, embora fosse, sim, um conceito muito interessante, não era o suficiente para resfriar o seu processador Intel Xeon e as duas GPUs AMD FirePro.
O novo design também fez a Apple abrir mão de duas outras características importantíssimas do Mac Pro: a vasta seleção de portas e a possibilidade de trocar praticamente todos os principais componentes do computador. Caso o usuário quisesse realizar algum upgrade, ele era obrigado a fazer isso por meio de uma das suas portas Thunderbolt 2, o que estava longe de ser o ideal.
A má recepção fez o Mac Pro “lata de lixo” cair no ostracismo e ficar sem receber novas atualizações por nada menos que seis anos — um contraste e tanto em relação ao modelo anterior. A situação chegou até mesmo ao ponto de a própria Apple admitir, em 2017, que errou a mão na hora de projetar a mais nova versão do seu desktop profissional — atitude que foi seguida pelo lançamento do iMac Pro, que serviu como uma espécie de “tapa buraco” até o lançamento do último grande redesign do Mac Pro.
Em 2019, a Apple colocou ordem na casa ao lançar um novo Mac Pro muito mais parecido com o modelo original do que com o computador que o precedeu — ou seja, com um formato de torre tradicional.
Apostando mais uma vez no alumínio como seu material principal, o desktop passou a contar com furos para ventilação que, mais uma vez, provocaram comparações com raladores de queijo. Dentro, foram adicionada três ventoinhas bem parrudas, as quais davam conta de resfriar todos os componentes do computador, já que eles não contavam com coolers individuais.
Equipado com um processador Intel Xeon de até 28 núcleos, ele suportava até 1,5TB de memória — número surpreendente até para os dias de hoje. Contando com nada menos que oito slots PCIe, ele podia ser configurado com as GPUs Radeon Pro 580X ou Radeon Pro Vega II, da AMD, bem como com a novíssima placa aceleradora Apple Afterburner, para a edição de vídeos.
O otimismo introduzido por esse novo design, porém, foi logo suplantado pela introdução, apenas um ano depois, dos chips da família Apple Silicon, bem mais rápidos e eficientes que os da Intel e que passariam a substituir os processadores da fabricante estadunidense nos Macs. Em outras palavras, isso fez com que muita gente pensasse duas vezes antes de adquirir um Mac Pro — afinal, uma versão bem mais poderosa com um chip ARM 3Advanced RISC Machine. provavelmente já estava nos planos da Apple.
Isso, no entanto, só foi acontecer em 2023 — e de um jeito um tanto… agridoce. Embora a adoção do chip M2 Ultra tenha sido bem-vinda, o computador perdeu muitas das características que o faziam ser uma boa opção para usuários profissionais, como a possibilidade de fazer upgrades nas suas peças — uma consequência da natureza centralizada dos SoCs 4System on a chip, ou sistema em um chip. da Apple.
Além disso, a essa altura do campeonato, o Mac Studio (outro computador voltado a profissionais) já estava no mercado há cerca de um ano e oferecia a mesma performance de ponta que muitos esperavam do Mac Pro, além de ser bem mais compacto e, principalmente, “acessível” (a partir de US$7.000 vs. a partir de US$2.000).
Embora rumores de uma atualização tenham circulado nos últimos anos, tudo isso levou a Apple a finalmente aposentar o Mac Pro em março de 2026, pouco meses antes do seu aniversário de 20 anos. No momento, os esforços da Apple parecem estar completamente voltados ao Mac Studio, que tomou o posto de “computador para profissionais” da Maçã.
E vocês, já estão com saudades do Mac Pro ou a Apple fez certo em descontinuá-lo? Comentem!
via MacRumors, Cult of Mac, AppleInsider
General:
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Previously:
Apple’s new version of Safari browser in macOS 27 and iOS 27 can be tasked to monitor a webpage and notify you of any changes, thanks to a new built-in feature.
[…]
In other upcoming feature additions, using the power of AI, Safari tabs that you have open can automatically be organized into topics.
Don’t miss our WWDC26 sessions on web technology, including What’s new in WebKit for Safari 27, to go deeper on our work in this release. Now, let’s dig into this beta, packed with 58 new features, 525 fixes and 4 deprecations that will hopefully make your work as a web developer a little easier.
This year, the WebKit team is here with six sessions covering new CSS layouts, customizable form controls, 3D models, immersive spatial experiences, and browser extensions.
See also: Safari 27 Beta Release Notes.
Previously:
Update (2026-06-17): Jeremy Keith:
But credit where credit is due. The upcoming version 27 of Safari is looking very good.
That’s not because it’s at the cutting edge of the latest web standards. Quite the opposite. Most of the changes listed for this release are bug fixes. That’s what I want to acknowledge and applaud.
Previously:
Apple (Hacker News):
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.
Apple (MacRumors, MacStories):
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.
It’s actually super important that the Siri demo was kind of slow, because it emphasized it was real. Would be even better if it were live, though.
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.
In fact, I think most of them were single takes of multiple demos back-to-back. That’s the way it should be, even when they feel a little slow.
Who the fuck wears a $4000 VR headset to find out if their boots will fit in their fucking backpack?
THATS the best example they could come up for that feature?
also I wouldn’t trust the answer anyway
These Siri demo’s feel like OpenAI demo’s from a view years ago. However, this is built in to the operating system.
Much like Dropbox vs iCloud, I feel like long term, once it’s good enough Apple will succeed in making AI a “feature” rather than a product.
Apple needed to show that they could make a version of Siri that wasn’t three years behind. They didn’t succeed.
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…
Have new Siri now. Siri still can’t do “turn lamp off and turn plug on” in one command.
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.”
Clear as mud.
ldt:
How to bypass the new Siri waitlist (Mac only)
See also: New Siri Waitlist.
Previously:
Update (2026-06-11): famebot:
…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.
Love the new Siri, sick.
Update (2026-06-12): Juli Clover has a hands-on video.
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.
Update (2026-06-16): Riccardo Mori:
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.
Chance Miller (via John Gruber):
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.
Previously:
Desde que a Apple levou a OpenAI aos tribunais por uma suposta violação de segredos industriais e propriedade intelectual, a ausência do nome de Jony Ive no processo tem sido motivo de especulações, considerando que o ex-executivo da Maçã e braço direito de Steve Jobs é uma peça relevante para o desenvolvimento de hardwares da dona do ChatGPT.
No ano passado, a startup de Ive, a io Products, foi adquirida pela OpenAI por US$6,5 bilhões. Desde então, o estúdio de design independente LoveFrom (também comandado pelo ex-Apple) passou a ser o espaço da gigante de inteligência artificial (IA) para a supervisão do design da sua linha de hardware. Nesse processo, mais de 400 funcionários trocaram a Maçã pela empresa de Sam Altman — entre eles, Tang Tan e Chang Liu, acusados de instruírem a revelação de protótipos da Maçã para quem estivesse em entrevista com a empresa de IA.
Para Mark Gurman, jornalista da Bloomberg, existem duas explicações lógicas para Ive ter ficado de fora das acusações: a ausência de provas que comprovem seu vínculo com o esquema e a sua relação de proximidade com a viúva de Jobs, Laurene Powell Jobs.
Próxima de Tim Cook e de outros executivos da empresa — além de manter uma relação de longa data com Ive —, ela continua circulando com naturalidade entre ambos os lados, tendo inclusive participado da última WWDC como convidada.
Laurene também é uma das principais investidoras dos projetos de Ive e esteve ao lado dele e de Altman quando os dois revelaram que o primeiro dispositivo de IA da OpenAI já estava em desenvolvimento. Para Gurman, esse conjunto de relações pode ter contribuído para evitar que o nome do ex-chefe de design da Apple fosse envolvido diretamente na disputa judicial, especialmente na ausência de evidências que o ligassem ao suposto vazamento de informações.
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