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Whisper and SpeechAnalyzer

22 July 2026 at 21:34

Om Malik (2023):

One of the key advantages of MacWhisper, as it utilizes the Whisper technology, is its superior accuracy in transcriptions compared to other services I have used. I was an early adopter of Rev.com and eventually switched to Otter.ai, for which I paid approximately $100/year. However, I have since canceled my subscription.

[…]

After comparing the audio transcripts from MacWhisper and Otter, I found that while Otter’s formatting is superior, there is hardly any difference in the transcriptions. I started with the free model, which was sufficient for my needs, and eventually upgraded to the large models. Nowadays, I primarily use MacWhisper to transcribe my voice memos, which I then import into Lex.Page.

Bon Adamson:

Whisper, which is made by OpenAI, has the distinct advantage of allowing you to transcribe audio in almost any language you may ever need to. For the time being, Otter can only transcribe English. The benefits of better accuracy and accurate punctuation that the service already holds over Siri hold up across other languages as well. If you’re looking to transcribe non-English audio accurately, Whisper is definitely the best option available on Mac.

Dan Moren:

By taking advantage of OpenAI’s Whisper framework, Audio Hijack can now take any audio it’s recording and generate a text transcript. While this process was possible before—see Jason’s lengthy post about his workflow—it required a lot of fiddling and several different tools to accomplish; it’s certainly a lot easier to simply drop Audio Hijack’s block into your existing session. If you record multiple sources, it can even appropriately label each one—though if you record multiple people via one input, say the other end of a Zoom call, it can’t distinguish between the various participants.

Inscribe (2026, Hacker News):

Apple’s new SpeechAnalyzer is the most accurate on-device speech engine we tested. It beat every Whisper model we ship, including Whisper Small, on both the clean and the noisy half of LibriSpeech, while running roughly three times faster than Small. And the API it replaces, SFSpeechRecognizer, came last on clean speech: behind even Whisper Tiny, a 40MB model.

[…]

The new API cuts word error rate by 3.5 to 4x on the same audio: from 9.02% to 2.12% on clean speech, and from 16.25% to 4.56% on noisy speech. There is no accuracy trade-off to weigh; the new API wins everywhere we measured, and it produces punctuated, cased text where the legacy engine’s output is rougher.

[…]

All five engines ran comfortably faster than real time: between roughly 12x and 40x on the M2 Pro, meaning an hour of audio transcribes in about 1.5 to 5 minutes on-device. SpeechAnalyzer was about 3x faster than Whisper Small per second of audio while beating it on accuracy.

Yuki:

SpeechAnalyzer’s ReportingOption.fastResults reads like a knob you’d reach for when you want to trade power for latency. That framing is what cost me the afternoon.

[…]

If a recording matters — and in a notes app, a lost meeting is the worst thing that can happen to a user — then the container you write while recording has to be PCM in CAF. Not m4a, and not AAC-in-CAF either.

[…]

AVAudioEngine’s inputNode silently ignores your device selection

[…]

I wanted summarization to run on-device. Everything else in Nib’s transcription path does, the audio never leaves the machine, and it would have been a much cleaner story to tell.

But 4,096 tokens for the Foundation Models isn’t enough.

Previously:

The EnshAIttification of Day One

21 July 2026 at 21:28

Aleem Shaun:

I’ve used Day One for more than a decade. It was an excellent journalling app. Private, minimal, easy to use, with excellent features such as geolocation, weather, ‘On this Day’, and book printing. Features that got out of the way and either worked quietly in the background or appeared only when you summoned them. That’s changed.

Now there are new subscription tiers. Previously, the tiers were Free and Premium. Simple. Premium included sync and a few other things that I can’t remember, but it was compelling enough that I’ve been a Premium subscriber from the beginning. Now, without consultation, I’m Silver (not Premium), and there’s a new, more expensive AI-driven tier, Gold. I don’t object solely on that basis. You would think I could just choose to remain on ‘Silver’ and all would be well. But no. Even with these features turned off in settings, I’m visually prompted in the app to upgrade to Gold and use the Daily Chat (with AI), which I’ve turned off and can only use if I upgrade. And yet, there it is, taunting me.

Via Eric Schwarz:

Even Apple is guilty of doing this in the Settings app and the former iWork apps.

Previously:

Siri AI Beta

20 July 2026 at 16:27

Federico Viticci (Mastodon):

The AI frontier from the two big labs (and – we have to be honest with the numbers here – probably SpaceXAI and Meta now, too) is in a completely different league at the moment. I spent my first couple of weeks with Siri AI trying to convince myself that I could replace Codex with Siri AI, and that was the wrong approach. There is a potential future in which Siri AI can become a more proactive and capable agent, but that’s not what Apple is shipping this year.

[…]

Siri AI is a dramatically better Siri for typical Siri stuff. The new Siri understands your commands and nuanced requests better because of the LLMs behind it; it can often perform multiple requests in one go (such as setting multiple timers with one command); the new expressive (and customizable!) voices sound great, and they’re terrific at reading and summarizing notifications. Apple’s first advantage compared to other chatbots is right here: only Siri can integrate with the iPhone and iPad to this extent, so even if the Foundation models aren’t as smart as the competition, Siri can do a lot more for most people on their devices because neither OpenAI nor Anthropic have OSes they can control.

[…]

The biggest issue I’ve encountered is the inconsistency of it all. Very often, the new Siri AI still replies with a generic “Uh oh, something went wrong“ error that doesn’t explain what the error was or why it happened. Sometimes, I ask a question via voice, and it errors out, but then a few seconds later, I type the same question in the app, and it’s fine.

[…]

My problem is that, right now with Apple’s own apps, both the index and Siri’s ability to perform actions are very inconsistent. The assistant hallucinates abilities it doesn’t have, and it frequently just doesn’t work.

Dan Moren:

The good news is that Siri AI is capable: impressively so, at times. In the lowest of low bars, it certainly beats the pants off the previous incarnation of Siri, but its access to your own personal data and all of the app on your phone also unlocks a host of new possibilities.

But it’s also not without the pitfalls that underlie all LLM-powered chatbots: errors in understanding, hallucinations, and so on.

[…]

The app itself is pretty barebones, letting you view those conversations in List or Grid layouts, select multiple conversations to delete them, and pin or rename any single conversation. In Settings : Siri, you can choose to either open to the overview or to a new conversation and decide whether old conversations are kept for 30 days, 1 year, or forever. It’s a little strange that one-off queries (“What’s the average height of the Norwegian World Cup team?”) are stored alongside more involved conversations (“Can you help me build a specific RSS feed for this site?”); I also ended up with a few orphan blank “New conversations” which I deleted, but it’d be nice if you could filter to find those. Conversations are fully searchable and sync between devices via iCloud.

John Voorhees:

Despite the current limitations, if you use chatbots as a replacement for Google Search, you’ll probably have a good experience with the new Siri app. That’s because even in these early betas, if you ask Siri something like, “Give me a day trip itinerary for a trip to Chicago this Saturday,” you’re likely to get good but pretty middle-of-the-road recommendations. From there, though, you can drill down with follow-up queries to get something more in line with your tastes. The results include source links you can follow, too. Given the ad-strewn mess that web search has become, using Siri for this sort of thing is a meaningfully better experience.

The one caveat on Siri’s world knowledge is that it’s roughly 2-3 weeks stale in some places.

[…]

A good example is Music. You can prompt Siri to play a song, but most of the rich metadata in the app isn’t exposed to Siri, which is a shame because it is exposed elsewhere, for example to AppleScript.

Previously:

Update (2026-08-04): Benjamin Mayo:

Thanks to the top-to-bottom revamp that is Siri AI, Siri is reliably intelligent. Finally. We are still in the midst of beta season, and Apple is yet to confirm whether Siri AI will formally launch with iOS 27 in September or sometime later in the year, but the feature is up to scratch. There are bugs and glitches and edge-case quirks, but on the whole, it wipes the floor with old Siri and is competent enough to supplant my everyday usage of other chatbots too.

[…]

Siri AI can get a snapshot of what’s on screen, but it cannot control the UI for you autonomously. As such, if you ask it to do something outside of its library of available app actions, it will say it can’t do that. Often, it can quote the relevant steps for you to do it yourself, but obviously that falls short of the ideal experience. This feels a bit lacklustre to people already embracing AI agents en masse. Claude and Codex on Mac do not hit these walls; they are all too keen to move your mouse for you and run terminal commands until the job is done.

Previously:

San Francisco Demands Removal of Nudify Apps

17 July 2026 at 22:16

Matt Burgess (MacRumors, ArsTechnica):

On Thursday, San Francisco city attorney David Chiu sent legal notices to Apple and Google demanding that they remove from their app stores 13 face-swapping apps, which allow users to create AI-generated nonconsensual nude images. The letters say the Silicon Valley giants should stop “aiding and abetting” the sale of explicit deepfake images and “sever” business relationships with the app developers.

[…]

Researchers have repeatedly found and reported apps in Apple’s App Store and Google’s Play Store that allow people to generate sexual images using AI—including some apps being rated as suitable for use by children. While new laws and bans aim to tackle the scourge of explicit deepfakes online, technology and social media companies consistently direct millions of people toward the harmful tech.

Both Apple and Google have developer policies that prohibit pornography, abuse, and harassment on their platforms.

Burgess gives the impression, which is my base assumption, that these 13 apps were clear about what they do, so App Review has no excuse for missing them. But I’m sure it’s keeping us all safe in other regards.

Meanwhile, in a preprint research paper published in May, researchers from Cornell University and Georgetown University identified 420 apps offering general face-swapping capabilities on Google’s and Apple’s app stores. They tested 155 to see if they could be used to create face swaps with nude images; in 70 percent of cases, it was possible, with the apps not including safety measures to prevent this.

Previously:

Update (2026-07-21): Danny Bradbury:

Chiu isn’t arguing that hosting an app automatically makes a platform liable for what it does. Platform operators already won that battle with Section 230 of the Communications Decency Act. That 30-year-old law says websites generally aren’t responsible for content posted by users, allowing platforms to host user-generated content without getting sued every time someone defames someone in a comment thread.

Courts have often extended those protections to cover app stores too. Apple and Google are treated as distributors of whatever a third-party developer uploads, rather than publishers.

Chiu is attempting to sidestep that argument by focusing on the companies’ payment systems, noting that Apple and Google collect a cut of every in-app purchase. According to the Tech Transparency Project (TTP), that means they profit from apps that generate revenue by creating non-consensual intimate imagery.

Apple Intelligence to Launch in China

17 July 2026 at 22:16

Hartley Charlton:

Reuters reports that China’s Cyberspace Administration registered Apple’s on-device generative AI service this week, putting it on a list of newly cleared providers that also includes homegrown systems from Chinese phone makers.

An unnamed source told the outlet that Apple’s AI features in the country will draw on models from both Baidu and Alibaba.

William Gallagher:

China has complex requirements for regulatory approval, and sufficiently so that US firms typically need to involve a local partner.

John Gruber:

This isn’t about Siri AI, announced last month at WWDC for iOS 27 — this is the initial approval for Apple Intelligence, which was announced two years ago and rolled out in iOS 18.

Previously:

Suno Hack and Audio Scraping

16 July 2026 at 20:42

Jason Koebler (tweet, Reddit):

The AI music generation tool Suno scraped millions of songs and lyrics from YouTube Music, Deezer, and Genius, as well as from the stock music libraries Pond5, Jamendo, Freesound, the International Music Score Library Project, and podcasts via RSS feeds, according to a hacker who breached the company and shared data about Suno’s training libraries with 404 Media. The hacker was also able to access user information for hundreds of thousands of Suno’s customers, as well as Stripe payment information, they said.

[…]

As part of these legal proceedings, Suno previously admitted that it was trained on “essentially all music files of reasonable quality that are accessible on the open internet,” which included a total of “tens of millions of recordings.” Suno has been making the argument that it is allowed to train on copyrighted works as fair use in those cases, one of which has been settled.

Corbin Bolies:

Suno has long acknowledged that its AI music generator relied on the scraping of millions of songs available across the internet, but a new hack reveals just how the company pulled from streaming services and websites[…] all while user information remained vulnerable.

[…]

“Our goal has always been to help people create original new music, not replicate someone else’s. That’s why we build our models around what we call ‘Original Creation, By Design,’” the spokesperson said in a statement. “For example, we intentionally do not use artist names as a category of training metadata because we want our models to help people create brand new songs, not music that replicates other artists’ existing work. It’s also why we built Suno with detection filters that block or prevent a user from using specific artist, song, or album names as prompts, and prevent users from uploading lyrics or sound recordings that match existing works.”

Previously:

Apple Sues OpenAI Over Trade Secrets

13 July 2026 at 20:02

Sarah Perez (PDF, Hacker News, MacRumors):

The iPhone maker alleges that this misconduct, which it says reveals a pattern of theft from OpenAI employees who previously worked at Apple, was directed by OpenAI’s senior leadership, including Chief Hardware Officer Tang Tan.

The lawsuit, which was filed in the U.S. District Court for the Northern District of California, accuses Tan of using Apple’s confidential project code names during OpenAI’s recruiting process, asking job candidates to bring in Apple hardware components to their interviews, coaching departing Apple employees on how to evade the company’s security procedures, and asking for details about the company’s unannounced products.

Apple’s allegations are detailed and shocking, and it sounds like they have a lot of evidence.

Chance Miller:

The lawsuit names Chang Liu and Tang Tan as two of the defendants. Tang Tan served as VP of product design at Apple, leading iPhone and Apple Watch product design. He departed the company in February 2024 to work with Jony Ive. Chang Liu, meanwhile, worked at Apple for eight years and was a senior system electrical engineer before departing to join OpenAI in January 2026.

Apple’s lawsuit also names OpenAI and io Products as defendants.

OpenAI’s hardware efforts are being led by Jony Ive, Apple’s former chief design officer.

[…]

Ive, Hankey, and Cannon are not personally mentioned anywhere in Apple’s initial filing today.

Emma Roth:

Here are the most surprising claims in Apple’s 41-page filing.

Marcus Mendes (MacRumors):

OpenAI’s Director of Strategic Communications, Drew Pusateri, took to X to comment on the company’s behalf.

In his post, he claims OpenAI has “no interest in other companies’ trade secrets,” adding that OpenAI remains “focused on building innovative technology that empowers people everywhere.”

This seems like a weak response, given that Apple says it reported its findings to OpenAI in February and never heard back. Presumably, they’ve already investigated but see the situation as serious enough that they need to say as little as possible.

It’s not clear to me the extent to which Apple believes the behavior was limited to the named defendants. It’s hard to believe that the rest of OpenAI’s leadership—including Altman and Ive—were unaware, given the scale of their recruiting from Apple. It’s equally hard to believe that they were aware and thought they could get away with it. I guess little from Altman would surprise me at this point. I’d like to believe that Ive wasn’t part of it, but then are we to believe that his former coworkers all kept him in the dark?

Nick Heer:

What is immediately notable about this whole thing is the myriad conflicts of interest. Apple, of course, has a current partnership with OpenAI to power Apple Intelligence features, something repeatedly mentioned on the previous version of its marketing webpage, and conspicuously absent on the current one.

But the history runs far deeper. Among the defendants in the suit is io Products — do not blame me for that capitalization choice — founded by Jony Ive and acquired by OpenAI last May. Total mentions of “Ive” in the body of this lawsuit? Zero. Also, one of the investors in Ive’s company was Emerson Collective, founded by Laurene Powell Jobs, and which now has equity in OpenAI. Neither Emerson nor Powell Jobs are defendants.

M.G. Siegler:

It all reads a bit as if Apple has been building up evidence of these allegations for some time and recently got their smoking gun. It’s not just nebulous “trade secrets” either, there are specific mentions down to “metal finishing techniques” that Apple apparently invented and protected.

It also comes a little less than a month after OpenAI was rumored to be threatening Apple with a lawsuit over the perceived failure of their deal to bake ChatGPT into the iPhone. As I wrote at the time, even just that threat was clearly not going to go over well in Cupertino.

John Gruber (Mastodon):

Footnote 13 on p. 15 states:

Apple and OpenAI have a commercial relationship involving the integration of OpenAI’s ChatGPT into Apple Intelligence. The companies have entered into a written agreement governing that integration. That agreement is not at issue here. OpenAI’s acts of trade secret misappropriation alleged herein do not arise from and have no connection to that agreement.

Be that as it may legally speaking, in practical terms it seems untenable for that Apple Intelligence partnership to continue after this.

Jason Snell:

All that bubbling-under-the-surface tension between Apple and OpenAI is now out in the open!

M.G. Siegler:

Namely, while Apple frames OpenAI – or at least its fledgling hardware division – as “rotten to its core” (interesting terminology!), they really only have a case against two and maybe three individuals. But they also clearly believe that if this case goes to trial, they will have a case against a lot more.

[…]

The parallels to the Anthony Levandowski situation after he left Google for Uber have been drawn.

[…]

It is interesting that Apple is not suing Yu-Ting “Alyssa” Peng, who is named in the suit as a co-conspirator with Liu while she was still employed at Apple, before she also subsequently went to work at OpenAI. Is it possible she’s cooperating or has cooperated with Apple in this investigation?

[…]

Even if these allegations are found to be untrue or embellished, can he reasonably stay at OpenAI now? And perhaps that’s the real outcome Apple is looking for here, as they clearly frame him as the ringleader of the 400-plus people who have come over to OpenAI from Apple.

Hartley Charlton:

OpenAI’s ambitions to build a hardware rival to the iPhone are already running into trouble because of Apple’s trade secret lawsuit, according to Bloomberg’s Mark Gurman, who argues the damage is showing up well before any court ruling.

[…]

The scale of the talent drain is a major part of why this matters to Apple. More than 400 former Apple employees now work at OpenAI, including former Apple design chief Jony Ive, and Gurman says the company poached so heavily from Apple’s iPhone product design group specifically that Apple had to rebuild parts of the team. Apple has responded with bigger retention bonuses and executives personally working to keep engineers from leaving.

Jeff Johnson:

OpenAI stole stuff? I can’t believe it! I thought they were done with stealing after they stole literally everything on the internet.

Colin Cornaby:

I’m sure there’s no problem with sending this company all your source code they pinky swear not to train on.

Steve Troughton-Smith:

I can’t believe this awful company solicited confidential information and stolen trade secrets, hiring from this other company while pretending to partner with them. ‘Rotten to the core’ indeed

😛

He’s referencing Apple doing this to Masimo. And, of course, Steve Jobs himself directed Apple to engage in illegal hiring practices.

Previously:

Update (2026-07-17): See also: Dithering.

Tim Hardwick (FT, Hacker News):

Apple has reportedly sent legal letters to dozens of former Apple employees now working at OpenAI, telling them to preserve potentially relevant documents and communications as it continues to pursue its trade secret lawsuit against the AI company.

Update (2026-08-06): Hartley Charlton (PDF):

OpenAI has asked a federal judge to dismiss Apple’s lawsuit accusing the AI company of stealing trade secrets, calling the allegations “meritless.”

Previously:

ChatGPT Work and ChatGPT Classic

10 July 2026 at 16:47

John Gruber, earlier this week:

When ChatGPT is attached to an open document in another app, it’s not a snapshot at the moment of attachment, like what you’d get by copying and pasting the whole thing into the chat, or by dragging the current version of the file into the chat. It’s a live ongoing attachment, so as the attached document/note changes, ChatGPT sees the changes. It’s such a great feature, and I don’t think it exists on any platform but the Mac. And it couldn’t exist on iOS, by design, doesn’t allow for inter-application communication.

I worry for ChatGPT’s future, though.

Juli Clover:

OpenAI today announced ChatGPT Work, a ChatGPT agent with built-in Codex that can complete tasks across web, mobile, and desktop using information from your apps. ChatGPT Work can execute multi-step tasks, using scheduling to work independently. Like Claude Cowork, ChatGPT can use your computer to do tasks in the background across apps.

[…]

With OpenAI merging Codex and ChatGPT, there is a new ChatGPT desktop app that’s available across Mac and Windows. Users who have the Codex app installed can update it to turn it into the new ChatGPT desktop app. The existing ChatGPT desktop app is being renamed ChatGPT Classic.

Zac Hall:

You can watch today’s livestream announcement video below[…]

[…]

It’s possible to have ChatGPT Classic, ChatGPT, and Codex installed, but the way forward seems to be just running the new ChatGPT desktop app. Codex users can still use the Codex app icon, but the app will be called ChatGPT.

The ChatGPT Classic app looks more native Mac-like, so that might be an issue for users.

Steve Troughton-Smith:

LOL @ OpenAI replacing the native AppKit ChatGPT app with the Electron Codex app after @gruber’s recent posts on the topic 😂

(It’s almost like Apple doesn’t have clear messaging on the right way to build native desktop apps anymore, and, if Apple doesn’t know, why on earth would third-party developers make that investment)

Federico Viticci:

The rollout of the unified ChatGPT for Mac app really isn’t going well on X/Reddit 🥶

They kinda fumbled it and I think Anthropic did a slightly better job on first try. Even OpenAI’s existing iOS app makes more sense than their new Mac layout right now.

The difference between “normal” chatbot chats, Work/Cowork harnesses with connectors, and Code/Codex local threads and filesystem access is the new UX hell for these companies.

Steve Troughton-Smith:

The chat experience is ChatGPT. Now it’s squirreled away in a sub section of a sub pane inside a vastly more-complex app. It’s hard to imagine anybody who actually wants to use ChatGPT wants to use it this way, Electron or not. And as a Codex user, I resent having my Codex deleted and renamed ‘ChatGPT’ instead. I don’t want my ‘chats’ anywhere near my ‘work’. This feels like a stupid move that will decimate casual ChatGPT desktop usage

John Gruber (Mastodon):

Looks like I picked the wrong week to quit sniffing glue.

See also: Dithering.

Previously:

Update (2026-07-13): Tony Arnold:

Oh yeah, the new ChatGPT app is as bad as first impressions made it out to be. It’s not just a slow, RAM hungry shell of a thing, but the design and UX are a poorly thought out kitchen sink approach.

Codex has never been great, but this is a confusing mess.

Benedict Evans:

Wow, what a total mess. What is the difference between a project, a task and a chat? Why did chats get a crappy floating window but tasks and projects don’t? Why does choosing ‘plugins’ get me ‘templates’? Am I not allowed to finish ‘setup’ if I don’t use Slack or Google Drive? Why…

Via John Gruber (Mastodon):

OpenAI’s internal org chart is a complete disorganized mess. This new app perfectly reflects that.

The old ChatGPT app was focused. That’s the app that still ships for mobile (which includes iPad, which tells you whether OpenAI thinks iPad is a real computer or a big iPhone), and is, for some Mac users, left installed on their systems as “ChatGPT Classic”. The new app is an incredibly confusing sloppy mess. At a glance it looks like a polished app. But the UI is just slop. It has the veneer of a polished app without actually being organized or structured or labeled in ways that add clarity and coherence.

John Gruber:

So I don’t see “the prompt in the app to download the new ChatGPT desktop app”. If I download the new app manually, I get a disk image. After mounting the disk image, the instructions say to double-click the “ChatGPT” app on the disk image — not to drag it to the Applications folder. If I do that while the old ChatGPT app is still running, it bounces back and forth a few times but nothing new gets installed and nothing old gets removed or renamed. I’m just left with the classic ChatGPT app, still named “ChatGPT”.

If I run the installer on the disk image when the old ChatGPT app is not running, the old app gets replaced by the new one in my Applications folder, and the old app is moved to the Trash. There is no app named “ChatGPT Classic”.

I mean, their Help document does say “the new app may install alongside your current app”, and “if both remained installed”, so they seem just as confused as I am.

Update (2026-07-14): Adam Engst:

And as much as I’ve been focusing more of my attention on Anthropic’s Claude because of concerns I have about OpenAI and its management, ChatGPT has more active users (~1.1 billion) than Google’s Gemini (~900 million), and many more than Claude (~245 million, in part because it’s more focused on enterprise uses).

As such, it’s worth noting three recent changes with ChatGPT: a massively confusing app replacement, the end of the ChatGPT Atlas Web browser, and improvements to ChatGPT Voice.

Update (2026-07-17): M.G. Siegler:

Let’s give OpenAI some credit, once they realize they made a mistake, they act quickly to correct it. Today’s case in point: with an update, ChatGPT now features ChatGPT once again. No, that’s not a joke, and yes, it does speak to a very obvious self-own.

John Gruber:

How in the world did they ship this without sync?

[…]

Bringing back “chat” to ChatGPT is literally the least they needed to do. Hiding chat in an obscure corner of the interface from an app named “ChatGPT” would be like removing text editing from TextEdit.

Sunsetting ChatGPT Atlas

10 July 2026 at 16:47

James Sun (via Tim Hardwick):

Lastly, with all these updates, we are going to be sunsetting Atlas.

All these capabilities were built on what we learned from Atlas users who took a leap of faith on a new browser.

You taught us how agents can help make browsing and doing work on the open web better, and we are applying these learnings to these new products.

Zac Hall:

With the new ChatGPT desktop app, OpenAI now has a desktop app with robust browser capabilities. ChatGPT (and Codex before it) also supports a Chrome desktop browser plugin. This lets Chrome users benefit from ChatGPT integration without completely switching browsers.

Kyle Hughes:

Anthropic and OpenAI have legacy software media in the blender because they are playing a new game. They are legitimately racing to build God. The products they release are one-off fundraising vehicles to buoy the next training run. They are not trying to build long-term consumer goodwill.

Previously:

Apple Intelligence for Home’s iCloud+ Requirements

8 July 2026 at 20:22

macOS 27 Golden Gate Beta 3 Release Notes:

Apple Intelligence for Home requires an iCloud+ subscription starting at 2TB.

Via Rajesh Pandey:

As part of the upgrade, the Home app uses AI to generate summaries of motion alerts from compatible HomeKit Secure Video cameras.

[…]

Apple likely requires the 2TB iCloud+ tier because HomeKit Secure Video already relies on iCloud+ storage tiers. The 2TB plan supports a larger number of cameras, and AI-generated video descriptions would add to Apple’s cloud processing costs.

That makes sense, but it seems odd because the iCloud tiers are named based on storage amounts, yet the feature isn’t tied to how much space you’re actually using. A lower iCloud plan with tons of free space doesn’t get the features, yet a nearly full 2 TB plan does. There are already restrictions where supporting more cameras requires higher plans, but that is at least quasi related to storage.

I reluctantly upgraded to a 2 TB family plan within the last year or so. We don’t store many files in iCloud, messages are set to auto-delete after a year, and I manually offload photos older than a year (except for hearted favorites). It’s hard to believe given how I remember the original 5 GB free tier once being sufficient, but staying under 200 GB became untenable without a lot of extra work. It doesn’t help that Live Photos sometimes gets inadvertently turned on, so that we’re storing all these little videos without realizing it.

Previously:

Apple Silicon and AI

7 July 2026 at 20:51

Jason Hiner (MacRumors):

In an exclusive conversation with The Deep View ahead of WWDC 2026 in June, Doug Brooks, senior product manager of Apple silicon, discussed how Apple’s long-term investments in neural processing, unified memory, power-efficient computing, and hardware-software integration have positioned its devices for the AI era.

He also explained why Macs have become a favorite platform among AI developers, why Mac minis and Mac Studios are emerging as the preferred AI agent machines, and how Apple sees the future of on-device AI across iPhone, iPad, and Mac.

[…]

“We build a chip knowing exactly what systems it’s going to go into. The chip can influence the system design, and the system design can influence the chip requirements. They’re married together very tightly. I’d actually go a step further and include software in that equation. As we enable new capabilities in the chip, we want to make sure those capabilities are exposed all the way through the software stack so developers can benefit and customers can benefit. Because if those transistors go unused, what’s the point? It’s not about adding something and hoping somebody finds a use for it. We want those capabilities available to solve real problems. I think that’s what allows us to build better systems and ultimately better products.”

It seems like a lot of it is just that developers like macOS.

Previously:

Update (2026-07-10): See also: Hacker News.

Android AI Violates DMA

3 July 2026 at 19:23

Ryan Whitham:

The issue before the commission currently is the built-in advantage for Gemini on Android. When you turn on any Google-powered Android phone, Gemini is already there and gets special treatment at the system level. The European Commission is taking aim at the lack of features available to third-party AI services. The commission believes that there are too many experiences on Android that only work with Google’s Gemini AI, and as a gatekeeper, Google must change that.

[…]

European regulators are proposing several broad changes to the way AI tools operate on Android phones. Some of this is straightforward, like allowing third-party AI tools to be invoked system-wide via hot words or button presses. This might also include allowing AI tools to view screen context when the user opens them.

[…]

Many of the Gemini AI features in Android, including Magic Cue, rely on running local models, and Google has been slow to allow third parties the system access to make that work effectively. So the EU is also suggesting a mandate that would ensure developers have the necessary hardware access to run local models “with high levels of performance, availability and responsiveness.”

Via John Gruber:

The difference between Google and Apple on this front is that Google just blazed ahead and shipped Gemini integrated into Android in the EU, and is now facing compliance problems after shipping. (Ask forgiveness.) Apple isn’t shipping Siri AI in the EU in iOS 27, knowing that it’s going to be deemed non-compliant. (Ask permission.)

Previously:

Update (2026-07-17): Juli Clover:

The European Commission today formally ordered Google to give third-party AI services the same access to Android device features that Gemini has.

[…]

The European Commission is giving Google a full year to implement changes that will meet the Digital Markets Act requirements, and that's before any legal appeals Google might make.

Google (via Ben Schoon):

This Android ruling threatens device security by granting external apps sensitive and powerful device permissions without these safeguards.

Update (2026-07-23): John Gruber (Mastodon):

They provide separate “Q&A” overviews of the guidance for Android AI interoperability and web search sharing, and the full guidance documents are PDFs (Case DMA.100220 for Android AI, Case DMA.100209 for web search).

[…]

The EC is demanding that Google create APIs that allow third-party AI assistants to do everything Google Gemini does now[…]

[…]

Also, in my reading, the EC is demanding that Google make available to third-party AI assistants all information in Google’s own apps (Gmail, Google Calendar, Google Docs, Google Maps, etc.) that Gemini has access to.

[…]

Apple unfortunately hasn’t shared any technical details describing its proposal for a “Trusted System Agent” that it shared with the EC last year. But whatever Apple’s vision for the Trusted System Agent is, I don’t see how the EC would deem it compliant with the DMA if they want from Apple anything close to what they are now demanding from Google.

I don’t know what will come of this, but I’m pleased to see it in the sense that it is logically coherent. The TSA seems like a way to give the appearance of doing something without actually solving the problem. Like Gruber, I don’t really see why Google would want to comply with this rather than taking their Gemini ball and going home. Unlike Gruber, I don’t find it scary to let users opt into sharing their data and background time with apps of their choosing. I don’t like software design by government committee, but it seems less bad than further entrenching an unfettered monopoly. Maybe this could have been avoided if Google had developed its own reasonable solution instead of shipping something that was obviously not compliant.

Shutting Down Notion Mail

29 June 2026 at 18:37

Zac Hall:

Last year, Notion expanded its productivity suite to include Notion Mail, an AI-powered email client. Today, the company announced that it’s shutting down the Notion Mail inbox service this fall.

[…]

Today, more than half of Notion Mail users manage emails without ever opening their inbox. So, we’re going all in on using agents to run your inbox.

Previously:

Export Control for Fable and Mythos

29 June 2026 at 18:36

Anthropic (tweet, Hacker News):

The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance.

David Sacks (recently departed AI czar, via Dare Obasanjo, Hacker News):

Fable is Mythos with guardrails. But if those guardrails fail, then you’ve exposed Mythos and its advanced cyber capabilities to people who shouldn’t have them. (Keep in mind that Anthropic itself widely promoted the idea that Mythos was a cyberweapon and needed to be regulated as such. They asked for government regulation of Mythos and championed the guardrails on Fable. If there is a vulnerability — big or small — it is Anthropic’s responsibility to patch.)

A highly credible trusted partner of both Anthropic and the USG who was testing Fable came forward with a jailbreak of those guardrails. The Admin asked Dario to fix the jailbreak or de-deploy the model. Dario refused.

Amrith Ramkumar and Robert McMillan (Hacker News):

The Trump administration’s decision to halt all foreign use of Anthropic’s most-capable AI models was prompted by conversations between Amazon.com Chief Executive Andy Jassy and U.S. officials including Treasury Secretary Scott Bessent, people familiar with the matter said.

Dare Obasanjo:

If Claude Mythos is as powerful and dangerous as Anthropic says it is then export controls are totally reasonable. After all, Biden put export controls on Nvidia GPUs for similar reasons.

That said, banning foreign worker Anthropic employees from Mythos reads more like retaliation than regulation.

Ben Thompson (via John Gruber):

Anthropic went on to make the case that non-universal jailbreaks were inevitable and also narrow, and that there was no evidence of a universal jailbreak; the jailbreak that was found, meanwhile, appears to have been reported by Amazon, which is notable given Amazon is both an investor in Anthropic and a major provider of inference to the company. As I write this, senior Anthropic staff are in Washington D.C. seeking to resolve what they insist is a misunderstanding, and which White House officials are suggesting is insouciance by the company’s leadership to legitimate national security concerns.

I don’t actually have much to add to the current conflict given how many facts are in dispute; what I am not surprised about is the fact that the conflict is happening: I already explained in Anthropic and Alignment why conflict between the U.S. government and Anthropic was inevitable. To that end, people who are arguing that Mythos isn’t powerful enough to warrant the government’s drastic action are missing the point: if it’s not powerful enough now, the next one will be, or the one after that, particularly now that models are increasingly useful in creating their successors.

[…]

The broader takeaway from that previous episode, however, is that Anthropic believes that they are the ones who should have final say over how Anthropic is used; given that they think only they should be developing leading edge AI, they by extension think that only they should have final say over AI generally. When you further combine this realization with the company’s pronouncements about AI’s ability to conduct all economic activity, you realize that Anthropic’s leadership effectively wants to have power over everything and everyone.

Bruce Schneier:

The government’s actions won’t help. The problem isn’t any one particular model; it’s the general trend of increasing AI capabilities. And any real solution requires the sort of collective action that just isn’t possible right now.

[…]

The broader community had only a few days with Fable, but that time we learned some about its capabilities. Its difference is less the new model’s raw analytical and problem solving capabilities, and more that the model doesn’t need that sophisticated harness.

[…]

Human systems rely on so many norms that we scarcely recognize the existence of until they are broken. AIs naturally think outside the box, because they don’t have any real conception of what the box is or why it’s there in the first place.

There is no foolproof way to prevent people from using AI models to complete harmful tasks. There is no way to prevent the models from incidentally causing harm while completing benign tasks. AI models are no longer isolated from the real world. They browse the internet and answer emails.

Hayden Field:

Anthropic declined to comment multiple times this week about the state of the talks, saying there was no news to share. But the lack of news is the story here. After 14 days of high-intensity negotiations, nobody knows when or if Anthropic’s most powerful AI models will come back, let alone whether President Trump could expand his order to more companies with similar tech.

[…]

It’s not clear exactly why Anthropic and the administration remain at an impasse. One problem may be that there’s no clear framework for applying export controls to AI systems. Most companies making dual-use products — civilian systems with potential defense or military uses — can evaluate them using what’s essentially a checklist during the manufacturing and production process. Anthropic, however, is facing a complicated bureaucracy figuring out how to apply its rules from first principles.

[…]

Katie Moussouris, the founder and CEO of Luta Security, viewed a report about the Fable 5 vulnerability at Anthropic’s request. She thinks it’s significantly overblown. In a blog post, Moussouris detailed how researchers jailbroke guardrails that prevent Fable 5 from finding exploitable security holes, one of the unfettered Mythos 5’s scariest capabilities. […] In Moussouris’ eyes, however, this shouldn’t have triggered such a severe governmental action and is in fact an essential tool for AI coding.

Jared Perlo (Hacker News):

The U.S. government is allowing Anthropic to deploy its Mythos 5 model to a select group of customers and partners, according to a letter from Commerce Secretary Howard Lutnick to Anthropic that was seen by NBC News.

In the letter, Lutnick wrote that the government was confident in the guardrails Anthropic had put in place to allow trusted users to access the powerful AI system.

Julie Bort (Reddit):

It is now allowing Anthropic to make Mythos 5 available to more than 100 specific U.S. government agencies and companies, including allowing the non-American employees at those organizations to access to the model, both Semafor and Reuters report. This list also includes Anthropic’s own non-American employees, who were included in the original ban that forbade non-Americans from accessing the models.

[…]

Apparently, the administration did not address the release of Fable 5 in this directive.

It’s unclear what technical changes Anthropic may have made or what else they may have done to change Lutnick’s mind.

Kate Park (Hacker News):

On Wednesday, Chinese cybersecurity firm 360 reportedly unveiled Tulongfeng, an AI tool it says can go head-to-head with Anthropic’s Mythos.

Dare Obasanjo:

It seems inevitable that OpenAI and Anthropic will lobby the U.S. government to ban Chinese models in much the same way car companies effectively got Biden to ban Chinese EVs with 100% tariffs.

This puts them on a collision course with the hyperscalers like Microsoft who’ll happily host GLM & Kimi.

Previously:

Update (2026-07-01): Anthropic (tweet, Hacker News):

As of today, June 30, the export controls on Fable 5 and Mythos 5 have been lifted.

[…]

We have also restored access to Mythos 5 for a set of US organizations, following the US government’s approval on June 26. We continue to coordinate with the government to expand access to the broader set of domestic and international partners in the Glasswing program.

[…]

Importantly, the reported technique did not expose any unique Mythos-level cyber capabilities. The behavior reflected a borderline case for Fable 5’s safeguards—as we will explain below, there are some tasks that are unlikely to be dangerous but are nonetheless blocked by the safeguards out of an abundance of caution. The reported technique allowed access to one such behavior, but it only involved routine defensive cybersecurity work.

Even so, we moved quickly to address the reported bypass. Working closely with the government, we trained an improved safety classifier that targets and blocks the behavior described in the report. Users will be notified if a request to Fable 5 is blocked, and the request will instead be sent to Opus 4.8.

Qualcomm Acquiring Modular

26 June 2026 at 18:21

Chris Lattner:

I’m excited to share that Qualcomm is acquiring Modular: this will accelerate our path to unifying accelerated compute with an open platform. This will also mark a new era in open software development for Qualcomm.

[…]

This will accelerate our progress and path, and their vision is expansive: [spanning] edge to cloud, CPU, GPU, NPU, and custom ASICs and perhaps more.

Modular (Hacker News):

As AI scales, efficiency, not capability, becomes a constraint. Performance-per-watt drives the cost of inference, and cost determines what scales. Meeting this demand requires more than hardware. Developers need software that connects system-level optimization with heterogeneous, disaggregated compute, turning silicon performance into reliable and efficient AI services across accelerators, environments, and use cases.

Previously:

Apple Hardware Price Hikes

25 June 2026 at 18:27

Osmond Chia (Hacker News, 9To5Mac, Engadget):

Apple plans to raise the prices of its products as the cost of the memory chips it uses has surged, the technology giant’s boss has said.

Tim Cook, Apple’s outgoing chief executive, told the Wall Street Journal (WSJ) that price increases were “unavoidable” as the situation around memory chips had become “unsustainable”.

Nick Heer:

During its holiday quarter, Apple’s profit margin on hardware was 40.7%; in its most recent quarter, that dropped to 38.7% — a remarkable figure for physical products. It is these high margins that led to analysts like Ming-Chi Kuo to claim Apple would keep prices more-or-less stable and offset the additional costs through its even higher-margin — 76.7% — services business.

Adam Engst:

Winkler suggests in his summary that Apple has absorbed the cost increases so far because it has always treated memory and storage upgrades as profit centers. That’s no surprise to the Apple community, which has long chafed at Apple’s premium prices for memory and storage. But now, for instance, the price of standalone internal flash storage is closer to and sometimes even higher than Apple’s upgrade prices.

[…]

Obviously, Apple could absorb such costs and more if it were to accept dramatically lower gross margins. But as high-minded and customer-focused as Apple is, the company is still in business to maximize profit.

I was recently looking to add another SSD and a few hard drives to my setup. Normally, prices go down over time, but currently it SSDs are about double the price I paid last year, and large hard drives are almost triple.

John Gruber (Hacker News):

Apple, to my recollection, has never before issued a warning about price increases. Keep in mind that Apple deals with prices in a very different way from its competitors. For Apple, prices are part of a product’s brand, so they don’t fluctuate with component costs.

Chance Miller (Hacker News, MacRumors, Mac Power Users):

Apple has raised prices across the board for many of its products today. MacBook Neo now starts at $699 (up from $599), while MacBook Air now starts at $1299 (up from $1099). Other impacted products include MacBook Pro, iPad, iPad Air, and many more. iPhone, Apple Watch, and AirPods pricing is unchanged.

Ben Lovejoy:

Earlier this week, I outlined three reasons for agreeing with Mark Gurman that the Apple price increases could be imminent, and that indeed proved to be the case.

iPhones have escaped the increases, but they are otherwise both broad-reaching and pretty dramatic. But perhaps the most surprising thing is that the MacBook Neo has been included …

Tim Hardwick:

Apple today increased the starting price of the Mac mini with M4 Pro chip by $200, taking the higher-tier model up to $1,599 on its online store.

[…]

Apple had already raised the Mac mini’s effective starting price in May by discontinuing the $599 configuration with 16GB of RAM and a 256GB SSD, leaving the $799 model with a 512GB SSD as the new entry-level option. Interestingly, the 16GB RAM / 256GB storage option has now been reinstated, but the $799 starting price remains.

Stephen Hackett has a table of the old and new prices.

Nick Heer:

Pre-announce it with a small delay, thus giving you a temporary sales boost as people scramble to get their orders in at current prices, and to soften the blow when the increases hit.

Matt Birchler:

I also can’t help but see that “we need to begin raising prices on a number of products, including today’s increases for iPad and Mac,” statement as implying more increases are coming. The iPhone price increase seems inevitable, and my money is on it starting with the new models in September.

Simon Sharwood:

Micron CEO, president and chairman Sanjay Mehrotra explained the SCAs in prepared remarks delivered during the company’s Q3 earnings call. He explained that Micron has signed 16 SCAs, most of them covering 2026 to 2030, and that they involve a commitment to buy a certain quantity of product and pay for it in a pricing band that has a floor and a ceiling price. The floor price covers the historically high gross margins mentioned above, and the ceiling price means those who commit to an SCA are insulated if memory prices go even higher.

Previously:

Update (2026-06-26): Hartley Charlton:

Micron’s chief business officer has hinted, without calling it out by name, that Apple’s tough supplier negotiations contributed to the conditions behind the global memory shortage.

M.G. Siegler:

For years, Apple has been able to dominate and dictate to their suppliers thanks to their scale. But the Asian operations which Tim Cook so famously set up, have been upended, like most everything else, by AI. From TSMC on down, Apple is no longer the customer dictating terms for the entire industry, it’s now the company which has taken over the mantle as the most valuable one in the world: NVIDIA.

Joe Rossignol:

Apple’s stock price dropped 6% on the day — its largest single-day loss since April 2025.

John Gruber:

Here’s a table with most of the base models whose prices increased[…]

[…]

iPad prices mostly went up 20–25%, but the hardest hit was the no-adjective base model, which rose almost 30%, from $350 to $450. That’s a big increase for a product meant to appeal to buyers for whom price is obviously their biggest concern.

John Gruber:

Anyone who purchased a MacBook Neo for $600 (or $500 with education discount) between March and this morning purchased the lowest-price MacBook Apple has ever sold — and perhaps the lowest-price MacBook they ever will sell.

Joe Rossignol:

Apple’s full statement:

The consumer electronics industry is facing an unprecedented challenge. The rapid expansion of AI data centers has created an extraordinary surge in demand for memory and storage. We have never seen a component price increase this much, this quickly. We have shielded our customers from these increases so far, but we have now reached a point where we need to begin raising prices on a number of products, including today’s increases for iPad and Mac. We know this is not welcome news, and we are working tirelessly to find solutions.

[…]

Apple indicating that it needs to “begin” raising prices suggests that additional price increases might occur later.

Jason Martin:

“and we are working tirelessly to find solutions.”

I find this to be the most confusing part. Do we believe this to be a genuine effort? Even if so, how would a “solution” actually work? Would they actually lower prices if a solution were to be found?

They also just said they “will continue working” on bringing Siri AI to the EU right before saying in a different venue that they’d stopped working on it.

Jeff Johnson:

In a statement about the price increases, Apple said, “We can no longer shield customers from our 39% gross margin.”

Christina Warren:

Like, truly laughable. $200 for a 64GB Apple TV 4K that is almost 4 years old?

John Gruber (Mastodon):

But even setting aside the prices of competing devices, it just feels wrong to hike prices this much for four-year-old hardware running five-year-old pre-AI silicon. The higher-end model’s price went up 67 percent!

The only way this makes sense is if these prices are really meant for the upcoming new hardware, and those new models are more ambitious home hubs that warrant $200–250 prices.

Previously:

Update (2026-06-29): Zac Hall:

The Financial Times reports that Apple is seeking clearance from the Trump administration to purchase memory chips from a blacklisted Chinese company. The move would help it meet demand for product manufacturing during the ongoing global memory supply shortage.

Perhaps this is the “working tirelessly” that Apple was referring to.

Ben Lovejoy:

Apple previously sought permission from the Biden administration to do the same thing back in 2022, and that did not go well – despite promising to use the chips only for iPhones sold in China …

John Gruber:

Something happens — outside the company’s control — that causes those essential components to rise in price significantly.

[…]

What you cannot do is hold a philosophically consistent logically coherent view where your answer to how a company should respond in such a scenario is contingent on what the “something happens” is that caused component prices to rise.

Maybe—but that’s only relevant if you accept the premise that it was out of Apple’s control. I don’t know the details of the deals, but there’s an argument that the rising costs to Apple are to some extent Apple’s “fault.” If Tim Cook gets credit for helping suppliers expand capacity and locking in contracts for memory at low prices over the past two decades, doesn’t the same logic apply in reverse? The AI-driven shortages were foreseeable—and publicly discussed years ago. If you believe Micron that Apple chose to prioritize its own past numbers rather than securing its future supply, doesn’t that make today’s situation different from, say, a tsunami that unexpectedly wiped out a bunch of factories? I don’t know exactly how the increased costs should be apportioned, but I think the reasons for the costs are relevant, and I don’t think they’re fully exogenous.

sid:

If Apple has the balls to raise the prices of their products, they should also have the balls to increase trade-in values for older devices.

Update (2026-06-30): Kif Leswing:

But while tech giants like Apple and Microsoft, which both announced price hikes this week, have a hefty cash cushion, supply chain leverage and customers numbering in the millions or billions, a much wider swath of businesses face potentially dire straits. Most consumer electronics companies have little margin to spare and can’t confidently raise prices in an economy already grappling with inflationary pressures.

GoPro, the struggling maker of action cameras, warned this month that it might go out of business after memory costs shot up between 80% and 115% at the end of the first quarter. And shares of speaker maker Sonos are down 23% this year as memory prices pressure margins.

Update (2026-07-06): Basic Apple Guy:

Below you’ll find a bunch of charts chronicling the current state of RAMmaggedon, the global memory-chip crisis we currently find ourselves in.

Update (2026-07-22): Tim Hardwick:

Apple’s principal chipmaker TSMC plans to raise prices by as much as 10 percent starting in 2027, according to a new report from Nikkei Asia.

Mandatory Apple Intelligence

19 June 2026 at 20:42

Rodrigo Ghedin (Hacker News):

That show of respect for its customers may change with iOS/macOS 27. Reports suggest that, at least in the first beta, Apple Intelligence is mandatory[…]

[…]

“So what’s the problem?”, you might ask. Apple’s AI takes up several gigabytes of storage and leaves less headroom for RAM.

Brandon Vigliarolo:

Those are small inconveniences, however, compared to my biggest gripe with Siri AI: It’s completely ruined Spotlight.

[…]

The new Siri-first interface that presumes that if you’re searching for anything but an app or file, you must want Siri to feed you a few links of Apple Intelligence’s choosing.

Getting to a web search from a Spotlight query now requires multiple taps: Type your query, tap “Show Results” (careful: hitting enter will trigger Siri to craft a response, eliminating the possibility of seeing any actual Spotlight content), tap on “Show More” next to the list of Siri-surfaced web results, scroll down until you see Search Google (or whatever engine you have set as your default), then tap that.

Apple Intelligence used to be opt-in, but now it seems that you can’t even opt out. I had previously mentioned the removal of the switch in the context of hypocrisy, but it seems there are enough issues here for it to warrant its own post. Also, I had previously written that the switch was combined with Siri, meaning that you could turn off Apple Intelligence if you turned off Siri, too. I now doubt that’s the case.

John Gruber:

I’m thinking that asking for a switch to turn of “Apple Intelligence” systemwide is like asking for a switch to turn off Spotlight.

Indeed, we can turn off Spotlight, both the indexing (except, alas, for APFS Time Machine volumes) and the UI, and I think that’s a good thing.

Previously:

Core AI Announced

18 June 2026 at 19:55

Meet Core AI:

Discover Core AI, Apple’s new framework for on-device AI model deployment. Tour the ecosystem, from Python libraries for converting, authoring, and optimizing models, to a Swift API for simple plug-and-play inference and advanced use cases with strict latency and memory requirements. Explore the new Core AI models repository with ready-to-run examples for popular architectures. See how deep Xcode integration, including ahead-of-time model compilation, streamlines the workflow so you can deliver smarter, more responsive app experiences.

Dive into Core AI model authoring and optimization:

Dive into the complete custom model deployment workflow for Apple silicon with the new Core AI framework. Discover powerful techniques for authoring models using custom Metal kernels, alongside platform-aware compression strategies. The new Core AI Debugger offers deep intrinsic analysis, and AI-assisted workflows guide you from initial concept to optimized on-device execution.

Integrate on-device AI models into your app using Core AI:

Discover a curated collection of popular open-source models — including Qwen, Mistral, SAM3, and more — optimized for Apple silicon using the new Core AI Framework. Learn how to download, run, and benchmark models on your Mac, and integrate them into your app with just a few lines of code. Explore a new workflow for model compilation and on-device specialization to speed up first-time model load. Find out how to profile and optimize runtime performance with Core AI tools in Xcode.

Core AI Documentation (Hacker News):

Core AI helps you build, run, and deploy AI models in your app. Designed with Apple silicon in mind, Core AI allows your app to use the latest model architectures and inference techniques across the CPU, GPU, and Neural Engine. The Swift API makes common tasks simple, while giving you more control over model specialization, caching, and inference performance when needed.

Previously:

SpaceX Acquires xAI, Goes Public, Acquires Cursor

16 June 2026 at 20:37

Elon Musk (February, Hacker News):

SpaceX has acquired xAI to form the most ambitious, vertically-integrated innovation engine on (and off) Earth, with AI, rockets, space-based internet, direct-to-mobile device communications and the world’s foremost real-time information and free speech platform.

[…]

Current advances in AI are dependent on large terrestrial data centers, which require immense amounts of power and cooling. Global electricity demand for AI simply cannot be met with terrestrial solutions, even in the near term, without imposing hardship on communities and the environment.

In the long term, space-based AI is obviously the only way to scale.

There are potential environmental and energy benefits to putting data centers in space, and Blue Origin’s Bezos also thinks this makes sense, but many are convinced that the numbers just don’t work (Reddit).

Kirsten Korosec and Russell Brandom:

But in its 24-year history, nothing quite compared to its initial public offering. Everyone seemed interested — perhaps because of the sheer size of the IPO. The company priced its 555.6 million shares at $135 each to raise $75 billion, making it the largest IPO in history and turning Musk into the world’s first trillionaire. That total raised figure would end up ballooning to $85.7 billion raised.

[…]

SpaceX shares opened June 12 at $150 on the Nasdaq public exchange, an 11% pop for the most anticipated debut in history. And it has continued to rise. The shares kept rising too. In midday trading, SpaceX shares soared 30%. SpaceX shares closed at $160.95, up 19%.

Sean O’Kane:

SpaceX passed Amazon to become the fifth-most valuable company in the world, after its stock price climbed 20% on Monday and more than 8% in early trading Tuesday, pushing its valuation past $2.7 trillion.

Reuters (Hacker News):

SpaceX is buying the startup behind the popular AI coding agent Cursor, Anysphere, for $60 billion in an all-stock deal to boost its presence in the lucrative enterprise AI tools market.

Previously:

Apple Intelligence in appleOS 27

16 June 2026 at 20:36

Apple (MacRumors):

Apple today introduced the next generation of Apple Intelligence, powered by a bold new architecture that integrates the latest Apple Foundation Models deep into Apple’s platforms and is uniquely designed to protect users’ privacy.

[…]

The next generation of Apple Intelligence also helps power Siri AI, an entirely new version of Siri.

[…]

Image Playground offers new powerful ways for users to bring their imagination to life. They can create high-quality images in virtually any style, now including photorealistic, thanks to a new generative model that runs on Private Cloud Compute. This is a major transformation for image generation across platforms. And generated images will automatically include a hidden SynthID watermark to identify them as AI-generated.

[…]

Now Messages offers one-tap suggestions based on the context of users’ conversations, making it easier than ever to get things done, such as creating a reminder or a note.

[…]

Apple Intelligence powers even more enhancements across operating systems. With automatic proofreading, users receive improved suggestions for spelling and grammar as they type across the system.

Damien Petrilli:

Apple WWDC26 “big features”: selling a rebranded gemini.

John Gruber:

What’s confusing about this Apple-Google partnership is that Google pretty much calls all things AI “Gemini”. The models are “Gemini”, the assistant is “Gemini”, and the feature integrations are “Gemini”. So Apple is taking pains to emphasize that they’re building atop the Gemini models, not the Gemini assistant.

Google creating the model, Apple figuring out how to integrate it and make it easy to use. Are we back to Apple and Google each focusing on what they do best?

Dave B.:

This is my favorite Apple event in a long time.

Instead of bombarding you with a million new features that mostly feel half-assed, this feels like it’s actually catered to the user experience instead of to marketing checklists.

Matt Ronge:

All of these AI additions to MacOS/iOS look like nice improvements, but somehow it all feels unambitious given the current state of AI.

But I suppose it’s better for them to underpromise given what happened with Siri last year…

Christina Warren:

As I expected, Apple is going to punt the “on-device” story for Apple Intelligence and push towards the “private cloud compute” story for the models that you’ll actually want to use. I’m glad on-device isn’t going away, but it’s clear a hybrid approach is absolutely necessary

Hartley Charlton:

Apple’s most advanced on-device AI model in iOS 27 requires a minimum of 12GB of unified memory, meaning the standard iPhone 17 is excluded.

Alex Rosenberg:

The 16 Pro was explicitly sold as having Apple Intelligence-capable hardware.

Juli Clover:

Apple today said it is expanding Private Cloud Compute (PCC) beyond its data centers, partnering with Google and NVIDIA to run Apple Intelligence workloads on Google Cloud.

[…]

All server components and software are part of a trusted computing base subject to verifiable transparency and no-privileged-access guarantees, plus Apple has a cryptographically verifiable ledger of all Google Cloud hardware that is part of the PCC fleet to mitigate the risk of supply chain attacks. PCC on Google Cloud also uses many of the same architectural security patterns as PCC on Apple silicon.

John Siracusa:

PSA: Remember that Apple Intelligence is disabled in macOS if you boot from an external drive.

See also: Mac Power Users Talk.

Previously:

Update (2026-06-19): Apple:

As we continue to refine our approach to image generation, the ImageCreator class is being discontinued and will no longer work in iOS 27, iPadOS 27, macOS 27, and visionOS 27 or later.

[…]

Transition to presenting the Image Playground sheet, which provides a consistent, system-managed image generation experience. Alternatively, you can integrate another image generation service of your choice.

❌