Apple Intelligence

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Apple Intelligence is the personal intelligence system that puts powerful generative models right at the core of your iPhone, iPad, and Mac and powers incredible new features to help users communicate, work, and express themselves.

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app intents not working with placeholders and without app name
I tried this: struct CarShortcutsProvider: AppShortcutsProvider { @AppShortcutsBuilder static var appShortcuts: [AppShortcut] { AppShortcut( intent: LockCarIntent(), phrases: ["Lock my car with \(.applicationName)", "Lock my \(\.$car) with \(.applicationName)"], shortTitle: LocalizedStringResource("Lock Car"), systemImageName: "lock.fill" ) AppShortcut( intent: UnlockCarIntent(), phrases: ["Unlock my car with \(.applicationName)", "Unlock my \(\.$car) with \(.applicationName)"], shortTitle: LocalizedStringResource("Unlock Car"), systemImageName: "lock.open.fill" ) } } but Siri only understands "unlock my car ", not with the placeholder. Siri asks me then for the car, and it understands it, but not in one sentence. Is there something wrong with my code? Also I tried it without applicationName first, and then it didn't work at all with Siri. Is this a general limitation of app intents? I thought the goal was to reduce friction. If the user has to mention the app name all the time, it adds friction.
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493
Nov ’24
Dynamic AssistantSchema.CameraEnum
Hi, I have some questions about the new AssistantSchema.CameraEnum.captureDevice introduced with iOS 18 beta 4. Here's the context. I create a intent: @AssistantIntent(schema: .camera.setDevice) struct SetDeviceIntent { var device: CaptureDevice func perform() async throws -> some IntentResult { .result() } } @AssistantEnum(schema: .camera.captureDevice) enum CaptureDevice: String { case front case back case ultrawide } Some CaptureDevice cases are not available on some devices. e.g: CaptureMode.ultrawide is only available on iPhone, not on iPad. How can we make CaptureDevice dynamic? I don't think AppEnum supports @Dependency or something else.
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642
Jul ’24
Building Real-Time Voice Input on macOS 26 with SpeechAnalyzer + ScreenCaptureKit
We built an open-source macOS menu bar app that turns speech into text and pastes it into the active app — using SpeechAnalyzer for on-device transcription, ScreenCaptureKit + Vision for screen-aware context, and FluidAudio for speaker diarization in meeting mode. Here's what we learned shipping it on macOS 26. GitHub: github.com/Marvinngg/ambient-voice Architecture The app has two modes: hotkey dictation (press to talk, release to inject) and meeting recording (continuous transcription with a floating panel). Dictation Mode Audio capture uses AVCaptureSession (more on why below). The captured audio feeds into SpeechAnalyzer via an AsyncStream: let transcriber = SpeechTranscriber( locale: locale, transcriptionOptions: [], reportingOptions: [.volatileResults, .alternativeTranscriptions], attributeOptions: [.audioTimeRange, .transcriptionConfidence] ) let analyzer = SpeechAnalyzer(modules: [transcriber]) let (inputSequence, inputBuilder) = AsyncStream.makeStream() try await analyzer.start(inputSequence: inputSequence) While recording, we capture a screenshot of the focused window using ScreenCaptureKit, run Vision OCR (VNRecognizeTextRequest), extract keywords, and inject them into SpeechAnalyzer as contextual bias: let context = AnalysisContext() context.contextualStrings[.general] = ocrKeywords try await analyzer.setContext(context) This improves accuracy for technical terms and proper nouns visible on screen. If your screen shows "SpeechAnalyzer", saying it out loud is more likely to be transcribed correctly. After transcription, an optional L2 step sends the text through a local LLM (ollama) for spoken-to-written cleanup, then CGEvent simulates Cmd+V to paste into the active app. Meeting Mode Meeting mode forks the same audio stream to two consumers: SpeechAnalyzer — real-time streaming transcription, displayed in a floating NSPanel FluidAudio buffer — accumulates 16kHz Float32 mono samples for batch speaker diarization after recording stops When the user ends the meeting, FluidAudio's performCompleteDiarization() runs on the accumulated audio. We align transcription segments with speaker segments using audioTimeRange overlap matching — each transcription segment gets assigned the speaker ID with the most time overlap. Results export to Markdown. Pitfalls We Hit on macOS 26 1. AVAudioEngine installTap doesn't fire with Bluetooth devices We started with AVAudioEngine.inputNode.installTap() for audio capture. It worked fine with built-in mics but the tap callback never fired with Bluetooth devices (tested with vivo TWS 4 Hi-Fi). Fix: switched to AVCaptureSession. The delegate callback captureOutput(_:didOutput:from:) fires reliably regardless of audio device. The tradeoff is you get CMSampleBuffer instead of AVAudioPCMBuffer, so you need a conversion step. 2. NSEvent addGlobalMonitorForEvents crashes Our global hotkey listener used NSEvent.addGlobalMonitorForEvents. On macOS 26, this crashes with a Bus error inside GlobalObserverHandler — appears to be a Swift actor runtime issue. Fix: switched to CGEventTap. Works reliably, but the callback runs on a CFRunLoop context, which Swift doesn't recognize as MainActor. 3. CGEventTap callbacks aren't on MainActor If your CGEventTap callback touches any @MainActor state, you'll get concurrency violations. The callback runs on whatever thread owns the CFRunLoop. Fix: bridge with DispatchQueue.main.async {} inside the tap callback before touching any MainActor state. 4. CGPreflightScreenCaptureAccess doesn't request permission We used CGPreflightScreenCaptureAccess() as a guard before calling ScreenCaptureKit. If it returned false, we'd bail out. The problem: this function only checks — it never triggers macOS to add your app to the Screen Recording permission list. Chicken-and-egg: you can't get permission because you never ask for it. Fix: call CGRequestScreenCaptureAccess() at app startup. This adds your app to System Settings → Screen Recording. Then let ScreenCaptureKit calls proceed without the preflight guard — SCShareableContent will also trigger the permission prompt on first use. 5. Ad-hoc signing breaks TCC permissions on every rebuild During development, codesign --sign - (ad-hoc) generates a different code directory hash on every build. macOS TCC tracks permissions by this hash, so every rebuild = new app identity = all permissions reset. Fix: sign with a stable certificate. If you have an Apple Development certificate, use that. The TeamIdentifier stays constant across rebuilds, so TCC permissions persist. We also discovered that launching via open WE.app (LaunchServices) instead of directly executing the binary is required — otherwise macOS attributes TCC permissions to Terminal, not your app. Benchmarks We ran end-to-end benchmarks on public datasets (Mac Mini M4 16GB, macOS 26): Transcription (SpeechAnalyzer, AliMeeting Chinese): • Near-field CER 34% (excluding outliers ~25%) • Far-field CER 40% (single channel, no beamforming, >30% overlap) • Processing speed 74-89x real-time Speaker diarization (FluidAudio offline): • AMI English 16 meetings: avg DER 23.2% (collar=0.25s, ignoreOverlap=True) • AliMeeting Chinese 8 meetings: DER 48.5% (including overlap regions) • Memory: RSS ~500MB, peak 730-930MB Full evaluation methodology, scripts, and raw results are in the repo. Open Source The project is MIT licensed: github.com/Marvinngg/ambient-voice It includes the macOS client (Swift 6.2, SPM), server-side distillation/training scripts (Python), and a complete evaluation framework with reproducible benchmarks. Feedback and contributions welcome.
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Mar ’26
Best approach for animating a speaking avatar in a macOS/iOS SwiftUI application
I am developing a macOS application using SwiftUI (with an iOS version as well). One feature we are exploring is displaying an avatar that reads or speaks dynamically generated text produced by an AI service. The basic flow would be: Text generated by an AI service Text converted to speech using a TTS engine An avatar (2D or 3D) rendered in the app that animates lip movement synchronized with the speech Ideally the avatar would render locally on the device. Questions: What Apple frameworks would be most appropriate for implementing a speaking avatar? SceneKit RealityKit SpriteKit (for 2D avatars) Is there any recommended way to drive lip-sync animation from speech audio using Apple frameworks? Does AVSpeechSynthesizer expose phoneme or viseme timing information that could be used for avatar animation? If such timing information is not available, what is the recommended approach for synchronizing character mouth animation with speech audio on macOS/iOS? Are there examples of real-time character animation synchronized with speech on macOS/iOS? Any architectural guidance or references would be greatly appreciated.
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1.1k
Mar ’26
From Apple Dev.
Early access to Image Playground, Genmoji, and Image Wand  Apple Oct 25, 2024 at 5:58 PM With the iOS & iPadOS 18.2 and macOS Sequoia 15.2 betas, you can join the waitlist for early access to Image Playground, Genmoji, and Image Wand in order to test and help improve these features. You can request access within any one of these experiences: Image Playground app Image Playground integration in Messages or Freeform Genmoji integration in the emoji keyboard, or Image Wand within the Apple Pencil tool palette in Notes We will roll out access to Image Playground, Genmoji, and Image Wand over the coming weeks. When the features are ready for you to test, you will be notified. After you receive access, you can tap the thumbs up or thumbs down that appear with each result in Image Playground, Genmoji, and Image Wand in order to provide feedback.
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459
Oct ’24
AssistantIntent for Photos without library access
The new .photos AssistantSchema for intents allow integrating App Intents for Photos-related actions with Apple Intelligence. I was wondering if it would be possible to create intents that do not require full library access. Our app supports loading image from Photos via the PHPicker, which doesn't require any user permission. Now we want to support the .photos.openAsset schema in an app intent to allow interactions like "Open this image in BeCasso and apply preset X". Would that be possible without full library access?
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753
Jul ’24
siri waitlist
How are some people getting access within 10 minutes while I've been waiting for over a week? In fact, it's been 48 hrs since I joined the waitlist. This is honestly ridiculous. I've met all the requirements, enabled every necessary setting, and still have no access. Meanwhile, others are getting approved almost instantly. If the rollout is based on a waitlist, then it should be handled fairly and consistently. Waiting this long for a feature update is extremely frustrating, especially when there has been little to no communication about the delay.
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Jun ’26
Pre-Effectuation Execution Finality for Siri and App Intents
I would like to discuss a possible security architecture for Siri, Apple Intelligence, and App Intents where permission to invoke an app action is separated from permission for that specific action to become externally effective. For low-risk actions, existing authorization may be sufficient. However, for higher-consequence actions—such as payments, file export, message transmission, account changes, device control, or other irreversible operations—there may be value in introducing an additional execution-finality boundary. Problem Space An AI assistant may be authorized to invoke an App Intent, but that does not necessarily mean every resulting action should immediately become effective. For example: Siri may be allowed to invoke a payment-related intent, but not every amount or recipient should necessarily be executable. An app may expose a file-sharing intent, but a particular file or destination may fall outside the permitted scope. An AI-generated message may be validly created, but its final transmission may require additional execution-specific validation. Context, permission, destination, revocation state, or security state may change between intent generation and actual execution. The proposed distinction is: Permission to invoke an App Intent versus Permission for the specific resulting act to become externally effective Proposed Architecture A high-consequence action could first become a Candidate Act and remain in a Non-Effective State. Conceptually: Siri / Apple Intelligence ↓ App Intent ↓ Candidate Act ↓ Non-Effective State ↓ Protected Validation ↓ Scoped Execution Authority ↓ Finality Sink Verification ↓ External Effect If validation fails, expires, is revoked, is replayed, or becomes ambiguous: Default Denial → No External Effect Short Definitions Candidate Act The specific operation proposed by Siri, Apple Intelligence, or an app before it is allowed to create an external consequence. Non-Effective State A state in which the operation may be prepared, inspected, or evaluated but cannot yet produce its intended external effect. Protected Validation A validation step checking execution-relevant conditions such as app identity, user authorization, purpose, destination, scope, freshness, limits, revocation state, or device security state. Scoped Execution Authority Authority limited to the specific validated action rather than a broadly reusable permission. Finality Sink The consequence boundary where the action becomes externally effective—for example, a network transmission, file release, payment commit, database change, or physical-device action. Why This Could Be Useful This architecture could provide: separation of AI decision-making from final execution authority; fail-closed behavior for invalid or uncertain actions; resistance to replay or stale authorization; action-specific rather than broadly reusable authority; validation closer to the actual consequence boundary; stronger control for increasingly autonomous AI workflows. This would be intended as an optional mechanism for higher-consequence actions, not as a replacement for App Intents, existing user authorization, entitlements, sandboxing, or other Apple security mechanisms. Possible Interoperability Relevance This question may also become relevant as operating-system interoperability requirements evolve, including in the European Union under the Digital Markets Act. As third-party AI assistants and services gain deeper interoperability with operating-system features, there may be a need to distinguish between allowing an interoperating service to request an action and allowing that specific action to cross the final consequence boundary. A device-side execution-finality mechanism could potentially provide a technical middle layer: third-party AI services could request interoperable actions, while the operating system retains a neutral protected mechanism for validating the specific action immediately before it becomes externally effective. This may help explore how broader interoperability and strong device-side security could coexist without requiring unrestricted execution authority for either first-party or third-party AI assistants. I would be interested in whether Apple considers this type of consequence-boundary enforcement compatible with existing or future App Intents and interoperability architectures. Questions for Apple Engineers and Developers Does App Intents currently provide a supported mechanism for maintaining an action in a non-effective state until execution-specific authorization is verified? Where would Apple consider the correct enforcement point for such validation: App Intents, the host application, an OS-mediated service, or the actual consequence boundary? Is there an existing Apple framework or security primitive intended to provide this kind of action-specific, pre-effectuation execution authority? Would this model be relevant as Siri and Apple Intelligence gain the ability to perform more cross-app and agentic actions? Could an OS-mediated finality mechanism also provide a common security boundary for first-party and interoperating third-party AI assistants? I am particularly interested in understanding whether this should be considered an App Intents implementation pattern, an operating-system security concern, or a broader architectural mechanism for secure AI interoperability.
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I got old Siri UI instead
I’m on a base iPhone 17 and I‘ve been approved from the waitlist over two weeks ago and when I use Siri, I get the old Siri from before Apple Intelligence was a thing (Glowy orb at the bottom). Inside Siri settings, it looks like it’s supposed to be set up for the new SirI as it shows the app settings. Here are my observations I have found from using beta 1 to 2. Beta 1: Whenever I have the new Siri “enabled”, there is no app I can type “siri://“ and it‘ll open the Siri open saying that’s there’s an update in progress. But if I type that in when I’m using the previous Siri, the app is there and it’s blank When new Siri is ”enabled” and whenever I ask Siri a question she’ll either think and never stop or output a blank answer. But when I turn Siri back to its previous version and open the “sir://“, it stores the conversation and when I open it, it actually answered my question. Beta 2: When installing beta 2 I said “new Siri“ enabled Once it was done installing, I went to iPhone storage and saw that “Apple Intelligence“ storage is increasing size. But then after a minute, it went back down to 14GB Still gave me the old Siri UI Now the siri app is not accessible when typing “siri://“ Siri mode is now in the camera app but it says it’s unavailable The ChatGPT extension area is now blocked because assets are downloading Whenever I visual intelligence and press ask it says that siri support is downloading I left siri alone for 3 days and nothing happened. Still stuck with old siri The ask siri option is everywhere now and when I press it, nothing happens Right now I’m using the previous version of Siri and hoping this bug will be patched and I can use the new Siri AI in Beta 3. *the screenshot provided shows what happens when I use Siri in beta 2 when it’s enabled.
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415
Jun ’26
Visual Intelligence -- Make OpenIntent show a sheet rather than open my App
The developer tutorial for visual intelligence indicates that the method to detect and handle taps on a displayed entity from the Search section is via an "OpenIntent" associated with your entity. However, running this intent executes code from within my app. If I have the perform() method display UI, it always displays UI from within my app. I noticed that the Google app's integration to visual intelligence has a different behavior-- tapping on an entity does not take you to the Google app -- instead, a Webview is presented sheet-style WITHIN the Visual Intelligence environment (see below) How is that accomplished?
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683
Sep ’25
Apple Mail compose field becomes uneditable after using Apple Intelligence rewriting tools on macOS 27 Developer Beta 1
Apple Mail compose field becomes uneditable after using Apple Intelligence rewriting tools on macOS 27 Developer Beta 1 I am seeing a reproducible issue in Apple Mail on macOS 27 Developer Beta 1 where the compose body becomes locked/uneditable after using Apple Intelligence writing tools. Environment Mac: macOS: macOS 27.0 Developer Beta 1 Build: 26A5353q Device: MacBook Pro with Apple Silicon shouldSwitchToCampoMode: false (isEnhancedSiriAvailable=false) App: Apple Mail Compose window Apple Intelligence Writing Tools Summary When composing an email in Apple Mail, if I write some text and then use Apple Intelligence to rewrite it — for example using Friendly, Professional, or Concise — Mail replaces the original text with the rewritten version. After the rewritten text is inserted, the message body becomes unresponsive. I cannot continue typing, edit the rewritten text, delete text, select text normally, or add new content inside the email body. The Apple Intelligence button also becomes unresponsive after this happens. The only actions that still seem to work are sending the email, discarding the draft, or using some toolbar actions such as emoji insertion. Steps to Reproduce Open Apple Mail on macOS 27 Developer Beta 1. Create a new email. Type any text into the email body. Use Apple Intelligence Writing Tools. Choose a rewrite option such as: Friendly Professional Concise Let Apple Intelligence replace/update the email body text. Try to click back into the message body and continue typing or editing. Expected Result After Apple Intelligence rewrites the email body, the compose field should remain fully editable. The user should be able to: Continue typing after the rewritten text Edit or delete the rewritten text Select and modify text Use Apple Intelligence again on the updated content Continue composing the email normally Actual Result After Apple Intelligence inserts the rewritten text: The email body becomes uneditable. Typing no longer works inside the message body. Clicking inside the body does not restore normal editing. Existing text cannot be edited or changed. Apple Intelligence controls become unresponsive. The compose window itself does not fully crash, but the body editor appears stuck. Send and discard still appear to work. Reproducibility This appears to be reproducible after using Apple Intelligence rewriting tools inside Apple Mail’s compose window. It was working before, so this appears to be a regression in macOS 27 Developer Beta 1.
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204
Jun ’26
is it possible to let siri monitor phone calls, and notify me when a certain trigger happens?
the specific context is that i would like to build an agent that monitors my phone call (with a customer support for example), and simiply identify whether or not im still put on hold, and notify me when im not. currently after reading the doc, i dont think its possible yet, but im so annoyed by the customer support calls that im willing to go the distance and see if theres any way.
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226
Jun ’25
app intents not working with placeholders and without app name
I tried this: struct CarShortcutsProvider: AppShortcutsProvider { @AppShortcutsBuilder static var appShortcuts: [AppShortcut] { AppShortcut( intent: LockCarIntent(), phrases: ["Lock my car with \(.applicationName)", "Lock my \(\.$car) with \(.applicationName)"], shortTitle: LocalizedStringResource("Lock Car"), systemImageName: "lock.fill" ) AppShortcut( intent: UnlockCarIntent(), phrases: ["Unlock my car with \(.applicationName)", "Unlock my \(\.$car) with \(.applicationName)"], shortTitle: LocalizedStringResource("Unlock Car"), systemImageName: "lock.open.fill" ) } } but Siri only understands "unlock my car ", not with the placeholder. Siri asks me then for the car, and it understands it, but not in one sentence. Is there something wrong with my code? Also I tried it without applicationName first, and then it didn't work at all with Siri. Is this a general limitation of app intents? I thought the goal was to reduce friction. If the user has to mention the app name all the time, it adds friction.
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2
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493
Activity
Nov ’24
Detect if Apple Intelligence is enabled on Mac
Very simple question, is there a way to detect if a user has Apple intelligence enabled on their Mac? Id like to make some interface tweaks when it’s available And enable.
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410
Activity
Oct ’24
Dynamic AssistantSchema.CameraEnum
Hi, I have some questions about the new AssistantSchema.CameraEnum.captureDevice introduced with iOS 18 beta 4. Here's the context. I create a intent: @AssistantIntent(schema: .camera.setDevice) struct SetDeviceIntent { var device: CaptureDevice func perform() async throws -> some IntentResult { .result() } } @AssistantEnum(schema: .camera.captureDevice) enum CaptureDevice: String { case front case back case ultrawide } Some CaptureDevice cases are not available on some devices. e.g: CaptureMode.ultrawide is only available on iPhone, not on iPad. How can we make CaptureDevice dynamic? I don't think AppEnum supports @Dependency or something else.
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2
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642
Activity
Jul ’24
Building Real-Time Voice Input on macOS 26 with SpeechAnalyzer + ScreenCaptureKit
We built an open-source macOS menu bar app that turns speech into text and pastes it into the active app — using SpeechAnalyzer for on-device transcription, ScreenCaptureKit + Vision for screen-aware context, and FluidAudio for speaker diarization in meeting mode. Here's what we learned shipping it on macOS 26. GitHub: github.com/Marvinngg/ambient-voice Architecture The app has two modes: hotkey dictation (press to talk, release to inject) and meeting recording (continuous transcription with a floating panel). Dictation Mode Audio capture uses AVCaptureSession (more on why below). The captured audio feeds into SpeechAnalyzer via an AsyncStream: let transcriber = SpeechTranscriber( locale: locale, transcriptionOptions: [], reportingOptions: [.volatileResults, .alternativeTranscriptions], attributeOptions: [.audioTimeRange, .transcriptionConfidence] ) let analyzer = SpeechAnalyzer(modules: [transcriber]) let (inputSequence, inputBuilder) = AsyncStream.makeStream() try await analyzer.start(inputSequence: inputSequence) While recording, we capture a screenshot of the focused window using ScreenCaptureKit, run Vision OCR (VNRecognizeTextRequest), extract keywords, and inject them into SpeechAnalyzer as contextual bias: let context = AnalysisContext() context.contextualStrings[.general] = ocrKeywords try await analyzer.setContext(context) This improves accuracy for technical terms and proper nouns visible on screen. If your screen shows "SpeechAnalyzer", saying it out loud is more likely to be transcribed correctly. After transcription, an optional L2 step sends the text through a local LLM (ollama) for spoken-to-written cleanup, then CGEvent simulates Cmd+V to paste into the active app. Meeting Mode Meeting mode forks the same audio stream to two consumers: SpeechAnalyzer — real-time streaming transcription, displayed in a floating NSPanel FluidAudio buffer — accumulates 16kHz Float32 mono samples for batch speaker diarization after recording stops When the user ends the meeting, FluidAudio's performCompleteDiarization() runs on the accumulated audio. We align transcription segments with speaker segments using audioTimeRange overlap matching — each transcription segment gets assigned the speaker ID with the most time overlap. Results export to Markdown. Pitfalls We Hit on macOS 26 1. AVAudioEngine installTap doesn't fire with Bluetooth devices We started with AVAudioEngine.inputNode.installTap() for audio capture. It worked fine with built-in mics but the tap callback never fired with Bluetooth devices (tested with vivo TWS 4 Hi-Fi). Fix: switched to AVCaptureSession. The delegate callback captureOutput(_:didOutput:from:) fires reliably regardless of audio device. The tradeoff is you get CMSampleBuffer instead of AVAudioPCMBuffer, so you need a conversion step. 2. NSEvent addGlobalMonitorForEvents crashes Our global hotkey listener used NSEvent.addGlobalMonitorForEvents. On macOS 26, this crashes with a Bus error inside GlobalObserverHandler — appears to be a Swift actor runtime issue. Fix: switched to CGEventTap. Works reliably, but the callback runs on a CFRunLoop context, which Swift doesn't recognize as MainActor. 3. CGEventTap callbacks aren't on MainActor If your CGEventTap callback touches any @MainActor state, you'll get concurrency violations. The callback runs on whatever thread owns the CFRunLoop. Fix: bridge with DispatchQueue.main.async {} inside the tap callback before touching any MainActor state. 4. CGPreflightScreenCaptureAccess doesn't request permission We used CGPreflightScreenCaptureAccess() as a guard before calling ScreenCaptureKit. If it returned false, we'd bail out. The problem: this function only checks — it never triggers macOS to add your app to the Screen Recording permission list. Chicken-and-egg: you can't get permission because you never ask for it. Fix: call CGRequestScreenCaptureAccess() at app startup. This adds your app to System Settings → Screen Recording. Then let ScreenCaptureKit calls proceed without the preflight guard — SCShareableContent will also trigger the permission prompt on first use. 5. Ad-hoc signing breaks TCC permissions on every rebuild During development, codesign --sign - (ad-hoc) generates a different code directory hash on every build. macOS TCC tracks permissions by this hash, so every rebuild = new app identity = all permissions reset. Fix: sign with a stable certificate. If you have an Apple Development certificate, use that. The TeamIdentifier stays constant across rebuilds, so TCC permissions persist. We also discovered that launching via open WE.app (LaunchServices) instead of directly executing the binary is required — otherwise macOS attributes TCC permissions to Terminal, not your app. Benchmarks We ran end-to-end benchmarks on public datasets (Mac Mini M4 16GB, macOS 26): Transcription (SpeechAnalyzer, AliMeeting Chinese): • Near-field CER 34% (excluding outliers ~25%) • Far-field CER 40% (single channel, no beamforming, >30% overlap) • Processing speed 74-89x real-time Speaker diarization (FluidAudio offline): • AMI English 16 meetings: avg DER 23.2% (collar=0.25s, ignoreOverlap=True) • AliMeeting Chinese 8 meetings: DER 48.5% (including overlap regions) • Memory: RSS ~500MB, peak 730-930MB Full evaluation methodology, scripts, and raw results are in the repo. Open Source The project is MIT licensed: github.com/Marvinngg/ambient-voice It includes the macOS client (Swift 6.2, SPM), server-side distillation/training scripts (Python), and a complete evaluation framework with reproducible benchmarks. Feedback and contributions welcome.
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1.3k
Activity
Mar ’26
Siri Ai
I don’t think this Siri waitlist is normal, I am on iPhone 16 Pro Max in the US set to English and I’ve been on the new Siri waitlist for >48 hours. Is this a bug?
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139
Activity
Jun ’26
Best approach for animating a speaking avatar in a macOS/iOS SwiftUI application
I am developing a macOS application using SwiftUI (with an iOS version as well). One feature we are exploring is displaying an avatar that reads or speaks dynamically generated text produced by an AI service. The basic flow would be: Text generated by an AI service Text converted to speech using a TTS engine An avatar (2D or 3D) rendered in the app that animates lip movement synchronized with the speech Ideally the avatar would render locally on the device. Questions: What Apple frameworks would be most appropriate for implementing a speaking avatar? SceneKit RealityKit SpriteKit (for 2D avatars) Is there any recommended way to drive lip-sync animation from speech audio using Apple frameworks? Does AVSpeechSynthesizer expose phoneme or viseme timing information that could be used for avatar animation? If such timing information is not available, what is the recommended approach for synchronizing character mouth animation with speech audio on macOS/iOS? Are there examples of real-time character animation synchronized with speech on macOS/iOS? Any architectural guidance or references would be greatly appreciated.
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1.1k
Activity
Mar ’26
From Apple Dev.
Early access to Image Playground, Genmoji, and Image Wand  Apple Oct 25, 2024 at 5:58 PM With the iOS & iPadOS 18.2 and macOS Sequoia 15.2 betas, you can join the waitlist for early access to Image Playground, Genmoji, and Image Wand in order to test and help improve these features. You can request access within any one of these experiences: Image Playground app Image Playground integration in Messages or Freeform Genmoji integration in the emoji keyboard, or Image Wand within the Apple Pencil tool palette in Notes We will roll out access to Image Playground, Genmoji, and Image Wand over the coming weeks. When the features are ready for you to test, you will be notified. After you receive access, you can tap the thumbs up or thumbs down that appear with each result in Image Playground, Genmoji, and Image Wand in order to provide feedback.
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459
Activity
Oct ’24
Apple Intelligence "Personality Discovery"
Hey Chat, I'm researching personality analysis using LLMs, and I'm curious about whether Apple’s AI can be allowed access to your messages, Instagram DMs, and similar communications to perform a personality analysis based on your writing style. If anyone has insights on this, I would greatly appreciate your input. Thx a ton
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692
Activity
Dec ’24
AssistantIntent for Photos without library access
The new .photos AssistantSchema for intents allow integrating App Intents for Photos-related actions with Apple Intelligence. I was wondering if it would be possible to create intents that do not require full library access. Our app supports loading image from Photos via the PHPicker, which doesn't require any user permission. Now we want to support the .photos.openAsset schema in an app intent to allow interactions like "Open this image in BeCasso and apply preset X". Would that be possible without full library access?
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0
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0
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753
Activity
Jul ’24
siri waitlist
How are some people getting access within 10 minutes while I've been waiting for over a week? In fact, it's been 48 hrs since I joined the waitlist. This is honestly ridiculous. I've met all the requirements, enabled every necessary setting, and still have no access. Meanwhile, others are getting approved almost instantly. If the rollout is based on a waitlist, then it should be handled fairly and consistently. Waiting this long for a feature update is extremely frustrating, especially when there has been little to no communication about the delay.
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104
Activity
Jun ’26
Pre-Effectuation Execution Finality for Siri and App Intents
I would like to discuss a possible security architecture for Siri, Apple Intelligence, and App Intents where permission to invoke an app action is separated from permission for that specific action to become externally effective. For low-risk actions, existing authorization may be sufficient. However, for higher-consequence actions—such as payments, file export, message transmission, account changes, device control, or other irreversible operations—there may be value in introducing an additional execution-finality boundary. Problem Space An AI assistant may be authorized to invoke an App Intent, but that does not necessarily mean every resulting action should immediately become effective. For example: Siri may be allowed to invoke a payment-related intent, but not every amount or recipient should necessarily be executable. An app may expose a file-sharing intent, but a particular file or destination may fall outside the permitted scope. An AI-generated message may be validly created, but its final transmission may require additional execution-specific validation. Context, permission, destination, revocation state, or security state may change between intent generation and actual execution. The proposed distinction is: Permission to invoke an App Intent versus Permission for the specific resulting act to become externally effective Proposed Architecture A high-consequence action could first become a Candidate Act and remain in a Non-Effective State. Conceptually: Siri / Apple Intelligence ↓ App Intent ↓ Candidate Act ↓ Non-Effective State ↓ Protected Validation ↓ Scoped Execution Authority ↓ Finality Sink Verification ↓ External Effect If validation fails, expires, is revoked, is replayed, or becomes ambiguous: Default Denial → No External Effect Short Definitions Candidate Act The specific operation proposed by Siri, Apple Intelligence, or an app before it is allowed to create an external consequence. Non-Effective State A state in which the operation may be prepared, inspected, or evaluated but cannot yet produce its intended external effect. Protected Validation A validation step checking execution-relevant conditions such as app identity, user authorization, purpose, destination, scope, freshness, limits, revocation state, or device security state. Scoped Execution Authority Authority limited to the specific validated action rather than a broadly reusable permission. Finality Sink The consequence boundary where the action becomes externally effective—for example, a network transmission, file release, payment commit, database change, or physical-device action. Why This Could Be Useful This architecture could provide: separation of AI decision-making from final execution authority; fail-closed behavior for invalid or uncertain actions; resistance to replay or stale authorization; action-specific rather than broadly reusable authority; validation closer to the actual consequence boundary; stronger control for increasingly autonomous AI workflows. This would be intended as an optional mechanism for higher-consequence actions, not as a replacement for App Intents, existing user authorization, entitlements, sandboxing, or other Apple security mechanisms. Possible Interoperability Relevance This question may also become relevant as operating-system interoperability requirements evolve, including in the European Union under the Digital Markets Act. As third-party AI assistants and services gain deeper interoperability with operating-system features, there may be a need to distinguish between allowing an interoperating service to request an action and allowing that specific action to cross the final consequence boundary. A device-side execution-finality mechanism could potentially provide a technical middle layer: third-party AI services could request interoperable actions, while the operating system retains a neutral protected mechanism for validating the specific action immediately before it becomes externally effective. This may help explore how broader interoperability and strong device-side security could coexist without requiring unrestricted execution authority for either first-party or third-party AI assistants. I would be interested in whether Apple considers this type of consequence-boundary enforcement compatible with existing or future App Intents and interoperability architectures. Questions for Apple Engineers and Developers Does App Intents currently provide a supported mechanism for maintaining an action in a non-effective state until execution-specific authorization is verified? Where would Apple consider the correct enforcement point for such validation: App Intents, the host application, an OS-mediated service, or the actual consequence boundary? Is there an existing Apple framework or security primitive intended to provide this kind of action-specific, pre-effectuation execution authority? Would this model be relevant as Siri and Apple Intelligence gain the ability to perform more cross-app and agentic actions? Could an OS-mediated finality mechanism also provide a common security boundary for first-party and interoperating third-party AI assistants? I am particularly interested in understanding whether this should be considered an App Intents implementation pattern, an operating-system security concern, or a broader architectural mechanism for secure AI interoperability.
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5d
Waiting for indexing and Siri setup
I have been waiting for both of these going on 24 hours with nothing happening
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Jun ’26
I got old Siri UI instead
I’m on a base iPhone 17 and I‘ve been approved from the waitlist over two weeks ago and when I use Siri, I get the old Siri from before Apple Intelligence was a thing (Glowy orb at the bottom). Inside Siri settings, it looks like it’s supposed to be set up for the new SirI as it shows the app settings. Here are my observations I have found from using beta 1 to 2. Beta 1: Whenever I have the new Siri “enabled”, there is no app I can type “siri://“ and it‘ll open the Siri open saying that’s there’s an update in progress. But if I type that in when I’m using the previous Siri, the app is there and it’s blank When new Siri is ”enabled” and whenever I ask Siri a question she’ll either think and never stop or output a blank answer. But when I turn Siri back to its previous version and open the “sir://“, it stores the conversation and when I open it, it actually answered my question. Beta 2: When installing beta 2 I said “new Siri“ enabled Once it was done installing, I went to iPhone storage and saw that “Apple Intelligence“ storage is increasing size. But then after a minute, it went back down to 14GB Still gave me the old Siri UI Now the siri app is not accessible when typing “siri://“ Siri mode is now in the camera app but it says it’s unavailable The ChatGPT extension area is now blocked because assets are downloading Whenever I visual intelligence and press ask it says that siri support is downloading I left siri alone for 3 days and nothing happened. Still stuck with old siri The ask siri option is everywhere now and when I press it, nothing happens Right now I’m using the previous version of Siri and hoping this bug will be patched and I can use the new Siri AI in Beta 3. *the screenshot provided shows what happens when I use Siri in beta 2 when it’s enabled.
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415
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Jun ’26
it is taking quite a while now
When I pressed an early access a few days ago and when I check it it still says we will notify you when it is ready can apple please fix this problem with image playground
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Dec ’24
Still waiting for early access to Playground etc
Hiya, I have downloaded the update and requested early access for playground etc yet almost a week in and I’m still waiting for early access, anyone else having this problem?
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Nov ’24
Can ChatGPT use through Apple Intelligence be restricted on device level?
I would like to explore the option of restricting system prompts to share information with ChatGPT on my company's laptops. Is this possible, and if so, how can it be implemented? Should this be centralized, or should each user handle it individually?
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Nov ’24
Visual Intelligence -- Make OpenIntent show a sheet rather than open my App
The developer tutorial for visual intelligence indicates that the method to detect and handle taps on a displayed entity from the Search section is via an "OpenIntent" associated with your entity. However, running this intent executes code from within my app. If I have the perform() method display UI, it always displays UI from within my app. I noticed that the Google app's integration to visual intelligence has a different behavior-- tapping on an entity does not take you to the Google app -- instead, a Webview is presented sheet-style WITHIN the Visual Intelligence environment (see below) How is that accomplished?
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Sep ’25
I have seen NewSiri app,but it‘s not available
When I use Siri, it keeps reporting errors.
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Jun ’26
Apple Mail compose field becomes uneditable after using Apple Intelligence rewriting tools on macOS 27 Developer Beta 1
Apple Mail compose field becomes uneditable after using Apple Intelligence rewriting tools on macOS 27 Developer Beta 1 I am seeing a reproducible issue in Apple Mail on macOS 27 Developer Beta 1 where the compose body becomes locked/uneditable after using Apple Intelligence writing tools. Environment Mac: macOS: macOS 27.0 Developer Beta 1 Build: 26A5353q Device: MacBook Pro with Apple Silicon shouldSwitchToCampoMode: false (isEnhancedSiriAvailable=false) App: Apple Mail Compose window Apple Intelligence Writing Tools Summary When composing an email in Apple Mail, if I write some text and then use Apple Intelligence to rewrite it — for example using Friendly, Professional, or Concise — Mail replaces the original text with the rewritten version. After the rewritten text is inserted, the message body becomes unresponsive. I cannot continue typing, edit the rewritten text, delete text, select text normally, or add new content inside the email body. The Apple Intelligence button also becomes unresponsive after this happens. The only actions that still seem to work are sending the email, discarding the draft, or using some toolbar actions such as emoji insertion. Steps to Reproduce Open Apple Mail on macOS 27 Developer Beta 1. Create a new email. Type any text into the email body. Use Apple Intelligence Writing Tools. Choose a rewrite option such as: Friendly Professional Concise Let Apple Intelligence replace/update the email body text. Try to click back into the message body and continue typing or editing. Expected Result After Apple Intelligence rewrites the email body, the compose field should remain fully editable. The user should be able to: Continue typing after the rewritten text Edit or delete the rewritten text Select and modify text Use Apple Intelligence again on the updated content Continue composing the email normally Actual Result After Apple Intelligence inserts the rewritten text: The email body becomes uneditable. Typing no longer works inside the message body. Clicking inside the body does not restore normal editing. Existing text cannot be edited or changed. Apple Intelligence controls become unresponsive. The compose window itself does not fully crash, but the body editor appears stuck. Send and discard still appear to work. Reproducibility This appears to be reproducible after using Apple Intelligence rewriting tools inside Apple Mail’s compose window. It was working before, so this appears to be a regression in macOS 27 Developer Beta 1.
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Jun ’26
is it possible to let siri monitor phone calls, and notify me when a certain trigger happens?
the specific context is that i would like to build an agent that monitors my phone call (with a customer support for example), and simiply identify whether or not im still put on hold, and notify me when im not. currently after reading the doc, i dont think its possible yet, but im so annoyed by the customer support calls that im willing to go the distance and see if theres any way.
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Jun ’25