We'd live to understand why it's not possible via the API. Video Previews are available. It seems to me that if an Apple Music Subscriber authenticates within your MusicKit app developers should be able to write music kit apps that also play video content. The suggested workaround is NOT a great experience, the preloading sequence brings the user to a random looking view state before loading the video. The video's audio is clipped and pops during this loading sequence. Developer wanting to re-skin the interface need full access to the applications player. MusicKit is awesome with this major oversight and omission as an exception. Calling the Apple Music API also fails to return the actual video URL Pleas explain a better work around.

Could you provide instructions on how to use the application player vs the system player with this work around. MPMusicPlayerController.systemMusicPlayer.openToPlay(queueDescriptor)

Vision Framework for GenerateForegroundMask does NOT work on VisionOS 2.0 (Beta 5) See example code: func analyse() async { guard let selectedImage = selectedImage else { return } let ciImage = CIImage(image: selectedImage) let handler = VNImageRequestHandler(ciImage: ciImage!, options: [:]) let request = VNGenerateForegroundInstanceMaskRequest { request, error in DispatchQueue.main.async { self.isProcessing = false if let error = error { print("Error: \(error.localizedDescription)") return } guard let results = request.results as? [VNPixelBufferObservation], let pixelBuffer = results.first?.pixelBuffer else { print("No results found") return } let ciImage = CIImage(cvPixelBuffer: pixelBuffer) let context = CIContext() if let cgImage = context.createCGImage(ciImage, from: ciImage.extent) { self.processedImage = UIImage(cgImage: cgImage) } } } // Configure the Vision request with preferred compute device do { // Query supported devices for each compute stage (handle potential errors) let supportedDevices = try request.supportedComputeStageDevices print("Supported Devices: \(supportedDevices)") // Check the available devices for the main compute stage if let mainStageDevices = supportedDevices[.main] { print("Main Stage Devices: \(mainStageDevices)") // Try to set the Neural Engine first, then GPU, and finally CPU (if applicable) var selectedDevice: MLComputeDevice? = nil if let neuralEngineDevice = mainStageDevices.first(where: { "\($0)".contains("NeuralEngine") }) { selectedDevice = neuralEngineDevice print("Selected Neural Engine: \(neuralEngineDevice)") } else if let gpuDevice = mainStageDevices.first(where: { "\($0)".contains("GPU") }) { selectedDevice = gpuDevice print("Selected GPU: \(gpuDevice)") } else if let cpuDevice = mainStageDevices.first(where: { "\($0)".contains("CPU") }) { selectedDevice = cpuDevice print("Selected CPU: \(cpuDevice)") } else { print("No preferred device found, using default.") } // Set the selected compute device, if any if let selectedDevice = selectedDevice { try request.setComputeDevice(selectedDevice, for: .main) } } } catch { print("Failed to configure Vision request compute device: \(error)") } #if targetEnvironment(simulator) request.usesCPUOnly = true #endif if #available(iOS 14.0, *) { request.usesCPUOnly = true } do { try handler.perform([request]) } catch { DispatchQueue.main.async { self.isProcessing = false print("Failed to perform request: \(error.localizedDescription)") } } }```

Any find a solution?

Seems pretty strange that this issue is still unresolved. Can someone from Apple comment on the rationale behind this messy business of orphan containers? Could this open up security breaches? Anyone in the community know if an un-used container could be a potental vulnerability?

CMDeviceMotion has a SensorLocation property...  public enum SensorLocation : Int {         case default = 0         case headphoneLeft = 1         case headphoneRight = 2     } Does this suggest we could use coremotionManager class and specify the sensor to get the raw data?

Same issue! Has anyone got this API to work? Team Apple: How about marking up non-implemented APIS not as Beta, but (Beta: Feature not currently implemented) Model: A2084 FW: 2D27

nm - Looking for private forum.