Overview

On macOS Tahoe, our application using the Endpoint Security Framework (ESF) observes that during file copies through finder application, DesktopServicesHelper unlinks the source file if the ESF authorization response is delayed for ~5 seconds, even though the authorization event deadline remains 15 seconds, indicating that the process does not wait for the full ESF deadline before deleting the file. Before Tahoe, we didnt see this behaviour.

应用ID(id6754838125), A week has passed since I added in-app purchases to the already listed application, but it's still under review and I haven't received any result. I sent an email to inquire and asked me to keep waiting We used Contacts Us There is no result. 2. The call has been made for expedited review. It was submitted on December 11th and is still under review Previously, the result of the app review was available within 48 hours Now, I don't know what solutions can be made to this problem. The company is in a hurry and needs to use the App to release a new movie

Currently I am trying to find a work around to fetch data from server and update user defaults when app is forced quit. Can anyone suggest for this ?

直播过程中需同时操作 Vision Pro（拍摄）、Mac（推流）、中控台（画面切换），无统一控制入口，调节 3D 模型、校准画质等操作需在多设备间切换，易出错且效率低。 期望 针对直播场景，提供桌面端专属控制软件，支持一站式管理 Vision Pro 的拍摄参数、3D 模型切换、虚实融合效果等，实现多设备协同操作的可视化、便捷化。

画面亮度存在无规律动态波动（时亮时暗），且无手动控制入口，导致商品颜色还原失真、主播面部曝光异常（过曝 / 欠曝），严重影响直播展示效果。 期望 "· 优化直播模式的自动曝光算法，提升复杂光线环境下的亮度稳定性； · 增加 “直播模式” 专属亮度锁定功能，支持手动设定亮度参数并锁定，满足直播场景下的画质可控需求。 "

切换后两者的亮度、色彩饱和度、对比度等画质参数差距较大，导致画面视觉体验割裂，破坏直播连贯性，影响用户观看沉浸感。 期望 "· 对标常规直播单反相机的画质基准，优化 Vision Pro 的画面亮度、色彩还原能力； · 提供设备端或配套软件的画质自定义调节功能（亮度、对比度、色温等），支持直播前手动校准，确保与单反相机画面风格一致。"

I changed my device when purchasing the Apple Developer Program and am unable to make further purchases. How can I lodge a complaint?

传输后的直播流分辨率显著下降，画面细节丢失、清晰度不足，导致 3D 家具商品的纹理、尺寸等关键信息无法精准展示，影响用户对商品的判断。 期望 优化流传输过程中的分辨率压缩策略，减少传输过程中的画质损耗，提升 Mac 端接收的直播流清晰度，匹配 3D 商品展示的高精度需求。

佩戴者头部自然晃动时，设备拍摄的画面会出现明显抖动，导致观看直播的用户产生眩晕感，严重影响直播沉浸体验和购物决策效率。 希望 优化设备内置防抖算法，降低头部常规晃动对画面稳定性的影响，提升直播画面的流畅度。

Hi everyone, I believe I’ve encountered a potential bug or a hardware alignment limitation in the Core ML Framework / ANE Runtime specifically affecting the new Stateful API (introduced in iOS 18/macOS 15). The Issue: A Stateful mlprogram fails to run on the Apple Neural Engine (ANE) if the state tensor dimensions (specifically the width) are not a multiple of 32. The model works perfectly on CPU and GPU, but fails on ANE both during runtime and when generating a Performance Report in Xcode. Error Message in Xcode UI: "There was an error creating the performance report Unable to compute the prediction using ML Program. It can be an invalid input data or broken/unsupported model." Observations: Case A (Fails): State shape = (1, 3, 480, 270). Prediction fails on ANE. Case B (Success): State shape = (1, 3, 480, 256). Prediction succeeds on ANE. This suggests an internal memory alignment or tiling issue within the ANE driver when handling Stateful buffers that don't meet the 32-pixel/element alignment. Reproduction Code (PyTorch + coremltools): import torch.nn as nn import coremltools as ct import numpy as np class RNN_Stateful(nn.Module): def __init__(self, hidden_shape): super(RNN_Stateful, self).__init__() # Simple conv to update state self.conv1 = nn.Conv2d(3 + hidden_shape[1], hidden_shape[1], kernel_size=3, padding=1) self.conv2 = nn.Conv2d(hidden_shape[1], 3, kernel_size=3, padding=1) self.register_buffer("hidden_state", torch.ones(hidden_shape, dtype=torch.float16)) def forward(self, imgs): self.hidden_state = self.conv1(torch.cat((imgs, self.hidden_state), dim=1)) return self.conv2(self.hidden_state) # h=480, w=255 causes ANE failure. w=256 works. b, ch, h, w = 1, 3, 480, 255 model = RNN_Stateful((b, ch, h, w)).eval() traced_model = torch.jit.trace(model, torch.randn(b, 3, h, w)) mlmodel = ct.convert( traced_model, inputs=[ct.TensorType(name="input_image", shape=(b, 3, h, w), dtype=np.float16)], outputs=[ct.TensorType(name="output", dtype=np.float16)], states=[ct.StateType(wrapped_type=ct.TensorType(shape=(b, ch, h, w), dtype=np.float16), name="hidden_state")], minimum_deployment_target=ct.target.iOS18, convert_to="mlprogram" ) mlmodel.save("rnn_stateful.mlpackage") Steps to see the error: Open the generated .mlpackage in Xcode 16.0+. Go to the Performance tab and run a test on a device with ANE (e.g., iPhone 15/16 or M-series Mac). The report will fail to generate with the error mentioned above. Environment: OS: macOS 15.2 Xcode: 16.3 Hardware: M4 Has anyone else encountered this 32-pixel alignment requirement for StateType tensors on ANE? Is this a known hardware constraint or a bug in the Core ML runtime? Any insights or workarounds (other than manual padding) would be appreciated.

Hello, I am writing this post because the Apple Developer Program enrollment process is clearly malfunctioning, and I have reached a point where this situation is unacceptable. First payment I initially purchased the Apple Developer Program on December 3rd, 2025 at 16:03 (Turkey time). The payment was fully completed, confirmed by my bank, and I received the official Apple Store receipt. • Order ID: W1557478965 • Amount: 1029 TRY • Status: Completed / Posted Despite this, my account continued to show: • “Purchase your membership” • Enrollment status: Pending • No access to App Store Connect After several days with no response from Apple Support and no activation, I assumed something had gone wrong on Apple’s side. Second payment Because I was completely blocked and received no reply from support or the forums, I made a second payment to rule out any payment failure. • Order ID: W1694587309 • Amount: 1029 TRY • Status: Completed / Posted Current situation At this point: • Two separate payments • Two unique Apple Store order IDs • Zero activation • Zero response from Apple Support • Enrollment still Pending • App Store Connect still inaccessible Support case details: • Apple Support Case ID: 102769533427 • Multiple follow-ups sent • No reply • No action taken This is no longer a delay — this is a system-level failure. I have paid twice for a single Developer Program membership and received nothing in return: no activation, no explanation, and no support. I am formally requesting manual intervention by Apple staff to: 1. Immediately activate my Apple Developer Program membership 2. Investigate and resolve the duplicate payment (refund or clarification) 3. Explain why a paid enrollment can remain blocked with no support response If this forum is monitored by Apple employees, this issue requires urgent escalation. This situation should not happen in a paid developer program. Thank you.

Hello, I am developing a macOS app using AudioToolbox's MusicSequence and MusicPlayer APIs to play Standard MIDI Files. The MIDI playback works correctly and I can hear sound from the external MIDI device. However, the user callback registered via MusicSequenceSetUserCallback is never invoked during playback. Details: Callback registration returns no error. MusicPlayer is properly started and prerolled. The callback is defined as a global function with the correct @convention(c) signature. I have tried commenting out MusicTrackSetDestMIDIEndpoint to avoid known callback suppression issues. The clientData pointer is passed and correctly unwrapped in the callback. Minimal reproducible example shows the same behavior. Environment: macOS version: [Tahoe 26.2] Xcode version: [26.2] Is it expected that MusicSequenceSetUserCallback callbacks may not be called in some cases? Are there additional steps or configurations required to ensure the callback is triggered during MIDI playback? Thank you for any advice or pointers. Execute playTest() in the viewDidLoad() method of the ViewController. extension ViewController { private func playTest() { NewMusicSequence(&sequence) if let midiFileURL = Bundle.main.url(forResource: "etude", withExtension: "mid") { MusicSequenceFileLoad(sequence!, midiFileURL as CFURL, .midiType,MusicSequenceLoadFlags()) NewMusicPlayer(&player) MusicPlayerSetSequence(player!, sequence!) MusicPlayerPreroll(player!) let status = MusicSequenceSetUserCallback(sequence!, musicSequenceUserCallback, Unmanaged.passUnretained(self).toOpaque()) if status == noErr { print("Callback registered successfully") } else { print("Callback registration failed: \(status)") } MusicPlayerStart(player!) } else { print("MIDI File Not Found") } } } The callback function was generated by Xcode and defined outside the ViewController. func musicSequenceUserCallback( clientData: UnsafeMutableRawPointer?, sequence: MusicSequence, track: MusicTrack, eventTime: MusicTimeStamp, eventData: UnsafePointer<MusicEventUserData>, startSliceBeat: MusicTimeStamp, endSliceBeat: MusicTimeStamp ) { print("User callback fired at eventTime: \(eventTime)") if let clientData = clientData { let controller = Unmanaged<ViewController>.fromOpaque(clientData).takeUnretainedValue() // Example usage to prove round-trip works (avoid strong side effects in callback) _ = controller.view // touch to silence unused warning if needed print("Callback has access to ViewController: \(controller)") } else { print("clientData was nil") } }

Is it possible to use the Matter.xcframework without the MatterSupport extension for onboarding a Matter device to our own ecosystem(own OTBR and matter controller) for an official App Store release? Currently, we can achieve this in developer mode by adding the Bluetooth Central Matter Client Developer mode profile (as outlined here https://github.com/project-chip/connectedhomeip/blob/master/docs/guides/darwin.md). For an official release, what entitlements or capabilities do we need to request approval from Apple to replace the Bluetooth Central Matter Client Developer mode profile? Thank you for your assistance.

I’m seeing what looks like a change or possible bug in Xcode when creating a new Swift Playground. When I create a Swift Playground using Xcode (File → New → Playground), the project is generated without an Assets folder. I’ve reproduced this multiple times with fresh Playgrounds to rule out user error and the folder is consistently missing. Previously, new Playgrounds included an Assets catalog by default, which makes this behavior surprising.

Hello, I sent this in as a feedback several weeks ago about watchOS 26.2 beta 2 but since the issue is still active now that watchOS 26.2 is in production I'm reposting here for the community. I would also like to submit a DTS about this issue but honestly don't know the best way to go about it and would appreciate advice about that. There seems to be an issue with VPP distribution for our app on watchOS 26.2. When our watchOS companion app is launched after being installed through VPP to a supervised iPhone, it encounters a dyld error before main() or any application code is even called. The same app launches correctly in every other circumstance we could imagine and test: – Installed through VPP on supervised devices running watchOS 26.1. – Installed from the app store (using an apple id) on a supervised iPhone and paired watch running iOS 26.2 / watchOS 26.2. – Installed through Testflight on a supervised iPhone and paired watch running iOS 26.2 / watchOS 26.2. – Installed through the app store on unsupervised devices running watchOS 26.1 and 26.2. This strongly appears to be a VPP signing issue because we even did the following experiment: Install iPhone and Watch apps through the App Store on a supervised device pair running public iOS 26.2 beta 2 / watchOS 26.2 beta 2. Verify that both apps launch successfully. Use an MDM command to install from VPP over the existing installations Verify that the watch app fails to launch (the iOS app is unaffected) My feedback included some crash logs which I won't be reposting publicly here. Any feedback or ideas appreciated.

Hello everyone, I am facing a persistent and unacceptable issue with my individual enrollment in the Apple Developer Program that has been ongoing for nearly three months. Despite multiple attempts to communicate with Developer Support, I am continuously receiving the exact same generic statement: "For one or more reasons, your enrollment... couldn't be completed," with no clear explanation or actionable steps provided. This lack of genuine assistance and transparency is deeply frustrating and prevents me from publishing my application. Key Details of the Situation: Apple ID Region: Türkiye Current Residence and Address: United Kingdom (UK) Identity Verification: I used my Turkish passport along with my UK residential address. Enrollment Status/Error: After submission, I received the "Contact us to continue your enrollment" prompt. Case Number: 102720548696 Support Experience: The case has been handled by multiple support staff (Migeylis, Alex), all of whom have provided identical, non-specific template responses, failing to address the core problem. It appears the conflict between my Apple ID region (Türkiye) and my UK physical address/Turkish passport documentation is the likely cause. I am seeking clarification on whether this is a known issue for developers with mixed international details and what concrete steps are required to resolve this ambiguity. Has anyone in the community experienced a similar issue? If so, what was the path to resolution? I urge Apple officials to escalate this matter immediately and provide a specific, helpful, and transparent resolution. Every developer deserves equal and fair treatment in the enrollment process. Thank you in advance for any insights or assistance. Best regards, Onur

Hi, I am a new IOS developer, trying to learn to integrate the Apple Foundation Model. my set up is: Mac M1 Pro MacOS 26 Beta Version 26.0 beta 3 Apple Intelligence &amp; Siri --&gt; On here is the code, func generate() { Task { isGenerating = true output = "⏳ Thinking..." do { let session = LanguageModelSession( instructions: """ Extract time from a message. Example Q: Golfing at 6PM A: 6PM """) let response = try await session.respond(to: "Go to gym at 7PM") output = response.content } catch { output = "❌ Error:, \(error)" print(output) } isGenerating = false } and I get these errors guardrailViolation(FoundationModels.LanguageModelSession.GenerationError.Context(debugDescription: "Prompt may contain sensitive or unsafe content", underlyingErrors: [Asset com.apple.gm.safety_embedding_deny.all not found in Model Catalog])) Can you help me get through this?

I've tried out a ParticleEmitter in Reality Composer Pro to produce a burst of particles that don't move (i.e. speed close to zero). When viewing from different angles, it clearly looks like the particles are rendered exactly in the wrong order, that is, front first and back last. In other words, back particles obscure front particles. I would prefer it the correct way around. I've only tried this interactively in Reality Composer Pro, not programmatically, but I assume I would get the same result. My Reality Composer Pro "File" (zipped): https://gert-rieger-edv.de/Posts/Post-1/RealityParticles.zip Screenshot: Click on the ParticleEmitter object, then on its Play button, then select the Particles tab and click on "Burst" a few times to get a few random particles. Mac Studio 2025 Apple M4 Max macOS 15.7.2 (24G325) Reality Composer Pro Version 2.0 (494.60.2)

With the release of the newest version of tahoe and MLX supporting RDMA. Is there a documentation link to how to utilizes the libdrma dylib as well as what functions are available? I am currently assuming it mostly follows the standard linux infiniband library but I would like the apple specific details.

When trying to use the MIDI Maestro app by Singular Sound, BLE peripherals experience unwanted connection-parameter renegotiation and disconnections on iOS 26, beta iOS 26.2 does not fix this issue. iOS 26 BLE communications are being sent too fast to be read correctly by the hardware device, and iOS 26.2 refuses communication altogether.