|
 The macOS Tahoe 26.7 release candidate that Apple seeded today has references to several unreleased products, from home devices to iPhones, iPads, AirPods, and Macs.
|
|
 Apple today seeded the sixth betas of iOS 27 and iPadOS 27 to developers for testing purposes, with the update coming one week after Apple released the fifth betas.
|
RELATED ARTICLES | | |
|
Apple recently posted and removed details explaining how Mac users in China could set up their computers to work with Alibaba's Qwen AI. Now, Reuters has confirmed long-held speculation that Apple has revisited its Google Gemini AI playbook and built its own proprietary AI model for China with support from Alibaba.
Apple worked with a Chinese partner because US models such as ChatGPT or Claude are not being made available there, though Chinese AI development doesn't seem to be held back by that lack. Apple and Alibaba have not commented on the claims, the report said.
The approach echoes Apple's work with Google to build more advanced large language models (LLMs) for use with Apple Intelligence, and the news will likely be seen as broadly positive by Chinese iPhone users. They can now look forward to working with Apple Intelligence on their devices. The proximity of the reporting suggests they may be able to access Apple's AI quite soon, once new Apple operating systems ship next month.
The silver lining
It's also smart, as it means Apple has identified a way to introduce AI features in nations that are becoming protective of their tech stack.And while Apple's work with Google on Apple Intelligence was widely regarded as signifying how far behind the company had grown on AI, the work it is now doing with A
|
|
Now that Samsung has jumped into the crowded AI-powered glasses arena alongside Apple, Google, Meta, and others, CISOs and IT leaders are again having to think through whether it makes sense to establish enterprise restrictions on such devices, given the likely data leakage and privacy and compliance issues.
And even if those tech leaders decide that such policies might make sense, the logistical hurdles to universally enforcing them outside the office are all but insurmountable.
For example, it is up to individual wearers to choose their device's settings, making it difficult for IT policies around data acquisition and usage to be enforced. Worse, AI devices have a history of ignoring guardrails. That means that a setting that limits how data is used may not necessarily be obeyed.
One possible mitigating factor is that smart glasses typically have a light on the frame that activates whe
|
|
