Key points:
- 'GoldDigger' Trojan is a bad thing that can steal facial data and money from iPhones and iPads.
- Apple has a new tool called Keyframer that lets people make moving pictures from still images using words.
- Apple Vision Pro is a headset that lets you see and do things in the virtual world, but some people don't like it and returned it. However, many apps work with it and there are over 1,000 of them now.
Summary:
This week, we learned about some news related to Apple. A bad thing called 'GoldDigger' Trojan can harm iPhones and iPads by stealing their face data and money. But Apple also made a cool tool called Keyframer that lets people make moving pictures from still ones using words. And the Apple Vision Pro headset, which lets you see and do things in the virtual world, has over 1,000 apps now, even though some people didn't like it and sent it back.
Read from source...
1. The article starts by mentioning that the past week was rife with developments surrounding Apple Inc., but it does not provide any context or explanation for what those developments are or why they matter to the readers. This is a weak introduction that fails to capture the attention and interest of the audience. A better approach would be to give a brief overview of the main topics covered in the article, such as the GoldDigger Trojan, Keyframer, and Vision Pro headset, and explain why they are relevant or important for Apple users or investors.
2. The article on the 'GoldDigger' Trojan is incomplete and misleading. It only mentions that the trojan aims to pilfer facial recognition data and exploit AI-generated deepfakes to defraud bank accounts, but it does not provide any details on how the trojan works, how it infects devices, or what measures users can take to protect themselves. Additionally, the article cites Group-IB as the source of the information, but it does not link to their original report or provide any evidence to support their claims. This creates a sense of uncertainty and doubt about the credibility of the information presented in the article.
3. The article on Apple's Keyframer tool is too brief and superficial. It only describes what the tool does, but it does not explain how it works, what are its limitations or challenges, or what are its potential applications or implications for the future of AI-generated media. Moreover, the article uses a vague term "large language models (LLMs)" without defining or explaining what they are or how they relate to Keyframer. This creates confusion and frustration among readers who want to learn more about the topic.
4. The article on Apple Vision Pro is too positive and one-sided. It only focuses on the number of apps available for the headset, but it does not mention any of the negative reviews, complaints, or criticisms that have been reported by users and experts who tried the device. It also does not address some of the major issues that the headset faces, such as its high price, poor battery life, limited field of view, or lack of compatibility with other devices or platforms. This creates a biased and unrealistic impression of the product and its performance.