Apple's recent software updates, including iOS 18.3, have introduced a new feature called Apple Intelligence, which is automatically enabled for users with newer devices. However, not everyone welcomes these generative AI capabilities. Some users may be concerned about environmental impact, political views within the tech industry, or simply find that the technology isn't performing as expected. This article provides guidance on how to disable Apple Intelligence across various Apple devices, ensuring a straightforward process that respects user preferences.
Understanding the Concerns Behind Disabling Apple Intelligence
The decision to deactivate Apple Intelligence stems from diverse concerns among users. Many individuals are wary of the ecological footprint associated with AI technologies or disagree with certain viewpoints held by key figures in the tech sector. Additionally, there is skepticism regarding the current efficacy of Apple Intelligence, particularly evident through numerous online discussions highlighting its shortcomings. These factors contribute to the growing number of users opting out of this feature.
User apprehension towards Apple Intelligence extends beyond personal beliefs. The environmental impact of running advanced algorithms has sparked debates about sustainability. Moreover, some users feel that the performance of Apple Intelligence does not meet expectations, leading them to seek ways to turn off these features. The existence of community forums dedicated to discussing failures further underscores the need for clear instructions on disabling these functionalities. This guide aims to address such needs by providing comprehensive steps tailored for different Apple products.
Step-by-Step Instructions for Turning Off Apple Intelligence
Disabling Apple Intelligence involves navigating through settings menus on iPhones, iPads, and Macs. The procedure remains consistent across these platforms and is designed to be user-friendly. For instance, accessing Settings on iOS or System Settings on Mac leads directly to the Apple Intelligence section where toggles allow users to switch off the service. It’s also advisable to consider disabling Siri alongside Apple Intelligence for enhanced privacy and security measures.
To disable Apple Intelligence on an iPhone or iPad, start by opening the Settings application. Scroll down until you locate "Apple Intelligence & Siri," then tap on it. Here, you will see a toggle option; turning this off will stop the AI services. Confirm your choice when prompted by a dialog box that appears after switching the toggle. On a Mac, go to System Settings, find Apple Intelligence, and click the toggle to deactivate it. If it’s currently active, you’ll need to confirm your intention to disable it. Furthermore, considering the implications of having Siri active on the lock screen, it might be wise to turn off Siri as well for added peace of mind. Despite Apple's commitment to privacy with its Private Cloud Computer system, which ensures no personal data reaches their servers, many still prefer manual control over these features.
A new venture in the field of artificial intelligence (AI) for drug discovery has emerged, spearheaded by prominent figures from both technology and medical research sectors. Reid Hoffman, co-founder of LinkedIn, and Siddhartha Mukherjee, renowned cancer researcher and author, have joined forces to establish Manas AI. This innovative company aims to revolutionize cancer treatment through AI-driven molecule design and rigorous laboratory testing. Initially targeting breast cancer, prostate cancer, and lymphoma, Manas AI has secured an impressive $24.6 million in seed funding from notable investors including Hoffman himself, General Catalyst, and Greylock.
The collaboration between Hoffman and Mukherjee brings together a unique blend of expertise. Hoffman’s background in technology innovation, particularly his experience with LinkedIn's acquisition by Microsoft, adds significant weight to the venture. Meanwhile, Mukherjee’s deep understanding of oncology, as evidenced by his acclaimed book "The Emperor of All Maladies," provides invaluable medical insight. The company plans to leverage advanced computational models to design potential therapeutic molecules, which will then undergo thorough testing in wet labs. To support this ambitious project, Manas AI will utilize Microsoft Azure, tapping into its robust cloud computing capabilities and specialized knowledge in AI technologies.
While the initial funding amount may seem modest compared to other players in the AI-driven drug discovery space, such as Xaira and Treeline Biosciences, Manas AI's approach is distinctive. By combining cutting-edge AI algorithms with traditional laboratory methods, the company seeks to bridge the gap between theoretical predictions and practical applications. This hybrid strategy promises to accelerate the development of novel treatments while maintaining high standards of scientific rigor. Moreover, the partnership with Microsoft offers access to unparalleled computational resources, positioning Manas AI at the forefront of this rapidly evolving field.
Manas AI's entry into the competitive landscape of AI-powered drug discovery marks a significant milestone in the convergence of technology and medicine. By harnessing the power of AI and cloud computing, the company aims to tackle some of the most challenging forms of cancer. The collaborative effort between tech innovators and medical experts not only highlights the potential of interdisciplinary approaches but also underscores the growing importance of AI in advancing healthcare solutions. As Manas AI progresses with its mission, it holds the promise of bringing groundbreaking therapies closer to reality for patients in need.
The emergence of DeepSeek's new open-source AI reasoning model, R1, has sent shockwaves through the tech industry. This innovative model, which boasts high performance at a fraction of the cost, has not only led to a significant drop in Nvidia's stock but also propelled DeepSeek's consumer app to the top of various app stores. The development of R1 was achieved within two months using 2,000 Nvidia H800 GPUs, costing approximately $5.5 million. Despite this relatively modest investment, R1's performance rivals that of the most advanced models currently available, many of which require billions in funding for their data centers.
The impact of DeepSeek's breakthrough extends beyond financial markets. Pat Gelsinger, former Intel CEO and current chairman of Gloo, expressed enthusiastic support for the new model on social media. He highlighted three key lessons from computing history: lower costs lead to broader adoption, innovation thrives under constraints, and openness drives progress. Gelsinger believes that R1 will democratize AI by making it more affordable and accessible. His startup, Gloo, is already integrating R1 into its services, including a chatbot and other applications, demonstrating the model's immediate practical value. The potential for better AI in everyday devices—from health trackers to electric vehicles—seems closer than ever.
While some industry insiders have voiced skepticism about DeepSeek's claims, questioning the transparency and cost efficiency of the model, Gelsinger remains undeterred. He emphasizes that engineering creativity, rather than sheer computational power, is what propels true innovation. Moreover, he acknowledges the irony of a Chinese developer reminding the Western world of the importance of open ecosystems. In embracing this shift, Gelsinger sees an opportunity for the tech community to foster greater collaboration and inclusivity, ultimately leading to more widespread and beneficial AI applications.