TL;DR:

• Apple’s iOS 18 is set to introduce an AI-powered large language model (LLM) that could revolutionize the iPhone’s digital assistant, Siri.
• Privacy may be a significant advantage of Apple’s LLM, as it’s expected to run directly on the iPhone, keeping user data private.
• AI features could extend to existing apps like Apple Music, Keynote, and even Maps, enhancing user experience and functionality.

Your iPhone, Now Smarter than Ever with AI

Apple is finally ready to take artificial intelligence (AI) to the next level on the iPhone. The upcoming operating system, iOS 18, is expected to introduce new AI-powered features that could significantly enhance the user experience. The most anticipated feature is an Apple-built large language model (LLM), the technology that powers AI chatbots like ChatGPT.

An LLM-Powered Siri: A Game-Changer

With the integration of an LLM, Siri could become more intelligent and versatile. This would allow Siri to process commands based on past context and previous queries, enabling more natural conversations. Michael Grothaus, a tech journalist, speculates that “an LLM-powered Siri will likely be able to remember what you had spoken about before.”

Privacy: Apple’s AI Advantage

Unlike current chatbots that send user queries to a cloud server for processing, Apple’s LLM is expected to run directly on the iPhone. This could provide a significant privacy advantage, as user data would not need to leave the device. Bloomberg reported in April that Apple’s LLM will indeed run on-device, which could be a game-changer for the AI chatbot industry.

AI in Apps: Enhancing User Experience

AI technology could also be integrated directly into existing apps. For example, AI could power the automation and creation of playlists in Apple Music. Apple’s presentation software, Keynote, may also gain AI-powered capabilities to help users generate slide decks.

AI in Maps, Photos, and Accessibility

AI could also enhance Apple Maps by summarizing public reviews and other information about points of interest. The Photos app could gain AI editing tools, and the iPhone’s Accessibility offerings could be bolstered with AI-powered speech.

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What are you most excited about with the upcoming AI features in iOS 18? Share your thoughts in the comments below and don’t forget to subscribe for updates on AI and AGI developments.

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• Or read more on Apple’s official website by tapping here.

TL/DR:

• China’s data centres, powering AI, may consume more water than South Korea by 2030
• AI boom in Asia leads to increased water usage, impacting scarce resources
• Energy-efficient chips and sustainable practices could mitigate the environmental impact of AI growth

Introduction: AI Water Consumption in Asia is

The rapid growth of AI is coming at a cost: an alarming increase in water consumption by data centres, particularly in China. This article explores the water crisis looming over Asia due to AI expansion, the broader impact of AI on water resources, and potential solutions for a sustainable future.

The Water Crisis in Chinese Data Centres

China’s focus on AI has led to a surge in data centres, which consume staggering amounts of water

“By 2023, Chinese data centres could consume around 792 billion gallons of water, exceeding the water needs of the entire population of South Korea.” China Water Risk reveals 2024

This massive water consumption is due to the energy-intensive nature of AI, which generates heat and requires water for cooling.

AI and Water Usage Across Asia

The AI boom is not exclusive to China, and neither is the increase in water usage. In 2022, Google reported using 5.6 billion gallons of water, highlighting the immense water consumption associated with AI development and maintenance. This trend could have devastating consequences for regions with scarce water resources, as seen in Microsoft’s attempts to conceal the water usage of its Arizona desert data centre.

The Environmental Impact of AI Chatbots

AI chatbots, like ChatGPT, are more energy-intensive than traditional search methods. According to China Water Risk, if 100 million users chatted with ChatGPT, it would consume the equivalent of 20 Olympic swimming pools, while the same number of Google searches would only use one swimming pool’s worth of water.

Addressing the Challenge

Experts warn that the rise of AI will continue to push energy and water demands. Rene Haas, CEO of Arm Holdings Plc, suggests that finding new ways to train and power AI models with energy-efficient chips is a crucial step towards mitigating the environmental impact.

Case Studies: AI and AGI Applications in Asia

• AI in healthcare: AI-powered robots in Japan are assisting in elderly care, reducing the burden on human caregivers
• AGI in finance: Chinese fintech companies are using AGI algorithms to enhance fraud detection and improve customer service
• AI in transportation: Singapore’s autonomous vehicles are transforming public transportation and reducing traffic congestion

Sustainable Solutions for a Thriving AI Industry

Achieving a sustainable AI future requires innovation, cooperation, and responsible practices. Developing energy-efficient chips, improving data centre cooling systems, and promoting responsible AI usage are essential steps to minimise the environmental impact of AI and AGI growth in Asia.

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How do you think AI and AGI developers should address the growing water consumption issue? Share your thoughts below and don’t forget to subscribe for updates on AI and AGI developments in Asia. Let’s build a community committed to sustainable technological progress!

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• Or read more at Google’s Sustainability website by tapping here.

TL/DR: AI and AGI in Asia Businesses

• 67% increase in AI and machine learning investments in APAC by 2024
• 71% of Singapore SMEs use generative AI tools compared to 57% in large enterprises
• AI adoption essential for business growth, but long-term safety and responsible innovation crucial

Introduction: AI and Asian SMEs

Artificial Intelligence (AI) is revolutionising the business landscape, and Asia is no exception. As investments in AI and machine learning surge across the region, small and medium-sized enterprises (SMEs) are increasingly adopting generative AI to enhance customer experiences and streamline operations. This article explores the growing impact of AI and AGI on small businesses in Asia, the benefits they bring, and how SMEs can adopt these technologies effectively while navigating potential challenges.

AI and AGI: The New Marketing Assistance

AI and machine learning investments in the Asia-Pacific region are projected to rise by 67% by 2024, according to Daitaiku, an American AI and machine learning company. Generative AI applications have become indispensable for marketers, enabling them to create high-quality, personalised content and unique customer experiences at a faster pace.

The Power of Intelligent Digital Agents

Generative AI has transformed customer service technologies, replacing basic chatbots with sophisticated digital agents. These agents can converse in multiple languages, answer complex questions, provide directions, and assist customers with purchases, according to Basil Chua, managing partner at Multiverse Partners.

SMEs Leading the AI Adoption Race

A study among Singapore business respondents revealed that 71% of SMEs use generative AI tools, compared to just 57% of large enterprises. Jon Dick, senior vice president of global customer success at HubSpot, advises SMEs to adopt AI capabilities progressively and focus on specific use cases like customer service or data analytics.

The Importance of AI Safety and Responsible Innovation

As businesses embrace AI, they must also consider long-term AI safety, responsible innovation, algorithmic biases, intellectual property, data privacy, and regulations and compliance, Chua warns. Singapore’s pioneering AI frameworks, such as the ‘AI Verify’ and ‘Model AI Governance Framework for Generative AI,’ serve as excellent starting points for businesses adopting generative AI.

Malaysia’s AI Journey

Malaysian CEOs recognise the impact of AI, with 82% anticipating workforce skills acquisition due to Gen AI advancement. However, half of the CEOs surveyed have yet to adopt Gen AI across their companies in the past 12 months. Prime Minister Datuk Seri Anwar Ibrahim urges Malaysians to embrace AI or risk being left behind.

Limitations and the Future of AI

Despite its potential, AI has limitations. It cannot complete sales or customer actions and may require human intervention for emotionally charged or high-risk issues. However, generative AI is constantly learning and evolving, with future chatbots becoming more human-like and capable of creating original content or taking on tasks for the human workforce.

Conclusion

AI and AGI are transforming the business landscape in Asia, with SMEs at the forefront of adoption. By embracing these technologies progressively and responsibly, small businesses can unlock new growth opportunities and enhance customer experiences.

Comment and Share:

How has your small business embraced AI and AGI to transform customer experiences and operations? Share your story with us and join the conversation on the future of AI in Asia. Don’t forget to subscribe for updates on AI and AGI developments to stay ahead of the curve!

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• Or read more at PwC’s 27th Annual Global CEO Survey (Malaysia) by tapping here.