Hello, AI Enthusiasts!

On this edition, we dive into the exciting advancements within the AI landscape, specializing in Meta’s groundbreaking release of Llama 3.1.

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TODAY’S AI SECRET:

• Meta’s first open-source AI model on the GPT-4 level.

• The key behind Elon Musk’s recent “World’s Biggest AI Data Center.”

• Every day trending & featured AIs boost your profession and business.

• Claude AI can turn screenshots into working apps without coding.

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TODAY’S AI WORLD

• Malaysia’s Stock Market Rebounds – Global investors show renewed interest as Malaysia’s stock market advantages from recent AI policies under Prime Minister Anwar Ibrahim.

• Apple Music to Enhance Playlist Artwork Creation with AI – Apple Music is about to permit users to generate custom playlist artwork using Apple Intelligence within the upcoming iOS 18 release.

• Amazon to Launch Paid Alexa Subscription – A brand new AI-driven version of Alexa, potentially costing as much as $10/month, is about to debut amid efforts to handle significant losses in Amazon’s devices business.

• DeepL Expands Language Offerings with Traditional Chinese Launch – German AI startup DeepL introduces traditional Chinese to enhance its business presence in Asia, targeting key markets like Taiwan and Hong Kong.

NEW LAUNCH

Meta’s first open-source AI model on the GPT-4 level.

Meta’s recent AI model, Llama 3.1, highlights its advanced features, open-source design, and potential to encourage innovation throughout the AI community. This release is a very important milestone in making powerful AI tools available to a wider audience.

The Details:

• Llama 3.1 Unveiled: Meta has released Llama 3.1, its most capable open-source AI model to this point, featuring a 405 billion parameter model that rivals top closed-source models in performance and suppleness.

• Advanced Capabilities: Llama 3.1 supports an extended context length of 128K, is multilingual, and excels in tasks comparable to general knowledge, math, tool use, and translation. It introduces recent workflows, including synthetic data generation and model distillation.

• Ecosystem and Accessibility: Meta is constructing an in depth ecosystem around Llama 3.1, with over 25 partners offering services on day one. The model and its components can be found for download and use on various platforms, promoting widespread adoption and innovation.

Why It Matters:

The discharge of Llama 3.1 signifies a transformative moment within the AI landscape, because it democratizes access to cutting-edge AI technology. By making such a robust model open-source, Meta is empowering developers worldwide to innovate and create recent applications that leverage AI’s potential. This move is predicted to spur significant advancements in various fields, from synthetic data generation to multilingual conversational agents, fostering a more inclusive and collaborative AI community.

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AI IN DATA CENTERS

The key behind Elon Musk’s recent “World’s Biggest AI Data Center.”

The massive energy needs of AI data centers, especially Elon Musk’s Memphis Supercluster, rely heavily on generators to satisfy these demands.

The Details:

• AI’s Insatiable Power Appetite: Elon Musk’s Memphis Supercluster, equipped with 100,000 liquid-cooled H100 GPUs, demands a staggering 70 megawatts of power to operate fully. This highlights the immense energy consumption of advanced AI data centers.

• VoltaGrid’s Critical Role: To satisfy these power needs, Musk utilizes 14 massive mobile generators provided by VoltaGrid. Each generator can supply 2.5 MWe, collectively delivering 35 MW of power. This, combined with the 8 MW from the grid, enables the power to run 32,000 GPUs at limited capability.

• Analyst Insights: Dylan Patel, an AI and semiconductor analyst, initially doubted the feasibility of running the Supercluster as a consequence of power constraints. Nevertheless, he later uncovered Musk’s use of VoltaGrid mobile generators and mobile substations, allowing the power to operate despite the restrictions.

Why It Matters:

The intense power demands of AI data centers like Musk’s Memphis Supercluster highlight the growing strain on power grids and the numerous environmental impact. The reliance on large-scale generators, even those using relatively cleaner natural gas, underscores the urgent need for sustainable energy solutions.

As AI infrastructure continues to expand, balancing technological advancement with environmental sustainability becomes a critical challenge.

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AI IN CODING

Claude AI can turn screenshots into working apps without coding.

Claude AI offers a no-code solution that transforms screenshots into functional applications with none coding knowledge. This technology makes app development accessible to everyone, enabling rapid creation and deployment of apps.

The Details:

• No-Code App Creation: Claude AI enables users to create functional apps from screenshots. Uploading a screenshot generates code for the app, which will be customized through prompts.

• Case – Microsoft To-Do List App: Making a to-do list app just like Microsoft To-Do is easy. A screenshot of the app is uploaded, generating initial code that will be customized so as to add or modify features.

• Case – Interactive Dashboard: For interactive dashboards, a screenshot of the layout is uploaded, and Claude AI generates the initial code. Users can refine features like data visualization tools and interactive elements through prompts.

Why It Matters:

The impact of Claude AI on app development is important. By enabling no-code app creation from screenshots, Claude AI democratizes the app development process, allowing individuals and businesses without coding expertise to bring their ideas to life. This fosters innovation, saves time and resources, and reduces dependency on developers. The technology also ensures that app creation is accessible, empowering more people to contribute to technological advancements and digital solutions.

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