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Tuesdayโ€™s AI Report

โ€ข 1. ๐Ÿ’ฅ Musk picks Samsung for AI chips
โ€ข 2. ๐Ÿค– Use AI with 100% accuracy with PromptQL
โ€ข 3. ๐ŸŒ How AI sped up sales transaction processing
โ€ข 4. ๐Ÿ—๏ธ Build advanced AI chatbots with ChatNode
โ€ข 5. โš™๏ธ Trending AI tools
โ€ข 6. ๐Ÿ›‘ Trump's AI chip export decision slammed
โ€ข 7. ๐Ÿ“… Microsoft catches up with AI browser
โ€ข 8. ๐Ÿ“‘ Recommended resources

Read Time: 5 minutes

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Musk picks Samsung for AI chips

๐Ÿšจ Our Report

Elon Musk has signed a $16.5B multi-year deal with Samsung for them to make โ€œTeslaโ€™s next-generation AI6 chipsโ€ at their new AI chip manufacturing plant in Texas, which will run until 2033, and, according to Musk, is just the beginning.

๐Ÿ”“ Key Points

  • Samsung already makes Tesla AI4 chips, and Tesla is also working with chip-maker TSMC to manufacture AI5 chips, which have been designed for Teslaโ€™s self-driving assistant system (aiming to make Teslaโ€™s autonomous).

  • Samsung will be "dedicated to making Tesla's next-generation AI6 chip," which will be an all-in-one chip that can power everything from Tesla's self-driving systems to Optimus, Teslaโ€™s humanoid robot.

  • Samsung has also agreed to let Musk help to improve chip manufacturing efficiency, with Musk himself โ€œwalking the line personally, to accelerate the pace of progressโ€ as the plant is โ€œconveniently locatedโ€ near his house.

๐Ÿ” Relevance

For Samsung, this dealโ€”which will be the equivalent of nearly 8% of its revenue in 2024โ€”is huge: When it originally opened its Texas plant in 2023, it struggled to attract or retain any big-name customers, and according to reports, was forced to postpone taking deliveries of chipmaking equipment, and delayed the plant's operational start until 2026. For Musk, โ€œthe strategic importance of this [deal] is hard to overstate.โ€ AI chips are crucial to Muskโ€™s plan to transition Tesla from being a simple EV manufacturer into an AI and robotics company. Plus, Tesla gets access to US-produced AI chips, minimizing supply chain complexity.

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How AI sped up sales transaction processing

  • SAPโ€”a multinational software corporationโ€”processed sales transactions through POS systems, but many failed due to technical or human errors.

  • Its existing error detection system needed manual reviews and corrections by staff which was costly, time consuming, and error prone.

  • It developed an AI tool that used past transaction data to identify errors and algorithms that applied corrections without human intervention.

  • By automating transactional error detection and correction SAP streamlined the transaction processing workflow, leading to faster processing times.

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  • Two weeks ago, we reported that Trump had allowed NVIDIA to start selling its H20 AI chips to China again, after previously imposing harsh restrictions which reportedly would cost NVIDIA $16B in revenue.

  • But 20 national security experts have written a letter urging Trump to reverse this decision, calling it โ€œa strategic misstepโ€ that will have catastrophic effects on the USAโ€™s competitive AI edge.

  • The letter warns that the resale of H20 chips to China will: Accelerate Chinaโ€™s โ€œfrontier AI capabilities,โ€ be used for military purposes, worsen the AI chip supply/demand issue in the US, and weaken US chip export controls.

  • Microsoft has launched an experimental, opt-in featureโ€”Copilot Modeโ€”which turns its web browser Edge into an agentic/AI-powered one, so it understands what the user is researching and predicts what they want next.

  • Copilot Mode enables Edge users to use voice commands for web browsing, has an AI chatbot that answers questions about webpages, and will suggest other webpages based on a user's browsing history.

  • Plusโ€”like other rival AI browsers like Perplexity, Comet, and ChatGPT, Agentโ€”it can perform a variety of tasks such as booking appointments, drafting content, and creating shopping lists, on behalf of the user.

PODCASTS

Building the Teams Behind the Worlds Fastest AI | Jensen Huang

This podcast interviews NVIDIA founder and CEO Jensen Huang, who reveals the leadership philosophies and management practices that have made NVIDIA a powerhouse of AI.

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