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Happy Friday Team,

Today, we explore how leading tech giants are obsessed with developing their chips, yet continue to rely on Nvidia for their needs. Elevate your social media game with our detailed guide on leveraging AI. Lastly, we delve into how robotics are set to revolutionize industries.

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• 📰 News and Trends.

• Are Chips the New Oil?

• 7 Steps to Build an Effective AI Marketing Campaign.

• Publications I am currently reading and recommending.

• Robotics Poised for Breakthrough with AI Integration.

• 🧰 AI Tools (Researcher Tools)

📰 AI News and Trends

• Is ChatGPT corrupting peer review? Telltale words hint at AI use (Nature)

• Microsoft Pitched Dall-E to Military (TheVerge)

• OpenAI Employees caught leaking sensitive information (TheInformation)

• Is robotics about to have its own ChatGPT moment? (MIT)

• JPMorgan's AI jobs now number 2,000 people (FinancialCareers)

• Soccer's biggest league is rolling out AI-powered tech to make crucial calls (BI)

🌐 Other Tech news

• Waymo launched a paid robotaxi service in Los Angeles on Wednesday (NBC)

• San Francisco’s Train System Still Uses Floppy Disks—and Will for Years (Wired)

• Feeling the Heat? Apple will approve used parts in iPhone repairs, in a long-awaited reversal (WP)

• Take Notes: TikTok teases “a new app for photo posts” (TF)

• Should YouTube be set free? (Bloomberg)

Are Chips the New Oil?

The race to develop AI chips is heating up as tech giants aim to reduce their reliance on Nvidia, which currently dominates the market with over 80% share in AI-specific chips.

Meta Platforms: Meta unveiled its in-house AI chip, "Artemis," aiming to enhance its AI applications and decrease dependency on Nvidia. Despite its development, Meta continues to purchase significant quantities of Nvidia's H100 chips, planning to acquire equivalents of 600,000 units this year (~$18,000,000,000). These chips retail for ~$30k and can be found on eBay for about ~$42k.

Google: Google introduced the "Axion" chip to diversify its computing needs across services like YouTube and big data analytics, reducing its reliance on outside vendors. This move complements Google's existing Tensor Processing Units (TPUs) and pushes it into competition with traditional chip manufacturers.

Nvidia's Dominance: Despite these advancements from Meta and Google, Nvidia maintains a strong market position, essential for various AI applications across industries.

Impact: The shift towards in-house chip development by major tech companies highlights a trend towards self-reliance and tailored technology solutions, potentially reshaping competitive dynamics in the tech industry.

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📰 Publications I am currently reading and recommending:

• Daily Income Trader - Trading Strategies and Tips.

• Rare Mints - Crypto, Stocks, Business, Tech, and Investing.

• 1-Minute Question - Based on Neuroscience Science Practices to rewire your brain for success.

• How Brands Win - Distills the strategies behind great brands. And gives you actionable insights for your business.

7 Steps to Build an Effective AI Marketing Campaign.

Creating a social media marketing campaign using AI involves several steps, from brainstorming ideas to scheduling posts. We have created a simplified 7 Step guide to setting up your campaign, along with AI tools that can help at each stage:

1. Idea Generation

• Purpose: For idea generation, first decide the goal of your campaign (brand awareness, lead generation, etc.).

• AI Tool: You use ChatGPT, Claude, or PI to brainstorm campaign themes and content ideas based on your goals and industry trends.

2. Creating Posts (Copywriting)

• Purpose: Develop compelling text for your posts that align with your campaign theme.

• AI Tool: Use Writesonic or Copy.ai, and yes ChatGPT, Claude, and other LLMs can help you with this if prompted correctly. Use these tools to generate engaging and creative text for different platforms like Twitter, Facebook, or Instagram. Also StoryLab.ai offers insights on integrating AI into your overall social media strategy, helping you create more engaging and effective content

3. Designing Visuals (Images and Videos)

• Purpose: Create eye-catching images or videos to grab attention.

• AI Tool: I use Canvas AI-powered Magic Write almost every day for images and Pictory or Lumen5 for video content creation. These tools offer AI-driven design suggestions and layouts.

4. Audio Incorporation (If needed)

• Purpose: Enhance video posts with AI-generated music or voiceovers.

• AI Tool: Use Murf.ai for creating professional-quality voiceovers and AIVA for AI-composed background music tailored to your content.

5. Optimal Posting Times

• Purpose: Determine when your audience is most active to maximize engagement.

• AI Tool: Use Buffer or Sprout Social, which feature AI analytics to suggest the best times to post based on your audience’s online activity.

6. Scheduling and Publishing

• Purpose: Automate the posting process to maintain consistency without manual effort each time.

• AI Tool: Use Hootsuite or Later to schedule and automatically publish your posts at the predetermined optimal times.

7. Analytics and Adjustment

• Purpose: Analyze the performance of your posts to refine future strategies.

• AI Tool: Utilize the analytics features in Sprout Social or Hootsuite to monitor engagement metrics and adapt your strategy based on performance data.

These steps and tools, if you are not using them already, can assist you to create and/or improve your social media marketing campaigns. If you have any comments, suggestions, and/or ideas to make a better guide, please share them with us.

Robotics Poised for Breakthrough with AI Integration

Robotics is nearing a transformative phase akin to the impact of ChatGPT in AI, driven by advancements in artificial intelligence that enhance robot functionality and adaptability in home environments. Stretch, a notable example developed by Charlie Kemp, is a robot equipped with AI capabilities, priced around $18,000, that helps users perform daily activities more independently. This robot symbolizes significant progress in making versatile home robots a reality, capable of assisting with tasks ranging from personal care to household chores.

Researchers are now applying AI techniques like reinforcement learning to enable robots to adapt to new environments and learn tasks dynamically. Such developments suggest that intelligent, functional robots could soon become an integral part of our daily living spaces, assisting with a variety of everyday tasks.

🧰 AI Tools

Researcher Tools

• Consensus AI: Powered search for research papers.

• Elicit: An AI research assistant.

• Explain Paper: An AI research assistant.

• Expontum: AI generated research knowledge gaps.

• GummySearch: AI-based customer research via Reddit. Discover problems to solve, sentiment on current solutions, and people who want to buy your product.