👓 What is Marketing Myopia?

🌟 Welcome to the Latest Edition of Thunderbolt AI! 🌟

Hey there, AI enthusiasts! We're back with another electrifying edition of Thunderbolt AI. Get ready to dive into some exciting reads that will keep you at the edge of your seat! ⚡️

🔎 What's in Store for You Today:

1. 👓 Marketing Myopia Explained

2. 🌱🤖 Ternary Values in AI

3. 📊 Learning Dashboards from Research

Don’t forget! If you are here thanks to a friend, subscribe here to ensure you never miss out on the growth insights!

Stay tuned as we delve into these intriguing articles that are sure to spark your curiosity and keep you informed.

Let's get started!

MARKETING

🚨 What is Marketing Myopia?

Marketing Myopia is a shortsighted and narrow-minded approach to marketing management that focuses only on specific attributes of products or services, neglecting the broader needs and desires of customers. This myopic vision often leads to the downfall of even the biggest companies.

Why Companies Like Kodak, Nokia & Blackberry Died Out?

Marketing Myopia Results in Ignoring:

• Product Quality

• Customer Needs & Ease

• Customer Demands

Why Do Companies Fall Into This Trap?

1. Overconfidence in Market Position:

   • Believing no competitor can substitute them.

2. Assumption of Perpetual Monopoly:

   • Thinking their market dominance will last forever.

3. Lack of Market Research:

   • Failing to understand evolving customer needs.

4. Resistance to Technology:

   • Not adapting to the latest tech advancements.

5. Neglecting Consumer Behavior Changes:

   • Ignoring shifting consumer behaviors and habits.

Examples of Marketing Myopia:

1. Blackberry 📱

• 2006: Held 50% of the US and 20% of the global handset market share.

• Failure: Did not adapt to evolving customer needs. Smartphones took over, leading to a decline to less than 1% market share by 2020.

2. Kodak 📷

• Early 2000s: Dominated the camera market.

• Failure: Ignored the shift to digital cameras initiated by Sony. Persisted with outdated technology, leading to a significant market share decline. Later, failed to transition to DSLRs around 2010.

Key Takeaways:

• Stay Adaptive: Continuously adapt to technological advancements.

• Understand Customer Needs: Regularly conduct market research to stay aligned with consumer demands.

• Avoid Complacency: Never assume market dominance will last forever.

Understanding and avoiding marketing myopia is crucial for sustained growth and success in any industry.

D-AI-LY DIGEST

🔋 Ternary Values: The Key to Energy-Efficient AI Training! 🤖
Source: Superhuman.ai

Ever wondered about the energy cost of your friendly neighborhood AI? Well, it’s pretty high! By 2027, the AI industry is expected to use as much energy annually as the entire Netherlands. 😲 Users aren't off the hook either: a typical ChatGPT session can guzzle up to 17 ounces of water, used to cool those hot data centers. 💧💻

Current Solutions: Hail Marys or Practical Fixes?

1. 🚀 The Big Tech Efforts: Microsoft is exploring atomic fusion technology (because why not, right?), and Alphabet is digging deep — literally — into geothermal energy. Sounds like sci-fi, right? But environmentalists argue these solutions are unlikely to make a significant impact in the near term. 🌋🔬
   

2. 🌱 The Sustainable Approach: Enter the researchers at the University of California, Santa Cruz. They’ve come up with a promising method that could change the game in AI training.

The Magic of Ternary Values:

1. 🧠 How AI Models Work Today: Most AI models use a process called matrix multiplication (MatMul), which involves multiplying numbers across several network layers. It’s energy-intensive, especially since these numbers often include tricky decimals. 🔢💥
   

2. 🔄 The New Method: The Santa Cruz team found a way to convert these numbers into ternary values (0, 1, and -1). This makes calculations simpler and less energy-consuming, as the computer only deals with three options at a time and can add them instead of multiplying. 📊➕➖

Energy Savings: A Bright Future

💡 The Impact: Using this method, they ran a Llama-2-like model with a billion parameters using just 13 watts of power — about the same as an LED light bulb! And guess what? There was no significant drop in performance. 🌟💡

🚀 Future Prospects: While this approach isn't yet compatible with trillion-parameter models that companies like OpenAI are developing, the researchers are optimistic. They believe they can scale up their method and adapt it to existing AI hardware. 🔧📈

Conclusion

This new method from UC Santa Cruz could be a game-changer in making AI training more energy-efficient. With the potential to save massive amounts of power, it might just be the sustainable solution the AI industry needs. 🌍💪

LEARNING AI

How to Build Learning Dashboards from Research Papers

Step 1: Go to Claude’s website and log in.

Step 2: Select Claude 3.5 Sonnet as your model.

Step 3: Upload your research paper.

Step 4: Use the prompt: "Create an interactive and detailed dashboard to present the learnings from this research paper. Make it look good and professional."

Step 5: Refine your prompt if needed and wait for a few seconds.

Step 6: Review the generated interactive and detailed dashboard.

Conclusion

By following these steps, you can quickly build professional and interactive learning dashboards from research papers using Claude 3.5 Sonnet. This process enhances the presentation of research findings, making them more accessible and visually appealing. 📊📚

AI TOOLS

🔨Make your day easier. The ultimate AI tools you cannot miss.

✅ Audyo AI - Designed to create and edit human-like voices by typing in text, Audyo AI enhances audio content production with ease.

✅ Papercut - Localize your videos with human-like voiceovers using Papercut, an AI-powered dubbing and video translation software.

✅ Literally Anything - Build various digital products directly in the browser using simple text input with Literally Anything, an expansive AI creation tool.

LIGHTNING NEWS

Deepfakes: The Billion-Dollar Bogeyman

As deepfakes gear up to cost a whopping $40 billion by 2027, it’s clear that AI’s dark side is here to stay. Enterprises, it's time to get ahead of the game – or risk getting schooled by your own digital doppelgängers. Don’t let the AI bogeyman catch you napping! Read here.

Google’s Environmental Report Sidesteps AI’s Energy Consumption"

Google’s latest environmental report paints a rosy picture of tech-driven sustainability efforts but conveniently glosses over the hefty energy costs of its AI operations. As AI continues to grow, the transparency around its environmental impact is more crucial than ever. Will Google step up and reveal the true cost in their next report? Read more.

The Best AI Video Since Sora

Runway's Gen-3 Alpha, now available to all users, is making waves with its viral outputs and impressive upgrades in character and scene consistency, camera techniques, and transitions. Despite the tiny generation limits for the $12/month plan, it's the biggest leap AI video has taken since Sora. Join our free workshop on Friday to create your own AI commercial with Gen-3! Read here.

Also as we prepare more “Lightning-Marketing Case Study” content for tomorrow, we’d love to hear your thoughts on today’s edition! Feel free to share this with someone who would appreciate it.