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NVIDIA Becoming the Biggest Company in the World?

The NVIDIA Hyper Growth | Deepfake's $25 Million Fraud | Colossyan is the Video Tutor for Your Employees

Hi, AI Futurists!

The biggest beneficiaries of AI will be tech giants like Microsoft, Google, and NVIDIA, followed by everyone else on Earth.

This is because training AI demands massive computing power and data, requiring investments of hundreds of millions in data centers, AI researchers, and years of development.

For AI enthusiasts like us, not a day goes by without reading about OpenAI and a few other competitors.

Here is what OpenAI is up to today.

In the latest AI news, OpenAI's application to trademark "GPT" has been denied by the U.S. Patent and Trademark Office (USPTO). The refusal took place because "GPT" is a widely used term in the field of AI and natural language processing, and therefore, it could not be exclusively associated with OpenAI's technology.

Google Just Rebranded Its Bard Chatbot as “Gemini”

This rebranding is part of Google's efforts to position Gemini as a strong competitor (for OpenAI) in the AI chatbot space, signaling the intensifying competition between tech giants in the AI arena.

Fun fact: OpenAI was founded because of a conversation between Google co-founder Larry Page and Tesla's Elon Musk. Larry Page aimed to create a closed-source AI company targeting Artificial General Intelligence (AGI). Elon Musk found the idea of closed-source AGI too risky for humanity.

The next day, Elon Musk rallied his friends to form a team for an open-source AI venture. That's how OpenAI kicked off, with Elon Musk pitching in $50 million.

Let’s dive into today’s actionable AI topics.

  • NVIDIA is Now Worth $1.7 Trillion. The Prodigy of AI is Projected to Hyper Grow.

  • Deepfake’s $25 Million Fraud. Virus vs Anti-Virus Kind of War

  • Colossyan: The Master AI Company Video Platform for Tutoring. Next Level Company Training Software

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NVIDIA has risen to meteoric heights, boasting a staggering surge in market value of $500 billion over a mere six weeks.

This leap catapulted its total worth to a formidable $1.7 trillion, nearly rivaling tech titans like Amazon.

Why?

NVIDIA has a market share of about 80% when it comes to AI chips, GPUs.

How are GPUs (Graphics Processing Unit) different from CPUs (Central Processing Unit or traditional software chips)?

In short, GPUs are faster, more efficient and they can multi-task.

As of December 2022, we are indeed living in the AI era, with all major companies heavily investing in AI, especially in AI chips, where NVIDIA is at the forefront.

The Story Behind the Scenes

Jensen Huang, CEO of NVIDIA, co-founded the company by investing $200 in 1993.

Today, he owns 3.5% of NVIDIA. Let's do the math: $1,700,000,000,000 × 0.035 = $60 Billion, Jensen Huang's net worth.

Throughout its history, NVIDIA focused on the gaming industry, developing advanced graphics cards. This strategy paid off when the AI era arrived, allowing them to capitalize on their technology.

Similar to BionTech, which pivoted from cancer research to COVID-19 vaccines, unveiling the first mRNA vaccine in the world, NVIDIA transitioned from gaming graphics cards to AI technology, resulting in exponential growth.

What's Next for NVIDIA?

NVIDIA is now as valuable as Google and Amazon, with its stock rising 45% in the last 6 weeks, 215% in a year, and 1800% in the last 5 years. Despite competition from OpenAI and Meta in AI chip production, NVIDIA's singular focus on AI is expected to drive further stock value growth.

Analysts, like Goldman Sachs' Toshiya Hari, foresee lucrative future, projecting annualized growth rates of 72% until 2025.

It's conceivable that NVIDIA may surpass Microsoft and Apple's ~$3 trillion market cap this year, making it the world's largest company.

Investing in NVIDIA for the mid-term could be a wise decision.

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This past week, a $25 million deepfake scam occurred when a finance worker at a multinational firm was tricked into paying out the sum to fraudsters using deepfake technology to pose as the company's (CFO) and other participants in a video call.

The worker initially grew suspicious after receiving a message about a secret transaction but was convinced to proceed after the video call, believing that the other participants were real. The scammers used publicly available video and audio to create the deepfakes.

How do Deepfakes Work?

The process typically involves training a model on a large dataset of images or videos of the target person. This model then learns to map the facial features of the target person onto a source person, creating a realistic-looking fake.

The technology relies on artificial neural networks, which are computer systems that recognize patterns in data. Deepfakes can be generated using open-source software frameworks and require a significant amount of computing power and expertise to create convincingly realistic content.

How to Create a Deepfake Video

You can use Deepfacelab or Reface AI to create a deepfake video in a few hours.

We may consider this moment of AI akin to the internet's emergence in the 90s—a virus vs. antivirus war. Remember Norton or McAfee?

We may have much more deepfake news this year since it is the election year in over 40 countries including the US. There may be some anti-deepfake companies building their businesses for the major cyber defense league.

Colossyan Creator is an AI video generator specialized in employee training.

It offers a range of features to enhance the video creation experience, including a built-in screen recorder, support for over 70 languages, the ability to add multiple AI avatars to converse with one another, and more.

The platform is trusted by many companies and organizations that want to save time, money, and resources in video production.

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  • Built-in Screen Recorder. Capture on-screen activities seamlessly.

  • Multilingual Support. Create videos in over 70 languages.

  • Multi-Avatar Conversations. Engage audiences with multiple AI avatars.

  • Realistic AI Actors. Generate professional videos with real AI actors.

  • Time and Cost Savings. Save time, money, and resources in video production.

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