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Nvidia surged 5% on Wednesday to become the second-most-valuable company in the world, surpassing Apple. The stock closed at $1,224.40 per share, giving it a market valuation of $3.014 trillion. The ongoing artificial intelligence boom has catapulted Nvidia's market valuation to the $3 trillion club as mega-cap tech companies like Meta Platforms, Alphabet, Amazon, and Microsoft rush to buy the company's supply-constrained Al-enabling GPU chips. Nvidia's valuation was just above $950 billion a year-ago and was about $400 billion in November 2022 when OpenAl first released ChatGPT to the public. [👉CLICK HERE TO GET FREE BTC 💲💸😎](https://s.binance.com/SKatoHfI)

Nvidia surged 5% on Wednesday to become the second-most-valuable company in the world, surpassing Apple.

The stock closed at $1,224.40 per share, giving it a market valuation of $3.014 trillion.

The ongoing artificial intelligence boom has catapulted Nvidia's market valuation to the $3 trillion club as mega-cap tech companies like Meta Platforms, Alphabet, Amazon, and Microsoft rush to buy the company's supply-constrained Al-enabling GPU chips.

Nvidia's valuation was just above $950 billion a year-ago and was about $400 billion in November 2022 when OpenAl first released ChatGPT to the public.

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The Meta Al chatbot is more willing to share what data it was trained on than Meta is. When Business Insider asked Meta Al a series of questions about what data it was trained on and how Meta obtained such data, the chatbot gave some interesting answers. Meta Al told Business Insider that it was trained on large datasets of transcriptions from YouTube videos. In addition, it said Meta has its own web scraper bot called "MSAE," an acronym for Meta Scraping and Extraction, which it said scrapes large amounts of data from the web to train Al models. Meta had not disclosed the existence of this scraper before. YouTube's terms of service prohibit the use of bots and scrapers to collect its data, and the use of such data without its permission, something OpenAl has recently come under scrutiny for purportedly doing. A Meta spokesman did not deny any of Meta Al's answers about its scraper or training data. BI provided Meta with the prompts it used. Instead, the spokesman suggested that Meta Al could be incorrect. "As with all generative Al systems, the models could return inaccurate or inappropriate outputs," the spokesman said. "We'll continue to improve these features as they evolve, and more people share their feedback." 🚨HURRY 10 BNB for first come first, only 15 left, CLICK HERE 💸💲
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