Friday☕️

Friday☕️

Trending:

  • Google AI Updates
  • OpenAI Reddit Partnership

Markets:

  • Yesterday’s U.S. stock market:
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  • Yesterday’s commodity market:
TradingView @11:23 PM EST
  • Yesterday’s crypto market:
TradingView @11:23 PM EST

Google AI Updates:

  • Google has announced updates to its Gemini family of AI models, aimed at improving software development efficiency and accessibility. The updates include the introduction of Gemini 1.5 Flash, a model designed for speed and efficiency, and the development of Project Astra, which focuses on the future of AI assistants. The Gemini 1.5 Flash model is optimized for high-volume, high-frequency tasks, providing cost-effective service at scale. It is suited for tasks such as summarization, chat applications, and data extraction from long documents. This model is a lighter version of the Gemini 1.5 Pro, designed to process and respond quickly.
  • Meanwhile, the Gemini 1.5 Pro model has been enhanced to include an extended context window up to 2 million tokens and improved functions such as code generation, multi-turn conversation, and multimodal understanding. This model has been integrated into Google's software ecosystems, including Google AI Studio and Vertex AI, and is now part of various Google products. Google also introduced updates to its Gemma family of open models, unveiling Gemma 2 with a new architecture for improved performance and efficiency. The Gemma family now includes PaliGemma, a vision-language model, and new tools in the Responsible Generative AI Toolkit to help developers evaluate models.
  • Google discussed its progress with Project Astra, aimed at developing AI agents that can interact in real-time, understanding and responding to the world in ways comparable to human interaction. These agents are designed to be proactive, teachable, and personal, enhancing the user experience in everyday applications. These updates reflect Google’s ambitions to advancing AI technology, making it more accessible and efficient for developers and enterprises, and facilitating more sophisticated and integrated AI applications in everyday use.

OpenAI Reddit Partnership:

  • OpenAI has formed a partnership with Reddit to utilize the social media platform's extensive content for training its AI models. OpenAI's recent agreement with Reddit marks a strategic move to access a rich repository of user-generated content, which will be used to refine and enhance its AI chatbot capabilities. This partnership is part of OpenAI's broader strategy to collaborate with major media platforms, securing high-quality data essential for training sophisticated AI models.
  • This necessity for quality data stems from ongoing legal and ethical debates around the use of copyrighted material without explicit consent from content creators. Sam Altman's financial engagement with Reddit is notable, given his substantial investment in the platform, which is linked to his broader business interests rather than direct involvement with OpenAI's operational management or equity. Altman’s lack of an equity stake in OpenAI emphasizes his role as a facilitator of strategic partnerships rather than direct financial gain from the company's operations.
  • This partnership not only enhances OpenAI's data pool but also supports Reddit's monetization strategy, shifting slightly from its reliance on advertising revenue. By selling access to its data, Reddit can tap into the growing market for AI training datasets, which has already attracted other tech giants like Google. This approach was prominently featured in Reddit’s discussions with investors during its IPO campaign, highlighting its potential as a valuable resource for third-party AI developments.

Statistic:

  • Top assets by market cap:
  1. Gold: $16.032T
  2. 🇺🇸 Microsoft: $3.128T
  3. 🇺🇸 Apple: $2.911T
  4. 🇺🇸 NVIDIA: $2.321T
  5. 🇺🇸 Alphabet (Google): $2.159T
  6. 🇸🇦 Saudi Aramco: $1.919T
  7. 🇺🇸 Amazon: $1.910T
  8. Silver: $1.685T
  9. Bitcoin: $1.292T
  10. 🇺🇸 Meta Platforms: $1.200T
  11. 🇺🇸 Berkshire Hathaway: $893.40B
  12. 🇹🇼 TSMC: $789.57B
  13. 🇺🇸 Eli Lilly: $732.87B
  14. 🇺🇸 Broadcom: $654.41B
  15. 🇩🇰 Novo Nordisk: $593.52B
  16. 🇺🇸 JPMorgan Chase: $581.42B
  17. 🇺🇸 Visa: $572.58B
  18. 🇺🇸 Tesla: $557.59B
  19. 🇺🇸 Exxon Mobil: $528.75B
  20. 🇺🇸 Walmart: $515.90B
  21. 🇨🇳 Tencent: $486.70B
  22. SPDR S&P 500 ETF Trust: $485.22B
  23. 🇺🇸 UnitedHealth: $479.76B
  24. 🇺🇸 Mastercard: $426.57B
  25. 🇫🇷 LVMH: $426.51B
  26. 🇺🇸 Procter & Gamble: $396.17B
  27. 🇰🇷 Samsung: $379.40B
  28. 🇺🇸 Johnson & Johnson: $371.30B
  29. 🇳🇱 ASML: $363.13B
  30. Ethereum: $353.53B
  31. 🇺🇸 Costco: $351.72B
  32. 🇺🇸 Home Depot: $339.65B
  33. 🇺🇸 Oracle: $335.75B
  34. 🇺🇸 Merck: $331.49B
  35. 🇺🇸 Bank of America: $306.71B
  36. 🇺🇸 Chevron: $296.88B
  37. 🇨🇳 Kweichow Moutai: $296.19B
  38. 🇯🇵 Toyota: $292.54B
  39. 🇺🇸 AbbVie: $290.22B
  40. 🇺🇸 Salesforce: $276.13B
  41. 🇨🇭 Nestlé: $275.65B
  42. 🇺🇸 Coca-Cola: $272.78B
  43. Platinum: $269.65B
  44. 🇫🇷 L'Oréal: $263.41B
  45. 🇺🇸 Netflix: $263.07B
  46. 🇺🇸 AMD: $262.84B
  47. 🇫🇷 Hermès: $259.72B
  48. 🇨🇳 ICBC: $253.01B
  49. 🇺🇸 Pepsico: $251.73B
  50. 🇨🇳 PetroChina: $242.15B
  51. 🇬🇧 AstraZeneca: $238.86B
  52. 🇦🇪 International Holding Company: $238.59B

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