{"id":842233,"date":"2025-04-20T09:11:32","date_gmt":"2025-04-20T14:11:32","guid":{"rendered":"https:\/\/newsycanuse.com\/index.php\/2025\/04\/20\/this-week-in-ai-is-openai-creating-a-social-media-platform\/"},"modified":"2025-04-20T09:11:32","modified_gmt":"2025-04-20T14:11:32","slug":"this-week-in-ai-is-openai-creating-a-social-media-platform","status":"publish","type":"post","link":"https:\/\/newsycanuse.com\/index.php\/2025\/04\/20\/this-week-in-ai-is-openai-creating-a-social-media-platform\/","title":{"rendered":"This Week in AI: Is OpenAI creating a social media platform?"},"content":{"rendered":"
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  7. This Week in AI: Is OpenAI creating a social media platform?<\/li>\n<\/ol>\n<\/div>\n

    Is OpenAI Building a Social Media Platform?<\/strong><\/p>\n


    <\/strong>It\u2019s rumored that\u00a0    OpenAI<\/a>\u00a0is developing its own social media platform. According to a\u00a0report<\/a>\u00a0from\u00a0The Verge<\/em>, the prototype focuses on generative artificial intelligence (AI) image creation and includes a feed-like social component.<\/p>\n

    This sounds like the OpenAI team is trolling\u00a0Elon Musk<\/a>\u2014the owner of X (formerly Twitter)\u2014an individual who has been giving the company trouble\u00a0by way of his lawsuit against them.<\/a><\/p>\n

    Although the rumor has not been confirmed by the company, back in March,\u00a0Sam Altman<\/a>, the founder and CEO of OpenAI, tweeted about building a social platform in response to Meta\u2019s moves in the\u00a0AI space<\/a>:<\/p>\n

    <\/figure>\n

    Beyond the possibility that the company is just trolling Elon, X, and\u00a0xAI<\/a>, there are legitimate reasons for an AI company to launch a social media platform. AI companies with access to social media platforms through partnerships or in-house ownership have several advantages. Social platforms generate constant, real-time streams of user data, which is invaluable for training models. On top of that, these user-generated data points are proprietary, and oftentimes, the AI companies\u2019 competitors can\u2019t access or use them.\u00a0<\/p>\n

    However, the value doesn\u2019t stop at data. It\u2019s also about distribution. If your AI product is integrated into a platform with a billion users, you don\u2019t need to spend on marketing. Instead, you have a built-in distribution channel that guarantees your product will be discovered and used.<\/p>\n

    It will be interesting to see whether OpenAI actually follows through and launches this rumored platform. I personally am skeptical that users actually want a social network centered around\u00a0generative AI images<\/a>. But at the same time, I have seen arguably worse ideas succeed.<\/p>\n

    Meta AI is\u00a0training on your public data<\/strong><\/p>\n

    This week, Meta (NASDAQ: META<\/a>)\u00a0announced<\/a>\u00a0that it will begin using public, user-generated content to train the EU version of Meta AI.<\/p>\n

    \u201cWe believe we have a responsibility to build AI that\u2019s not just available to Europeans, but is actually built for them,\u201d said Meta in its official announcement. \u201cThat means everything from dialects and colloquialisms to hyper-local knowledge and the distinct ways different countries use humor and sarcasm on our products.\u201d<\/p>\n

    This comment from Meta highlights an element of AI that doesn\u2019t necessarily get much coverage: localization. Even if the interface looks the same, an AI model trained on American data might not work nearly as well in a European context. Cultural nuances like vocabulary, slang, humor, sarcasm, and tone vary from region to region and even more drastically across different countries and languages.<\/p>\n

    \n

    This brings us to the second layer of Meta\u2019s announcement: the value of personalization. The more these models \u201cknow\u201d about you\u2014your habits, history, and preferences\u2014the more useful and relevant they can be. That\u2019s why \u201cmemory\u201d features are a big deal in\u00a0artificial intelligence<\/a>. Once a chatbot remembers what you like, how you speak, and what you\u2019ve asked it before, its outputs become more tailored to you, leading to a better user experience.<\/p>\n

    All of this comes just a month after\u00a0Meta AI finally launched in the EU<\/a>\u201418 months behind its U.S. launch. The company claims the delay came from trying to navigate the EU\u2019s strict data protection and privacy laws.\n<\/p>\n<\/div>\n

    Nvidia to invest $500 billion in U.S. AI infrastructure<\/strong><\/p>\n

    The trend of massive investment in AI infrastructure continues, with Nvidia (NASDAQ: NVDA<\/a>)\u00a0announcing<\/a>\u00a0plans to build out AI infrastructure in the U.S. that could be worth as much as $500 billion over the next four years.<\/p>\n

    That investment includes bringing the production of its Blackwell AI chips into the United States, manufacturing in its Phoenix factory, and expanding\u00a0supercomputer manufacturing operations<\/a>\u00a0in Texas.<\/p>\n

    \u201cThe engines of the world\u2019s AI infrastructure are being built in the United States for the first time,\u201d said Jensen Huang, founder and CEO of Nvidia. \u201cAdding American manufacturing helps us better meet the incredible and growing demand for AI chips and supercomputers, strengthens our supply chain and boosts our resiliency.\u201d<\/p>\n

    The company line is that this move is meant to meet rising demand, create thousands of jobs, and drive \u201ctrillions of dollars in economic security over the coming decades.\u201d But under the hood, this is likely more about politics than demand planning.<\/p>\n

    This announcement comes just days after the White House introduced sweeping tariffs on any country with its own tariffs against the U.S. These tariffs can destroy margins and make doing business difficult for many companies that manufacture overseas.<\/p>\n

    So while Nvidia is talking about \u201cmeeting demand,\u201d what they\u2019re really doing is reacting to tariffs; aligning themselves with the White House\u2019s \u201cAmerica First\u201d economic stance likely secures them favorable treatment and keeps them out of the tariff crosshairs.<\/p>\n

    In order for artificial intelligence (AI) to work right within the law and thrive in the face of growing challenges, it needs to integrate an enterprise blockchain system that ensures data input quality and ownership\u2014allowing it to keep data safe while also guaranteeing the immutability of data.\u00a0<\/em>Check out CoinGeek\u2019s coverage<\/em><\/a>\u00a0on this emerging tech to learn more\u00a0<\/em>why Enterprise blockchain will be the backbone of AI<\/em><\/a>.<\/em><\/p>\n

    Watch Alex Ball on the future of tech: AI development and entrepreneurship<\/p>\n