Is Openai Building a social media platform?
It is rumored that Ouena develops its own social media platform. According to a Report from ResidualThe prototype focuses on generative artificial intelligence (AI) image creation and includes a feed -like social component.
This sounds like the Openai team trolls ELON MUSIC– The owner of X (formerly Twitter) – a person who has given the company problems through their mood against them.
Although the rumor has not been confirmed by the company, already in March, Sam Altmanfounder and CEO of Openai, tweeted to build a social platform in response to Metas movements in You have space:
In addition to the possibility that the company only trolls Elon, X and XaiThere are legitimate reasons for an AI company to start a social media platform. AI companies with access to social media platforms through partnership or internal ownership have several advantages. Social platforms generate constantly, real -time streams of user data, which is invaluable for training models. In addition, these user-generated data points are ownership, and often AI companies’ competitors cannot access or use them.
However, the value does not stop at data. It is also about distribution. If your AI product is integrated into a platform with a billion users, you do not need to spend on marketing. Instead, you have a built -in distribution channel that guarantees that your product will be detected and used.
It will be interesting to see if Openai actually follows through and launches this rumored platform. I am personally skeptical that users actually want a social network centered around Generative AI pictures. But at the same time, I have undoubtedly seen worse ideas succeed.
Meta AI trains on your public tasks
This week, meta (Nasdaq: Meta) announced That it is starting to use publicly, user-generated content to train the EU version of Meta AI.
“We believe we have a responsibility to build AI that is not only available to Europeans, but is actually built for them,” Meta said in its official announcement. “It means everything from dialects and colloquial vials to hyper -local knowledge and the distinct ways that different countries use humor and sarcasm on our products.”
This comment from Meta highlights an element in AI that does not necessarily receive much coverage: location. Although the interface looks the same, an AI model trained on American data may not work almost as well in a European context. Cultural shades such as vocabulary, hose, humor, sarcasm and tone vary from region to region and even more drastically in different countries and languages.
This leads us to the second layer of meta’s announcement: the value of personalization. The more these models “know” about you – your habits, history and preferences – the more useful and relevant they can be. That’s why “memory” features are a big deal in Artificial intelligence. When a chatbot remembers what you like, how you talk and what you have asked it before, its exits become more tailor made for you, which leads to a better user experience.
All this comes only a month after Meta AI was finally launched in the EU—18 months after the launch of the United States. The company claims that the delay came from trying to navigate the EU’s strict data protection and privacy laws.
Nvidia invests $ 500 billion in US AI infrastructure
The trend of massive investments in AI infrastructure continues, with Nvidia (Nasdaq: NVDA) announcement Planning to expand AI infrastructure in the United States, which may be worth as much as $ 500 billion over the next four years.
This investment includes bringing the production of its Blackwell AI chips to the United States, manufacturing in its Phoenix factory and expanding Super computer manufacturing operations in Texas.
“The engines for the world’s AI infrastructure are being built in the United States for the first time,” said Jensen Huang, founder and CEO of Nvidia. “Adding American manufacturing helps us to better meet the incredible and growing demand for AI chips and super computers, strengthens our supply chain and increases our elasticity.”
The company line is that this feature is intended to meet increasing demand, create thousands of jobs and drive “trillion dollars in financial security in the coming decades.” But under the hood, it is probably more about politics than the demand for planning.
This announcement comes just a few days after the White House introduced sweeping tariffs in all countries with its own tariffs against the United States, these customs can destroy margins and make it difficult for many companies that manufacture abroad.
So while Nvidia is talking about “meeting demand”, what they really do is react to customs; Adapting to the White House’s “America First” financial attitude probably ensures them favorable treatment and keeps them out of the customs crossings.
In order for artificial intelligence (AI) to work properly within the law and thrive on growing challenges, it must integrate a corporate blockchain system that ensures data input quality and ownership – which makes it possible to keep data secure and at the same time guarantee data impossible. Check out COINGEEK’s coverage on this new technology to learn more Why Enterprise Blockchain will be the spine in AI.
Look at Alex Ball about the future of technology: AI development and entrepreneurship
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