San Francisco- The Giant of Silicon Valleyowner of Facebook, instagram and WhatsApphad created an artificial intelligence technology, which he named Callsthat can empower online chatbots. But, Rather than keep the technology, Meta released the system’s underlying computer code.. Academics, government researchers and others who gave their email address to Goal they could download the code after the company had verified their identity.
In essence, Meta gave away its AI technology as open source software (computer code that can be freely copied, modified, and reused) and provided third parties with everything they needed to create their own chatbots..
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“The platform that will win will be the open one”, Yann LeCun, chief AI scientist at Goal.
As the race to lead in AI heats up in Silicon Valley, Meta stands out from its rivals by taking a different approach to technology. Driven by its founder and CEO, mark zuckerberg, Meta believes that the smart thing to do is to share its underlying AI engines as a way to extend its influence and ultimately move faster into the future..
Its actions contrast with those of Google and OpenAI, the two companies leading the new race of artificial intelligence.he. These companies, Concerned that AI tools like chatbots could be used to spread misinformation, hate speech, and other toxic content, they are increasingly tight-lipped about the methods and software their AI products are based on..
Google, OpenAI and other companies have criticized Meta, arguing that an unrestricted open source approach is dangerous.. The rapid rise of AI in recent months has alerted to the risks of the technologyincluding the possibility that it could disrupt the labor market if it is not used properly. Within days of LLaMA’s publication, the system was leaked on 4chan, a message board known for spreading false and misleading information..
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Zoubin Ghahramani, vice president of research at Google who helps oversee the work of artificial intelligence, states: “We want to think more carefully when it comes to giving details or opening the source code” of AI technology. “How can that lead to misuse?”.
some in Google they have also asked Whether open source AI technology can pose a competitive threat. In a statement this month, which was leaked in the online publication semianalysis.coman engineer from Google warned his colleagues that the rise of open source software like LLaMA could cause Google and OpenAI to lose their leadership in this sector.
But Goal he said he saw no need to reserve his code. The growing secrecy of Google and Open AI is a “huge mistake,” LeCun said, and a “quite wrong view of what is happening”. Maintains that consumers and governments will refuse to embrace artificial intelligence unless it is outside the control of companies like Google and Meta.
“Do you want all artificial intelligence systems to be under the control of a couple of powerful American companies?“, asked.
Open AI declined to comment.
Meta’s open source strategy towards artificial intelligence is not new. The history of technology is littered with battles between open source systems and proprietary or closed systems. Some hoard the most important tools to build the computing platforms of the future, while others give them away. Google recently open-sourced the Android mobile operating system to challenge Apple’s dominance of smartphones..
In the past, many companies shared their information technologies. artificial intelligence, at the insistence of the researchers. But his tactics are changing due to the race around artificial intelligence. That turn started last year when OpenAI released ChatGPT. The great success of chatbot captivated consumers and triggered competition in this field. Google has been quick to incorporate more artificial intelligence into its products and Microsoft is investing $13 billion in OpenAI.
While Google, Microsoft and OpenAI have since received most of the attention in the field of artificial intelligence., Meta has also invested in this technology for almost a decade.. The company has poured billions of dollars into building the software and hardware needed to make chatbots and other things a reality.”generative AI”, which produce text, images and other media on their own.
In recent months, Goal has worked hard behind the scenes to integrate its years of AI research and development into new products. Zuckerberg is focused on making the company an industry leader, holding weekly meetings on the subject with his executive team and product managers.
On Thursday, in a show of his commitment to artificial intelligence, Goal said he had designed a new computer chip and improved a new supercomputer specifically for creating artificial intelligence. It is also designing a new computer data center with an eye toward creating artificial intelligence.
“We have been building advanced infrastructure for artificial intelligence and this work reflects long-term efforts that will enable even more advances and better use of this technology in everything we do.”Zuckerberg declared.
Meta’s biggest advance in the field of artificial intelligence in recent months has been the release of a large language model, or LLM, known as LLaMA (Large Language Model Meta AI). LLMs are systems that learn skills by analyzing large amounts of text, such as books, Wikipedia articles, and chat logs. ChatGPT and Google’s Bard chatbot are also based on this type of system.
LLMs identify patterns in text that they analyze and learn to generate text on their own, such as academic papers, blog posts, poetry, and computer code. They can even hold complex conversations.
In February, Meta released the use of LLaMAallowing academics, government researchers, and others who provided an email address to download the code and use it to create their own chatbot.
But the company went much further than other open source AI projects. It allowed people to download a version of Calls after being trained with huge amounts of digital text pulled from the internet. The researchers call this “unleashing the weights,” referring to the particular mathematical values learned by the system as it analyzes the data.
This is important because analyzing all that data often requires hundreds of specialized computer chips and tens of millions of dollars—resources that most companies lack. Those with the bucks can deploy the software quickly, easily, and cheaply, spending a fraction of what it would cost to create such powerful software.
As a result, many in the tech industry believed that Meta had set a dangerous precedent. And after a few days, someone published the weights of Calls in 4chan. c.2023 The New York Times Company.
By Cade Metz and Mike Isaac, The New York Times.