OpenAI Starts Training Its New Flagship AI Model
On Tuesday, OpenAI, one of the world’s leading artificial intelligence companies, announced that it has begun training a new flagship AI model to succeed its current GPT-4 technology, which powers the popular online chatbot, ChatGPT. The company expects this new model to bring “the next level of capabilities” in its pursuit of artificial general intelligence (AGI), aiming to create machines that can perform any intellectual task that a human can.
As per the reports, OpenAI highlighted that the forthcoming model will serve as the engine for a range of AI products, including chatbots, digital assistants, search engines, and image generators. The San Francisco-based startup is positioning itself to advance AI technology more rapidly than its competitors, while also addressing concerns about the potential dangers of AI, such as spreading disinformation, job displacement, and existential threats to humanity.
To address these risks, OpenAI has established a new Safety and Security Committee tasked with developing policies and processes to safeguard the latest model and future technologies. This committee includes OpenAI CEO Sam Altman and board members Bret Taylor, Adam D’Angelo, and Nicole Seligman. The company anticipates implementing new safety policies by late this year.
“We are proud to build and release models that are industry-leading in both capabilities and safety,” the company stated, welcoming a robust debate at this critical juncture. Developing AI models is lengthy, often taking months or even years. Following the training phase, additional months are usually dedicated to testing and fine-tuning the technology before it is released to the public. Consequently, it could be nine months to a year before OpenAI’s next model becomes available.
OpenAI’s announcement comes amidst a period of rapid advancement in AI technologies by leading tech companies such as Google, Meta, and Microsoft, each of which has significantly increased the power and capabilities of their AI systems over the past decade. The AI community remains divided on the timeline for achieving AGI, but the race to develop more advanced AI continues to hasten in the tech world.
