We won’t but we’re getting better and better at learning from less more the reporter continues to press Sam Alman on the issue of training data asking if not being able to access certain types of data would hamper the development and improvement of the GPT models and Sam Alman’s response suggests that they are confident in their ability to continue developing and improving the models with or without access to certain types of data.
The conversation then shifts to the topic of ethics and responsibility in AI development. Alman acknowledges the importance of responsible use and development of AI and emphasizes the need to ensure that AI is used in a way that benefits everyone. He reassures that Meta is committed to open-sourcing the AI models and making them widely available to ensure that everyone can benefit from the technology. Alman also mentions the need for new devices for AI, which brings together AI and the metaverse. He suggests that over time, many people will interact with AI using glasses, as glasses are the ideal form factor for letting an AI see and hear what the user sees and hears. This vision aligns with Meta’s efforts in developing the Meta Ray-Ban glasses with Meta AI, which are already off to a promising start.
As the interview progresses, Alman shares insights into the ongoing training of Llama 3 and Meta’s roadmap for future models. He emphasizes the importance of increasing the overall intelligence of the models and continues to hint at the potential of open-sourcing AGI, further aligning with Meta’s commitment to making AI available and useful to everyone.
The conversation then delves into the potential of training AI models using synthetic data, which could reduce reliance on large amounts of training data from the internet. Alman shares that Meta is exploring the use of synthetic data for training future models and highlights the effectiveness of this approach, citing examples from Orca 2 by Microsoft. He also addresses the issue of copyrighted data, stating that while access to large amounts of data is important, the quality of the data is crucial, and Meta is continually improving its ability to learn from less data.
Overall, the interview provides valuable insights into Meta’s AI research efforts and their commitment to developing and open-sourcing AI models responsibly. The discussion highlights the potential of AI to revolutionize daily interactions and workflows, as well as the importance of ethical and responsible use of AI technology. As Meta continues to advance its AI research and development efforts, it aims to make AI available and beneficial to everyone, integrating it seamlessly into daily life through innovative devices such as the Meta Ray-Ban glasses. With a focus on increasing the overall intelligence of AI models and exploring new training methods, Meta is poised to shape the future of AI technology and its impact on society.
