What is the main idea of the video?
— The main idea is that while large language models have limitations, self-supervised learning and open source AI models like Llama 2 have the potential to foster innovation and improve machine learning systems.
What are some examples of open source AI models mentioned in the video?
— Some examples of open source AI models mentioned in the video are GPT, Blenderbot, Galactica, Llama, Alpaca, Lambda, Bard, Chinchilla, and ChatGPT.
How do autoregressive language models like ChatGPT perform?
— Autoregressive language models like ChatGPT produce inconsistent, outdated, and unreliable answers, lack the ability to reason or plan, and can be manipulated by changing the prompt.
What is the solution proposed for improving machine learning systems?
— The solution proposed for improving machine learning systems is to focus on self-supervised learning, which enables reasoning and planning in AI systems and can lead to the development of models that can plan and generate factual, fluent, non-toxic, and controllable responses.
What is the challenge for the future of AI research?
— The challenge for the future of AI research is to develop systems that can learn hierarchical planning and decomposition of complex tasks into simpler ones, as current AI systems are hardwired and unable to do so.
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