Ilya Sutskever, co-founder of AI labs SSI and OpenAI, stated, "The 2010s were the age of scaling, now we're back in the age of wonder and discovery once again. Everyone is looking for the next thing. Scaling the right thing matters more now than ever." This highlights a shift from a purely data-driven approach to a focus on innovation and discovery in AI development.
Artificial intelligence companies are seeking to overcome unexpected delays and challenges in developing large language models by exploring training techniques that encourage more human-like thinking processes, indicating a significant evolution in AI training methodologies.
After the success of ChatGPT, many technology companies have adhered to the notion that simply adding more data and computing power will enhance AI models. However, leading AI scientists caution that this ‘bigger is better’ philosophy may overlook important factors in model training.
Ilya Sutskever emphasizes that the current trends indicate that the results from scaling up pre-training have plateaued. This suggests a need for new approaches and techniques that could drive further advancements in AI.
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