We've achieved peak data and there'll be no more. All the useful data on the internet has already been used to train AI models, and this era will unquestionably end.
A relatively new technique called test-time or inference-time compute allows AI models to tackle challenging tasks by slicing queries into smaller tasks, creating a better final response.
Benchmark-based testing of new reasoning models has shown they often generate better outputs, suggesting there might still be room for improvement through advanced methodologies.
Even with the looming data deficit, most AI experts remain unfazed, indicating confidence in leveraging new approaches and technologies to enhance AI capabilities.
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