What is Javon's paradox in the context of technology and market demand?
DeepSeek Sparks Race to the AI Bottom Fears

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Business, Information Technology (IT), Architecture, Social Studies
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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
When efficiency decreases, demand increases.
When efficiency increases, demand decreases.
When efficiency increases, demand remains constant.
When efficiency increases, demand increases.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a key achievement of Deep Seek's latest model?
It is only capable of processing images.
It is the largest model ever created.
It is as sophisticated as other leading models but at a lower cost.
It is the most expensive model to train.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does the market for LLMs (Large Language Models) appear to be evolving?
It is moving away from open-source models.
It is becoming less diverse.
It is becoming more diverse with various models and applications.
It is focusing solely on text-based models.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How might the advancements in AI models affect companies like NVIDIA?
They will likely see a decrease in demand for their products.
They will stop investing in AI technology.
They may benefit from increased demand for compute capacity.
They will focus solely on software development.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the potential impact of open-source AI models on companies' spending plans?
Companies will stop investing in AI altogether.
Companies will explore incorporating open-source innovations.
Companies will reduce spending on AI development.
Companies will increase spending on proprietary models.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a potential risk mentioned in relation to geopolitical aspects of AI development?
Increased collaboration between countries.
Export restrictions that could hinder innovation.
A decrease in AI research funding.
A shift towards more hardware development.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a potential benefit of the shift from hardware to software in the AI industry?
Increased hardware costs.
Reduced demand for AI applications.
Decreased software innovation.
Improved return on investment at the application layer.
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