DeepSeek has released two AI models that, according to industry experts, rival those of leading American labs at a fraction of the cost. While training its latest model cost only $5.6 million, training similar models from companies like OpenAI and Anthropic often ranges from $100 million to $1 billion. This shift questions the belief that large financial investments are necessary to advance AI technology. Critics and the open-source community are eager to verify DeepSeek's claims and methods, suggesting that the path to AI dominance may not solely depend on financial resources.
DeepSeek seems to have just upended our idea of how much AI costs, with potentially enormous implications across the industry.
The conventional wisdom has been that big tech will dominate AI simply because it has the spare cash to chase advances.
It won't take long for the open-source community to find out... we're going to find out pretty quickly if numbers add up.
R1 used two key optimization tricks, according to former OpenAI policy researcher Miles Brundage.
Collection
[
|
...
]