($) Llama 3.1 and Its Geopolitical Implications
Output for training, synthetic data use, and more
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Yesterday, Meta released its much-anticipated Llama 3.1 series of open AI models. Among them is a 405 billion parameter model that is by far the largest and most state-of-the-art (SOTA) frontier model that exists in the open-source world.
There are (and will be) many, many, many analyses and benchmarks comparing Llama 3.1 405B with the set of closed-source SOTA models – GPT4, Claude, Gemini, etc. I won’t add to that noise here. Instead, in this post, I want to highlight some notable improvements and changes in this model, shared in its model card and technical paper, that makes it arguably the most consequential development in the geopolitical dynamics and global competition of AI yet.
Let’s dig in!
