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Llama 4 Scout and Maverick Fuel US Edge in AI Competition
Key Takeaways
- David Sacks says Meta’s Llama 4 has helped the US regain its lead in the global AI race;
- Meta released two new models—Llama 4 Scout and Maverick—both built for a range of tasks;
- Meta claims Maverick matches DeepSeek v3 in reasoning tasks using fewer parameters.
David Sacks, who leads artificial intelligence (AI) and crypto policy at the White House, said the United States may now be ahead in the global AI race, thanks to Meta’s latest release.
On April 5, he posted on X that Meta’s new model, Llama 4, has helped the country regain its lead—especially in open-source development. He wrote, "For the US to win the AI race, we have to win in open source too, and Llama 4 puts us back in the lead".
Sacks' latest comments followed Meta’s announcement of two new AI models: Llama 4 Scout and Llama 4 Maverick.
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Both were introduced in an April 5 post by Meta’s AI team, which described them as the company’s most capable models so far, designed to work well across different types of tasks.
According to Meta, the Scout model uses 17 billion active parameters and works with 16 experts. It is said to perform better than other models such as Gemma 3, Gemini 2.0 Flash-lite, and Mistral 3.1 on several common benchmarks used to compare AI tools.
The Maverick version also uses 17 billion active parameters but is built with 128 experts instead. Meta claims this version beats GPT-4o and Gemini 2.0 Flash in similar benchmark tests. It also says Maverick can match DeepSeek v3 when it comes to tasks like logical reasoning and code generation, even though it uses fewer active parameters than DeepSeek.
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