The global competition for leadership in artificial intelligence is intensifying, and the United States is looking to consolidate its position. According to David Sacks, the launch of Meta's Llama 4 boosts the United States in the AI race..
In the fast-paced world of artificial intelligence, a new contender has emerged, promising to reshape the landscape and cement America's position as the undisputed leader. Llama 4, Meta's latest creation, an open-source AI that not only challenges its competitors but also redefines the limits of what's possible in the field of multimodality. But, What makes Llama 4 so special? How will its release impact the already intense race for AI supremacy?
David Sacks, a key figure in the Donald Trump administration as the White House's AI and cryptocurrency czar, has said that the launch of Llama 4 puts the United States back at the forefront of this technological race.
PREPARE YOUR WALLETLlama 4: Meta's new open AI that dominates in multimodality
Meta has launched its models to the world Llama 4 Scout y Llama 4 Maverick, the fourth generation of his Llama project, once again consolidating his commitment to open source. Regarding this release, Sacks has declared that Llama 4 returns the United States to the lead in the race for artificial intelligence, since it is not just a technological update, but a declaration of intent in an increasingly competitive global market.
The main feature that distinguishes Llama 4 is its multimodality. This means that these AI models They can process and understand different types of data simultaneously, such as text, images, audio, and video.Imagine an AI capable of analyzing a video, understanding its visual content, interpreting the accompanying audio, and answering questions about it, all in real time. With this in mind, this capability in Llama 4 opens up a range of possibilities in fields such as customer service, content creation, and scientific research.
Additionally, the Llama 4 models are not only powerful, but also accessibleBeing open source, developers and researchers from around the world can use, modify, and adapt them to their needs. This fosters innovation and accelerates the development of new AI applications. With this strategy, Meta seeks to create a collaborative ecosystem, driving the adoption of its new models and improving its capabilities with the contributions of the global community. In other words, by opening its source code, Meta is allowing a global community of developers and researchers to contribute to improving and expanding Llama 4's capabilities.
BUY FARTCOINIn addition to the already mentioned models Scout y MaverickIt's important to note that the Llama family includes different model sizes, allowing for greater flexibility for deployment in diverse environments, from mobile devices to cloud servers. This modular approach undoubtedly facilitates adaptation to the specific needs of each application.
The race for AI has intensified since the arrival of DeepSeek
The race for AI dominance has become a direct competition between the United States and China. Both countries are investing heavily in research and development of this technology, as well as in talent development and infrastructure creation. Therefore, the launch of Llama 4 does not come in a vacuum. At the end of March, China launched its model DeepSeek, which has burst into this competition, defying market expectations.
What's surprising about DeepSeek is that it achieved such impressive results with significantly less investment than its competitors, such as OpenAI's ChatGPT. While OpenAI invested around $100 million in training the ChatGPT-4 model, DeepSeek claims to have spent only $6 million on training its model.
The success of DeepSeek R1 shook the market and caused stocks of American technology companies like Nvidia to plummet. It proved that huge investments aren't always necessary to achieve significant breakthroughs in AI. This "Sputnik moment," as Marc Andreessen described it, served as a wake-up call for American companies, urging them to innovate and find new ways to compete in the AI race.
INVITE AND WINUS President Donald Trump described the launch of DeepSeek R1 as a "wake-up call" for American companies. Since then, these companies have sought to leapfrog in the AI race, and according to Sacks, who has been a staunch advocate for AI, DeepSeek 4 has been the key.
Additionally, the emergence of DeepSeek illustrates China's growing influence in the global AI landscape. This competitor not only demonstrated its ability to develop effective models with limited resources, but also highlighted the importance of efficiency and optimization in AI training processes.
Meta claims Llama 4 is best in class and outperforms the competition
In this context of intense competition, Meta has launched Llama 4 with the firm conviction that it is best-in-class AIThe company claims that Llama 4 outperforms its competitors in a wide range of tasks, including natural language processing, creative text generation, and image understanding.
Meta has subjected Llama 4 to rigorous comparative testing with other AI models, such as Gemma 3, Gemini 2.0 Flash-Lite and Mistral 3.1The results, according to the company, demonstrate that Llama 4 offers superior performance in several areas. In particular, Meta highlights Llama 4's ability to understand and generate text in multiple languages, making it a valuable tool for global communication.
In addition to its technical performance, Meta has also highlighted the efficiency of the Llama 4, noting that the Llama 4 Scout and Llama 4 Maverick models are designed to run on a wide range of hardware, from laptops to cloud servers. This facilitates its adoption by developers and researchers with diverse resources. In addition, Meta has also worked to optimize Llama 4's power consumption, making it more sustainable than other large AIs.
But Llama 4's versatility extends beyond simply running on various devices. It also incorporates security and control tools that allow developers to mitigate the risks associated with the use of AI, such as the generation of inappropriate or biased content. This concern for ethics and responsibility in AI development is a key factor in Meta's strategy.
Mixed Expert Architecture: How Does Llama 4 Work?
One of the secrets behind Llama 4's performance is its Mixed Expert Architecture, MoERather than using a single, monolithic model, Llama 4 relies on the collaboration of multiple smaller models, each specialized in a specific task.
When Llama 4 receives a request, an intelligent routing system determines which experts are best suited to address that request. These experts work in parallel, and their results are combined to generate the final response. This architecture allows Llama 4 to scale its capabilities efficiently, adding new experts as needed. The Llama 4 Scout and Llama 4 Maverick models are the first open-source Meta AI models built using a MoE architecture..
On the other hand, Llama 4 Scout has 17 billion active parameters and 16 experts, while Llama 4 Maverick has the same number of parameters but is designed with 128 experts. Furthermore, the former can fit on a single NVIDIA H100 GPU, while the latter requires an H100 host.
LINK CARD AND EARNDelving deeper into the MoE architecture, it's important to highlight that the selection of the most suitable "experts" for each task is carried out through a dynamic routing process. This process analyzes the request and determines which models can add the most value to the solution. With all this, Meta has adopted an approach that allows for efficient allocation of computing resources and a significant improvement in overall system performance.
Llama 4 Behemoth: One of the smartest LLMs in training right now
Meta isn't satisfied with the achievements of the Llama 4 Scout and Llama 4 Maverick. The company is already working on the next generation of Llama models, including Llama 4 Behemoth, a large language model (LLM) which promises to be one of the smartest in the world.
Llama 4 Behemoth is currently in its training phase, and Meta has revealed few details about its architecture and capabilities. However, the company has hinted that Behemoth will outperform Llama 4 in all areas, including performance, efficiency, and multimodality. Behemoth is expected to be capable of even more complex tasks, such as high-quality creative text generation, real-time language translation, and logical reasoning.
In the context of the global competition for AI dominance, the launch of Llama 4 Behemoth would further cement the United States' position as a leader in the field.
In addition to the aforementioned capabilities, Llama 4 Behemoth could incorporate new machine learning techniques, such as reinforcement learning with human feedback (RLHF). This technique allows the model to be fine-tuned based on user preferences and feedback, potentially resulting in an AI more aligned with human values and better able to generate relevant and useful results.
GO TO BIT2ME LIFEIn conclusion, Llama 4 represents a significant advancement in the field of artificial intelligence. Its innovative architecture, multimodality, and accessibility make it a valuable tool for developers and researchers around the world. The launch of Llama 4 cements the United States' position as a leader in the AI race and opens up a whole new world of possibilities for the future of the technology.
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