Meta officially entered the Aresta Assistant Autonomous Assistant Assistant with the launch of its new Meta AI application, unveiled at the first conference of Llamacon developers on April 29, 2025. Propelled by the last meta Meta Great language modelLlama 4, the application aims to offer an IA experience more personalized and socially integrated, distinguished from competitors like Chatgpt.
Llama 4: The engine behind Meta Ai
At the heart of the Meta Ai application is Llama 4, the most advanced Meta's most advanced language model to date. LLAMA 4 presents an architecture for the mixture of experts, allowing the model to more effectively manage complex tasks. It supports multimodal inputs, allowing users to interact using both text and images, and offers multilingual capacities in 12 languages. The model is available in two variants: Scout and Maverick. Scout offers 17 billion active parameters with a context window of 10 million tokens, while Maverick has 400 billion parameters and a 1 million token context window.
Personalized assistance by social integration
Which defines the Meta AI application Apart from its deep integration with the existing social platforms of Meta. By taking advantage of Facebook and Instagram data, the application can adapt the responses according to user preferences and the social context. For example, if a user has shared interests or interactions spent on these platforms, Meta AI can provide more relevant and personalized responses.
Users can also ask Meta IA to remember specific details, such as food restrictions or favorite activities, improving the personalization of future interactions.
Discover the flow: Socialization of AI interactions
A remarkable feature of the Meta AI application is the “discover” flow, which allows users to share their interactions in AI with the community. This flow has a variety of prompts and answers, allowing users to explore and engage with the content generated by others. To populate this flow, the creators of enlisted meta content, including the manufacturers of memes and travel bloggers, to test the application and share their experiences.
Although the discovery flow includes interactive elements such as likes and comments, there is currently lack of complete social networking features such as followers or research options. Nevertheless, it represents a step towards the more municipal appointment and engaging the interactions of AI.
Vocal interaction and multiplatform continuity
The Meta AI application emphasizes vocal interaction, allowing users to engage in conversations using natural language. This feature is particularly beneficial for multitasking and is currently available in the United States, Canada, Australia and New Zealand.
In addition, the application fits perfectly with the Meta Ray-Ban intelligent glasses, replacing the existing Meta View application. This integration allows users to initiate conversations through glasses and continue them on their phones or desk, ensuring a coherent experience between devices.
Conclusion
Meta's launch of its AI autonomous application marks a pivotal moment in the evolution of digital assistants. By combining advanced language modeling with deep social integration, the Meta AI application offers a personalized and engaging user experience. While the company continues to refine and expand the capacities of the application, it is positioned as a formidable competitor in the assistant landscape of the AI.
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Sana Hassan, consulting trainee at Marktechpost and double -degree student at Iit Madras, is passionate about the application of technology and AI to meet the challenges of the real world. With a great interest in solving practical problems, it brings a new perspective to the intersection of AI and real life solutions.
