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    Home » Blog » Meta Delays Its Next Big AI Launch – Again

    Meta Delays Its Next Big AI Launch – Again

    May 16, 2025Updated:May 16, 2025 Tech No Comments
    envato IciakPhotos full white llama lama glama head and neck closeup utc jpg
    envato IciakPhotos full white llama lama glama head and neck closeup utc jpg
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    A close-up picture of a Llama.
    Image: Envato/IciakPhotos

    Meta has delayed the launch of its larger conceptual AI design, Llama 4 Behemoth, from its initial April release to an unknown date in the fall. The woman’s numerous delays, reported by The Wall Street Journal, come as critics inside and outside of Meta problem whether big conceptual AI models have reached a achievement plateau.

    What is Llama 4 Behemoth?

    Llama 4 Behemoth is a 288-billion-parameter big language unit. Meta described Behemoth as “one of the smartest LLMs in the world and our most potent but to serve as a tutor for our new versions”.

    Actually, Meta planned to comeback Behemoth at its AI developer meeting in April. The launch was second delayed until June, and has now been postponed once. Behemoth would be the largest type of Llama 4, Meta’s latest premier design. Meta claimed Behemoth outperformed OpenAI’s GPT-4.5, Anthropic’s Claude Sonnet 3.7, and Google’s Gemini 2.0 Pro on some STEM measures.

    Meta has previously used Behemoth to teach its smaller Llama 4 designs, Scout and Maverick.

    Meta competes with OpenAI, Google, Anthropic, and xAI, and other businesses in the conceptual AI business.

    Notice: xAI’s Groq facilities enables high-speed result for Meta’s Llama API.

    More must-read AI cover

    Questions raised about AI performance jump

    According to The Wall Street Journal, some Meta people are questioning whether Behemoth offers a substantial enough progress over successors to permit a common release. At the same time, senior managers are blaming the Llama 4 staff for not making much improvement.

    These interior concerns echo broader concerns within the AI business about the speed and cost of advancing conceptual AI. Some experts warn that additional gains does come with unreasonably high costs and slower advancement cycles, making it difficult to support the rapid pace of product launches seen in recent years by companies like Meta and Open AI.

    ” Right now, the progress is quite small across all the labs, all the models”, Ravid Shwartz-Ziv, an assistant professor and faculty fellow at New York University’s Center for Data Science, told The Wall Street Journal.

    Source credit

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