--- title: Yann LeCun's $1B Bet Against LLMs [Part 1] | daily.dev description: Yann LeCun has raised $1 billion to pursue an alternative AI architecture called JEPA (Joint Embedding Predictive Architecture) as a challenger to large... canonical: https://daily.dev/posts/yann-lecun-s-1b-bet-against-llms-part-1--dlplrkcyq twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Yann LeCun's $1B Bet Against LLMs [Part 1] | daily.dev og:description: Yann LeCun has raised $1 billion to pursue an alternative AI architecture called JEPA (Joint Embedding Predictive Architecture) as a challenger to large... og:url: https://daily.dev/posts/yann-lecun-s-1b-bet-against-llms-part-1--dlplrkcyq og:image: https://api.daily.dev/og/posts/dlPlrkcyq.png og:image:alt: Yann LeCun's $1B Bet Against LLMs [Part 1] og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Yann LeCun's $1B Bet Against LLMs [Part 1] **[Welch Labs](https://daily.dev/sources/welchlabsvideo)** · 1 min read · 0 upvotes · 0 comments ## Summary Yann LeCun has raised $1 billion to pursue an alternative AI architecture called JEPA (Joint Embedding Predictive Architecture) as a challenger to large language models. Unlike LLMs which predict next tokens, JEPA uses encoders to convert inputs and outputs into embeddings, then trains a predictor model to predict the embedding of Y given the embedding of X. LeCun argues LLMs are only good at manipulating language and reasoning in language-substrate domains, while JEPA and world-model-based approaches will eventually replace LLMs by solving broader intelligence problems. ## Full article daily.dev links to this article rather than hosting it. 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