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src/lib/posts/introducing-rubric-labs.mdx

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export const metadata = {
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title: "Introducing Rubric Labs",
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subtitle: "The bridge between AI research and products",
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date: "2025-03-28",
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date: "2025-03-31",
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author: "Sarim Malik",
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bannerImageUrl: "/images/seedling.png",
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category: "Launch",
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## The AI deployment gap
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Today the world of AI is rapidly evolving. There is cutting edge research being published by research groups consistently. If you're an avid [Arxiv](https://arxiv.org) reader, you know exactly what I am talking about. There are [110 unique publications](https://arxiv.org/list/cs.AI/recent?skip=0&show=50) published just today in the AI category. Let that sink in.
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Today the world of AI is rapidly evolving. There is cutting edge research being published by research groups consistently. If you're an avid [Arxiv](https://arxiv.org) reader, you know exactly what I am talking about. There are [107 unique publications](https://arxiv.org/list/cs.AI/recent?skip=0&show=50) published just today in the AI category. Let that sink in.
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Moreover, the amount of amazing demos we're seeing on platforms like [𝕏](https://x.com/search?q=introducing%20AI&src=typed_query) and [LinkedIn](https://www.linkedin.com/search/results/content/?keywords=introducing%20AI&origin=SWITCH_SEARCH_VERTICAL&sid=\(Qf) is uncounted for. The advent of coding formats like "[vibe coding](https://x.com/karpathy/status/1886192184808149383)" have further increased the number of demos we see on a regular basis. But how many AI tools are we actually using? Not a lot. The gap between an amazing demo and a product that works in production still remains significant.
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