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  "notes": "The chart shows a peak in late 2019 followed by a decline to 15% by June 2020.",
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      "text": "Research paper code implementations are important for accountability, reproducibility and driving progress in AI. The field has made little improvement on this metric since mid-2016. Traditionally, academic groups are more likely to publish their code than industry groups. Notable organisation that don't publish all of their code are OpenAI and DeepMind. For the biggest tech companies, their code is usually intertwined with proprietary scaling infrastructure that cannot be released. This points to centralization of AI talent and compute as a huge problem.",
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