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Update README.md
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@ -283,8 +283,8 @@ This is a curated collection of "dramatic" GitHub interactions.
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### EpicGames/Signup
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- [EpicGames/Signup/pull/24](https://github.com/EpicGames/Signup/pull/24)
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- Journalistic Media: [Y Combinator](https://news.ycombinator.com/item?id=31627061)
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- Notification spam of 400k GitHub users due to tagging @EpicGames/developers on GitHub
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- Journalistic Media: [Y Combinator](https://news.ycombinator.com/item?id=31627061)
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### facebook/react
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@ -294,6 +294,11 @@ This is a curated collection of "dramatic" GitHub interactions.
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### facebookresearch/llama
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- [facebookresearch/llama/pull/73](https://github.com/facebookresearch/llama/pull/73) (archive: [1](https://archive.ph/ZvKFb), [2](https://web.archive.org/web/20230617162315/https://github.com/facebookresearch/llama/pull/73), [3](https://ghostarchive.org/archive/eUj93))
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- Summary:
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- Meta's LLaMA is a 65-billion-parameter large language model.
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- The Register reported that "someone on 4Chan posted details on how to obtain the whole model via peer-to-peer file sharing, and eventually instructions on how to download it all were published on GitHub." (source: [The Register](https://www.theregister.com/2023/03/08/meta_llama_ai_leak/), March 8, 2023)
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- The Guardian reported, "Initially posted to 4Chan, a link to the BitTorrent mirror of LLaMA eventually made it to GitHub" (source: [The Guardian](https://www.theguardian.com/technology/2023/mar/07/techscape-meta-leak-llama-chatgpt-ai-crossroads), March 7, 2023)
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- A GitHub user opened a pull request containing the magnet link originated from 4chan /g/. (source: [pull/73](https://github.com/facebookresearch/llama/pull/73))
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- Journalistic Media:
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- [The Guardian](https://www.theguardian.com/technology/2023/mar/07/techscape-meta-leak-llama-chatgpt-ai-crossroads) (archive: [1](https://archive.ph/44CDu), [2](https://web.archive.org/web/20230617170443/https://www.theguardian.com/technology/2023/mar/07/techscape-meta-leak-llama-chatgpt-ai-crossroads), [3](https://ghostarchive.org/archive/zb4HJ))
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- [The Register](https://www.theregister.com/2023/03/08/meta_llama_ai_leak/) (archive: [1](https://archive.ph/PMXtD), [2](https://web.archive.org/web/20230617170626/https://www.theregister.com/2023/03/08/meta_llama_ai_leak/), [3](https://ghostarchive.org/archive/IP5dP))
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@ -306,11 +311,6 @@ This is a curated collection of "dramatic" GitHub interactions.
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- [Hacker News page 3](https://news.ycombinator.com/item?id=35007978&p=3) (archive: [1](https://archive.ph/sC12X), [2](https://web.archive.org/web/20230617203024/https://news.ycombinator.com/item?id=35007978&p=3), [3](https://ghostarchive.org/archive/tRiTU))
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- [rDrama](https://rdrama.net/h/slackernews/post/151549) (archive: [1](https://archive.ph/oByTw), [2](https://web.archive.org/web/20230617194604/https://rdrama.net/h/slackernews/post/151549), [3](https://ghostarchive.org/archive/Mh2ao))
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- [Reddit r/MachineLearning](https://old.reddit.com/r/MachineLearning/comments/11h3p2x/d_facebooks_llama_leaks_via_torrent_file_in_pr/) (archive: [1](https://archive.is/VFoTn), [2](https://web.archive.org/web/20230612032838/https://old.reddit.com/r/MachineLearning/comments/11h3p2x/d_facebooks_llama_leaks_via_torrent_file_in_pr/), [3](https://ghostarchive.org/archive/fpseV))
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- Summary:
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- Meta's LLaMA is a 65-billion-parameter large language model.
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- The Register reported that "someone on 4Chan posted details on how to obtain the whole model via peer-to-peer file sharing, and eventually instructions on how to download it all were published on GitHub." (source: [The Register](https://www.theregister.com/2023/03/08/meta_llama_ai_leak/), March 8, 2023)
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- The Guardian reported, "Initially posted to 4Chan, a link to the BitTorrent mirror of LLaMA eventually made it to GitHub" (source: [The Guardian](https://www.theguardian.com/technology/2023/mar/07/techscape-meta-leak-llama-chatgpt-ai-crossroads), March 7, 2023)
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- A GitHub user opened a pull request containing the magnet link originated from 4chan /g/. (source: [pull/73](https://github.com/facebookresearch/llama/pull/73))
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### fasterthanlime/42da9378768aebef662dd26dddf04849
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