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=== Open source === Active organizations in the AI open-source community include [[Hugging Face]],<ref>{{Cite web |last1=Stewart |first1=Ashley |last2=Melton |first2=Monica |title=Hugging Face CEO says he's focused on building a 'sustainable model' for the $4.5 billion open-source-AI startup |url=https://www.businessinsider.com/hugging-face-open-source-ai-approach-2023-12 |access-date=2024-04-14 |website=Business Insider |archive-date=25 September 2024 |archive-url=https://web.archive.org/web/20240925013220/https://www.businessinsider.com/hugging-face-open-source-ai-approach-2023-12 |url-status=live }}</ref> [[Google]],<ref>{{Cite web |last=Wiggers |first=Kyle |date=2024-04-09 |title=Google open sources tools to support AI model development |url=https://techcrunch.com/2024/04/09/google-open-sources-tools-to-support-ai-model-development |access-date=2024-04-14 |website=TechCrunch |archive-date=10 September 2024 |archive-url=https://web.archive.org/web/20240910112401/https://techcrunch.com/2024/04/09/google-open-sources-tools-to-support-ai-model-development/ |url-status=live }}</ref> [[EleutherAI]] and [[Meta Platforms|Meta]].<ref>{{Cite web |last=Heaven |first=Will Douglas |date=May 12, 2023 |title=The open-source AI boom is built on Big Tech's handouts. How long will it last? |url=https://www.technologyreview.com/2023/05/12/1072950/open-source-ai-google-openai-eleuther-meta |access-date=2024-04-14 |website=MIT Technology Review}}</ref> Various AI models, such as [[LLaMA|Llama 2]], [[Mistral AI|Mistral]] or [[Stable Diffusion]], have been made open-weight,<ref>{{Cite news |last=Brodsky |first=Sascha |date=December 19, 2023 |title=Mistral AI's New Language Model Aims for Open Source Supremacy |url=https://aibusiness.com/nlp/mistral-ai-s-new-language-model-aims-for-open-source-supremacy |work=AI Business |access-date=5 October 2024 |archive-date=5 September 2024 |archive-url=https://web.archive.org/web/20240905212607/https://aibusiness.com/nlp/mistral-ai-s-new-language-model-aims-for-open-source-supremacy |url-status=live }}</ref><ref>{{Cite web |last=Edwards |first=Benj |date=2024-02-22 |title=Stability announces Stable Diffusion 3, a next-gen AI image generator |url=https://arstechnica.com/information-technology/2024/02/stability-announces-stable-diffusion-3-a-next-gen-ai-image-generator |access-date=2024-04-14 |website=Ars Technica |archive-date=5 October 2024 |archive-url=https://web.archive.org/web/20241005170201/https://arstechnica.com/information-technology/2024/02/stability-announces-stable-diffusion-3-a-next-gen-ai-image-generator/ |url-status=live }}</ref> meaning that their architecture and trained parameters (the "weights") are publicly available. Open-weight models can be freely [[Fine-tuning (deep learning)|fine-tuned]], which allows companies to specialize them with their own data and for their own use-case.<ref>{{Cite news |last=Marshall |first=Matt |date=January 29, 2024 |title=How enterprises are using open source LLMs: 16 examples |url=https://venturebeat.com/ai/how-enterprises-are-using-open-source-llms-16-examples |work=VentureBeat |access-date=5 October 2024 |archive-date=26 September 2024 |archive-url=https://web.archive.org/web/20240926171131/https://venturebeat.com/ai/how-enterprises-are-using-open-source-llms-16-examples/ |url-status=live }}</ref> Open-weight models are useful for research and innovation but can also be misused. Since they can be fine-tuned, any built-in security measure, such as objecting to harmful requests, can be trained away until it becomes ineffective. Some researchers warn that future AI models may develop dangerous capabilities (such as the potential to drastically facilitate [[bioterrorism]]) and that once released on the Internet, they cannot be deleted everywhere if needed. They recommend pre-release audits and cost-benefit analyses.<ref>{{Cite web |last=Piper |first=Kelsey |date=2024-02-02 |title=Should we make our most powerful AI models open source to all? |url=https://www.vox.com/future-perfect/2024/2/2/24058484/open-source-artificial-intelligence-ai-risk-meta-llama-2-chatgpt-openai-deepfake |access-date=2024-04-14 |website=Vox |archive-date=5 October 2024 |archive-url=https://web.archive.org/web/20241005170204/https://www.vox.com/future-perfect/2024/2/2/24058484/open-source-artificial-intelligence-ai-risk-meta-llama-2-chatgpt-openai-deepfake |url-status=live }}</ref>
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