I wish. I need proof, no narrative.
Please, show data.
I think it can be measured by number of users and also by number of developments offered.
#DYOR
My initial research: ChatGPT 👇🏻
Open Source Is Winning
Enterprise Adoption: A Red Hat report indicates that enterprise open source usage is projected to increase from 29% to 34% over two years, while proprietary software is expected to decline from 45% to 37% in the same period.
AI Integration: Open source AI models, such as Meta's Llama, have been downloaded over a billion times, enabling businesses of all sizes to innovate and compete.
Government and Military Use: Government agencies and the military are increasingly adopting open-source software for infrastructure and operations, recognizing its cost-effectiveness and flexibility.
Education and Healthcare: Educational institutions and healthcare organizations are leveraging open-source software to reduce costs and improve service delivery, with examples like Colorado State University's adoption of open-source administrative systems and the use of OpenMRS in healthcare.
Verifying Open Source Deployment
Checksum Verification: Compare the checksum of the downloaded software with the provided checksum to ensure integrity.
PGP Signature Verification: Use PGP to verify the authenticity of the software by checking the digital signature against the developer's public key.
Reproducible Builds: Compile the source code yourself and compare the resulting binary with the distributed one to ensure they match.
Tools for Binary-Source Matching: Utilize tools like BinPro to assess the similarity between binaries and their source code, which can help determine if the deployed software matches the open-source code.
Code Signing Platforms: Platforms like Sigstore enable developers to sign their code, providing a way to verify that the code has not been tampered with during distribution.
Li₿ΞʁLiøη 🏴a³
npub1wp…hzs7p
2025-05-06 20:08:22
in reply to nevent1q…9j0v
Author Public Key
npub1wpzpvzfkn4m754fasp0wnt6ck20ycww4kz9nj4n5rquu9ul7a0xq4hzs7pPublished at
2025-05-06 20:08:22Event JSON
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"content": "I wish. I need proof, no narrative.\nPlease, show data. \n\nI think it can be measured by number of users and also by number of developments offered.\n\n#DYOR\n\nMy initial research: ChatGPT 👇🏻\n\nOpen Source Is Winning\n\nEnterprise Adoption: A Red Hat report indicates that enterprise open source usage is projected to increase from 29% to 34% over two years, while proprietary software is expected to decline from 45% to 37% in the same period. \n\nAI Integration: Open source AI models, such as Meta's Llama, have been downloaded over a billion times, enabling businesses of all sizes to innovate and compete. \n\nGovernment and Military Use: Government agencies and the military are increasingly adopting open-source software for infrastructure and operations, recognizing its cost-effectiveness and flexibility. \n\nEducation and Healthcare: Educational institutions and healthcare organizations are leveraging open-source software to reduce costs and improve service delivery, with examples like Colorado State University's adoption of open-source administrative systems and the use of OpenMRS in healthcare. \n\n\nVerifying Open Source Deployment\n\nChecksum Verification: Compare the checksum of the downloaded software with the provided checksum to ensure integrity. \n\nPGP Signature Verification: Use PGP to verify the authenticity of the software by checking the digital signature against the developer's public key. \n\nReproducible Builds: Compile the source code yourself and compare the resulting binary with the distributed one to ensure they match. \n\nTools for Binary-Source Matching: Utilize tools like BinPro to assess the similarity between binaries and their source code, which can help determine if the deployed software matches the open-source code. \n\nCode Signing Platforms: Platforms like Sigstore enable developers to sign their code, providing a way to verify that the code has not been tampered with during distribution. \n\n\n\n\n",
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