Free/Open Source Software tainted by LLM developers/developed by genAI boosters, along with alternatives. Fork of the repo by @gen-ai-transparency after its deletion.
Free/Open Source Software tainted by LLM developers/developed by genAI boosters, along with alternatives.
The intention of this list is to raise awareness of this technology's usage in popular software, as well as give people informed alternatives that they can reach for when they want to make decisions for themselves. This is not a list created so you can go and give these projects trouble for their decision. If you want to file a complaint about it with them, we consider that acceptable but ask that it be done respectfully and constructively.
For more information on why we think this list matters, please see Why not LLMs?.
This is a fork of a repo by the same name maintained by the @gen-ai-transparency org on Codeberg. If they make their repo available again, we will contribute back.
Suggestions for alternative programming languages are necessarily more complex than many other categories considered here, as that's one of the core technical choices to be made when starting a new software development project.
Depending on your needs and technical concerns, you may find any number of different alternative languages useful. For example, when considering alternatives to .NET, Java or Scala may be interesting candidates from the perspective of being similar VM-based frameworks, while Python or Rust may be interesting alternatives in other ways.
espeak still exists, but is heavily outdated and very bad from a modern standpoint, so it cannot be considered as an alternative. flite users may also wish to install speech-dispatcher-flite.
Use official KeePass 2. It is a .NET application, but Mono or Wine can be used for Linux, MacOS, BSD, ... KeePassXC 2.7.9 was released before the statement, and was awarded 3 year security Visa by the French National Cybersecurity Agency (ANSSI) for a First-level Security Certification (CSPN), valid in France and Germany, under report No. ANSSI-CSPN-2025/16 (archive.org, certificate).
Could use some help writing this with concrete receipts on environmental, social, political, and economic/labor harms.
Legal Ramifications
LLMs are often trained on, and thus prone to, regurgitate either completely, or in-part, chunks of code that are licensed under terms which have specific legal requirements that a sloperator may not understand or even be aware of when making a contribution. Regardless of this ignorance, it falls to the repo's owner to comply with the terms of any and all licensed code integrated into their project.
Environmental Impact
To start learning a bit more, you can checkout the wikipedia page on Environmental impact of artificial intelligence. We're very open to people contributing other explanations, links, and resources to learn more about this.
