Jian Yang Unveils 'Not Claude' as Open-Source Counter to Proprietary AI Models

Independent AI researcher Jian Yang has unveiled a new open-source project titled Not Claude, a deliberate counterpoint to Anthropic’s commercially developed Claude series of large language models. The announcement, first shared on Reddit’s r/singularity community on April 5, 2024, includes a public GitHub repository and a conceptual framework designed to prioritize transparency, ethical training data sourcing, and community governance over proprietary control. While not a direct clone of Claude, Not Claude is positioned as a philosophically opposed alternative—emphasizing open access, verifiable training processes, and resistance to corporate monopolization of foundational AI models.

The project’s launch page, accompanied by a minimalist design and a stark logo reading ‘Not Claude,’ features a manifesto-style document outlining its core tenets: no paywalls, no corporate sponsorship, no undisclosed data pipelines, and full auditability of model weights and training logs. According to Yang’s accompanying notes, the model is currently in pre-alpha and trained on a curated subset of permissively licensed datasets, including Common Crawl, Hugging Face’s OpenWebText, and public domain literature. Unlike Claude, which relies on proprietary reinforcement learning from human feedback (RLHF) and undisclosed annotation practices, Not Claude employs only publicly documented preference alignment methods and invites community contributions to its reward modeling system.

Yang, a former research associate at a major AI lab who left the industry citing ethical concerns over commercialization, has cultivated a following among open-source advocates and AI safety researchers. In an interview with a small independent tech podcast, he stated, ‘We’re not trying to outperform Claude. We’re trying to out-ethic it.’ This sentiment resonates with a growing segment of the AI community disillusioned by the increasing opacity of leading models from companies like OpenAI, Anthropic, and Google. The launch has drawn over 12,000 upvotes on Reddit within 48 hours and has been referenced in multiple Discord servers dedicated to decentralized AI development.

While the technical specifications of Not Claude remain preliminary—its current parameter count is estimated at 7B, significantly smaller than Claude 3’s largest variant—its symbolic impact may be larger than its computational power. Critics argue that without substantial compute resources or proprietary datasets, the model cannot meaningfully compete on performance benchmarks. However, supporters contend that the project’s value lies not in beating industry leaders in win-rate metrics, but in offering a replicable, ethical blueprint for AI development that prioritizes public interest over profit.

Legal experts note that the name ‘Not Claude’ may invite trademark scrutiny from Anthropic, though Yang has reportedly consulted with open-source legal counsel and is prepared to defend the project under fair use and parody doctrines. Meanwhile, academic institutions such as the University of Toronto’s Vector Institute and the AI Ethics Lab at ETH Zurich have expressed interest in auditing the model’s training data for bias and representation gaps.

As the AI industry grapples with mounting pressure for accountability, Not Claude represents a grassroots challenge to the status quo. Whether it evolves into a viable technical alternative or remains a symbolic protest, its emergence underscores a deeper cultural rift: between those who believe AI should be a public good and those who treat it as intellectual property to be monetized. The project’s future will depend not on its performance on benchmarks, but on whether the open-source community can sustain the momentum—and the resources—to turn philosophy into practice.