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ConvAI founder says his 2025 open RL decision models anticipated TypeSafe AI’s 2026 non-autoregressive Jev launch
ConvAI Innovations founder Nandakishor Mukkunnoth argues that his 2025 arXiv papers, open weights, dataset, PyPI package, and community posts already demonstrated non-autoregressive schema-based decision models guided by reinforcement learning. He says TypeSafe AI’s 2026 Jev launch presents a similar idea as a breakthrough while offering no papers, open weights, or public training data.
Why it matters
The dispute highlights rising tension over AI attribution as startups and frontier labs converge on faster decision-focused alternatives to text-generating LLMs. If non-autoregressive decision engines gain traction, openness around papers, datasets, and benchmarks may become a key differentiator for credibility and adoption.