https://derekwang2002.github.io/ai-intelligence/en/projects/rfd4-proteina/ Material changes in AI models, agents, engineering and infrastructure, with primary sources and recommendations. en Mon, 02 Nov 2026 16:56:00 GMT https://derekwang2002.github.io/ai-intelligence/en/events/ev-20261021-06/ ev-20261021-06-published Wed, 21 Oct 2026 15:58:23 GMT New TRIAL <p>NVIDIA and RosettaCommons released RFD4-Proteina code and ungated weights under BSD-3-Clause. The roughly 435M-parameter model co-designs protein sequence and all-atom structure, while reward-guided inference-time search branches from higher-scoring partial candidates. Public artifacts are inspectable, but quality and 1.37–1.73x BioIR speed comparisons remain publisher-reported.</p><p><strong>Why read: </strong>RFD4-Proteina publishes code, weights and test data, making its protein co-design method immediately reproducible.</p><p>Recommendation: TRIAL</p><p>Sources: <a href="https://developer.nvidia.com/blog/design-proteins-with-rfd4-proteina-using-reward-guided-inference-time-search/">RFD4-Proteina technical release</a> · <a href="https://github.com/RosettaCommons/RFD4-Proteina">RFD4-Proteina repository</a> · <a href="https://huggingface.co/nvidia/RFD4-Proteina">RFD4-Proteina weights</a></p>