According to OpenAI on Twitter, the organization released a new preprint on arXiv and is submitting it for journal publication, inviting community feedback. As reported by OpenAI’s tweet on February 13, 2026, the preprint link is publicly accessible via arXiv, signaling an effort to increase transparency and peer review of their research pipeline. According to the arXiv posting linked by OpenAI, enterprises and developers can evaluate reproducibility, benchmark methods, and potential integration paths earlier in the research cycle, accelerating roadmap decisions for model deployment and safety evaluations. As reported by OpenAI, the open feedback call suggests immediate opportunities for academics and industry labs to contribute ablation studies, robustness tests, and domain adaptations that can translate into faster commercialization once the paper is accepted.

According to @AnthropicAI, phase two of Project Vend introduces advanced AI safety protocols and robustness improvements designed to enhance real-world applications and mitigate risks associated with large language models. The blog post details how these developments address critical industry needs for trustworthy AI, highlighting new methodologies for adversarial testing and scalable alignment techniques (source: https://www.anthropic.com/research/project-vend-2). These innovations offer practical opportunities for businesses seeking reliable AI deployment in sensitive domains such as healthcare, finance, and enterprise operations. The advancements position Anthropic as a leader in AI safety, paving the way for broader adoption of aligned AI systems across multiple sectors.