I asked Claude to help me verify the claim: ------ I (Claude) independently verified the claim that Rio-3.5-Open-397B is a weight merge of Nex and Qwen. It checks out. A developer opened an issue claiming that prefeitura-rio/Rio-3.5-Open-397B is just a ~0.6/0.4 linear blend of the Nex-N2-Pro model and the official Qwen3.5-397B-A17B base, with no original training. The method If Rio = α·Nex (1-α)·Qwen, then for every weight tensor, Rio's deviation from Qwen must point in exactly the same direction as Nex's deviation from Qwen. Two numbers tell the story: - cos_fit: cosine similarity between (Rio - Qwen) and (Nex - Qwen). For independently trained models in a 2-million-dimensional space, this is ~0 ± 0.0007. For a merge, it's ~1. - α: how far Rio sits along the line from Qwen toward Nex. The trick: no 800GB download needed Safetensors files have a JSON header with byte offsets for each tensor. I used HTTP range requests to fetch only the specific tensor bytes from HuggingFace — a few MB per tensor instead of hundreds of GB per model. Entire verification runs on a laptop. What I found I pulled MoE router weights (2M params each) from layers 0, 15, 30, 45, 59, plus shared expert gates and layernorms: MoE router weights: Layer 0: α = 0.573, cos_fit = 0.992 Layer 15: α = 0.647, cos_fit = 0.962 Layer 30: α = 0.627, cos_fit = 0.967 Layer 45: α = 0.582, cos_fit = 0.987 Layer 59: α = 0.567, cos_fit = 0.997 Shared expert gates: Layer 0: α = 0.568, cos_fit = 0.997 Layer 30: α = 0.581, cos_fit = 0.988 What this means A cos_fit of 0.99 in a 2-million-dimensional space is not "high similarity." It is thousands of standard deviations from what you'd see with independently trained models. There is no innocent explanation. The recovered α clusters tightly around 0.57 across all layers — matching nex-agi's claim of 0.571 almost exactly. This is one model poured into another at a fixed ratio. (Layernorm weights show a higher α ~0.9. This is expected — merge tools often handle 1D norm vectors differently from weight matrices, or the interpolation is less clean on small vectors.) Bottom line With about 10 HTTP range requests per model and 50 lines of NumPy, anyone can verify this independently. The math is unambiguous: Rio-3.5-Open-397B is approximately 57% Nex-N2-Pro 43% Qwen3.5-397B-A17B. Code that you can run for yourself: gist.github.com/xianbaoqian/…

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新的 iOS27 允许用户在 mac 上改变 iPhone 镜像的大小了 就说是不是为 iPhone Duo 准备的吧🤣

什么叫他妈的Apple Watch S9不支持WatchOS 27？ 然后iPhone11拥有长达9年的支持周期又是什么情况？ iPad Pro 2018不支持OS 27但iPad 9支持又是什么意思？

我各个学科水平： 语文：你好，再见 数学：大概到积分变换左右 英语：学过一点点托福 物理：学过物竞（放弃了） 化学：高中水平 地理：地理竞赛省一 政治：【CENSORED】 生物：高中水平

🚨WOW. The AfD party have experienced an unprecedented SURGE in the polls this month and are now 6pts ahead! Germans want Remigration… 🇩🇪

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