70位从业者调研：各家实验室模型水平分层
阅读原文： https://t.co/XHn3uau4Y1
有 guy 找了 70 个从业者给各家模型排座次，Anthropic 和 OpenAI 并列第一梯队，DeepSeek 落后一代，结果挺真实
Chris Barber 调研了 70 位 AI 从业者，让他们给各实验室的模型代际水平分层。Anthropic 和 OpenAI 被一致认为处于 Frontier 梯队，Google DeepMind 和 xAI 被一致归为落后一代（n-1）。Moonshot（Kimi）、智谱（GLM）、DeepSeek 获过半投票归入 n-1，而阿里（Qwen）、字节（Seed）、MiniMax、腾讯（Hy）多被认为落后两代（n-2）。Apple 和 Amazon（Nova）则被一致认为落后三代以上。
阅读原文： https://t.co/XHn3uau4Y1
阅读原文： x.com/chrisbarber/st… Chris Barber @chrisbarber I asked people which tier they'd put each lab in: Frontier: - Anthropic: consensus - OpenAI: consensus n-1 (1 generation behind): - Google DeepMind: consensus - xAI: consensus - Meta (Muse Spark): over half say n-1 - Moonshot (Kimi): over half say n-1, some n-2 - Zhipu (GLM): over half say n-1, some n-2 - DeepSeek: over half say n-1, some n-2 - Thinking Machines (Inkling): leans n-1, some put n-2 n-2 (2 generations behind): - Alibaba (Qwen): leans n-2, some put n-1 - ByteDance (Seed): over half say n-2 - Xiaomi (MiMo): leans n-2, some put n-1 - MiniMax: over half say n-2, some n-1 - Tencent (Hy): over half say n-2 - NVIDIA (Nemotron): leans n-2, some put n-3+ n-3+ (3+ generations behind): - Microsoft (MAI): over half say n-3+, some n-2 - Cohere: over half say n-3+, some n-2 - Mistral: over half say n-3+ - Amazon (Nova): consensus - Apple: consensus Consensus = 75%+, over half = 51%-74%, leans = the most common pick but under half, some = 20%+. I asked 70 people. Engineers/researchers/founders at AI data cos, people at labs (I didn't count votes for their own lab), and founders/engineers at other startups. I didn't vote. 🔗 View Quoted Tweet 💬 0 🔄 0 ❤️ 0 👀 173 ⚡
