OpenAI和Anthropic现在每1-2个月发一次新版，谷歌要75天还断过154天，速度差距越来越大了。看看他们怎么用发布节奏建护城河。
OpenAI模型更新平均间隔51.8天，Claude 4到Opus 4.1用了75天，之后保持42-73天周期。谷歌Gemini系列平均75.8天，2025年曾出现154天空窗期。GPT-5到5.1间隔97天，5.1到5.2仅29天，后续稳定在28-56天。快速发布带来数据飞轮、人才迭代和开发者心智优势，成为AI竞争的结构性壁垒。
阅读原文：https://t.co/zOcjhPU8RG
阅读原文： x.com/alvinfoo/statu… Alvin Foo @alvinfoo One underrated reason Anthropic and OpenAI are pulling ahead: release velocity. Look at this timeline (data as of May 30, 2026). Major model updates from these two now land every 1-2 months on average. OpenAI sits at ~51.8 days between releases. Anthropic at ~59.8 days. Google? A slower ~75.8 days, with a painful 154-day stretch in 2025. This isn’t incremental. It’s structural. OpenAI cadence: •GPT-5 → 5.1 (97 days) •5.1 → 5.2 (29 days) •Then steady 28–56 day jumps into GPT-5.5 Anthropic cadence: •Claude 4 → Opus 4.1 (75 days) •Then 42–73 day cycles, with tight Opus/Sonnet 4.6 updates and a fresh Opus 4.8 just two days before the chart cutoff. Google’s Gemini line shows bigger gaps and more “preview” placeholders. The result: OpenAI and Anthropic are compounding improvements faster, architecture tweaks, post-training, tool use, reasoning, efficiency while competitors play catch-up. In AI, shipping fast is becoming a defensible moat. Why? •Data flywheel acceleration: More frequent releases → more real-world usage → richer feedback loops → better next model. •Talent and iteration muscle: Teams that ship every 4–8 weeks build operational tempo the slower players can’t match. •Developer mindshare: Builders bet on the platform that evolves visibly week after week. •Defensibility against open-source: Rapid closed-model progress raises the bar before weights can be effectively replicated or fine-tuned. •Enterprise lock-in: Customers embed the latest capabilities into workflows and don’t want to rip them out when a laggard finally catches up six months later. Past cycles were 6–12+ months between meaningful jumps. That world is dead. The new winners treat frontier models like software: continuous delivery at scale. Google has the compute, distribution, and research depth to close this gap, if they choose to. But right now the velocity gap is real and widening. Anthropic and OpenAI are not just ahead on benchmarks; they’re ahead on tempo. Velocity compounds. Slow is the new vulnerable. What do you think, will Google match this pace by end of 2026, or does the duopoly widen? 🔗 View Quoted Tweet 💬 0 🔄 0 ❤️ 0 👀 393 ⚡