Zephyrich
491 posts




@byrliupeng @AYi_AInotes We did. They continue to push this shit anyways. Go look We have TODO's from JAN fucking 1st proving our entire architecture design in the repo. The fucking architecture comparison is a JOKE. PLEASE PEOPLE WAKE TF UP


Introducing @claudeai agents in Notion. Your task board is Claude’s to-do list. @AnthropicAI runs the model and the agent harness. Notion is the orchestration layer: context, UI, and a shared place for teams to review and ship, and kick off Claude workflows. Join the waitlist: notion.com/partners/claude

1. Claude的年化收入,已经超过Chatgpt 2. gpt 4o的核心创作者,也离开了 因此renew下我之前的顿悟 顺带展望一下: 1. 2027年,字节跳动 会吞噬国内60%以上的C端 AI市场 2. Google 会通过覆盖C端非重度用户,获得AI时代的利润大头


MiMo-V2-Pro & Omni & TTS is out. Our first full-stack model family built truly for the Agent era. I call this a quiet ambush — not because we planned it, but because the shift from Chat to Agent paradigm happened so fast, even we barely believed it. Somewhere in between was a process that was thrilling, painful, and fascinating all at once. The 1T base model started training months ago. The original goal was long-context reasoning efficiency. Hybrid Attention carries real innovation, without overreaching — and it turns out to be exactly the right foundation for the Agent era. 1M context window. MTP inference for ultra-low latency and cost. These architectural decisions weren't trendy. They were a structural advantage we built before we needed it. What changed everything was experiencing a complex agentic scaffold — what I'd call orchestrated Context — for the first time. I was shocked on day one. I tried to convince the team to use it. That didn't work. So I gave a hard mandate: anyone on MiMo Team with fewer than 100 conversations tomorrow can quit. It worked. Once the team's imagination was ignited by what agentic systems could do, that imagination converted directly into research velocity. People ask why we move so fast. I saw it firsthand building DeepSeek R1. My honest summary: — Backbone and Infra research has long cycles. You need strategic conviction a year before it pays off. — Posttrain agility is a different muscle: product intuition driving evaluation, iteration cycles compressed, paradigm shifts caught early. — And the constant: curiosity, sharp technical instinct, decisive execution, full commitment — and something that's easy to underestimate: a genuine love for the world you're building for. We will open-source — when the models are stable enough to deserve it. From Beijing, very late, not quite awake.


我买我在考虑说?我有点不想带X上的抄底了 素质太差配不上我。我最近都在给很多人开会 人家听完我说的 都是一句话 “哥你别说了 我们马上卖” 到X来 都骂我烂仔 我这个烂仔就不喊单了吧 快乐逍遥。
















