Rake

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.

No, it should be scrapped because it's a massive load of horse shit built up out of thirty years of lies, data manipulation, political virtue signalling and power grabs, and now the huge amount of money washing around 'green energy' grifters and politicians. In fact, it's climate "science" that has the deleterious 'feedback systems' and not the climate.

Today, the Foundation’s Board released the EF Mandate. This document, which was first intended for EF members, reaffirms the promise of Ethereum, and the role of EF within this ecosystem.

Google Search and Gemini might converge. Or diverge. Or get replaced by a third product nobody's seen yet. Google's own head of Search said this publicly this week. According to Search Engine Land, Liz Reid was asked whether Search and Gemini are merging. Her answer was essentially "maybe, maybe not, who knows." She drew a distinction between the two right now: Search is about connecting people to the web, Gemini is more about productivity and creation. But she also said the lines are fluid and could go either direction. She even floated the idea that agents could make both products obsolete and a third product takes over entirely. What does this mean for SEO? Stop building your entire traffic strategy around one channel. The businesses that will be fine are the ones showing up across Search, AI Overviews, Gemini, ChatGPT, and whatever comes next, because at this point nobody, including Google, knows which one wins. The fundamentals still hold. Real authority, quality content, brand signals. Those travel across platforms regardless of what Google decides to do with its product lineup. What's your current split between traditional search traffic and AI traffic? Curious where people are at right now.