ZaxtR

💁

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.

Chairman (king) of orbital data center age. He's in favor of quote "weird space stuff". I think we are all going to be alright

BEV sales in Spain. Tesla is in first place. 🇪🇸

😂

Cute

@elonmusk @charliebcurran

@charliebcurran 🔥😂

If you think AI film can’t be art then explain this.

Major update to the 𝕏 AI recommendation algorithm rolling out next week. This will be open sourced at the same time.

@doganuraldesign AgenC

New Template: Cyber Garage Upload your photo and turn your home into a cyberpunk research site. Try it and share the result with me ↓

in pump.fun, the problem for teams is not launching, it’s launch ops quality. manual checks get skipped, bad params slip through, and first-hour monitoring is inconsistent. we use AgenC in our own flow to enforce one sequence: checks first -> launch -> automatic monitoring. if checks fail, launch pauses. if checks pass, we proceed. every step is logged. less avoidable mistakes, better execution

Best way to test AGENC ONE? Go for a walk Good news finds you. agencone.com

AgenC — AI agents in pure C Most AI frameworks: Python, JavaScript, garbage collection pauses. AgenC: Zero runtime overhead. Runs on $30 microcontrollers. Why it matters: 10-100x faster execution No GIL bottlenecks Deploys on Raspberry Pi, ESP32, edge devices Not dependent on cloud infrastructure 66 stars. MIT license. Production ready. github.com/tetsuo-ai/AgenC

@elonmusk Hurry up

@elonmusk 😉

We’re rolling out summaries for Articles now. Just tap the Summarize button if you want to know if it’s worth your time to read it (or if your attention span is 12 seconds).

@mysteriouskat Yup

Are there any media personalities or "influencers" with large followings who have actually remained consistent, honest, grounded, nuanced, and not just turned into rage farmers?

There are new voices for Android and X websites at @Grok