Sumjit

We've been testing Memory (short-term and long-term) on Perplexity for a while. The results are great, and we are rolling it out widely. You can ask personalized questions, questions about past chats, and use any model or search mode with personal context (both apps and web).

🚨NEWS: Cursor’s $50B “in-house model” is literally Kimi K2.5 with RL on top. Got caught in 24 hours >be Moonshot AI >spend hundreds of millions training Kimi K2.5 >1 trillion parameters, 15 trillion tokens, agent swarm architecture >beat GPT-5.2 and Opus 4.5 on real benchmarks >open-source it because you believe in the ecosystem >one condition: display “Kimi K2.5” if you make over $20M/month from it >Cursor takes the model >runs RL on coding tasks >ships it March 19 as “Composer 2” >blog post: “continued pretraining + scaled reinforcement learning” >zero mention of Kimi K2.5 >“our in-house models generate more code than almost any other LLMs in the world” >publishes benchmark chart >Composer 2 against Opus 4.6 and GPT-5.4 >uses the chart to justify raising at $50 billion! >less than 24 hours later >kimi dev intercepts the API response >model ID: kimi-k2p5-rl-0317-s515-fast >they didn’t even rename it >Moonshot head of pretraining runs tokenizer test >confirms: identical to Kimi’s tokenizer >publicly tags Cursor’s co-founder: “why aren’t you respecting our license?” >two more Moonshot employees post confirmations >all three posts deleted within hours >legal is now involved >but it gets worse >Cursor had Kimi K2.5 listed as a FREE model in their UI just weeks ago >users were openly using it >Feb 9: “K2.5 was in my model list. I updated and it vanished” >it vanished because Cursor pulled it from the picker, and relaunched it as their own model >Moonshot valuation: $4.3B >Cursor valuation: $50B Absolute state of Cursor.

Fei-Fei Li’s World Labs reportedly raising funding at $5B valuation, per Bloomberg. Some reports saying they will raise upto $500M. If it happens, the round would reprice World Labs from about $1B in 2024, when it raised $230M coming out of stealth. The bet is that “world models” can generate editable 3D environments that other software can build on, not just flat images or text. Earlier 3D pipelines usually start from hand-built polygon meshes, where scenes are made from lots of tiny triangles and then rendered. World Lab's Marble uses 3D Gaussian splatting (3DGS), which represents a scene as millions of semi-transparent points that can render with higher visual detail. It also outputs “collider meshes,” which are lower-detail shapes that trade looks for speed in physics and robotics simulation. Marble’s Chisel tool lets users block out objects from simple shapes and then generate styled variants, which is a step toward controllable world building. World Labs also just opened a World API so developers can generate explorable 3D worlds from text, images, and video inside apps. --- bloomberg .com/news/articles/2026-01-23/fei-fei-li-s-ai-startup-world-labs-in-funding-talks-at-5-billion-valuation