Ruilong Li ✓

@ruilong_li

Research Scientist @NVIDIAAI | Ex @berkeley_ai, @GoogleAI, @RealityLabs, @USC_ICT, @Tsinghua_Uni

5 317Followers

397Following

360Posts total

106.3KViews on collected posts

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

99.1K3 Jun

1.6K

1.2K

669

599

598

607

675

441

8254 Jun

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.49%3 Jun

0.58%

0.76%

1.20%

1.34%

1.51%

1.48%

2.07%

1.36%

0.73%4 Jun

Reactions — likes, reposts, replies and quotes — divided by views.

What the audience does

Likes54.9%442 in total

Reposts10.3%83 in total

Replies2.9%23 in total

Quotes1.9%15 in total

Bookmarks30.1%242 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Latest posts

@ruilong_li Congrats! Fantastic work 825 views · 5 likes · 0 reposts · 1 replies 04 Jun 2026 The team behind this is extremely talented. I can't be more happy to work with them! Listing in random order: @jatentaki @wilson_over @jmartinezesturo @JunchenLiu77 @csyonghe, Gangzheng Tong, Jesse Archer, @mccaffrey_j_b, William Lew, @heuristic42, Aidan Foster, Wenqing Wang, 441 views · 6 likes · 0 reposts · 0 replies 03 Jun 2026 Ending this thread with a fun walk on w/ FlashDreams: Try it out and tag us with your exploration. #flashdreams https://t.co/RhFDK68tGS 675 views · 10 likes · 1 reposts · 3 replies 03 Jun 2026 FlashDreams is more than an inference engine. It is a serving stack purpose-built for interactive world-model applications, supporting persistent sessions, streaming inputs and outputs, rolling model state, and multi-GPU execution. FlashDreams already integrates eight world http 607 views · 7 likes · 1 reposts · 1 replies 03 Jun 2026 Similar to vLLM and SGLang, FlashDreams is built from the ground up for high-performance serving. FlashDreams delivers up to 2.12× speedup on Self-Forcing, 3.10× on LingBot-World, and 1.40× on Wan2.1. The system is designed specifically for autoregressive world models, where htt 598 views · 7 likes · 1 reposts · 1 replies 03 Jun 2026 Efficient serving infra like vLLM and SGLang helped move LLMs from research checkpoints into real apps. World models are reaching a similar moment, but with a different interactive pattern than LLM: initialize once, then keep evolving the world forward at a constant pace. 5/n 599 views · 6 likes · 1 reposts · 1 replies 03 Jun 2026 Serving a world model is different from offline video generation. The goal is not just prompt → wait → video. A live world-model runtime must stay responsive while the world keeps advancing: low latency, high throughput, steady streaming, and rolling state. 4/n 669 views · 6 likes · 1 reposts · 1 replies 03 Jun 2026 A world model learns to generate and evolve an environment over time: video, actions, state, audio, sensors, control signals, and more. Serving it means keeping a live session running while input, model state, GPU inference, and output evolve together. 3/n https://t.co/lckmpfgj 1.2K views · 7 likes · 1 reposts · 1 replies 03 Jun 2026 World models are quickly advancing, but for most users the experience is still passive: watching impressive promo videos, not running the models, probing them, or building applications on top of them. FlashDreams aims to change that. Spin up a server, select a model, and 1.6K views · 7 likes · 1 reposts · 1 replies 03 Jun 2026 World models are moving beyond offline generation towards interactive, real-time experiences. Introducing ⚡FlashDreams⚡: an open-source high-performance inference and serving library built for autoregressive world models: 🔥 Up to 3.10× faster LingBot-World inference 🔥 Up to htt 99.1K views · 381 likes · 76 reposts · 13 replies 03 Jun 2026

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Latest posts

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