Dipti Sharma

AI & Tech Enthusiast | Helping Brands in Product Launch | DM/Email to Collab📩 [email protected]

[Dipti Sharma @Diptish09]

AI video generation just took a huge step forward.

@openart_ai introduced Vibe Directing.

You don't need complicated workflows anymore.

Describe your vision in plain English, and it creates up to 5 minutes of consistent footage that actually maintains the same look, characters, and storytelling.

The results are surprisingly good.

Here are five examples:

[Dipti Sharma @Diptish09]

Some launches introduce better models. Others strengthen an entire ecosystem.

LingBot-Video feels like the latter.

Open source.

Built for robotics.

Designed to scale.

Big credit to the team for making embodied AI more accessible to developers and researchers.

[Dipti Sharma @Diptish09]

The next AI race won't be about generating better videos. It'll be about building better worlds for developers.

Reactor's LingBot 2.0 is exactly the kind of launch that shifts that conversation.

Real-time world models.

Live interaction.

API-first.

I like that the team is building infrastructure instead of another consumer AI tool. That's how entirely new ecosystems usually begin.

[Dipti Sharma @Diptish09]

The easiest path is adapting what already exists. The harder path is starting from first principles.

LingBot-VA 2.0 chose the harder path.

Built embodied-native.

Future-aware.

Real-time control.

I think that’s exactly what makes this release stand out. The LingBot team didn’t retrofit a video model.

They built an architecture around robotics from day one.

[Robbyant @robbyant_brain]

🤖Robots that think ahead and act in real time.

LingBot-VA 2.0 — the first embodied-native foundation model. Not fine-tuned from a video generator. Built from scratch for the physical world.

✅ 93.6% success on bimanual tasks
⚡ 150 Hz single-GPU inference
🎯 20 demos to generalize.

This is what happens when you stop adapting and start building natively. 🧵👇

[Dipti Sharma @Diptish09]

@robbyant_brain LingBot-VA 2.0 proves that purpose-built architecture still wins.

[Robbyant @robbyant_brain]

🤖Robots that think ahead and act in real time.

LingBot-VA 2.0 — the first embodied-native foundation model. Not fine-tuned from a video generator. Built from scratch for the physical world.

✅ 93.6% success on bimanual tasks
⚡ 150 Hz single-GPU inference
🎯 20 demos to generalize.

This is what happens when you stop adapting and start building natively. 🧵👇

[Dipti Sharma @Diptish09]

@cresta Exactly!!

For me, the equation is simple: More scenarios = Better decisions.

[Cresta @cresta]

Live customer conversations are no place for agents to learn on the job.

Cresta Training Simulator replaces scripted role-play with live, dynamic AI simulations that help human agents practice before going live.

Learn more ➡️ https://t.co/1AKsZBRfyD

[Dipti Sharma @Diptish09]

Most world models generate scenes. LingBot-World 2.0 (Infinity) keeps the world alive.

No quality drift.

Rich interactions.

Director Agent.

That's a fascinating direction, and a strong example of how Reactor continues to push the category forward.

[Robbyant @robbyant_brain]

🌍 10 minutes was just the beginning. What if a world model could run forever — responding to your every action, generating new events, and never losing coherence?

Today, we open-source LingBot-World 2.0 (Infinity) 🔥

The first interactive world model with:
🔷 Hour-long generation with zero quality drift
🔷 Rich actions & events — attack, cast spells, shoot, summon storms
🔷 Agentic world — a Director Agent drives real-time world evolution

720p/60fps. Playable like a game. 🎮 Try it now on @reactorworld — or deploy it yourself with SGLang day-0 support. @lmsysorg

#WorldModel #EmbodiedAI #OpenSource #Robotics

[Dipti Sharma @Diptish09]

@robbyant_brain The Director Agent completely changes how I think about world models.

[Dipti Sharma @Diptish09]

@reactorworld The best platforms don't just create content. They enable other people to create entirely new experiences. Reactor is clearly thinking long-term here.

Kudos, team

[Dipti Sharma @Diptish09]

The next AI race won't be about generating better videos. It'll be about building better worlds for developers.

Reactor's LingBot 2.0 is exactly the kind of launch that shifts that conversation.

Real-time world models.

Live interaction.

API-first.

I like that the team is building infrastructure instead of another consumer AI tool. That's how entirely new ecosystems usually begin.

[reactor @reactorworld]

🚀 Introducing Lingbot-World-2, our newest real-time world model.

Richer interactivity, sharper visuals, and advanced camera controls that make exploring what you create feel truly alive.

Available today via API, exclusively on Reactor.

Try it now: https://t.co/rRGqMrhvea

[reactor @reactorworld]

🚀 Introducing Lingbot-World-2, our newest real-time world model.

Richer interactivity, sharper visuals, and advanced camera controls that make exploring what you create feel truly alive.

Available today via API, exclusively on Reactor.

Try it now: https://t.co/rRGqMrhvea

[Dipti Sharma @Diptish09]

@ChangChen_CC LingBot-Video stands out because the vision is just as strong as the technology.

[Chang Chen @ChangChen_CC]

Open source, MoE-based video model with real-world physics consistency.

[Dipti Sharma @Diptish09]

@robbyant_brain Most video models learn how scenes look.

LingBot-Video is teaching robots how the world behaves.

That’s a much more interesting problem to solve.

[Dipti Sharma @Diptish09]

Some launches introduce better models. Others strengthen an entire ecosystem.

LingBot-Video feels like the latter.

Open source.

Built for robotics.

Designed to scale.

Big credit to the team for making embodied AI more accessible to developers and researchers.

[Robbyant @robbyant_brain]

Today we open-source LingBot-Video — the first MoE-based video foundation model built for embodied intelligence.
🔹30B params, only 3B active at inference.
🔹Augmented with 70K hours of embodied data on top of large-scale internet video pretraining.
🔹Already outperforming Wan2.6, Seedance 1.5 Pro, and Cosmos3 Super on RBench.
🧵👇

[Robbyant @robbyant_brain]

Today we open-source LingBot-Video — the first MoE-based video foundation model built for embodied intelligence.
🔹30B params, only 3B active at inference.
🔹Augmented with 70K hours of embodied data on top of large-scale internet video pretraining.
🔹Already outperforming Wan2.6, Seedance 1.5 Pro, and Cosmos3 Super on RBench.
🧵👇

[Dipti Sharma @Diptish09]

@huang_song_ Exceptional thinking. Solving the invisible work behind writing is a much bigger challenge than it looks.