Enactra AI

Agentic world simulation for physical RSI

[Enactra AI @EnactraAI]

See the leap from Grok 4.6 to 4.7 for yourself🧐

Missing walls, inside-out surfaces, blurry textures… Grok 4.7 fixes much of this, producing more faithful, complete, and detailed buildings.

On BuildingBench, both at xhigh:
➤ Score: 0.696 → 0.783 (+12.5%)
➤ Median cost per building: $10.59 → $11.43 (+8%)

A substantial quality jump for a modest cost increase. It's surely a strong release! @milichab @veggie_eric @elonmusk

[Enactra AI @EnactraAI]

Grok’s leap isn’t just in coding—it’s showing up in 3D simulation, too 🏗️

Grok 4.7 (xhigh) scores 0.783 on BuildingBench, taking Grok from #9 to #3! A big jump from 4.6’s 0.695.

It now trails only GPT‑6 Astra (ultra, 0.843) and Fable 5.1 (max, 0.814).

Median cost per building: $11.43, versus Astra’s $7.11 and Fable 5.1’s $33.15. Around 66% cheaper than Fable.

Congrats @SpaceXAI and @ElonMusk! Coding agents are getting better at building the world.

[Enactra AI @EnactraAI]

@VacekvVita True. Grok 4.7 is a big leap from 4.6, while Astra still leads on both quality and cost on 3D tasks.

[Enactra AI @EnactraAI]

Grok’s leap isn’t just in coding—it’s showing up in 3D simulation, too 🏗️

Grok 4.7 (xhigh) scores 0.783 on BuildingBench, taking Grok from #9 to #3! A big jump from 4.6’s 0.695.

It now trails only GPT‑6 Astra (ultra, 0.843) and Fable 5.1 (max, 0.814).

Median cost per building: $11.43, versus Astra’s $7.11 and Fable 5.1’s $33.15. Around 66% cheaper than Fable.

Congrats @SpaceXAI and @ElonMusk! Coding agents are getting better at building the world.

[Enactra AI @EnactraAI]

@DougFulop On it!

[Enactra AI @EnactraAI]

@abdurrahmanregi 🫡🫡

[Enactra AI @EnactraAI]

@thaonlyjonathan Good point. Will add!

[Enactra AI @EnactraAI]

@aksheyd Congrats!

[Enactra AI @EnactraAI]

See the leap from Grok 4.6 to 4.7 for yourself🧐

Missing walls, inside-out surfaces, blurry textures… Grok 4.7 fixes much of this, producing more faithful, complete, and detailed buildings.

On BuildingBench, both at xhigh:
➤ Score: 0.696 → 0.783 (+12.5%)
➤ Median cost per building: $10.59 → $11.43 (+8%)

A substantial quality jump for a modest cost increase. It's surely a strong release! @milichab @veggie_eric @elonmusk

[Enactra AI @EnactraAI]

Grok’s leap isn’t just in coding—it’s showing up in 3D simulation, too 🏗️

Grok 4.7 (xhigh) scores 0.783 on BuildingBench, taking Grok from #9 to #3! A big jump from 4.6’s 0.695.

It now trails only GPT‑6 Astra (ultra, 0.843) and Fable 5.1 (max, 0.814).

Median cost per building: $11.43, versus Astra’s $7.11 and Fable 5.1’s $33.15. Around 66% cheaper than Fable.

Congrats @SpaceXAI and @ElonMusk! Coding agents are getting better at building the world.

[Enactra AI @EnactraAI]

@minchoi Also big improvement on 3D BuildingBench:

https://t.co/srioezG7Gm

[Enactra AI @EnactraAI]

See the leap from Grok 4.6 to 4.7 for yourself🧐

Missing walls, inside-out surfaces, blurry textures… Grok 4.7 fixes much of this, producing more faithful, complete, and detailed buildings.

On BuildingBench, both at xhigh:
➤ Score: 0.696 → 0.783 (+12.5%)
➤ Median cost per building: $10.59 → $11.43 (+8%)

A substantial quality jump for a modest cost increase. It's surely a strong release! @milichab @veggie_eric @elonmusk

[Enactra AI @EnactraAI]

@DmitriyLeybel and some interesting visualization :)

[Enactra AI @EnactraAI]

See the leap from Grok 4.6 to 4.7 for yourself🧐

Missing walls, inside-out surfaces, blurry textures… Grok 4.7 fixes much of this, producing more faithful, complete, and detailed buildings.

On BuildingBench, both at xhigh:
➤ Score: 0.696 → 0.783 (+12.5%)
➤ Median cost per building: $10.59 → $11.43 (+8%)

A substantial quality jump for a modest cost increase. It's surely a strong release! @milichab @veggie_eric @elonmusk

[Enactra AI @EnactraAI]

@ALX23uz None of these

[Enactra AI @EnactraAI]

@ALX23uz The input is just a task instruction and four photographs of the building. We use each model’s native harness, such as Grok Build for Grok, with no additional custom agent harness.

Check out our blog and GitHub for the full setup!

[Enactra AI @EnactraAI]

Explore BuildingBench 🏗️:

📖 Blog: https://t.co/y3i3vzdTsY

🏆 Interactive leaderboard: https://t.co/FCK20HwPiZ

💻 GitHub: https://t.co/F5TIlIoqmq

Inspect the buildings behind the scores. 🕹️

[Cyrkaur @cyrkaur]

@DarthJML Building bench seems to be a benchmark more down that alley.

https://t.co/sgL11NREjy

[Enactra AI @EnactraAI]

@aaapinen Yes. Grok 4.7 is more cost-effective than Fable, though Astra still leads on both quality and cost.

[Enactra AI @EnactraAI]

@steipete Nice! Relevant work from us: and Fable playing Tag Game in real-time

https://t.co/4uJsAl73Rp

[Enactra AI @EnactraAI]

Astra vs. Fable 5.1: tag, you’re it! 🏃🗽

Tag Game, all in real time, in the NYC simulation Astra itself created.

The catch? The world doesn’t pause while they think. Cue some awkward collisions with pedestrians and cars 😂

Frontier agents are stepping into embodied worlds, and a simple game of tag puts spatial awareness, planning, opponent prediction, and timely reactions to the test. Skills they’ll need to thrive beyond the chat or coding window.

Watch Fable 5.1 beat Astra 2-1 👑👀

[Enactra AI @EnactraAI]

@g0kul_6 Agreed! Yet the most interesting part in this example is that the game environment itself was created by Astra

[Enactra AI @EnactraAI]

Astra vs. Fable 5.1: tag, you’re it! 🏃🗽

Tag Game, all in real time, in the NYC simulation Astra itself created.

The catch? The world doesn’t pause while they think. Cue some awkward collisions with pedestrians and cars 😂

Frontier agents are stepping into embodied worlds, and a simple game of tag puts spatial awareness, planning, opponent prediction, and timely reactions to the test. Skills they’ll need to thrive beyond the chat or coding window.

Watch Fable 5.1 beat Astra 2-1 👑👀

[Enactra AI @EnactraAI]

New episode of Running Man 🏃

DeepSeek V4.1 Flash vs. Union Alpha—three real-time rounds through simulated NYC.

Final score: 3–0. No spoilers—watch to see who gets swept 😂

Which model should join the battle next? 👉

[Enactra AI @EnactraAI]

Astra vs. Fable 5.1: tag, you’re it! 🏃🗽

Tag Game, all in real time, in the NYC simulation Astra itself created.

The catch? The world doesn’t pause while they think. Cue some awkward collisions with pedestrians and cars 😂

Frontier agents are stepping into embodied worlds, and a simple game of tag puts spatial awareness, planning, opponent prediction, and timely reactions to the test. Skills they’ll need to thrive beyond the chat or coding window.

Watch Fable 5.1 beat Astra 2-1 👑👀

[Zhiting Hu @ZhitingHu]

Fun to see coding agents being deployed in physical-world simulations for real-time tasks. The physical RSI loop is starting to run, literally. 🏃🔁

[Enactra AI @EnactraAI]

@Lianhuiq exactly!

[Lianhui Qin @Lianhuiq]

Finally—and seemingly all at once—coding agents are breaking out of the chatbox and into real-time worlds.

Can’t wait to see what they’ll achieve in a year, or maybe just a month!

[Enactra AI @EnactraAI]

@iamoonkey On it!