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🎮 This entire Avo Lawn game was built with Muse Spark 1.2 + Muse Code. 🥑 Now it’s your turn—use Muse Spark 1.2 to build your own game and see what you can create. To play: Check out our blog post:

42,871 просмотров • 1 месяц назад •via X (Twitter)

Комментарии: 9

Фото профиля Claire Zhou
Claire Zhou1 месяц назад

so much fun!

Фото профиля Pete
Pete1 месяц назад

What looks to be a clone of a very popular game? 😬😬😬 maybe run past legal

Фото профиля 404 Opinions
404 Opinions1 месяц назад

built a game with muse spark 1.2 what they meant: we finally found a way to make you pay for code that writes itself

Фото профиля Fahad
Fahad1 месяц назад

AVO LAWN DEFENDED! You survived the Guac-pocalypse!

Фото профиля 阿北的 Agent 周末
阿北的 Agent 周末1 месяц назад

用AI做游戏现在这么顺了?我得去试试这个Muse Spark,看能不能搞个小demo出来,哈哈。

Фото профиля Gargeya
Gargeya1 месяц назад

I am facing a muse code installation problem on my mac. Says file not found?

Фото профиля RIDER SKETCH
RIDER SKETCH1 месяц назад

Epic game!!!!

Фото профиля Ömer Hamid Kamışlı 🇹🇷
Ömer Hamid Kamışlı 🇹🇷1 месяц назад

I love 🥑

Фото профиля AI Mastery Guide
AI Mastery Guide1 месяц назад

A full tower defense game built entirely by an agent is wild to see.

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gemini 3.7 flash vs deepseek v4 pro 0813 vs muse spark 1.2 – on voxel city dioramas three models each built three crossy road-style 3d scenes – a construction site, a nyc intersection, a river with a drawbridge – as single self-contained html files the setup: Nous Research's hermes agent cli on OpenRouter, three.js skills preloaded, identical prompts per scene tasks: 1. construction site – tower crane on a working lift loop, paver laying fresh road, roller compacting it behind 2. nyc crossing – four-way intersection with a traffic light state machine, queuing cars, pedestrians crossing on the walk signal 3. river drawbridge – double-leaf bascule that lifts for tall boats, cars queuing at the barriers, animated water every scene: Three.js r185, box geometry only, a locked 20-color palette, four camera presets, and a day/night mode with bloom. one file, no build step, no assets models: Google DeepMind gemini 3.7 flash, DeepSeek v4 pro 0813, AI at Meta muse spark 1.2 muse and gemini finished every scene in two to three minutes. deepseek took 15 to 41 minutes per scene - build time, all three scenes #1 gemini 3.7 flash – 6m 43s #2 muse spark 1.2 – 7m 20s #3 deepseek v4 pro – 91m 25s - total tokens #1 muse spark 1.2 – 440,279 #2 gemini 3.7 flash – 713,855 #3 deepseek v4 pro – 20,957,568 - total price #1 muse spark 1.2 – $0.53 #2 gemini 3.7 flash – $0.56 #3 deepseek v4 pro – $4.57 - agent calls across the three builds #1 muse spark 1.2 – 12 #2 gemini 3.7 flash – 18 #3 deepseek v4 pro – 143 observations: • muse won two of the three scenes on looks with the smallest files in the test – 887 to 1,042 lines against gemini's 1,934 to 2,377. cheapest, fastest to a good frame, and shortest turned out to be the same column • deepseek burned 20.96m tokens – 29x gemini, 48x muse – across 143 agent calls. prompt caching is the only reason that cost $4.57: the cache discount absorbed roughly $30 of resent context • gemini was the only model whose files needed zero fixes to render – and the only one whose night mode is cosmetic. the sky never darkens and one camera button does nothing. clean code for a scene it never looked at follow thehype. for 24/7 ai news, analysis and breakdowns

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29,033 просмотров • 1 месяц назад