https://xitter.gq/t.co/CJCJStx3A6 $hype 🐋
Joined September 2023
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Vibe coded a GTA-style top-down MMO and the server is live. 🕹🔥
Used anthropic fable 5 for it
Watch the madness. Come cause some havoc with us.
Play it here: comfy-semolina-1fe13c.netlif…
#indiedev #buildinpublic #gamedev
Note pc or laptop just now as doesnt have mobile controls yet
Mr Flashy 👁️⃤ retweeted
GTA 5 has been ported ported to WebAssembly using AI. We live in the wildest timeline.
playgta5.com/
Mr Flashy 👁️⃤ retweeted
Prediction markets, meme coins and all these high dopamine things really fuck up your brain.
You win decent money and barely feel it anymore.
You lose a few $ and it destroys your mood.
Everyday normal life kinda stops making you happy.
Is it just me?
Mr Flashy 👁️⃤ retweeted
Opus 5.5 is very good at UX & all sorts of fun juicy experiments like this retro game card reveal.
Mr Flashy 👁️⃤ retweeted
We gave a fly $100 to trade on Polymarket.
It already called today’s pump in the "25 bps increase" on Fed Decision polymarket.
Every second, its next move is decided by 166,700 neurons.
Mr Flashy 👁️⃤ retweeted
I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.
Mr Flashy 👁️⃤ retweeted
i cant get enough of the minecraft beach ! its sooo good
zombie survival is going crazyy on this
Mr Flashy 👁️⃤ retweeted
GoldenEye 007 running on PC at 120 FPS + 80 FOV 👀
This is just the beginning…
🔫 Reticle colour options
🎮 Modern PC enhancements
⚙️ Smoother gameplay
🛠️ Plenty more being worked on
Project Midas is already starting to feel insane.
#GoldenEye007 #ProjectMidas #Nintendo64
Mr Flashy 👁️⃤ retweeted
Day 137 making my own TES until TES 6 comes out.
Testing_Climbing_v2_&_Fortifications_3D_models #elderscrolls #indiegamedev #pixelart #daggerfall
Mr Flashy 👁️⃤ retweeted
At this point, Three.js is probably the best graphics stack for AI-generated games.
Not because it magically produces better visuals, but because models are extremely good at reasoning directly over JavaScript, scene graphs, shaders, procedural geometry, physics integrations, and fast browser iteration.
The examples here make the case pretty clearly. Once multiple agents start building scenes in isolation and integrating them later, the ceiling gets surprisingly high.
For AI-native game development, Three.js currently feels like the path of least resistance to genuinely impressive results.
I gathered a few videos from @chetanankola in this demo and combined them.