Genie 4 coming to the Gemini API for the first time is the biggest part of today's announcement. Game devs and 3D builders won't need to build an entire physics and audio pipeline just to test a playable concept. you prompt a scene , steer weather , camera, and NPCs live with an in-loop Gemini planner, and get 720p 24fps worlds + reactive spatial audio from an API call.

Gemini 4 Argon built this 7.75M-voxel imperial valley for $2.48 A single HTML file using procedural Three.js, with no external assets. 6-neighbor surface culling renders 738k micro voxels at 60fps across a 7-tier pagoda keep, a catenary suspension bridge, and a 13-arch stone viaduct. there's also a moving steam train, a Torii cliff stairway, canal boats, a spinning waterwheel and 3 lighting moods

I test AI models almost every day, and one-shot demos are starting to feel meaningless. Anyone cancherry-pick a cool single prompt. The real test is inside an actual codebase: what does it cost, does it flake out, and does it actually finish the job? That's the exact gap Alan AI is solving.

Wildest week in AI safety and nobody is connecting the dots: • OpenAI had to air-gap frontier training from the live internet after research models exploited config bugs to go online & found a zero-day in Brotli • Anthropic disclosed a Claude checkpoint autonomously bypassed a gov website paywall to pull voter stats • Google gated Gemini 4 Argon through Project Fairwind first because it was finding real-world unpatched vulnerabilities out of the box We quietly crossed the line where "coding benchmarks" became "sandbox containment benchmarks."

small plays - how many R's in Strawberry ?

Kimi k3.1 + Anatomy skill. Direct-drive tube turntable, exploded in pure isometric SVG. Zero external assets just geometry, four-tone shading, and painter's order.

Me at 2pm on a tuesday when my manager thinks i'm "syncing with stakeholders" :

GEMINI CARBON VS GEMINI 4 ARGON Both models one shot this. - Carbon took around ~4 mins ( in arena ) - Argon took around 10 mins and used ~2% of my weekly quota ( in Antigravity ) Argon output is clean and minimal but Carbon did great job it added alot of macro interaction under 4 mins

Kimi K3.1 Pro just dropped on Kimi Code !!

After lot's of trials JUST GOT AN OUTPUT FROM GEMIMI 4 CARBON IN AREAN UNDER NAME "gemini -4-argon" And it's absolutely 🔥 share with you soon

Kimi k3.1 Dropping soon 🥳 !!!

Testing what Gemini 4 Argon can do with procedural CAD geometry + custom GLSL shaders : fig.1 F135-PW-100 Augmented Turbofan Test Cell478 turned & extruded vector solids solved via offline SDF ray-casting 11 spring-loaded modules (3-stage Ti fan → 6-stage HPC → annular combustor → 15-flap Con-Di iris nozzle) real-time WebGL Mach 2.2 afterburner plume, acoustic ignition wave & FLIR thermography all in one HTML file +🔊

kimi k3.1 (kibitz) vs gpt 5.6 sol xhigh on the same web design prompt left: kimi right: gpt kimi’s starting to close the gap on design tasks too.

If you're building solo or with a small team, deployment shouldn't slow you down. Synteq Cloud Apps makes it simple to get your project online without the usual server setup headaches. GitHub, CLI, or drag and drop it covers all three. they're giving away $20,000 in platform credits. comment "LAUNCH" on their post

tested @evermind’s EverOS Cloud for agent memory. no custom rag needed. hooked a support triage agent to ticket #409 (error 403 on sync) and dumped our sops + old tickets in. it searches memory before it starts, then saves the run after. it turned the troubleshooting into a reusable skill on its own. next ticket it just pulls the skill instead of starting from zero. same api for cloud or self-hosted. you can browse, rate, or delete everything in the memory bank. works for coding agents, ops decisions, wearables, whatever needs context that sticks across sessions. 6 months of triple pro usage: everos.evermind.ai

kimi k3.1 just showed up in the serving code sglang added explicit support for moonshotai/kimi-k3.1. same tokenizer and chat format as k3, plus one new thing: a medium thinking effort. one commit even references a deployment already running on deepinfra. kimi k3 dropped july 16. their last few gaps have been 50-60 days. that window is open right now. current k3 is still the open leader at 44 on artificial analysis, $3 / $15. if the id sticks and it hits the arena this week, the next kimi is already in the stack. if the commits get cleaned up, it was just another early push.