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Joined April 2025
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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.
Adit_Yah ☄️ retweeted
Holy… Kimi K3.1 is insane 🤯
It created an entire launch video for Kimi K3.1 using Three.js in just 5 minutes for $1.10.
WHAT A COMEBACK! 🔥
Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model.
🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal.
🔹 Full-project coding: games in Unreal, Unity & Godot.
🔹 Excels at parametric 3D modeling in Blender & CAD.
🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%.
🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks.
Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on Kimi.ai, Kimi Work, Kimi Code, and the Kimi API.
Open weights by Nov 4, 2026.
🔗 API: platform.kimi.ai
🔗 Tech blog: kimi.ai/blog/kimi-k3-1-pro
Me at 2pm on a tuesday when my manager thinks i'm "syncing with stakeholders" :
I asked Claude to build an office for the @tavus PALs...
I was not expecting it to build THAT kind of office
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
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
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 +🔊
Gemini 4 argon just dissected a 1954 leica m3 in pure code
> 81 solid parts. 34 assemblies. re-shaded every frame in pure svg
> sub-frame motion blur on the explosion
> stroke the lever, unlock the 50mm f/2, explode to the brass bench
cleanest mechanical teardown a model has spit out so far. the part count and blur are both stupid precise.
all you need to build this :
xitter.cf/renproton/status/21118…
Opus 5.5 + /anatomy skill is f*cking insane for motion design but...
add /anatomy-reveal to turn Claude into premier motion design studio
• Real-size 3D models from a photo or name
• Motion-blurred reveal films, 1:1 to 16:9
• Exploded views you can take apart
send skills your Claude:
> typingmind.com/skills/annngu…
> skills.wheresryan.sh/anatomy
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
🤝 Paid partnership
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
🤝 Paid partnership
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.
Kimi K3.1 was recently spotted in 2 SGLang commits, one of which references a K3.1 deployment already running on Deepinfra
If we are getting K3.1 on the Arena this week, it might follow the same naming pattern as the previous Kimi models:
Kimi K2.5 - Kiwido
Kimi K2.6 - Kiwire
Kimi K3 - Kivine
Kimi K3.1 - ???
Adit_Yah ☄️ retweeted
MiniMax M3.1 Flash is actually insane.
I asked it to build this whale breach scene using Claude Code as the harness, and it cost just $0.25. That's roughly 8x cheaper than Astra and Sol.
I didn't expect MiniMax to be this good at 3D.
In my testing, it even beats GPT 6.1 Sol, and the result looks better than the others while costing less than DeepSeek Flash’s version.
What a comeback by MiniMax.
tried out @Aprilzz423’s skill with Gemini 4 Argon
to build a little F1 pit stop game. the fact that it comes with a hand drawn wobble slider and color toggles out of the box is so cool.
Skill link in comment .
Many asked me how to make these, so I turned it into a skill~
Colorfigures: Describe an everyday object, and Claude draws it hand-inked and isometric, with buttons that actually work.
You can also ask how something works and the skill will label the parts to explain how each part does its job.
Free and open source 👇
DeepSeek V4.1 Flash 1017 vs GEMINI 4 ARGON
after seeing some comparisons where DeepSeek was beating Argon, i had to try it myself.
Both models one shot this.
Argon took around 10 mins and used ~2% of my weekly quota.
V4.1 Flash finished in around 4 mins (free on Open Code).
DeepSeek team really cooked with this one, but i still don't think it's at Argon's level.
Then again, it's a Flash model, so it's honestly impressive.
prompt : Conversation LogBuild this image as a single-file HTML 3D scene using Three.js It's a floating donut-shaped voxel island with 7 world wonders: Christ the Redeemer, Great Wall, Taj Mahal, Petra, Colosseum, Chichén Itzá, Machu Picchu. Match the reference as closely as possible: same layout, same Minecraft-style voxel look, same colors, rivers between the regions, clouds, and the hole in the middle. Make it feel premium: soft shadows, nice lighting, slow auto-rotate, drag to orbit, scroll to zoom, subtle cloud drift and water shimmer. Keep it smooth at 60fps. Output the complete working file only.
