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.

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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.

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