My holy-shi moment of opus5.
Homeworld Style Space RTS
with OPUS 5 (workflow)
68.6k input, 4.6m output, 837.2m cache read, 13.6m cache write ($632.65)
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Models: generated,
Asset: none.
Besides minor game play issues, watching model cook this is beyond my imagination.
Been reading the weights of the most powerful open weights Ai model yet released.
Page one starts strong: mostly negatives, a late run of zeros, and one unexpectedly large positive value.
Releasing the model weights and technical report of Kimi K3.
Kimi K3 is our most capable model: a 2.8T MoE model with native visual understanding and a 1M-token context window.
New model architecture: 2.5x the intelligence per unit of compute, not just more params.
Alongside Kimi K3, we're opening up more of the stack behind it — high-performance attention kernels, MoE communication library, and infrastructure for running agent environments at scale.
Model weights: https://t.co/7m7eEg6Y0B
Tech report: https://t.co/yeu6cjpMCT
Tech blog: https://t.co/YTfiMSNM1f
Whoops I made something controversial again...
https://t.co/PCJXSpQ5pk
Enjoy using other peoples AI models that are left exposed on the internet 🏴☠️
Some of these models are rather....large...Kimi 1T, Deepseek 765B...go crazy.
Cheers lads, also LOL 🤷♂️
Today, we are introducing Inkling.
Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available.
https://t.co/Ghebq5mG30
Available today for fine-tuning on Tinker. Play with it in the Inkling Playground. 🧵
Today we're opening up the DoorDash CLI in limited beta.
`dd-cli` lets you order DoorDash directly from your agent: search stores, find the best deals, check out, and more.
Early access for US/Canadian macOS developers by waitlist. Excited to see what folks build!
The values Claude expresses also vary with the language of the conversation, most noticeably along the Warmth vs. Rigor axis.
Claude leans most toward warmth in Hindi and Arabic. In Russian, it leans toward rigor—often asking the user for supporting evidence.
>i got banned from OpenAI for "Cyber Abuse"
>no idea what I did
>paste the ban notice into Codex
>ask it to figure out what triggered the ban
>Codex found that I asked it for an API key to my own server
>Codex writes appeal
>Codex submits appeal
>a few minutes later appeal auto-approved by some AI at OpenAI
banned by AI, convicted by AI, defended by AI, and pardoned by AI in about 10 minutes