AI visionaries tend to be. A dreamer who can not dream. They are utterly engulfed within their own doctrine that their daring stabs at the truth amount to moving numbers on a plot.

M2.7 open weights coming in ~2 weeks. still actively iterating just updated a new version on yesterday — noticeably better on OpenClaw.

グーローシェーディングとデプスバッファを実装した #shapolab

Someone posted this and I'm all the way ☠️☠️

🚨NEWS: Cursor’s $50B “in-house model” is literally Kimi K2.5 with RL on top. Got caught in 24 hours >be Moonshot AI >spend hundreds of millions training Kimi K2.5 >1 trillion parameters, 15 trillion tokens, agent swarm architecture >beat GPT-5.2 and Opus 4.5 on real benchmarks

Cursor AI may be in material breach of contract with their new Composer model, which is generating buzz online for reportedly reaching Opus-level performance. It’s alleged that the new model is a fine-tuned checkpoint of Moonshot’s Kimi K2.5. If true, the original model is

I was the first person to order the GB300 computer just found out

During the iteration process, we also realized that the model's ability to recursively evolve its harness is equally critical. Our internal harness autonomously collects feedback, builds evaluation sets for internal tasks, and based on this continuously iterates on its own

I reapplied thermal paste 3 different times. Isolated the cause as not being from the cooling block. Reseated the cpu 4 times. The only possible explanation is the cpu is toast. It did smell slightly burnt suddenly under low load during a test.

I pushed my tests to hard for Hermes-Agent and trashed my CPU somehow. Literally burnt it. It's now 62ºc under no load and than overheats. Oops lol I got wayyyy to into Hermes dev. Props to @Teknium @NousResearch for making a project that has gotten me so enveloped.

𝗞-𝗺𝗲𝗮𝗻𝘀 𝗶𝘀 𝘀𝗶𝗺𝗽𝗹𝗲. 𝗠𝗮𝗸𝗶𝗻𝗴 𝗶𝘁 𝗳𝗮𝘀𝘁 𝗼𝗻 𝗚𝗣𝗨𝘀 𝗶𝘀𝗻’𝘁. That’s why we built Flash-KMeans — an IO-aware implementation of exact k-means that rethinks the algorithm around modern GPU bottlenecks. By attacking the memory bottlenecks directly,

ByteDance also implemented attention over depth. They literally combined it with sequence attention.

Leanstral is part of the Mistral Small 4 family

Tried to recreate PS’s image rotation feature inside ComfyUI - 2

If you can internalize what this plot means, how to make it, and why it's important you can get a job at any top lab

Holy: Kimi did an amazing work because it changes one of the most basic parts of how deep AI models pass information from layer to layer. Instead of blindly mixing in everything from earlier layers equally, the model can now choose which past information is actually useful for

The idea of rotating attention by 90° is sooooooo cool (credits to @Jianlin_S 's insights), and it surprisingly works. We (w/ the amazing @nathan) are so excited about this— been working on the paper for months and couldn't stop. Go give it a try. It's a drop-in replacement for

Introducing 𝑨𝒕𝒕𝒆𝒏𝒕𝒊𝒐𝒏 𝑹𝒆𝒔𝒊𝒅𝒖𝒂𝒍𝒔: Rethinking depth-wise aggregation. Residual connections have long relied on fixed, uniform accumulation. Inspired by the duality of time and depth, we introduce Attention Residuals, replacing standard depth-wise recurrence with

This @Teknium @NousResearch Hackathon for Hermes-Agent seems like fun! Gonna put my Local hardware behind it and see if i can win! Hermes-Agent LLM Lora? 🤔

Photoshop βの回転機能をAIイラストで色々試してみた。一時的に3Dメッシュ化してるっぽくて、小物配置や背景との調和がかなり便利。ちびキャラ・大人数・非人型でも一通り検証（倍速2分） #Photoshop #Adobe #AIイラスト #画像生成AI

dx8152氏のlora https://t.co/EtoaffgcVB