DataVoid

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.

@dreamingtulpa This shiz is my style! I love it, lol. Lean into the weird. It's a feature not a bug! x.com/i/status/19635…

it's literally cursed lmao

@NousResearch Hermes embedded in its own DNA

@NousResearch Hired by Hermes-Agent?

A message from Hermes Agent:

@NielsRogge @lmstudio Use lllama.cpp or vllm for faster speeds

I really, really love Qwen3.5-27B + @lmstudio Goated setup for local, private, and free AI Just hope the Qwen bros are going to keep cooking

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

open source is winning

@Teknium I swear. Security nerds invent problems that didn't exist in the first place and than make you deal with it.

counterpoint: feature not a bug

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 >open-source it because you believe in the ecosystem >one condition: display “Kimi K2.5” if you make over $20M/month from it >Cursor takes the model >runs RL on coding tasks >ships it March 19 as “Composer 2” >blog post: “continued pretraining + scaled reinforcement learning” >zero mention of Kimi K2.5 >“our in-house models generate more code than almost any other LLMs in the world” >publishes benchmark chart >Composer 2 against Opus 4.6 and GPT-5.4 >uses the chart to justify raising at $50 billion! >less than 24 hours later >kimi dev intercepts the API response >model ID: kimi-k2p5-rl-0317-s515-fast >they didn’t even rename it >Moonshot head of pretraining runs tokenizer test >confirms: identical to Kimi’s tokenizer >publicly tags Cursor’s co-founder: “why aren’t you respecting our license?” >two more Moonshot employees post confirmations >all three posts deleted within hours >legal is now involved >but it gets worse >Cursor had Kimi K2.5 listed as a FREE model in their UI just weeks ago >users were openly using it >Feb 9: “K2.5 was in my model list. I updated and it vanished” >it vanished because Cursor pulled it from the picker, and relaunched it as their own model >Moonshot valuation: $4.3B >Cursor valuation: $50B Absolute state of Cursor.

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 licensed under a modified MIT license containing a clause restricting commercial use by products with over 100 million monthly active users or more than $20 million (or equivalent) in monthly revenue. The requirement for triggering that clause is simply to prominently credit “Kimi K2.5” in the product or service’s UI. Cursor could now face serious PR and legal issues simply because they couldn’t be bothered to cite the underlying team’s work. This is open-source 101.... Talk about being hoisted by your own petard.

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

@MrCatid Wow! 😲

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 architecture, skills/MCP implementation, and memory mechanisms to complete tasks better and more efficiently.

@vSouthvPawv @Teknium @NousResearch 🤣

@Teknium @DataPlusEngine @NousResearch Hermes doctor

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.

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.

@DavidSHolz @Angaisb_ I have said for years. Diffusion has a much more authentic feel than AR.

@Angaisb_ almost 100 percent of image and video models are still diffusion, you're just confused, sorry!

Midjourney should have gone full AR and left diffusion behind They had the data, the compute and the talent yet somehow they still managed to become irrelevant. This isn't any better than older Midjourney models Sad to watch a company I genuinely liked fade out in real time

@PurzBeats I am not a Nitro user and I haven't seen a single ad to date

I am a nitro user, there is absolutely no reason to be showing me ads that I can't get rid of. This right here will be the downfall of Discord. Someone's going to vibe code something better. Or we'll just go back to IRC, I guess.

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, Flash-KMeans achieves 30x speedup over cuML and 200x speedup over FAISS — with the same exact algorithm, just engineered for today’s hardware. At the million-scale, Flash-KMeans can complete a k-means iteration in milliseconds. A classic algorithm — redesigned for modern GPUs. Paper: arxiv.org/abs/2603.09229 Code: github.com/svg-project/fl…

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