Ron C

Little known fact. Our DNA runs through robotics, early NLP systems, and human–AI behavior and cognition since 2014. We do not chase narrative bandwagons. We are founders who have built deep conviction in this space for over a decade.

Just got back! @inference_labs has something big to announce very soon 👀

Announced the partnership 14 days ago. Since then, we have compiled arithmetic circuits for Score’s public HuggingFace models and deployed them on SN2. The team keeps shipping.

Well it was fun while it lasted. Licensing will change in less than a year.

MiniMax M2.5-HighSpeed⚡is live! 100 TPS — enjoy the 3× speed. In the 48 hours since launch, thank you all for your incredible support and love for MiniMax M2.5! Designed for the next generation of Agent applications, we’ve officially launched MiniMax-M2.5-HighSpeed. Delivering blazing-fast inference at 100 TPS — 3× faster than similar models. Supports both API integration and Coding workflows. Choose from Plus, Max, or Ultra plans. Invite friends and enjoy 10% off instantly. Wishing you all Happy Chinese New Year! May the 🐎 year bring speed, scale, and breakthrough luck. 🚀

Vouching for @R3ACHNTWRK and @Topdog2222_. @inference_labs has been working with them post InfoFi and it's been refreshing to find an agency that can execute but also champions of integrity.

.@inference_labs 要搞两个线下活动，一个演讲一个实操工作坊。 在加拿大多伦多，2月10号，他们家的@sudo_ron 会去演讲，主要聊AI驱动的决策、预测市场，还有随着机器在各个市场和媒体里参与度越来越高，可验证基础设施起到的作用，不用懂太多专业术语，就是跟大家分享这方面的思路。 第二个活动在阿联酋阿布扎比，2月12号，@colingagich 会主持一个实操的预测市场工作坊。 全程由他带队，教大家预测市场到底怎么运作、实际能用到哪些地方，还有开发者们怎么开始尝试做相关的东西，不是光听理论，能上手了解。 能看出来@inference_labs 这波是想通过线下活动，让更多人了解AI和预测市场的相关内容，不管是想听演讲了解思路，还是想参加工作坊学实操，感兴趣的都可以多留意下。 #VerifiableAI #zkML #InferenceLabs @inference_labs

Looking forward to this tonight!

@taoswap_org Emissions don’t take weekends off either 😏

Weekends? 🌘 > bittensor.check("weekends") ERROR: feature not implemented TaoSwap Update: v1.2.14 → v1.2.20 Swap - TAO equivalent (≈ X.XXXX τ) now displayed next to USD for alpha tokens - Refreshed button design with subtle orange gradient - Balances now auto-refresh after MEV Shield inner transaction completes Validator Explorer - Monitoring rows are now color-coded: red (pulse) for critical issues, orange for warnings - Smarter filtering, no more false "no data" when prices are loading - Adaptive description sizing + single-line title with ellipsis - Netuid badges are now more visible Wallet & UI - Wallet dialog redesigned with individual borders per extension - Header elements resized for better spacing - Connect Wallet button refreshed across all pages - Search hint updated with mobile-friendly instructions Backend - Multiple optimizations implemented to reduce latency - Cache size reduced to enable faster updates Archive - Additional node added to improve traffic handling and responsiveness of the wss://archive.minersunion.ai endpoint Follow-up status: taoswap.org/status Live on taoswap.org

There are an estimated 30 billion cameras in the world. Even with 1 million people reviewing footage nonstop, it would take 82 years to review a single day. We have faced this reality with the FAA and Nav Canada. Intelligence at the edge is the only way to scale, and that intelligence must be verified. Excited to be working with @MaxScore and his team 🤝

😆

Without cryptographic proofs or verifiable execution, you are not interacting with a model. You are interacting with a policy layer that can change at any time.

This is not just an OpenAI issue. This is the default outcome of closed inference without guarantees. Others will follow because the incentives are obvious.

OpenAI is retiring the model picker and several models like GPT-4o and GPT-4.1. The stated reason sounds harmless. The real implications are not 👇 openai.com/index/retiring…

Using computation instead of a central authority

@elonmusk Sol needs some fucking freedom

China’s incredible growth in solar power and electric vehicles will greatly reduce its dependence on oil & gas

@markjeffrey @opendansor @hudsongrae_me @inference_labs @markjeffrey your intuition and understanding of DSperse SN2 is 🎯

Hash Rate - Ep. 155: DSperse Subnet 2: 'SSL for AI' 🧙 Guest: @opendansor and @hudsongrae_me @inference_labs ZK 'Proof of Inference' - Know for certain what model produced your result. 00:00 Introduction 02:06 The Evolution of SN2 Omron -> DSperse 14:48 The Origin Story of Inference Labs 22:44 Compiling Models into ZK Circuits 25:27 Optimizing Model Efficiency through Slicing 30:06 Computer Vision Applications 46:09 Early Customer Engagement and Use Cases

@CryptoZPunisher @const_reborn I was travelling and helping present at a University seminar. Here's our response discord.com/channels/79967…

$TAO Bittensor transparency Apparently, having a doxxed team is no longer enough. Based on my latest information, someone is not telling the truth. This is not my personal interpretation, it’s a position expressed by @const_reborn , and it is now directly reflected in the SN2 charter. @sudo_ron As a result, I will start flagging on Magellan the teams that hold, or attempt to conceal, a dual-token structure. Transparency is not optional, especially when trust and capital are being funneled. Out of 128 slots, with all these red flags, there may only be a handful left. Thankfully, we don’t have 256 slots… Searching, digging, and identifying long-term quality is becoming increasingly difficult. And honestly, I can’t imagine how challenging this must be for newcomers trying to enter the subnet ecosystem today. It’s time to bring out the heavy artillery. So, @inference_labs , do you have a second set of tokens or not? Or is that planned for the future?