Mr Az
2K posts

Mr Az
@MrAzTrades
Crypto & Forex Trader - Free Telegram👇🏼 | NFA |


VITALIK has mentioned VERY similar tech to this project's... And $PRXVT is still just vertically accumulating. Something tells me that a privacy-layer on Virtual's is going to go PARABOLIC 💨🔥 - Studious

OpenAI Robotics is hiring, looking for exceptional full-stack hardware, ops, systems, and ML engineers to help us program and manufacture robots that are useful for society. AI should be able to help people in the physical world. In the short term, we are focused on robots to support skilled workers to build our future infrastructure; in the long term, we imagine everyone having a personal robot doing anything they need. Our world simulation research program, led by Aditya Ramesh (@model_mechanic), has evolved over the past year into OpenAI Robotics. Progress is rapid, and based on a foundation of co-design between robotics hardware and ML research. If you love working hands-on across the robotics stack and want to build the future, please consider joining us. Send an email with your background and evidence of exceptional accomplishment to: robotics-recruiting@openai.com








I’ve Been holding this $GBPUSD position, Over the weekend. I’m expecting a gap down to TP. Let’s see.






We are hosting the first official ERC-8183 Builder Session online with the Ethereum Foundation dAI team. ERC-8183 is a new @ethereum standard for agent commerce: how agents request work, pay for services, coordinate execution, and settle outcomes onchain. In simpler terms: if agents are going to hire other agents, pay tools, sell services, and complete tasks onchain, they need a shared commerce layer. ERC-8183 is one of the first standards built for that. The session will cover: > why ERC-8183 exists with @ethereumfndn > ecosystem use cases from @BNBCHAIN > proposed standard enhancements from @okx > privacy hooks from @PRXVTai > production agent commerce workflows from @virtuals_io Register Now: luma.com/f0380wbp


Updates since then: * Deepseek v4 is out. There *is* a 2-bit quant that can run within 90 GB ( huggingface.co/antirez/deepse… ), and it works, however it's only fast on Apple hardware (I've head ~35 tok/s). On AMD, it's ~7 tok/s. IMO actually taking the effort to properly support more than one hardware manufacturer is a great example of the difference between mere "decentralized AI" and genuine "CROPS AI". I hope we can become better at this. * github.com/vbuterin/messa… also has alpha telegram support now. However, the path to adding your account is quite janky * github.com/Luce-Org/luceb… looks promising as a way to run "dense" models (eg. Qwen 27B) more efficiently. It's janky, but on my 5090 laptop it seems to be ~2x more tok/s than llama.cpp * VoxTerm (local AI recording, no third-party servers) continues to be developed github.com/dmarzzz/VoxTerm And there's a lot more projects coming on the horizon. One other thing that has been on my mind is that there's actually a lot of intersection between "CROPS ethereum access layer" and "CROPS AI". For example, we want a ZK way to make (paid) calls to remote LLMs. But if we have this, then it's just as useful for solving another problem: private RPC reads in Ethereum. Another example: application-specific finetuned LLMs. Leanstral ( mistral.ai/news/leanstral ; I get ~38 tok/s on AMD) fits into < 70 GB, but can hold its own against 1T models on writing Lean code. Things like this are a huge boon for writing more secure code ( vitalik.eth.limo/general/2026/0… ). We should have models finetuned for Ethereum-related use cases as well.













