Monad is a bet that success in crypto eventually creates its own coordination crisis and that when it does, the market won’t have time to debate alternatives.
New York, USA
Joined September 2022
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RK-X retweeted
Stop whatever you’re doing and go all in on AI.
This is one of those moves you’ll thank God for in a few years.
AI is not temporary.
We’re going through serious changes to the human condition.
This is about survival.
Get to work.
Understand that shit.
It’s still early.
RK-X retweeted
The newest painting in the Louvre. “The Girl with the Suicidal Empathy.” Oil on canvas. Go see it while the Louvre is still standing.
RK-X retweeted
Ilhan Omar just posted this video asking for money on TikTok. You can tell she's been spending the entire week crying.
RK-X retweeted
You ever been dead broke but God still supplied your every need ?😭😭😭😭😭😭😭😭😭😭😭😭😭😭😭😭😭😭😭😭😭😭😭😭😭😭😭😭😭😭😭😭😭😭😭😭😭😭😭
RK-X retweeted
AI will be able to compute the perfect delta of what you understand and don't, helping you progressively learn any idea and unravel any mystery.
If you so desire, you'll reach the maximum of your capability and intelligence. The ultimate education. For free.
RK-X retweeted
1/4 Today, we’re releasing Mercury 3. Mercury 3 is by far our most powerful model and the most intelligent diffusion LLM ever released. It outperforms GPT-6 Luna and Haiku 5.5 on quality while running at 1000+ tok/sec.
🤖 Made with AI
RK-X retweeted
JUST IN: China's DeepSeek releases an open-source tool designed to dramatically reduce the computing costs of running AI models.
RK-X retweeted
I just voted Republican all down that ballot. I may not be feeling the current GOP but I ain't voting for crazy socialist and amnesty
RK-X retweeted
🚀 Introducing DeepInfer, our in-house inference framework, now fully open source!
Powering DeepSeek-V4.1-Flash at scale with high throughput and low latency. We’re sharing our production stack to help the community lower compute costs, reduce energy use, and make AI more affordable.
🔗 github.com/deepseek-ai/DeepI…
1/4
RK-X retweeted
HEARTBREAKING UPDATE: THE AIRMAN WHO FELL TO HIS DEATH AT THE UTSA FOOTBALL GAME LEAVES BEHIND A WIFE AND TWO YOUNG BOYS.
We now know the identity of the U.S. Air Force member who tragically fell approximately 150 feet during a military rappelling demonstration at the Alamodome in San Antonio on October 17th.
His name was Technical Sergeant Ian Patterson, a decorated Air Force veteran with 15 years of service.
Ian was participating in a pregame demonstration honoring our military before the UTSA - Navy football game when something went terribly wrong. He descended at a dangerously high speed and struck the field in front of thousands of spectators.
He was rushed to the hospital but tragically did not survive.
Ian was a husband to Niki and a father to two young boys.
Niki is a stay-at-home mother who homeschools their children. Ian was their primary financial provider.
Ian spent 15 years serving our country. He served in Korea, Colorado, and Germany, and was recognized as the Air Force Special Warfare Enlisted Instructor of the Year in 2022.
A GoFundMe has been established to help Niki relocate closer to family, provide for her children, and handle potential legal expenses.
Please pray for Niki and these two little boys.
Our military families sacrifice more than most people will ever understand.
🇺🇸 Rest in peace, Technical Sergeant Ian Patterson. Thank you for your service.
RK-X retweeted
🚨 #BREAKING: Since Lindsay Clancy not being found guilty, 82 mothers in America have murdered 123 of their children.
RK-X retweeted
Introducing Optimus-1, the first swarm harness for autonomous research. Generally available in ArkenOS, starting now.
Optimus-1 lets ArkenOS spawn a swarm that runs the entire discovery loop on hard research problems autonomously. The harness samples the hypothesis space in parallel and works the tails of the distribution, chasing every anomaly until it resolves into an artifact or a discovery. We want every researcher to have a lab of their own, and to see how far their curiosity can go.
Unlike coding agents, Optimus-1 is designed for long-horizon discovery, where most branches fail, and the hard part is knowing which result to believe. It keeps what replicates and keeps pushing past the edge of what's known.
We're still early, but ArkenOS is helping hundreds of teams, from RL environments and data labs to frontier research groups, scale the alpha in their core research.
If you're working on a hard research problem and want to try it, my DMs are open. I'd love to hear what you'd point it at.
