Founder of Oxcart Technologies. Inventor, DeFi Delegate, Dad. Former financial controls, recovery and investigations. //in a world awash in money, be change 🙏
Hugging Face is basically GitHub for AI: the biggest open hub for pre-trained models (like Llama, Mistral), datasets, and Spaces (live demo apps).
The $9 Pro plan is stupidly good value—gives you 1TB private storage (10x free), 8x ZeroGPU compute with top priority, 20x inference credits, SSH/VS Code dev mode for Spaces, private dataset viewer, and early features.
Worth it if you actually build or experiment with models daily.
It's very rare that the hackers allow us the time to do this, since I've been on the council, we've never had the opportunity and I doubt we will again.
The hackers left the funds in one address for 2 days. That's what it took for us to do this... most people are missing that context.
The line is the same as it always has been, 9/12 elected multisig members have to agree that the emergency action is needed.
RE: Stop Lazerus button... I doubt they ever let this happen again, I think we will only get to use this button once.
Tesla's Optimus V3 robot hand looks to have been revealed in a new international patent published today.
The patent describes a tendon/cable-driven hand:
• Actuators in the forearm
• Each finger has 4 degrees of freedom
• The wrist has 2 degrees of freedom
• Tendon-driven system: 3 thin, flexible control cables (tendons) per finger run from forearm actuators, through the wrist and into the fingers.
• Advanced wrist routing: Cables switch from a lateral (horizontal) stack on the forearm side to a vertical stack on the hand side, plus a transition zone to minimize stretch, torque, friction, and crosstalk during yaw/pitch movements.
• Integrated control cable channels in the finger segments and precise routing (behind some joints, forward others) for selective bending.
The full filing is in the thread below if you want to read more about it:
You can run this on 16gb vram at full context with the 2 bit quant - it’s a vision model and insanely fast on cuda (think snappy pdf processing 1500t/s in then 100t/s out on rtx 3080).
Also put the 6 bit on 32g vram (disabled vision and got full ctx) - 70t/s on an intel B70 🥵
@Alibaba_Qwen Thank you for supporting open-source! We just made GGUFs so you can run the model locally on 23GB RAM / Mac for 4-bit. 💜🥰
Qwen3.6-35-A3B: https://t.co/VlyW8UwDjw
We’ve just posted a governance proposal to the forum for community discussion, and we believe it represents one of the strongest long-term governance alignment signals in DeFi.
Here's what it does 🧵
Researchers just proved that every single elementary function, sin, exp, log, sqrt, comes from one single binary operator.
It is like finding the “God Particle" for calculus.
In computer science, every complex program breaks down to a single logical operator: the NAND gate. It is the fundamental building block of all digital reality.
But for continuous math, physics, engineering, machine learning, we thought we needed a massive toolbox.
Addition. Subtraction. Trigonometry. Logarithms.
Every scientific calculator and neural network has to juggle all of them.
Until today.
But this paper proved that every single mathematical function can be generated by a single, bizarre binary operator.
eml(x,y) = exp(x) - ln(y).
Combine that with the number 1, and you can build everything.
Pi. The square root. Sine and Cosine. Arithmetic.
It is all just the exact same operator, repeating over and over again in a binary tree.
Nobody anticipated this existed. It was found by systematic exhaustive search.
But the implications for AI are massive.
Instead of an AI struggling to combine different mathematical rules to discover a new scientific law, it can just use a single, uniform architecture.
One trainable circuit. One repeatable node.
We thought the language of the universe was complex.
It turns out, it's just one equation repeating in the dark.
Same gpus I cooked to mint eth daily during pow days are now cooking sensitive client data over customs built llms. I’ve made myself obsolete and own the entire stack. Bring this to the masses.
Who is working on ai-pow pls bring back the good old days? @VitalikButerin get pilled
7/ If you build / use:
LLM products
agent systems
infra / ML platforms
This decision is unavoidable.
Trying to make it obvious instead of fuzzy, would love brutal feedback.
1/ I built a simple tool:
https://t.co/mHrJehUFkq (working title)
It answers one question:
👉 When does renting GPUs become cheaper than paying per-token for frontier models?
Would love feedback 👇