@HoudiniSwap 💡 You can do this on any chain
You just connect your wallet and create payment link with the exact amount you want to receive
Send the QR code or link to the payment
Good stuff @HoudiniSwap
Privacy at its peak
@HoudiniSwap created a way you can send an receive crypto without knowing the address of the sender or receiver
You just do it with a QR code
Check it outttt 🔥❤️❤️❤️
Amazing stuff
Privacy Adoption ft. @coin98_wallet
We’ll cover the new privacy features they've launched and where privacy is headed.
🎁 1 lucky listener will have their $30 Houdini Pay invoice paid.
Create your payment link, drop your QR in the comments, RT, and be present to claim.
https://t.co/vrPzsz0nIi
To borrow $1,000 worth of stablecoins on a top DeFi platform like Aave, you typically have to deposit $1,300 to $1,500 worth of volatile assets (like Bitcoin or Ethereum) as collateral. If the value of your collateral drops even a fraction below a certain threshold, a smart contract automatically liquidates your position to protect the system.
“Humanoid robots will bring physical AI to the world’s largest industries, opening a multitrillion-dollar economic opportunity,” said Jensen Huang, founder and CEO of NVIDIA. “The NVIDIA Isaac GR00T Reference Humanoid Robot gives researchers a single, open platform to make breakthrough discoveries toward general-purpose physical intelligence.”
On 31st May, NVIDIA announced the NVIDIA Isaac™ GR00T Reference Humanoid Robot, the first open humanoid robot reference design built on NVIDIA Jetson Thor™ and the NVIDIA Isaac GR00T open development platform.
The reference design helps democratize frontier humanoid robotics research by providing access to advanced hardware and an open software stack without requiring proprietary platforms.
As demand for general-purpose humanoidsaccelerates, researchers still face a fragmented process spanning hardware integration, data collection, simulation, training, evaluation and deployment.
The NVIDIA Isaac GR00T Reference Humanoid Robot unifies development by bringing a Unitree H2 Plus humanoid robot and Sharpa Wave tactile five-finger hands (the “body”), with NVIDIA Jetson Thor-powered onboard compute and Isaac GR00T software and workflows (the “brain”) into a single integrated reference design, helping research teams move faster from robot bring-up to skill development and real-world validation.
With NVIDIA’s compute and open software stack at the center, the reference design gives research teams a more unified, secure foundation for advancing humanoid robotics.