The latest rippled release introduces Simulate, a new RPC method that lets developers preview how a transaction will behave before submitting it—without risking real assets. Here’s why this is key 🧵👇

@ShawnHymel @ZephyrIoT @WokwiMakes I find qemu harder to use. Renode is somewhat better but Wokwi is by far simpler. Wokwi does simulate many sensors and actually allows for implementing your own custom chips (though for this project I would stick with preexisting components).

#SeeedXIAO# 🚀 Exciting news! The XIAO ESP32C6, ESP32S3, and ESP32C3 are now integrated with @WokwiMakes ! 🎉 Design, test, & prototype your projects virtually—no hardware needed. Thanks to @UriShaked for making this happen! 💡 Explore new ideas, fine-tune designs, & share your projects with us! 🌐 Check out our blog for more information 👉 https://t.co/aNCANg8Shs #XIAOESP32# #Wokwi# #IoT# #Prototyping# #Simulate#

I'm observing a mini Moravec's paradox within robotics: gymnastics that are difficult for humans are much easier for robots than "unsexy" tasks like cooking, cleaning, and assembling. It leads to a cognitive dissonance for people outside the field, "so, robots can parkour & breakdance, but why can't they take care of my dog?" Trust me, I got asked by my parents about this more than you think ... The "Robot Moravec's paradox" also creates the illusion that physical AI capabilities are way more advanced than they truly are. I'm not singling out Unitree, as it applies widely to all recent acrobatic demos in the industry. Here's a simple test: if you set up a wall in front of the side-flipping robot, it will slam into it at full force and make a spectacle. Because it's just overfitting that single reference motion, without any awareness of the surroundings. Here's why the paradox exists: it's much easier to train a "blind gymnast" than a robot that sees and manipulates. The former can be solved entirely in simulation and transferred zero-shot to the real world, while the latter demands extremely realistic rendering, contact physics, and messy real-world object dynamics - none of which can be simulated well. Imagine you can train LLMs not from the internet, but from a purely hand-crafted text console game. Roboticists got lucky. We happen to live in a world where accelerated physics engines are so good that we can get away with impressive acrobatics using literally zero real data. But we haven't yet discovered the same cheat code for general dexterity. Till then, we'll still get questioned by our confused parents.

=Game Recommendation= Pet Noonie Simulator! by @noonieloafing & @BallersonBig17 Explore the map! Pet Noonie! Don't fall into the quicksand! survive. don't let the generator run out. #Roblox# #RobloxDev# Link:https://t.co/pbVYKFsxt6 https://t.co/FVV9uNKYzS