OpenAsk

Wisdom >> Wealth

ok everyone get ready to pop the champagne because today marks 1 year in 🪩🍾   over the last 12 months, we shipped 100+ features in total, most of which we’ve built in public and with a tight feedback loop, giving you all the chance to weigh in, suggest ideas and help us improve. much more to come! our goal is simple: to make X the coolest and most enjoyable place on the internet. this includes maximizing prosperity for content creators, enabling better/more authentic conversations, and giving you more tools to express yourself. to be real for a sec…we truly appreciate each and everyone of you. thank you for being on X! 🫶

Glad to have met James, Andrew, and Yilei at the @X headquarter yesterday! As a builder on X platform, we're thrilled to discuss potential collaboration with the X team.

[Hi @OpenAskTo @FiSavvy tips 9] hi Joe, we all know that Knowing is much easier than doing. How can you make sure you daughter can follow the principles you mentioned?

I'll have enough passive income at 42 to never have to work again (if I choose) Here are the 10 things I'm going to teach my Daughter about money so she has this same opportunity in her 30s:

Let's reverse engineer Disney's adorable, lifelike robot! I couldn't find a whitepaper, but this is how I think it's trained: 1. The emotional behaviors are curated by Disney animation artists, keyframe by keyframe. But it cannot be "rendered" directly on the robot because it doesn't take into account the complex real-world physics. 2. Reinforcement learning (RL) is a great tool for training low-level robot controllers. RL needs a reward function to optimize, and it's typically a task reward (e.g. walk in a straight line as fast as possible). The problem is that RL doesn't know what counts as "natural behavior", and often produces weird-looking body postures that somehow still maximize the reward. This is a human alignment problem just like ChatGPT. 3. Enters Adversarial Motion Prior (AMP): a technique that learns the human preference by training a classifier on what we consider "emotional & cute". In GAN literature, this is called a discriminator. Disney artists are good at creating such a dataset. You can then add AMP as an auxiliary reward in simulation to nudge the robot towards desired behaviors. AMP was developed by Peng et al. 2021 and Escontrela et al. 2022. xbpeng.github.io/projects/AM… 4. Add lots of data augmentation to make the controller robust to physical disturbances. In RL, it's called "domain randomization". This is a very powerful technique that bridges the gap between simulator and reality. Previously, OpenAI used domain randomization to train a 5-finger robot hand to manipulate a Rubik's Cube: openai.com/research/solving-… IEEE news article gave hints about the pipeline: spectrum.ieee.org/disney-rob… Finally, praying for world peace 🙏. I hope robotics like this will bring more joy to the world.