richard zhang (@rzhang139) 's Twitter Profile
richard zhang

@rzhang139

Constantly Grokking

ID: 1339363309905010688

linkhttps://www.richardzhang.site/ calendar_today17-12-2020 00:14:50

286 Tweet

407 Followers

1,1K Following

Pika (@pika_labs) 's Twitter Profile Photo

Are you ready for the big reveal? 👀🐰 Drumroll please… 🥁🥁🥁 🥁🥁🥁 🥁🥁🥁 Pika 2.1 is dropping soon. Want early access? Apply via the link in thread.

Sevy Silva 🕕 (@sevysilva_media) 's Twitter Profile Photo

🔥🔥🔥BOOOOM!!! 🔥🔥🔥 (again hahaha!) This is one of my favourite generations with Pika new 2.1 model... and WOW! Real-time motion has improved A LOT! Finishing two pieces 😉 Please stay tuned,I promise you something AWESOME! Huge shotout to the Pika TEAM!!!

Pika (@pika_labs) 's Twitter Profile Photo

It’s go time 🏁🔥 Introducing Turbo Mode: Make more for less. Generate mind-blowing AI videos 3x faster, for 7x fewer credits, without compromising on quality. Ready, set… Go try it at pika dot art

Flashnet (@flashnet) 's Twitter Profile Photo

1/ Today, we're excited to officially announce our seed round, joined by some of the best fintech, tech, and capital markets investors in the world.

1/ Today, we're excited to officially announce our seed round, joined by some of the best fintech, tech, and capital markets investors in the world.
mike (@mikelikejordan) 's Twitter Profile Photo

A couple hours late but: mikelikejordan.bearblog.dev/how-math-acade… I always said I would give a Math Academy testimony. Here it is. A special thanks to Justin Skycak Alex Smith who have always answered my questions on here. Shoutout to the math academy team and community. Life changed

Eliot Xing (@etaoxing) 's Twitter Profile Photo

RL is notoriously sample inefficient. How can we scale RL on tasks much slower to simulate than rigid body physics, such as soft bodies? In our #ICLR2025 spotlight, we introduce both a new first-order RL algorithm, SAPO, and differentiable simulation platform, Rewarped. 1/n

Dwarkesh Patel (@dwarkesh_sp) 's Twitter Profile Photo

Made myself a research tool Claude makes flash cards from passages I highlight Reduces the friction of using spaced repetition. Sharing in case helpful to you! generateflash dot cards

Stone Tao (@stone_tao) 's Twitter Profile Photo

some exciting news, ManiSkill/SAPIEN now has experimental support for MacOS w/ CPU simulation and rendering. You can now do your local debugging/development on Mac. Example shown here is a Push-T policy trained on my 4090 running on my mac! try now: maniskill.readthedocs.io/en/latest/user…

Neil (@neiltan_io) 's Twitter Profile Photo

Fine-tuning NVIDIA's Gr00t robotic foundation model on a single RTX 3090 using Hugging Face PEFT. PR to follow. github.com/neil-tan/Isaac… Awesome hackathon hosted by Seeed Studio.

Jacob Phillips (@jacob_dphillips) 's Twitter Profile Photo

We’re entering a new era in robotics where generalized systems are starting to work in the real world, but researchers still don’t have good tools for understanding their data. That’s why I built ARES, an open-source platform for ingesting, annotating, and curating robotics data.

We’re entering a new era in robotics where generalized systems are starting to work in the real world, but researchers still don’t have good tools for understanding their data. That’s why I built ARES, an open-source platform for ingesting, annotating, and curating robotics data.
Jacob Phillips (@jacob_dphillips) 's Twitter Profile Photo

A great point from Chris Paxton in "It Can Think" this morning that a lot of people working in robot data collection tend to miss! This may actually be more bullish on robot learning from human videos.

A great point from <a href="/chris_j_paxton/">Chris Paxton</a>  in "It Can Think" this morning that a lot of people working in robot data collection tend to miss! This may actually be more bullish on robot learning from human videos.
Stone Tao (@stone_tao) 's Twitter Profile Photo

sneak peek of what Xander Hinrichsen and I will show next week at RSS 2025 for the maniskill demo session: Zero shot visual sim2real (basic) manipulation, one camera and <1 hour of RL in sim with SO100 ~3 seconds to pick cubes, could be faster but goal is accessibility and low cost!

Jacob Phillips (@jacob_dphillips) 's Twitter Profile Photo

Have you ever wondered if o4-mini could control a robot? Ever wanted to do robotics research, but didn't have any robots or GPUs? MALLET is a toolkit and benchmark for letting vision-language models like GPT-4o drive robots in the real-world. MALLET is built on top of

Stone Tao (@stone_tao) 's Twitter Profile Photo

Code/tutorial released for🤗LeRobot zero-shot visual sim2real Reinforcement Learning! Train your SO100 robot in ManiSkill's fast simulator+renderer💨 and deploy a cube picking model zero-shot. Just in time for the LeRobot Hackathon, happy hacking! github.com/StoneT2000/ler…

Dexmate (@dexmateai) 's Twitter Profile Photo

It’s Monday. The robots have arrived. 🚚🤖 We’ve just moved into our new office— and guess who rolled in first? 😎 Our robots. Not just moving in... dancing in. 🕺🤖🎉 🎥 Watch them move.👇 #Robotics #Automation #PhysicalAI