ThayakornRakwetpakorn

🇹🇭 → 🇯🇵
grace n elegance
🐢👽🧠🌃🎆🏞🌄🌌🧪🏊🏻‍♂️🏃🏻‍♂️🧘🏻‍♂️

[hardmaru @hardmaru]

Incredible work by Sony published in @Nature today! 🏓

They’ve built “Ace”, an autonomous ping-pong robot that uses RL and Sony’s vision sensors to achieve expert-level play in ping pong. A huge leap forward for adaptive robotics.

https://t.co/hJqnZzXV17

[Indie Game Joe @IndieGameJoe]

These Thai indie developers are making a survival horror game inspired by Southeast Asian folklore.

- Play as a tourist lost in a sealed-off village
- As night falls, terrifying creatures start to appear
- Find a way out

It’s called The Twilight Project. Would you play this?

[Zain Shah @zan2434]

Imagine every pixel on your screen, streamed live directly from a model. No HTML, no layout engine, no code. Just exactly what you want to see.

@eddiejiao_obj, @drewocarr and I built a prototype to see how this could actually work, and set out to make it real. We're calling it Flipbook. (1/5)

[ソニーセミコンダクタソリューションズグループ @SonySemicon_JP]

ソニーAIの論文が科学誌Natureに掲載されました！📚
一流の卓球選手と肩を並べた世界初の自律型ロボット「Ace」では、当社のイメージセンサーが、ボールの位置や高速な回転をとらえる技術として使われています。
詳細はこちらへ🔻
https://t.co/vn2zNTiW7L

#SSSの技術

[Lin Jian 林剑 @SpoxCHN_LinJian]

Smart beach-cleaning robots debut in Boao, Hainan, south China.

Zero emissions, high-precision sensing, fully autonomous — the future of beach cleanup is here.

[Eyisha Zyer @eyishazyer]

An indie game accidentally became the best workforce training tool for data centers on the planet for $20

[Sebastian Raschka @rasbt]

I (finally) put together a new LLM Architecture Gallery that collects the architecture figures all in one place!
https://t.co/NO7z6XSRHS

[HELLO CYBERNETICS @ML_deep]

いや〜〜……これはマジですごい。外界とのインタラクションを連続的に実施し続けられるのは偉いわ。

[Vjekoslav Krajačić @vkrajacic]

File Pilot 0.7.0 is out!
Drag & drop from external apps and ZIP archives is finally here, plus dropping files onto other files.
Also launching the public roadmap toward v1.
https://t.co/IMNl9nbvQB

[Theo - t3.gg @theo]

64gb of RAM costs the same as a brand new MacBook with 16gb of RAM

[Justine Moore @venturetwins]

It's going to be insane when we can prompt our own virtual worlds like this and explore them.

Imagine adding other characters you can talk to with LLMs + voice models!

[Tylor Hepner @TylorHepnerArt]

Expedition33 is legitimately one of the most aesthetically gorgeous games I’ve ever seen… as an artist obsessed with lighting, atmosphere, and color, I am deeply moved and inspired by the mastery of every ounce of it all✨

[ThayakornRakwetpakorn @syncrodazt]

With @OpenAudible you can download all Audible audiobooks that come with the subscription. Been using for more than a year in https://t.co/JM76gs4JmD. It just works!

[ワイモバイル（Y!mobile）公式 @ymobileOfficial]

／
ワイモバ10周年大感謝祭 第4弾
フォロー＆リポストキャンペーン🎁
＼

①このアカウントをフォロー
②このポストを 4/11 9:59 までにRP
③結果が自動返信で届く
④当選者のみDM

総額1億円が当たる大抽選会実施中！抽選結果確認後に応募してね🔥

規約 https://t.co/eGIPDkiwCj

[ThayakornRakwetpakorn @syncrodazt]

日本株ランキング／初心者向け／10万円以下で買える株／使ってよかった優待＋高配当でホクホク／ズボラでもOK！ 永遠に持ちたい安定株／順張り＆逆張... https://t.co/b7vCPf7xhB via @YouTube

[Jordan Noone 🇺🇸 @jordannoone]

Going to be an exciting year

[jessica @spatiallyjess]

Today I learned the city of Tokyo released point cloud data of the entire city for free for anyone to download 👀

[Allen T. @Mr_AllenT]

This is the craziest AI news this month

An open source generative physics engine able to generate 4D worlds

[ThayakornRakwetpakorn @syncrodazt]

วิธี backup รูปจาก iphone ลง windows pc ล่าสุดคือใช้ https://t.co/5CECyy3ZQe
เพิ่งลอง ก็โอเคเลย

เมื่อก่อนคือเชื่อมผ่าน usb ละก็ลากก๊อปวาง แต่ปัญหาคือ
1. บางทีมันก๊อปไม่หมดทุกรูป ต้องมานั่งเช็กว่าก๊อปหมดไหม
2. ภาพที่อยู่ใน icloud ไม่ได้เก็บในเครื่องมันลากก๊อปวางไม่ได้

[Jim Fan @DrJimFan]

We trained a robot dog to balance and walk on top of a yoga ball purely in simulation, and then transfer zero-shot to the real world. No fine-tuning. Just works.

I’m excited to announce DrEureka, an LLM agent that writes code to train robot skills in simulation, and writes more code to bridge the difficult simulation-reality gap. It fully automates the pipeline from new skill learning to real-world deployment.

The Yoga ball task is particularly hard because it is not possible to accurately simulate the bouncy ball surface. Yet DrEureka has no trouble searching over a vast space of sim-to-real configurations, and enables the dog to steer the ball on various terrains, even walking sideways!

Traditionally, the sim-to-real transfer is achieved by domain randomization, a tedious process that requires expert human roboticists to stare at every parameter and adjust by hand. Frontier LLMs like GPT-4 have tons of built-in physical intuition for friction, damping, stiffness, gravity, etc. We are (mildly) surprised to find that DrEureka can tune these parameters competently and explain its reasoning well.

DrEureka builds on our prior work Eureka, the algorithm that teaches a 5-finger robot hand to do pen spinning. It takes one step further on our quest to automate the entire robot learning pipeline by an AI agent system. One model that outputs strings will supervise another model that outputs torque control.

We open-source everything! Welcome you all to check out the paper, more videos, and try the codebase today: https://t.co/RwiBT3z78H
Code: https://t.co/ERp4Gl0N36