Quang Khanh

sống được vì đang sống chết đi vì chẳng sống sống là sống chết là chết chết chưa hẳn là hết.0.1.0 is all 5

[Quang Khanh @TQKwater]

Gần bùn mà chẳng hôi tanh mùi bùn .

[Massimo @Rainmaker1973]

This man added a wind turbine to his RAV4 Hybrid. It helps charge the car using wind power

[The Bugged Dev @thebuggeddev]

Maybe if physics had always been this easy to visualize and learn, we might have had more physicists than ever.

AI is making learning so much easier to understand and actually fun.

This is an electromagnetic field visualization built using Claude Opus 5.5.

I do not think I have ever understood this subject better than I did by simply seeing it visualized like this 😅

[UR4NWW Club Station @hamradiovin]

Процес кустарного виготовлення PCB (printed circuit board), можливо ваш новий SDR трансивер зроблений саме там 😎

[Seita Iizuka | 飯塚 清太 @IizukaSeita]

Codex（GPT-6 Astra）とClaude Code（Opus 5.5）を組み合わせて、日本から約200kgの衛星を高度500km付近のほぼ円形の軌道へ運ぶことを目指す小型ロケットを、概念設計から3Dの飛行シミュレーションまで作ってみました。

動画は種子島付近の仮想射点からの打上げ前半です。飛行開始から約5分を10倍速で再生しています。仮定を置いた計算では、目標付近の軌道に入る結果になりました。

AIなしでは、この計算、機体の3Dモデル、打上げ管制画面を作るのに、どれだけの人手と時間が必要だったのでしょうか。すごい時代になりました。

もちろん、シミュレーションで飛んだことと、実物が飛ぶことは別です。今回は実機開発ではなく、AIで初期検討をどこまで進められるか試したものです。エンジンや電源などを実物で検証したわけではありません。

それでもAIを使えば、ハードを作る前に「仮定した条件で数字の上では成り立つか」「何を確かめるべきか」をかなり具体的に検討できます。ものづくりの初速は、大きく変わろうとしています。

[Konstantin Saifoulline @konstantinsaifo]

I asked Claude Opus 5.5 to explain how a rocket engine works by building an interactive Raptor 3 you can take apart in your browser.

Cut it open, follow the oxygen and the methane through both turbopumps, then throttle it and watch the shock diamonds move.

https://t.co/ulDNOZyAWx

[そら ☁️ AgentSwarm 自動化オタク📱 @sora19ai]

すげぇ！！！Opus5.5！！！

これで土の水分量から自動で水やりしてくれる！

IoTたのしぃ！高専時代に戻った気分。

[Roberto Nickson @rpnickson]

AGENT WARS

We asked 5 top AI models to design, engineer and 3D print a bridge to with the goal of holding the most possible weight.

🇺🇸 Anthropic: Claude Opus 5.5 (High)
🇨🇳 Kimi: Kimi K3 (High)
🇺🇸 Meta: Muse Spark 1.3 (High)
🇺🇸 OpenAI: GPT 6 Astra (High)
🇺🇸 SpaceXAI: Grok 4.7 (High)

Each bridge had specific parameters. It had to span 2 feet, use a maximum 500 grams of filament, and it had to be under 18 hours of printing time. We specified what type of weight and where we would place it on the bridge.

The Score:

• Claude Opus 5.5 held an estimated 130 lbs! It took 9 hours and 11 minutes to print 17 parts and used 441 grams of filament.

• Meta Muse Spark 1.3 held 26.5 lbs. It took 13 hours and 12 minutes to print 49 parts and used 478 grams of filament.

• OpenAI GPT-6 Astra held an estimated 17.5 lbs. It took 15 hours and 44 minutes to print 29 parts and used 442 grams of filament.

• SpaceXAI Grok 4.7 did not finish. On assembly it could not stand up by itself. It took 12 hours and 22 minutes to print 29 parts and used 460 grams of filament.

• Kimi K3 did not finish. It wasn’t engineered correctly so the bridge could not even be assembled. It took 11 hours and 19 minutes to print 35 parts and used 446 grams of filament.

That means our champion for this episode is Claude Opus 5.5. Not only did it hold the most weight (by FAR) it also took the least time to print, used the least amount of parts and used the least amount of filament.

This was episode 02 of Agent Wars, stay tuned for episode 03.

[Kenta Tanaka | WillRobotics | Physical AI @neka_nat]

Opus5.5でレイアウトしつつ、細部をAstraで詰めてもらうと結構いい感じ。
スカラと6軸を組み合わせた組み立てラインです。

[Prashant @PrashantByte09]

Founders of AI companies around the world in different countries

[生産設備屋のイヌ | 製造業教育×ＡＩ @enginner_dog]

加工機×AIのお手本
そりゃ38人で80億の売り上げ立てれるわ

[AMD @AMD]

POV: You’re an engineer building AMD Helios.

Next up: putting it to the test. Episode 2 drops today 👀

[Ryan Sael @RyanSael]

I asked Opus 5.5 to explain camera focus by building an interactive lens lab

Here's what it came up with after 1 hour 26 minutes in one shot, $25.66 API cost
https://t.co/uqDgUs8H9h

Move the focus ring and you can see the glass elements shift the sharp plane through the scene

[donald @donaldjewkes]

Watch GPT-6 Astra synthesize a molecule.

This facility is a physical harness for AI – it lets Astra work on all parts of R&D, including those in the real world.

Unlike math, science is bottlenecked on verification loops. This is the infrastructure needed to compress them.

[루샨 lucian @lucian__03]

클로드 Opus 5.5와 영상에 있는 모션 그래픽 만들어봤는데요!!

어제부터 틈틈이.. Claude Opus 5.5와 총 1시간 정도 작업한 결과입니다.

--> 엔비디아 블랙웰 GPU를 소재로 이런 3D 애니메이션을 만들어봤습니다.

데이터센터 안으로 들어가고, 서버를 열고, 그래픽카드를 분해하고, 칩 안으로 계속 들어가는 등.. Opus 5.5가 넘 알잘딱하게 만들어줬습니다.

엔비디아 블랙웰 통짜(?)에서 주변 부품 뜯고, 회로를 지나고, 트랜지스터를 지나서… 마지막엔 실리콘 원자 하나까지..

그리고 이거..

--> 단일 브라우저(HTML)에서 돌아가는 3D 모션 그래픽입니다 ㅋㅋㅋ

클로드랑 약 1시간 작업해서 이런 단일 HTML를 만들 수 있다는 게 아직도 좀 신기하네요.

이번 Opus 5.5 진짜 미쳤습니다.

[Vijay Raghav Varada @vjvarada]

PCB: 135 parts, 514 pads, 4 layers. I designed almost none of it.

An AI harness in VS Code calculated every part, read every datasheet, drew the schematic, checked its own work.

What would you build if the next board cost an afternoon?

[GoFly @GoGoFly23]

AI全自动设计PCB教程：从MCP配置到KiCad与嘉立创EDA实战
这期视频完整演示如何让 AI Agent 直接操作 EDA 软件完成 PCB 设计。

从 KiCad MCP、EasyEDA Agent 的安装配置，到 AI Agent 与 KiCad、嘉立创 EDA 的连接测试，再到实际 PCB 项目的设计流程，一步步讲清楚 AI 是如何进入电子设计工作流的。

配置完成后，可以直接通过自然语言让 AI 操作 EDA 软件，完成原理图绘制、元器件摆放、PCB布局布线，以及 ERC、DRC 检查等任务。

视频中还以 FPV 无人机飞控 PCB 为例，展示如何通过提示词让 AI 从设计需求出发逐步完成 PCB 工程。
#AI #PCB #PCB设计 #AI设计PCB #KiCad #嘉立创EDA #EasyEDA #MCP #AIAgent #Codex #WorkBuddy #电子设计 #EDA #FPV #无人机飞控

[RMFG @rmfgdotcom]

anyone can build custom parts now

[CLEAN CAR CLUB @TheCleanCarClub]

How bike engine works