John Ray

(Contributor @AxisRobotics)

[John Ray @johnrayy44]

@xintex21 Mantap kali tulisannya!!

[John Ray @johnrayy44]

@elneno13nhtw @AxisRoboticsID @axisrobotics mantap kak rara

[John Ray @johnrayy44]

@Ghina8299 Keren ghina! gAxis

[John Ray @johnrayy44]

@Rnoozy @axisrobotics gAxis!!

[John Ray @johnrayy44]

@miyuozaka @axisrobotics Yes yes yesss!!

[John Ray @johnrayy44]

@RinnAckerman Kelaz kink

[John Ray @johnrayy44]

@base @axisrobotics @hack_vc @NomadCapital_io @PiCoreTeam @10kventure Axis on Base

[John Ray @johnrayy44]

@0xHannyusri @masssnpc Kewren abgda

[hannyusri @0xHannyusri]

Buat yang pakai web tracker task-nya @masssnpc (https://t.co/qQ00ype0hz)

Saya bikin bookmarklet kecil buat nandain task mana yang udah selesai (manual, per-task) + filter Done/Not Done, karena butuh sendiri buat tracking pribadi.

Penting:
- Menandai dilakukan MANUAL, satu-satu, bukan otomatis
- Data tersimpan di local storage browser — JANGAN clear cookies/data browser, karena semua tanda bakal hilang
- Ini modifikasi client-side aja dan gak sinkron antar device/browser

Cara pakai:
1. Buka Bookmark Manager (Ctrl+Shift+O di Chrome)
2. Add new bookmark (Klik Kanan)
3. Nama bebas, misal "Task Marker"
4. Paste script di bawah ini ke kolom URL
5. Buka web task-nya, klik bookmark tsb → tombol & filter otomatis muncull

Catatan: ini modifikasi client-side aja, gak resmi dari @masssnpc, murni dari kebutuhan pribadi. Data cuma disimpan di browser masing-masing, gak sinkron antar device.

[F E R T A L I T E ✳️ @FertaliteS65445]

Missed the @AxisRobotics Space AMA @Cryptowombat125 and @chris_anm01 ? No worries, here's the recap 👇

Axis Robotics isn't building "robot tasks for points." They're building the data infrastructure for Physical AI.

The biggest takeaway is that community data is already being used in production. Axis Hub has been running on mainnet since April 2026, and every completed task contributes real structured data for training Physical AI models. This isn't a testnet experiment anymore. Using the community-built Axis Dataset V1, they fine-tuned VLA Pi 0.5 and achieved a 31% performance improvement over the RobotCasa benchmark.

Chris also explained why data matters so much. While LLMs have been trained on roughly 10 billion hours of human data, Physical AI still has less than 1 million hours available today. That's a 10,000x gap, making robots struggle to generalise in real-world environments. Axis is solving this by building large-scale High-Fidelity Simulation and Egocentric Data pipelines.

What makes Axis different is its closed-loop system. Instead of only collecting data, the platform continuously cycles through Task Generation → Data Collection → Model Training → Evaluation → Optimisation, allowing both the dataset and models to improve over time.

The community will play an even bigger role with Post-training Correction, Task Generation, Mobile Capture App, and a future Validator system. Long-term contributors will be evaluated based on quality, consistency, diversity, and quantity, with top contributors receiving Validator opportunities.

On the business side, Axis already works with real customers including Booster Robotics, Feature Robotics, Lotus Cars, and Geely Auto, while targeting more paying customers and becoming a preferred infrastructure partner for Frontier AI Labs next year.

They also announced that AXIS Points are coming soon, and the contribution snapshot has been extended to 28 July 2026, 15:59:59 UTC, so don't forget to sign all your trajectories before the deadline.

In short, Axis isn't farming engagement—they're building the data layer that could power the next generation of Physical AI.

[John Ray @johnrayy44]

@FertaliteS65445 @axisrobotics @Cryptowombat125 @chris_anm01 Gacor kang

[John Ray @johnrayy44]

@KevinYusuf16 Saya nak juga

[Kevin Yusuf @KevinYusuf16]

Petani Airdrop x Axis Robotics Giveaway

Ada 3 Alliance Code yang mau gw bagi hari ini, syaratnya ada di bawah ya.

Btw apa itu Alliance Code?
Alliance Code ini di gunakan untuk mengakses lebih banyak task kolaborasi dari mitra axis robotics yang berbeda dengan task regular.

[John Ray @johnrayy44]

@hangrisss @axisrobotics Vamosss

[Hangrisss @hangrisss]

Consistent hard work pays off. Right now I'm in the monthly Top 10 with 2,594 points on the @axisrobotics leaderboard, and I have to maintain this position.

Still pushing to climb the ranks. Let's keep grinding my Axis friends 💪

[John Ray @johnrayy44]

@AxisRoboticsID @axisrobotics apa aja yang baru di Axis V2 ini min?

[John Ray @johnrayy44]

@axisrobotics GOAT! "A" is for axis😅

[John Ray @johnrayy44]

@axisrobotics @hack_vc @NomadCapital_io @PiCoreTeam @10kventure Marvelous!! Nice Axis😻😻

[Axis Robotics @axisrobotics]

We’re thrilled to announce a $12M Seed round, led by @hack_vc, with participation from @NomadCapital_io , @PiCoreTeam Ventures , @10kventure and top angel investors.

Physical AI has a data problem. Models need more than static datasets—they need diverse data that evolves with them.

Axis’s compounding Data Engine is here to fix this gap. Our end-to-end closed-loop workflow unites large-scale simulation, egocentric real-world capture, and human-in-the-loop post-training to unlock scalable production of structured, multi-diverse robotic data — the core missing piece for Physical AI.

The capital will accelerate Axis’s mission to build a massively parallel, human-in-the-loop global data engine. We’re just getting started.

[John Ray @johnrayy44]

@axisrobotics @Cryptowombat125 @chris_anm01 lets go!!! im with you axis😍