RnaXyrA

ZK & light client nerd
community @axisrobotics

[RnaXyrA @RaenaYra]

robots need real data not vibes

axis x binance keyless
1.5m points
30 days

demo it
sign it on base
or it doesnt count
simple as that

[Axis Robotics @axisrobotics]

Axis Robotics x @BinanceWallet is live.

1,500,000 Axis Points. 30 days. Reserved exclusively for Binance Keyless Wallet users.

Teach robots. Sign your data on Base. Get paid in Points from a pool that's entirely separate from the main product.

How it works:

[RnaXyrA @RaenaYra]

@axisrobotics nice update

[Axis Robotics @axisrobotics]

Tactics and movements that would be impractical to manually design—learned in simulation, proven in the real world.

Looking forward to advancing simulation-driven whole-body control research together with @boosterobotics .

[RnaXyrA @RaenaYra]

While others debate data scaling, @axisrobotics just made the entire stack talk the same language browser ↔ policy ↔ physics, then flooded TaskGen with articulated assets + full RoboCasa coverage. The compounding flywheel just spun faster.

[Axis Robotics @axisrobotics]

Axis Weekly

Last week, we closed the remaining replay and runtime gaps between the browser, policy server, and physics stack — then scaled the coverage of our task generation engine (TaskGen).

An articulated asset library is now in the generation path, the full RoboCasa scene grid is online, and a cleaner long- versus short-horizon task split is ready for training and distillation.

Key updates:

• Replay & runtime: Policy and human-trajectory replay now match the frontend path, with web runtime reaching full replay fidelity. Scene loads faster, and simulation pauses automatically when idle.

• Articulated assets & RoboCasa: TaskGen now includes a library of 27 articulated object families (4 variants each). All RoboCasa scenes are online as a 50×50 layout and style grid.

• Horizon splits & next DAgger step: A cleaner long- vs. short-horizon split is ready, LIBERO Pro shows consistently high success rates, and the next round focuses on filtering correction segments that change closed-loop behavior.

Details below 👇

[RnaXyrA @RaenaYra]

660 human fixes -> only 161 made the cut. Quality over quantity
verified 0.8sec snippets beat full trajectories every time

[Axis Robotics @axisrobotics]

What Happens After Post-Training Data Collection?

Since launching Axis V2, human-gated DAgger correction has been a core part of our data engine. In this thread, we share a series of experiments exploring how to best process and use post-training data.

The core finding: not every human intervention helps. But if you verify which specific actions actually change the outcome — and train only on those — the improvements are real and they scale.

Results:

- 660 corrections collected → 161 (24.4%) entered training
- Each training snippet is ~0.8 seconds
- Naively imitating full human trajectories dropped success from 40.0% to 36.7%, while 161 verified snippets lifted the three-seed average to 48.3% on the same evaluation set — and reached 48.8–52.5% across three seeds in a separate paired evaluation.

Read the full blog: https://t.co/ASYarP7CgU

Details below ⬇️

[Axis Robotics @axisrobotics]

What Happens After Post-Training Data Collection?

Since launching Axis V2, human-gated DAgger correction has been a core part of our data engine. In this thread, we share a series of experiments exploring how to best process and use post-training data.

The core finding: not every human intervention helps. But if you verify which specific actions actually change the outcome — and train only on those — the improvements are real and they scale.

Results:

- 660 corrections collected → 161 (24.4%) entered training
- Each training snippet is ~0.8 seconds
- Naively imitating full human trajectories dropped success from 40.0% to 36.7%, while 161 verified snippets lifted the three-seed average to 48.3% on the same evaluation set — and reached 48.8–52.5% across three seeds in a separate paired evaluation.

Read the full blog: https://t.co/ASYarP7CgU

Details below ⬇️

[RnaXyrA @RaenaYra]

Signal Boost campaign is now live!
Connect your X account in Portfolio → Follow @axisrobotics
→ Get the badge + 1 Axis Point

[Axis Robotics @axisrobotics]

Axis Hub update: The Signal Boost campaign is now live in your Portfolio.

How to participate:
1️⃣ Navigate to Portfolio (or click the Signal Boost banner).
2️⃣ Select "X Connect & Follow" next to your username to link your X account.
3️⃣ Verify your status to activate the Signal Boost badge and receive 1 Axis Point:

Already following: The badge lights up automatically upon connection.

Not following yet: Click the button again to follow on X, return, and the badge will unlock.

🔗 Access Axis Hub: https://t.co/h1HaIkMiu7

[RnaXyrA @RaenaYra]

New to Axis? Quick overview to start tasks & earn points

Tasks drop daily at 12:00 UTC
Less is more in Post-training.
Sign your runs. Maximize points

[Axis Robotics @axisrobotics]

New to Axis? Here is a quick overview to get you started on tasks and earning points:

🟩 Daily Release Time

New tasks go live daily at 12:00 UTC.

🟩 Task Stages

✱ Pre-training: Teleoperate the robot from scratch to teach the base policy. (Use N to save checkpoints and B to restore on long tasks.)
✱ Post-training: Supervise the AI policy and intervene only when it is about to fail. (Manual takeover is capped at 30s per run; click "Return to Policy" right after correcting.)

Tutorial on Post-training tasks: https://t.co/9yak5xuAqq

🟩 Basic Controls

✱ Move: Drag the blue ring on the arm to position the gripper.
✱ Auto approach: Double-click an object to send the arm to a pre-grasp pose.
✱ Keyboard shortcuts are available in the in-game Controls panel.

🟩 Tips to Maximize Points

✱ Pre-training: Focus on task success, efficiency, and motion smoothness.
✱ Post-training: Less is more—minimal corrections and shorter trajectories yield higher scores.
✱ Task Variety: Higher difficulty (up to 5 stars) and broader task diversity award more points.
✱ Sign Runs: Always sign completed runs under Portfolio → History. Unsigned runs do not earn rewards.

📖 Full FAQ: https://t.co/TGN8F7dVrW
🎥 Watch the complete walkthrough in the quoted video below.

[RnaXyrA @RaenaYra]

Finally.. we’ve made it into the Top 3 DApps on @Base

Base is the hub for Physical AI

[Axis Robotics @axisrobotics]

Finally, we’ve made it into the Top 3 DApps on @Base.

Base is the hub for Physical AI. 🤖

[RnaXyrA @RaenaYra]

Introducing the Axis Content Creator Program: The Katalyst for Physical AI. Partnering with @KaitoAI , we’re rewarding Axis lore writers with 0.25% of the $AXIS token, fully distributed at TGE. Epoch 1 is live until September 18th at 12:00 UTC.

[Axis Robotics @axisrobotics]

Introducing the Axis Content Creator Program: The Katalyst for Physical AI

Partnering with @KaitoAI, we are rewarding Axis lore writers with 0.25% of the $AXIS token, to be fully distributed at TGE.

Epoch 1 is now live and runs until September 18th at 12:00 UTC.

We appreciate your efforts in helping Axis grow and push the frontier of physical AI to new heights.

Let’s dive into the campaign details:

[Axis Robotics Türkiye @axisroboticsTR]

📢 Axis Türkiye Etkinlikleri

@axisrobotics Türkiye topluluğumuzun puan ve rollerini daha hızlı kazanmasına destek olmak amacıyla bu hafta birkaç özel etkinlik düzenleyeceğiz!

İlk etkinliğimiz olan Axis Türkiye Quiz için yarın akşam Discord ve Telegram’da bir araya geliyoruz!

🗓 Tarih: 19 Ağustos Çarşamba
⏰ Saat: 22.00 (TSİ)
📍 Yer: Discord

🔗 Katılım bağlantısı, etkinlik başlamadan hemen önce Discord ve Telegram duyuru kanallarımızda paylaşılacaktır.

TG: https://t.co/2p4rDu45Nt🇹🇷

🎁 Etkinlik ödülü: Puan veya X rolü Ödülün kesin türü Axis ekibi tarafından belirlenecektir.

Hepinize başarılar!

[Axis Robotics @axisrobotics]

Axis Weekly

Last week, we focused on unblocking production task generation, moving scene variants off the critical path, and turning HG-DAgger from a local proof of concept into a measurable training recipe.

The week combined infrastructure work — faster scene delivery, a cleaner verify flow, and a quicker policy evaluation loop — with the first clear distillation gains on both old and new task distributions.

Key updates:

- Scene & collection UX: Scene variants load faster, lighting rendering is back, and post-task scoring is tighter.

- Task generation & throughput: LIBERO Pro, RoboCasa, and wheeled embodiments (incl. wheeled Franka) are now in regular generation, with the publish queue consistently above 200 tasks. Policy training and evaluation throughput roughly tripled.

- HG-DAgger distillation: A curated-correction recipe lifted success rate by 20+ points on both old and new distributions (more seeds still needed).

Details below 👇

[RnaXyrA @RaenaYra]

@axisrobotics big weekly

[RnaXyrA @RaenaYra]

Axis Weekly
Last week we unblocked production task generation, sped up scene variants, and turned HG-DAgger into a measurable training recipe.

[Axis Robotics @axisrobotics]

Axis Weekly

Last week, we focused on unblocking production task generation, moving scene variants off the critical path, and turning HG-DAgger from a local proof of concept into a measurable training recipe.

The week combined infrastructure work — faster scene delivery, a cleaner verify flow, and a quicker policy evaluation loop — with the first clear distillation gains on both old and new task distributions.

Key updates:

- Scene & collection UX: Scene variants load faster, lighting rendering is back, and post-task scoring is tighter.

- Task generation & throughput: LIBERO Pro, RoboCasa, and wheeled embodiments (incl. wheeled Franka) are now in regular generation, with the publish queue consistently above 200 tasks. Policy training and evaluation throughput roughly tripled.

- HG-DAgger distillation: A curated-correction recipe lifted success rate by 20+ points on both old and new distributions (more seeds still needed).

Details below 👇

[RnaXyrA @RaenaYra]

@degentokenbase WOW

[Degen 🎩 @degentokenbase]

A creature unlike any other.

A dreamer, a disruptor … a … DEGEN.

777 supply. Free mint.

Q1 2026

Enter the dream → https://t.co/AbBPCn4Zbs

[Asim @0xAasim]

The Real Effects of @SuccinctLabs 🔓

Why are you always posting about Succinct?

Me: Before Succinct, I couldn't even get a single like or comment on my posts. But now, things have changed drastically:

-Impressions: 236K
-Likes: 8.3K
-Replies: 5.1K
-Profile Visits: 2.2K
-Bookmarks: 105

So tell me why wouldn't I contribute to a project that's not only building powerful infrastructure, but also giving me visibility, engagement, and a real community boost?

Succinct isn't just tech. It’s an opportunity.

Succinct Summer 🌞🏝️ Mainnet 95% Loading.

Thank you @0xCRASHOUT @pumatheuma @advaith for giving us Succinct 🚀🫡🩷

[0xINFO HUB @DropZXBT]

Day 17 of saying ALL IN SUCCINCT until ✨💕@SuccinctLabs TGE;

ALL IN SUCCINCT.

Quote this let's start a new daily trend until TGE.

[Busonimus⚛️ @BusoniM]

Many rollups are now evolving into zkRollups and Succinct is at the center of it.

With SP1 that runs Rust apps and generates zk proofs easily, Succinct makes this transition faster and more accessible.

Want to see how it works? Here are some infographics I made @SuccinctLabs

[Mrt.eth @ruzgardmrglu]

Thank you so much to my friend @akadropcan for these lovely gifts. They are so beautiful. $PROVE
The screenshot was taken today. And these gifts are a keepsake for me. I will always keep them.
@SuccinctLabs @0xCRASHOUT @advaith