Baovy06

Big update from @quipnetwork lately They’re now working on protecting a large portion of Bitcoin through post-quantum wallet infrastructure built with Arch Network. What makes this interesting is that it adds an extra security layer against future quantum threats without needing changes to Bitcoin itself. I also like that they released the code early so the community can review and test everything openly. And for people wanting to get involved early, the Quip testnet is already live: • One-click node setup • GPU support available • Community participation before mainnet in Q2 2026 Feels like they’re quietly building long-term infrastructure instead of chasing short-term hype.

Axis Weekly Last week, we made progress across the full robotics data loop, including task generation, simulation infrastructure, model training, and failure recovery. Key updates: - Task generation: We improved TaskGen with better automatic checker generation, stronger multi-embodiment support, and more efficient domain randomization to scale task diversity with less manual design effort. - Simulation infra: We continued improving MuJoCo verify/replay and scene-variant workflows, including fixes across data collection, multi-asset scenes, repeated loading/downloads, initial states, teleoperation, IK, and gripper control. - Model training: We confirmed that the new randomized tasks are learnable with sufficient data. In our current experiment, 500 demos successfully produced an executable policy, while 100 demos were not enough. - Failure recovery: We began building a recover-from-failure pipeline to collect and categorize gripper failure and near-failure states during grasping, which will later support more robust recovery policy learning. A closer look at this week’s progress🧵

It's strange, people only notice when you change your attitude towards them. But they don't look back at their own actions that made you change your attitude like that. @wallchain @quipnetwork

After announcing the Tokenomics with 60% allocated to the ecosystem, @arc has officially launched the Community Portal and the community has started "farming points" very actively Although the team emphasized that Points currently have no direct monetary value and they don't like spam, many members have already contributed, and those who haven't started can still join now Access: How to participate: • Register with email • Complete your profile to immediately receive 100 starting points Tasks to increase points and reach higher Tiers: • Daily login: +1 point • Read articles / watch videos: +2 to +4 points • Post creative content: +100 points • The “Original Post” section is currently the fastest way to earn points if you invest effort in quality content. Try to reach at least 500 points to enter Tier 1 • Don’t spam content too much because Arc can scan accounts with low-quality activity • Prioritize posts with unique perspectives, sharing experiences or analysis to keep your account safer Those hunting for opportunities in the Arc ecosystem should join early, accumulating points while getting familiar with the ecosystem. WISHING EVERYONE SUCCESS

Giant dust storm barreling in with unstoppable force! 🌪️ Melody Storm — nothing can stand in its way. #RWA #MusicFi @elonmusk @AbstractChain

AXIS ROBOTICS is a project building the “brain” for robots using simulated data @axisrobotics is developing infrastructure for physical AI in a quite interesting direction: instead of using real robots and expensive laboratories, users only need a web browser to participate in training robots through a simulated environment. Highlights of the project: • prioritizes creating data in a simulated environment before applying it to real robots • users can directly control the robot arm on the browser to generate training data • the system uses AI combined with randomization mechanisms to create various scenarios, making the data more diverse • each contributed data segment is tagged with a unique code and stored on the Base blockchain • aims for a community-driven data contribution model rather than focusing on a single entity According to project information, during the testing phase, about 18,000 people participated and generated nearly 100,000 training data entries in just 5 days What I find notable is that Axis Robotics does not focus on chatbots or conversational AI like many other projects, but directly targets data for real-world robots, which is considered one of the toughest challenges in the AI industry today. The robot sector combined with blockchain is still quite new, but Axis Robotics is heading in a promising direction by combining: simulation + community data + AI + blockchain verification AI #Axisrobotics @LihThooi @mintt_34

RT @baovy06: LLMTUNE – the platform supporting AI training and operation is gradually gaining attention from the community. @LLMTUNE_IO is building an ecosystem th…

There is a paradox: when at home, fully awake When going to work, feeling sleepy. AND At work, talking about drinking When drinking, talking about work 🤭🤭. @wallchain @quipnetwork

AI needs crypto – and crypto needs AI. LLMTune is the bridge. Our first steps: ✅ Accept crypto payments – real utility, not hype ✅ Every transaction reinforces crypto liquidity & market volume ✅ No banks, no gatekeepers – you hold keys, you build ✅ Bridging AI inference/fine‑tuning with Web3 freedom And many more steps are coming – to empower and unite AI + crypto even further. The bridge is open. #ai #crypto #AIart️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️ #CommunityVibes

Noticed that object descriptions and reference images sometimes don't perfectly match the actual assets spawned in a task? This is because we’ve rolled out in-task randomization to increase data diversity and improve model generalization. The actual assets may vary, but the task goal always remains the same. Please focus on the task goal rather than the specific assets. Rich scenarios, diverse combinations of atomic skills, and extensive in-task randomization build the diversity of our data.