Baovy06
Baovy06
• HODL through thunderstorms, reaping fruit at moonrise. • Position makes it all. • Calm before the wave, steadfast in front of the chart.
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This week, @axisrobotics continues to improve data quality, expand task generation capabilities, and enhance robot training performance.
The team has completed an abnormal user detection system to ensure more accurate data collection. The simulation environment has also been upgraded with improvements in grasping ability, object interaction, and robot movement.
Additionally, over 300 failure states have been collected to support fault recovery training. The TaskGen system now supports automatic generation of articulated objects such as cabinets, drawers, and dishwashers, significantly expanding the range of tasks.
Furthermore, Axis has completed the first model fine-tuning and evaluation round, and integrated the evaluation process into the real robot system, continuing to narrow the gap between simulation and real-world application…!
Axis AI
Axis Weekly
This week was about trust and transfer: making community data cleaner, generated tasks broader, and trained policies more robust as they move from simulation to real robots.
Key updates:
- Data quality: We completed a suspicious-user audit script to detect abnormal collection behavior using user statistics and replay/verify failure reasons.
- Webapp and simulation: We improved key gripper and asset interactions, including penetration, heavy-object grasping, and IK flexibility.
- Recover-from-failure: We tested Failure Task 892 and collected 300+ failure initial states, with the next round moving to repaired and more randomized tasks.
- TaskGen: Articulated-object generation is now merged into the automatic generation pipeline, covering cabinets, dishwashers, drawers, and existing randomization workflows.
- Model and real-world stack: We completed the first round of fine-tuning, evaluation, and benchmarking, merged the π0.5 evaluation pipeline into the real-world stack, and started bringing a new embodiment into the loop.
A closer look at this week’s progress 🧵
sui:native recently faced a major stress test, and while moments like these can create uncertainty, they also reveal the true strength of an ecosystem.
Every breakthrough technology goes through periods of pressure. What matters most is not whether challenges occur, but how the infrastructure, builders, and community respond when they do.
For CONSO, this event reinforces our conviction in the Sui ecosystem. The combination of gasless stablecoin transactions, seamless wallet experiences, and decentralized data infrastructure through Walrus and Seal creates a foundation capable of onboarding the next wave of users to crypto.
What excites us most is not a single feature, but how all these pieces work together. Builders on Sui have access to a powerful consumer-focused stack that makes blockchain applications more accessible, secure, and scalable than ever before.
Markets will fluctuate. Networks will be tested. But the projects that continue building through adversity are the ones that shape the future.
At CONSO, our focus remains unchanged: bringing consumers onchain at scale and creating products that make blockchain technology invisible to the end user while preserving its benefits.
The mission continues.
gCONSO 🐻❄️
Baovy06
While most projects focus only on on-chain activity, @Conso_xyz is taking a broader approach by building the Consumer Graph a unified intelligence layer that captures digital behavior, reputation, and influence across the internet.
Instead of looking solely at wallets and transactions, CONSO aggregates signals from social platforms, communities, gaming ecosystems, and on-chain activity to create a portable and verifiable reputation profile.
The goal is to turn user contributions, engagement, and influence into valuable digital assets that can be recognized across different platforms.
Recent updates show the team expanding its Consumer Intelligence Stack with multiple data sources, AI-powered behavioral analysis, decentralized storage infrastructure, and reputation-scoring mechanisms.
Together, these components aim to transform fragmented user activity into meaningful reputation data that can power the next generation of consumer-focused applications.
What stands out to me is CONSO’s vision around data ownership. Today, most of the value generated from user activity is captured by platforms. CONSO is working toward a future where users own their reputation, contributions, and digital identity.
As AI agents and digital identity systems continue to evolve, Consumer Graph could become one of the key infrastructure layers connecting people, data, and value in the decentralized internet.
Definitely a project worth keeping an eye on.
While most projects focus only on on-chain activity, @Conso_xyz is taking a broader approach by building the Consumer Graph a unified intelligence layer that captures digital behavior, reputation, and influence across the internet.
Instead of looking solely at wallets and transactions, CONSO aggregates signals from social platforms, communities, gaming ecosystems, and on-chain activity to create a portable and verifiable reputation profile.
The goal is to turn user contributions, engagement, and influence into valuable digital assets that can be recognized across different platforms.
Recent updates show the team expanding its Consumer Intelligence Stack with multiple data sources, AI-powered behavioral analysis, decentralized storage infrastructure, and reputation-scoring mechanisms.
Together, these components aim to transform fragmented user activity into meaningful reputation data that can power the next generation of consumer-focused applications.
What stands out to me is CONSO’s vision around data ownership. Today, most of the value generated from user activity is captured by platforms. CONSO is working toward a future where users own their reputation, contributions, and digital identity.
As AI agents and digital identity systems continue to evolve, Consumer Graph could become one of the key infrastructure layers connecting people, data, and value in the decentralized internet.
Definitely a project worth keeping an eye on.
The downtrend market is always the most interesting phase to observe projects that are truly serious about building.
While everyone is still waiting for the “bull run to return,” strong teams quietly lay the foundation for the next cycle.
Currently, I feel a new narrative is gradually forming around AI and RWA.
And @MelodyAssets is choosing a quite different path, building an on-chain liquidity layer for music assets.
This is quite interesting because music is a very large market, but connecting it with blockchain still has many gaps.
If Melody does well, they will not only create a product for crypto but also potentially open a new way for artists, communities, and investors to interact with each other.
I think the most notable point is not the current hype but the fact that the project is building while the market hasn’t really heated up yet.
Usually, the biggest opportunities appear during the phases when few people are paying attention.
Sometimes the bear market is not the end.
It’s just a period for the strong enough things to prepare for the next cycle.
Melody
🐻 Bear markets are the cradle of great projects.
@aave , @Uniswap — the protocols that changed the game weren't built in the bull run. They were built in the silence.
The next bull market will be driven by #RWA & #AI. As the on-chain liquidity layer for music assets, Melody is building right now.
🎵 Don't wait for the wind. Get ready.
Tokenize Your Musical Dreams.
#RWAs #MusicFi #Crypto #Web3 #Melody
Baovy06 reposted
🐻 Bear markets are the cradle of great projects.
@aave , @Uniswap — the protocols that changed the game weren't built in the bull run. They were built in the silence.
The next bull market will be driven by #RWA & #AI. As the on-chain liquidity layer for music assets, Melody is building right now.
🎵 Don't wait for the wind. Get ready.
Tokenize Your Musical Dreams.
#RWAs #MusicFi #Crypto #Web3 #Melody