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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Today, I just don't feel like scrolling through X at all.
Everyone's getting payx
Everyone's getting payx
But Zy has been paused for years, and now when I open it, it hasn't reached 5M views yet. I wonder if it will reopen once it hits 5M, everyone.
So bored, I guess I'll go drink again.
@wallchain @quipnetwork @sleepagotchi
Kai 🎯
Many people come here with expectations:
- first month break-even
- second month receive pay
- third month earn 3-4 figures
But in reality, it doesn't work like that
Most accounts that earn stable money have gone through tens of thousands of posts, hundreds of thousands of replies
What helps them succeed is showing up consistently every day
Each payout period may vary, but the account always grows day by day
If you can maintain diligence for 1-3 years, then the chances are very high that you will have:
- a strong account
- a quality network
- a stable source of income
And at that point, payout is only a very small part of what you receive
Axis has just launched a series of new data collection missions, focusing on long-horizon tasks and multi-embodiment robots.
Notably, users can now participate in controlling dual-arm robots and perform tasks designed to operate across various types of robots.
Why is this important?
• Axis is gradually advancing towards more complex robotic tasks that are closer to real-world environments.
• Long-horizon tasks help expand data collection capabilities in simulated environments more effectively.
• The staged evaluation system breaks down complex tasks into clearer training signals.
• Multi-embodiment tasks enable models to adapt to different robot types and control methods.
• The data quality is not only more diverse but also more complex.
• Axis’s goal is not merely to collect more data but to create more valuable datasets for training Physical AI.
Axis is building a data foundation so robots can learn better, adapt faster, and move closer to real-world applications.
GM FAMS
@BitRobotNetwork and @axisrobotics have officially launched SN/04, a robot control simulation program aimed at expanding the training data source for Physical AI.
One of the biggest challenges in the robotics industry today is the lack of quality data to train AI models. Axis is addressing this issue by building a comprehensive Physical AI infrastructure, from data generation, data processing to training and deploying models in real environments.
Through BitRobot, a global collaborator network will be connected and encouraged to contribute data, helping accelerate the development of Physical AI.
To participate in SN/04, users need an access code. Members with the TeleArms Pilot role on BitRobot's Discord and accounts with roles X, Y, Z on Axis ...
In the program, participants will perform simulated tasks of grasping and placing objects, generating valuable data for training the next generation of robots. At the same time, users also have the opportunity to receive rewards from both the Axis and BitRobot ecosystems.
For those who don't have a code yet, keep following Zy to get the code.
Kha (✱,✱) 🍊,💊π² base.eth
💥💥Update @axisrobotics
Marking another step of cooperation
@axisrobotics X @BitRobotNetwork
Axis launches a dedicated task hub for Bitrobot
Do one, get two, but the requirement is to have a participation code
To get the code, you need to contribute significantly and achieve the X-axis role.
💥💥Physical AI also connects a global participant network to create a data loop for AI training
task here:
Baovy06 reposted
Announcing our collaboration with @BitRobotNetwork!
Axis is launching SN/04 on BitRobot, the open robotics lab on Solana that coordinates distributed contributors to accelerate Physical AI research.
SN/04 is a teleop-in-sim mission where contributors complete web-based robotics simulation tasks, generate valuable training data, and earn rewards from both ecosystems.
Together, we’re scaling human demonstrations for Physical AI — powered by everyone.
Rules and details below ↓
Instead of using just a single AI assistant, @sleepagotchi is developing a system composed of multiple AI Agents with specialized roles.
The Sleep Coach supports monitoring and improving sleep.
The Wellness Coach focuses on overall health and daily habits.
The Meal Planner helps build a nutrition plan tailored to each individual.
The Shopping Agent assists in selecting health-related products based on actual needs.
What’s special is that these Agents do not operate independently. They can share data, coordinate with each other, and collectively build a more comprehensive picture of the user.
By better understanding each person’s habits, goals, and needs, the system can offer more suitable recommendations for each stage of the health care journey.
This is a noteworthy approach where AI not only answers questions but also becomes a continuous companion, helping to personalize the health experience for each user.
