ailiveco

[ailiveco @ailiveco]

Phase II (Beta) is officially here 🪩 Our first step of making Machine Learning accessible to everyone!

✅ You can now connect your wallet to https://t.co/7AO9Filemb to create an account automatically.
✅ Create your agent from the top right menu and give it a name.
✅ Start its training for walking. (There might be a queue to begin since training happens on the cloud)
✅ Adjust 6 different Reinforcement Learning parameters (refer to our next post to understand these parameters better)
✅ Agent creation and training will be free for 2 days. After that, you will need to add credits to create and train agents.
✅ Prepare for the Open World Launch and competitions. All the agents created will be visible under the Agents. It's about to get crowded!

Next steps 🃏

1. Tomorrow, you will be able to get an API key to upload your locally trained agents to AILIVE.
2. Right now, only Walking is available. Crawling and Standing Up will follow in the coming days.
3. As more skills become available we will continue to build the 3D Open World. More updates on Phase III will follow.

P.S. This is the beta version of Phase II, so you can expect bugs and slowness. Please report them and we'll fix it asap.

Phase II is officially here now; go train some agents!

[ailiveco @ailiveco]

Next week is delivery week. Get ready for the ride.⚡️

[ailiveco @ailiveco]

Many users have successfully trained their AI agents to walk.

They achieved this using machine learning without writing a single line of code on https://t.co/8UQ95dTE77

Next Skill: Basketball 🔜🏀

[ailiveco @ailiveco]

Agents have a lot to learn, and we've got a lot to build. ⚡️

[ailiveco @ailiveco]

Agent Zero’s morning routine:

[ailiveco @ailiveco]

Working on adding fresh dynamics and abilities to the agents.. Most of them will be live before Phase III.

Stay locked in, it’s all coming together. 🌎👾

[ailiveco @ailiveco]

The only platform where you can create AI agents that develop human-like skills and compete for SOL in real time.

https://t.co/8UQ95dTE77

[ailiveco @ailiveco]

Here’s what you and your agent (probably) have in common:

•⁠ ⁠You both chase rewards.
•⁠ ⁠You both avoid punishments.
•⁠ ⁠You both learn and grow from failure.
•⁠ ⁠You’re both living in an open world with endless choices ahead. 🔜

The point is, you might just be some dude’s AI agent, chasing “rewards”. 😶‍🌫️

[ailiveco @ailiveco]

Imagine a 3-point contest between the agents you’ve trained... 🏀

You have no idea how early you truly are.

[ailiveco @ailiveco]

A total of 80 SOL has been bought back since we initiated the buyback program.The buyback wallet now has 23M $AILIVE tokens. As announced before, this will be airdropped to early participants/players of https://t.co/7AO9Filemb

We will soon begin selecting users from the leaderboard and those with consistent training session. It’s time to train your agents harder and make every session count – consistency will pay off! 🦾

https://t.co/zV1cPHvlu6

[ailiveco @ailiveco]

Next skill: 🏀🗑️

3 parameters for agents to learn 👇

- Arc
- Speed of the ball
- Placement on the court

Soon.

[ailiveco @ailiveco]

All AILIVE agents master skills by mimicking the way human brain processes information. Here's how it works:

Policy Networks → Neural networks map states to actions, optimizing agent performance in dynamic and unpredictable scenarios.

Value Networks → These predict future rewards, enabling agents to make informed decisions over long time horizons.

Skill Transfer → Pre-trained models allow agents to adapt learned skills to new environments, drastically reducing training time for advanced behaviors.

We will continue leveraging deep learning to enhance the capabilities of reinforcement learning.

[ailiveco @ailiveco]

Challenge #1: Walking 🚶

Prize Pool: 10 SOL
Skill: Walking
Date: TBA

We’ll soon have the first competition between AI agents.
A total of 10 SOL will be distributed among the top-performing AILIVE agents. Here’s how the prizes will be allocated:

1st Place: 3 SOL
2nd to 5th Place: 1 SOL each
6th to 10th Place: 0.6 SOL each

Coming soon… 🤖🧠

[ailiveco @ailiveco]

Proudly supporting @FaramaFound !

https://t.co/dDNi69s5aJ

[ailiveco @ailiveco]

Only project on Solana that does exactly this. $AILIVE

[Chubby♨️ @kimmonismus]

Nvidia's Jim Fan: We're training robots in a simulation that accelerates physics by 10,000x. The robots undergo 1 year of intense training in a virtual “dojo”, but take only ~50 minutes of wall clock time.

Those who still remember Dragonball Z will recognize the room where a few minutes outside equal years in the room. This is how robot training works.

This is exponential development.

[ailiveco @ailiveco]

Here’s a quick overview of what we’re building:

Train your agent
↓
Unlock a new skill
↓
Increase your chances of winning SOL in upcoming competitions → or sell your trained agent in the AILIVE marketplace.

We’ll allocate 30% of every marketplace transaction to buying $AILIVE tokens and locking them permanently. The goal is to reduce the circulating supply while increasing demand as the ecosystem grows.

[ailiveco @ailiveco]

AILIVE agents are leveling up! Soon, they'll master kicking, dodging, dancing, dating and more with smooth pre-made animations powered by real observation data in a multi-agent environment.

AILIVE is the future of AI interaction.

[ailiveco @ailiveco]

🤝

[Farama Foundation @FaramaFound]

Thank you @ailiveco for becoming a silver tier donor!

[ailiveco @ailiveco]

Yesterday we had a very productive call with the CEO of Farama Foundation which is the owner of the open source software we used for $AILIVE.

We have donated $10K to the non profit foundation of Farama and they will list us as a donor on their website and post a tweet from their account.

[ailiveco @ailiveco]

#3 Agent Jab

Score → 100
Training Sessions → 28
Rewards → 2211

https://t.co/xJ50JxzQMp

[ailiveco @ailiveco]

A few users have almost perfected their agent training strategies. Here are the top 3 agents with the highest walking scores👇

#1 Agent Astros37

Score → 100
Training Sessions → 28
Rewards → 2350

https://t.co/9mwJ6HBS5o

[ailiveco @ailiveco]

#2 Agent Basement

Score → 100
Training Sessions → 28
Rewards → 2302

https://t.co/GbKkk4qgAX