#Bittensor >> $TAO >> dTAO 

❗This post has been corrected and replaces the previous one.

Thank you,  @learnbittensor & @mcjkula, for verifying the accuracy of the content below.

Understanding Emissions in Dynamic TAO

Explained Like You're 15 🎮

Alright, imagine TAO and ALPHA are like gold and silver coins in a video game. Each player (the subnetworks) can earn them every round (each block).

🎮 How do you earn these coins?

👉 TAO (gold):

The more gold a player (subnetwork) has stored in their vault (staked TAO), the more new gold coins they earn each round.

Bigger vault = bigger rewards!

👉 ALPHA (silver):

Each player receives 2 silver coins (ALPHA) per round.

These 2 ALPHA are then split between the vault (subnetwork pool) and the assistants (miners, validators, subnetwork owners).

📌 If ALPHA is worth a lot, more ALPHA goes to the assistants.

📌 If ALPHA is worth less, a larger portion is stored in the vault.

🛡 How does the game adapt if ALPHA loses value?

Unlike what you might think, the game doesn’t slow down rewards, but instead adjusts the distribution to keep things balanced:
🔹 ALPHA is split evenly between the vault and the assistants.
🔹 Without this adjustment, assistants would receive less and less ALPHA over time.

🔬 Want to see how it works?

You can use an online simulator to test how the coins are distributed and how the game adjusts rewards:
➡️In short, this system automatically balances distribution so that rewards remain fair and stable, even if ALPHA’s price changes! 🚀
#Bittensor #TAO