A few weeks ago, Bittensor co-founder Ala Shaabana appeared on the Infinite Machine Learning podcast with host Prateek Joshi (https://twitter.com/prateekvjoshi). You can listen to it here: https://open.spotify.com/episode/1GafiUsYBJXoljLHOYmWcc?si=257d9c6b1e2d439f‌ Prateek asked all the right questions, and so like the Based Space Podcast,

The Bittensor Network owes much of its efficacy to its carefully designed consensus mechanism, which has the following aims: To deter malicious activity amongst Servers in the network. The way it does this is by rewarding Servers in the network who are “trusted” with earning magnitude greater than low-trust Servers,

Subtensor, our network blockchain, is the foundational structure for our network - aligning incentives and streamlining the creation of machine intelligence. As the network has expanded, we have decided to integrate with an external system to support a smooth process of evolution and scaling. We chose to integrate with the

A few weeks ago, const and carro appeared on the Based Space Podcast. You can listen to it here: It went well, so we edited, transcribed and parred it down  for your reading enjoyment. Sometimes ideas are best expressed spontaneously, in the context of a conversation. To create something digestible,

"Anybody can hold TAO. Anybody can use TAO. Anybody can own it - it's read-write-own. Mining is just a little difficult, and that stems from the fact that AI is actually quite expensive." - const, Based Space Podcast, Aug 2022 Our recent switch to GPU registration has had some key

The Synapse update is the first major update to the Bittensor Network. By introducing synapse architecture, we have enabled the compression and transmission of logits, which dramatically improve both validation accuracy and overall network efficiency. The update also allows clients of the network to run inference directly -  decode rich

"The best place to stimulate innovation is in the market square, not in the administrative bureau." This was Friedrich Hayak, in 1945, arguing that centralized economies cannot drive growth efficiently. This is because a centralized body lacks access to the information needed to innovate and distribute resources efficiently. Decisive information