Bittensor

Latest — Sep 20, 2022

On Consensus

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,

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Podcast Appearance: Based Space Podcast Appearance ~ Compressed

stability AI dream studio: "bittensor neural network. based space podcast. our vision. black white pink blue. flowing and glowing. 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

On The Importance of GPU Mining

"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

On Synapses

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

On Creating a Cognitive Economy

"The best place to stimulate innovation is in the market square, not in the administrative bureau." This was Freidrich 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

Podcast Appearance: On the Chain ~ Matt Hamilton

Podcast Appearance: Toward Data Science

On Machine Intelligence as a Commodity

An inflection point occurred in 2012 when a convolutional neural network named Alex Net achieved groundbreaking performance on the ImageNet competition. This event triggered the golden age of machine intelligence that we are currently witnessing, featuring a Cambrian explosion of new neural network approaches able to overcome purely statistical methods

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