mercury
/mercury19
viva la computation mercuryprotocol.io
China is building some super cool shit. This AI chip uses photons for power.
Hope one day these will be on the Mercury Compute Network.
https://www.livescience.com/technology/computing/china-s-upgraded-light-powered-agi-chip-is-now-a-million-times-more-efficient-than-before-researchers-say
Hope one day these will be on the Mercury Compute Network.
https://www.livescience.com/technology/computing/china-s-upgraded-light-powered-agi-chip-is-now-a-million-times-more-efficient-than-before-researchers-say
Imagine a world where OpenAI is the only one with superintelligent AI.
A world where a company can bend reality to its will.
A world where truth no longer exists.
A world where to innovate one must sacrifice at the Altman altar.
If you think this fucking sucks check out what I'm building.
https://warpcast.com/pmarca/0x5f59346f
A world where a company can bend reality to its will.
A world where truth no longer exists.
A world where to innovate one must sacrifice at the Altman altar.
If you think this fucking sucks check out what I'm building.
https://warpcast.com/pmarca/0x5f59346f
Cheap compute --> God machines --> Eternal life
What is the most annoying thing today when it comes to training or fine tuning LLMs?
Today at Mercury protocol: I fixed a bunch of bugs in the p2p networking layer of our node and did some testing in various different deployment environments. Fun stuff :)
The verification problem is probably the hardest problem to solve in decentralized AI compute.
We found all other attempts unsatisfactory, so we decided to deep dive into recent research papers and try to come up with our own approach.
Our main realization is that solutions that rely on game theory or are too dependent on current AI architectures are not future proof.
For a robust solution, we have to go all the way down to the metal.
We found all other attempts unsatisfactory, so we decided to deep dive into recent research papers and try to come up with our own approach.
Our main realization is that solutions that rely on game theory or are too dependent on current AI architectures are not future proof.
For a robust solution, we have to go all the way down to the metal.
We have been silent for a while now.
It is not because we have nothing to say.
It is because we have been focused on building.
Creating a decentralized GPU network for AI is incredibly hard work, especially when you are a tiny bootstrapped team.
But we are making progress. Every fucking day. Expect us.
It is not because we have nothing to say.
It is because we have been focused on building.
Creating a decentralized GPU network for AI is incredibly hard work, especially when you are a tiny bootstrapped team.
But we are making progress. Every fucking day. Expect us.
We just published our new litepaper describing Mercury and what we've been working to solve recently.
https://www.notion.so/lajosdeme/Mercury-Protocol-Litepaper-25d71ebe3ca241ffb9e02008d9b4c2e4?pvs=4
https://www.notion.so/lajosdeme/Mercury-Protocol-Litepaper-25d71ebe3ca241ffb9e02008d9b4c2e4?pvs=4
The most likely way to limit open AI development is to control access to compute.
We are working hard to make this impossible.
We are working hard to make this impossible.
Cheap compute is essential to the flourishing of human consciousness