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we're on the brink of a new era in the AI and web3 fields. decentralized inference is no longer a dream, but it must be made accessible to everyone.

let's democratize together the access to AI: this is the DCI Network - our latest R&D project.

we're on the brink of a new era in the AI and web3 fields. decentralized inference is no longer a dream, but it must be made accessible to everyone.

let's democratize together the access to AI: this is the DCI Network - our latest R&D project.

https://mirror.xyz/orbulo.eth/svv4yQCUHiCY1vj4RYlYF7IpWMYtLc1ItjtXIr-D9t0

sleep-deprived serial hacker 🧑🏻‍💻 trying to build cool shit with web3 & AI | @urbeEth 🐺 | organizer @ETHRome 🏛️ | strong opinions, weakly held

Is this grid computing all over again?

Also, seeing the multiple nodes doesn’t this make the model fundamentally uncompetitive vs using a single centralised server, both due to latency between nodes and duplication of calculations between nodes in individual layers?

Interesting read, I’m just puzzled about questions above.

Purple 🟣 #134
Building ScoutGame & CharmVerse.io

Love to talk about new ideas, build and use AI daily

Thanks for sharing!

Given what you know about the field, who are the people that want / need decentralized inference, and what are some unexpected / emergent use cases this gives rise to?

everything that is decentralized and involves calculation can be considered grid computing. also almost everything is uncompetitive vs using a single centralized server as well.

an interesting point is that your two questions could also be directed at Blockchains as well, and at the end of the day is just a matter of what users want in terms of decentralization, privacy and costs.

and like blockchains, latency can be improved in the future, as well as any possible redundant computation. 

this network will be for people that want decentralized inference and its perks, not for everyone.