

RamaXwhale | (❖,❖)
3.5K posts

@RXwhale
Web3 Content Creator & Community Ambassador. DeFi • AI Onchain • Crypto Education | fam : @Ritualnet




❖ gRitual ❖ Peace sign, full integration. Smart agent on Ritual connect AI, wallet, and cross chain action executing seamless across system without breaking flow. @ritualnet @ritualfnd






@ritualnet identifies 3 core bottlenecks holding back AI research agents today: → Single-GPU compute limitations → Generalization gap for long-horizon tasks → Single-turn operator capability @ritualfnd @ritualdigest




Gritual everyone 🕯️ Happy new week to all, siggy has killed who's any fudder on ritual @ritualfnd @ritualnet @Jez_Cryptoz @ritualcommunity


masuk lah ketika orang lain ragu keluarlah ketika orang lain mulai membicarakan. rumus nya sama CT bilang early = basi $RAVE



To put it plainly, Random Linear Network Coding (RLNC) makes what seems to be a complicated process much simpler for mump2p. Typically, when a node sends a block of data from one node to another, the sender must first send all of the contents of that file to the recipient before the recipient can then send any portion of the file to anyone else, like downloading a movie before sharing it, which takes a lot of time. With RLNC, however, this entire model is completely reversed. Since mump2p breaks all of the files into many small coded pieces, the moment a node receives even a few coded pieces, it can begin forwarding those pieces along to other nodes, even if it has yet to receive the entire un-coded version of that block. The network essentially becomes a large swarm where data flows in multiple directions at once rather than in a single line. This is the primary reason that @get_optimum has selected RLNC for use in the mump2p program, it significantly reduces the amount of time you have to wait for data to arrive, improves reliability, and keeps overall throughput high during periods of very high traffic. Less waiting time, greater parallelism, and faster propagation of data throughout the entire network.


The bottleneck in Web3 isn’t just execution or consensus. It’s data transmission. RLNC introduces a shift: from rigid delivery → to flexible reconstruction Meaning: data doesn’t need to arrive perfectly… just sufficiently. That’s a completely different paradigm. @blockchainjeff | @cryptooflashh | @aqccapital | @shariaronchain



