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@yetantyo_

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Katılım Ocak 2024
289 Takip Edilen164 Takipçiler
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sya
sya@arsenatasyas·
Kenapa data tuh sekarang penting banget di olahraga? Salah satunya karena Moneyball! Pernah denger term ini kan? Yuk, bahas gimana Moneyball di bola versi mudah dimengerti yaa (semoga) 😋🙏🏻
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Bio Pauline
Bio Pauline@biopauline·
Selamat mudik idul Fitri, saya akan kembali ke kota saya kamerun.. sebagai bek biasa
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P E N G@yetantyo_·
Flexnodes are the heroes. They don't just store; they compute and propagate. The more Flexnodes, the faster the @get_optimum Highway becomes
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P E N G@yetantyo_·
The "Gossip" problem: In standard networks, nodes talk too much, causing congestion. @get_optimum uses smart-routing to ensure the gossip is lean and mean.
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P E N G@yetantyo_·
Why Libp2p compatibility matters? It means developers can migrate to @get_optimum without rewriting their entire stack. Plug, play, and accelerate.
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P E N G@yetantyo_·
Traditional P2P: "Do you have block 101?" @get_optimum mump2p: "Here is a coded stream of block 101." Efficiency isn't an option, it's a feature.
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Yuk Berisik
Yuk Berisik@sharpandshark·
Detik² truk barang mau ikut gabung eeeh kok klen pada bubar. Lokasi; Bundaran Siyono, Gunung Kidul. Yogyakarta. Melu-melu kok bubar 😄
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Zebaoth
Zebaoth@0xZebaoth·
I am 21 years old • no job • no car • 5′6 • live with my parents • love @ritualnet is it over for me ?
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Komisi Wasit
Komisi Wasit@MafiaWasit·
Bajilak, senjata andalan nenek moyang kita kayak Banaspati pun ga bakal bisa menangkal misil hypersonic ini
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P E N G@yetantyo_·
Gritual Meet Infernet, @ritualnet first product an SDK and node stack that lets smart contracts request AI inference on demand. Real AI compute for onchain apps. No shortcuts. No fake “AI-powered” claims. No wonder Siggy loves this stack
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Zebaoth
Zebaoth@0xZebaoth·
Most AI x Crypto projects are just boring Ritual is building something fundamentally different Here's why it's the strongest infrastructure play in the space right now : • Most projects bring AI on top of crypto. Ritual brings AI inside crypto, directly into smart contracts via Infernet • You don't need to trust the output. ZK proofs verify that AI computations are correct without exposing the model • It's not chain-specific. Any L1, L2, or rollup can use Ritual as an AI coprocessor • Backed by Archetype and Polychain, two of the most credible VCs in crypto The vision is really simple but massive : Every smart contract should be able to access AI. @ritualnet is building the infrastructure to make that possible
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P E N G@yetantyo_·
Gmum! Let’s talk about Random Linear Network Coding (RLNC). Unlike TCP, RLNC doesn’t wait for ACKs. It sends coded packets so receivers can reconstruct data even with packet loss. An innovation developed by @get_optimum
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Noahxbt
Noahxbt@Noahxbt1·
Day 35 of 60 days Digital Art Series on @ritualnet Proof of Art attached in comments Discord I'd - Paabi2
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P E N G@yetantyo_·
@yourinuu From transaction chains to execution layers that’s the real evolution Ritual is pushing. Gritual serr
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yourinuu (❖,❖)
yourinuu (❖,❖)@yourinuu·
Blockchains weren’t designed for AI. They were designed for simple, deterministic transactions. AI doesn’t behave like that. It’s heavy, probabilistic, and expensive to recompute across every node. Forcing it into legacy virtual machines breaks efficiency and kills scalability. That’s why @ritualfnd built a different approach. Modular compute lets specialized nodes handle AI workloads, while the network focuses on verification instead of redundant execution. You get real AI execution without turning the chain into a bottleneck. This is the shift from transaction chains to execution layers. @ritualnet is building for the workloads that actually matter next. | @joshsimenhoff | @Jez_Cryptoz |
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yourinuu (❖,❖)@yourinuu

The uncomfortable truth about AI on-chain. Fully verifying every AI computation is expensive. But blindly trusting it defeats the whole purpose of crypto. So Ritual introduces something smarter: probabilistic verification. Instead of re running the entire model, the network verifies execution using statistical proofs. You get strong confidence the model ran correctly without paying the full cost of recomputation. This makes large scale AI actually practical on-chain. Lower cost. Higher scalability. Still verifiable. Probabilistic Proof Machine Learning (PPML) is part of Modular Computational Integrity on @ritualnet Not every workload needs maximum cryptographic weight. Sometimes confidence, backed by math and incentives, is the most efficient path forward. This is how AI becomes usable at real scale in crypto. | @ritualfnd | @joshsimenhoff |

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stanelope | Ritual (❖,❖)
Things are getting more exciting with Ritual Network. With lots of events and space-related discussions, the community continues to grow. Interest in the project is increasing, and people are becoming more curious and talkative about it. The community, team, and developers are building, vibing, sharing information, and creating new infrastructure that will provide a solid blockchain foundation that features AI with enhanced capabilities. Ritual is building an expressive, EVM‑compatible Layer 1 blockchain that supports heterogeneous compute of any kind, including AI workloads. It enables developers to integrate advanced computational models directly into blockchain applications, offering a trustless environment for on‑chain AI inference, machine‑learning fine‑tuning, model training, cryptographic proofs, and other complex tasks. Its transparent, decentralized, and censorship‑resistant architecture makes Ritual a foundational layer for AI‑powered smart contracts, dApps, and future computational workloads. #ritual @ritualnet @ritualfnd
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Badebest (❖,❖)
Badebest (❖,❖)@jen_bobz·
Gritual, 🕯️ Sparks of magic shoot into the neon sky, uniting ancient knowledge with decentralized AI infrastructure. Asynchronous execution reverses time, allowing AI inference to run in parallel without the limit of blocks. Rituals ensure this process is secure, decentralized, and scalable for the future of AI on the blockchain.
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