Hypertensor @hyper_tensor

Another update complete: Frameworkized Subnet Template The subnet template has evolved from a reference implementation into a developer framework for building decentralized AI networks on Hypertensor. This update introduces reusable framework components that handle the common decentralized infrastructure layer, allowing developers to focus on application logic. What's included: • Reusable server framework for P2P networking, peer discovery, consensus startup, telemetry, P2P connection management, and node lifecycle • Merkle DAG framework with signed immutable DAG nodes, multi-head support, state materialization, synchronization, reconciliation, orphan recovery, and pluggable storage backends • DAG + GossipSub base classes that handle publishing, validation, replication, synchronization, parent selection, and message routing • Reusable request/response protocol framework for P2P stream protocols and DAG synchronization • Network API bridge for external services, AI workers, dashboards, and local applications • Consensus, telemetry, scoring, and runtime utilities for production decentralized AI operations • Example implementations for DAG replication, peer state publishing, commit/reveal workflows, monitoring, and server lifecycle management The goal is simple: Give developers the substrate required to build a decentralized network that handles proof-of-useful-work AI workloads, so that builders can focus on application-layer logic. This provides a reusable foundation for decentralized inference networks, agent systems, marketplaces, data networks, and other distributed AI applications built on Hypertensor.

New update complete: Validator-Based Ownership & Staking This update introduces validators as the primary identity layer under the entire Hypertensor umbrella. Previously, subnet nodes were independently registered, and users' stakes were delegated to them on a per-subnet basis. Now, node operators first register a validator identity that can own and operate nodes across multiple subnets. This makes validators easily identifiable participants to whom users can directly delegate stake. Previously, if a validator operated across multiple subnets, delegators had to discover and stake to each node separately. Now, delegators stake directly to validators and receive emissions generated from all subnet activity associated with that validator. The reputation system also benefits from this change. Instead of reputation being isolated to individual subnet nodes, reputation is now accumulated at the validator level. Validators build a track record across all of the networks they participate in, allowing delegation, rewards, penalties, and consensus performance to contribute to a single reputation profile. Why this matters: • Establishes validators as first-class network participants • Creates a foundation for validators to operate across multiple decentralized AI networks • Aggregates validator reputation, rewards, penalties, and consensus participation • Aligns validator incentives across all subnets they participate in • Enables delegation at the validator level and subnet level, making the data structure more coherent and staking decisions easier for users This update represents a significant optimization of the validator and delegator architecture and its scalability, creating a unified reputation, delegation, and rewards system.

We've been building the decentralized AI economy, the coordination layer for the future of AI. The system has been purposefully iterated in stages. Feature by feature. Here's what we've done: Testnet Vitalik→ Focused on the fundamental consensus mechanism where peers formed consensus based on the LLM transformer blocks they hosted, not a state, but actual AI computation. Testnet Gavin→ Introduced economic mechanisms and refined consensus logic, turning early experiments into an economic system that can coordinate real participants. Overwatch Agents→ We introduced Overwatch Agents, an evolving set of decentralized, staked participants who serve as agents that join each AI network at the P2P level, validate consensus, validate on-chain vs. in-subnet state, and score networks based on decentralization, consensus accuracy, and benchmarking. They act as an evaluation mechanism, benchmarking each AI network. Testnet Tensor→ Focused on testing the full-featured blockchain, including the final consensus mechanism, delegate node staking, and many other iterations of features. P2P AI Template→ A decentralized AI framework for deploying deAI networks using DHTs, gossip, noise encryption, PoS, and more features. This is a blockchain tech stack for building AI networks, but it's purposefully built for AI with no computational limitations, unlike blockchains. This ensures the future of AI is decentralized, reproducible, verifiable, and scalable. This is the development backbone that makes it easy for devs to deploy decentralized AI networks. Testnet Hoskinson→ Testnet Hoskinsons' main purpose was to test the P2P AI template in public with multiple teams and partners running nodes to ensure it was ready for production. All of this leads to one point: We are entering the final phases. We're now actively working with external teams and developers to build the first set of AI networks that will be deployed to the ecosystem. People wonder, what makes an AI network decentralized?: - verifiable decentralization - peer-to-peer execution - trustless coordination Built on the P2P AI Template. Secured by the network. Real deAI.

Testnet Hoskinson is approaching its final stages. Our primary focus during this phase has been testing the decentralized AI subnetwork template and framework. This included validating peer coordination, gossip propagation, and fault tolerance under continuous operation. We are now transitioning into the next stage of development: deeper blockchain testing. This phase will focus on validator incentives, smart contract deployment, and precompile functionality. One of the key properties we tested in the subnet framework was fault tolerance. Because each subnet uses a technology stack similar to modern blockchain networks, it must meet enterprise-grade reliability standards. During live testing, the subnet has been running uninterrupted with: - 1,900,800+ pubsub heartbeats - 4,561,920+ messages gossiped between peers With subnet template testing nearing completion, development is expanding into additional areas of the protocol, including: - Blockchain validator rewards - Smart contract deployment - Precompile smart contracts This marks the transition from infrastructure validation toward preparing the ecosystem for the first real subnets to deploy. In parallel, we are preparing for the stage that follows testnet, building the first subnets alongside other great teams in the AI space that will launch on mainnet.

Testnet Hoskinson 2.0 is now live. This upgrade introduces several protocol and node-level improvements: Core updates - Delegate Accounts for nodes - New node reputation events - Fixed reputation update bug affecting removed nodes - Improved peer system alignment with modern P2P standards - Expanded functionality in precompiled smart contracts Delegate Accounts Delegate Accounts allow nodes to specify a separate address to receive a configurable portion of node emissions. This enables: - Reward routing to teams or operators - Contract-based logic for emissions - Business and organizational distribution models - Separation of operational and treasury accounts Delegate Accounts are optional and fully controlled by node operators; the delegate account holder can update the delegate account address themselves. This is an infrastructure-level primitive designed to enable more flexible and scalable node operations. A key step toward production-grade node coordination and scalable network operation has been achieved!

Hypertensor @hyper_tensor

5 months ago

Testnet Hoskinson Update ✅Over 250k blocks processed ✅Over 2,500 epochs We're not stopping! We're updating the subnet template: 🔹 P2P connection maintenance to ensure peers are always connected to at least 1/4 of the maximum number of peers 🔹 Introducing a gossipsub

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DHTs are great for lookups, but they don't scale when many peers repeatedly request the same data. Each GET triggers multiple queries across the network, creating redundant traffic and bottlenecks. While we still utilize a DHT for more efficient and optimized peer connectivity, we're optimizing subnets to scale to thousands and millions of nodes, enabling us to provide decentralized AI networks to billions of users. GossipSub flips the model: data is published once, propagated through a mesh, and stored locally by peers. No re-fetching, lower latency, reduced bandwidth, and predictable load, which is why blockchains rely on gossip for real-time data sharing.

Big upgrades are landing 🚀 We're rolling out a new subnet template built around three pillars: Connectivity. Scalability. Security. This is about making decentralized AI networks actually work at scale. 🔗 Connectivity Random Walk peer discovery Nodes now passively explore the network by querying random keys in the Kademlia DHT. Why this matters: • Continuous peer discovery • Fresh routing tables so nodes always know which peers are reachable and how to find them • No central coordination • Stronger long-term connectivity Connection maintenance Each node actively maintains connections with up to 64 peers, ensuring sufficient overlap and resilience across the subnet. ⚡️ Scalability & Efficiency The old model leaned heavily on DHT records as a global database. That doesn't scale. When every peer queries everything, everyone pays the cost. Enter GossipSub. We've implemented GossipSub, a peer-to-peer pubsub protocol that forms a stable mesh for real-time message propagation. What changes: • Messages are shared once, then gossiped • No constant record fetching • Lower latency • Dramatically reduced load This is how blockchains efficiently broadcast transactions, now applied to subnets. 🔐 Security In addition to proof-of-stake, we've incorporated Noise into the networking stack. Noise establishes encrypted, authenticated peer-to-peer channels with forward secrecy via cryptographic handshakes. Forward secrecy (or Perfect Forward Secrecy) ensures that even if a node's long-term private keys are compromised in the future, past session data remains secure. Secure by default. High performance. No trade-offs. This is the future of AI. P2P. Trustless. Decentralized.

Hypertensor @hyper_tensor

5 months ago

Testnet Hoskinson Update ✅Over 250k blocks processed ✅Over 2,500 epochs We're not stopping! We're updating the subnet template: 🔹 P2P connection maintenance to ensure peers are always connected to at least 1/4 of the maximum number of peers 🔹 Introducing a gossipsub

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@hayotensor HUGE

Testnet Hoskinson Update ✅Over 250k blocks processed ✅Over 2,500 epochs We're not stopping! We're updating the subnet template: 🔹 P2P connection maintenance to ensure peers are always connected to at least 1/4 of the maximum number of peers 🔹 Introducing a gossipsub protocol for P2P communication 🔹 Adding random walk functionality to the KAD-DHT 🔹 Adding support for Secp256k1 and ECDSA on top of Ed25519 and RSA 🔹Introducing a noise protocol for secure P2P traffic Adding additional features to the blockchain: 🔹Introducing delegate accounts to nodes for business logic 🔹More events These updates will be pushed and tested in the coming weeks.

Hypertensor @hyper_tensor

6 months ago

TESTNET HOSKINSON IS LIVE We named it Testnet Hoskinson as an ode to one of the original visionaries of blockchain, Charles Hoskinson (@IOHK_Charles). This is a major step forward for the Hypertensor network. Help us battle-test: - The core blockchain engine - Subnet template

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@21RoundTable @wildsagelabs @wildcommie 👀

It's a $TENSOR Christmas in the @wildsagelabs Bunker. #Testnet

WildSage Labs | Validator | VaaS | IaaS @wildsagelabs

6 months ago

We're blocking! $TENSOR ... we're working on shiny new @hyper_tensor block explorer too 😉

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We're blocking! $TENSOR ... we're working on shiny new @hyper_tensor block explorer too 😉

Hypertensor @hyper_tensor

6 months ago

TESTNET HOSKINSON IS LIVE We named it Testnet Hoskinson as an ode to one of the original visionaries of blockchain, Charles Hoskinson (@IOHK_Charles). This is a major step forward for the Hypertensor network. Help us battle-test: - The core blockchain engine - Subnet template

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@sundardharan3 @IOHK_Charles 🤫

TESTNET HOSKINSON IS LIVE We named it Testnet Hoskinson as an ode to one of the original visionaries of blockchain, Charles Hoskinson (@IOHK_Charles). This is a major step forward for the Hypertensor network. Help us battle-test: - The core blockchain engine - Subnet template framework scalability You can participate by running a subnet validator node: docs.hypertensor.org/subnet-templat… As we focus on testing the decentralized subnet templates' scalability, which is a framework for building decentralized intelligence, no GPU is required — CPU-only machines are fully supported.

@AIDePinDaily @IOHK_Charles @VitalikButerin We named one after him too! x.com/hyper_tensor/s…

Hypertensor @hyper_tensor

2 years ago

🚀 We're excited to unveil the first Devnet for Hypertensor - Hypertensor Vitalik! 🥳 Named after the pioneer of defi. Join us in shaping the future of AI as we pioneer the true decentralized AI economy! 🔗 docs.hypertensor.org

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@Joey_gsh @hayotensor @IOHK_Charles It is!

@teegeedingdong @IOHK_Charles 🤗

@maximilianlang @IOHK_Charles 👏👏

@scottwalker99 @IOHK_Charles Thanks Scott! 😁

@21RoundTable @wildsagelabs Thanks for helping out!