@AlgodTrading I'm looking forward to $TENSOR. If they did truly solve for weight copying, and also give subnet owners more control, it could do really well. time will tell..
Basically a blockchain for AI (but uses a DAG)
Instead of transactions, it's the inference lifecycle that gets published to the dag chain
Visual needs to be fixed a bit but it works where each request is the parent node/block and the lifecycle of the request (acceptance, running, complete, etc.) are the children blocks.
Then each request uses the previous request as the parent
No one will care whether you bought $TENSOR at $5 or $15 once it’s trading at $200+.
You were positioned , that’s all that matters. @hyper_tensor
$NOCK $OCT $VVV $AGRS $OLAS $QUBIC $SERV $PRL $TIG $ZEC
@hyper_tensor "delegated node staking "
Boooooom 🔥
#HYPERTENSOR
$TENSOR is now in the final stages of a very pragmatic main net launch straight into multiple utility concepts , Angels and VC all gone, no CEX on board yet either...... It's a crypto christmas party @$9 a gift in Q2
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.
@hyper_tensor $TENSOR
Hypertensor is a distributed intelligence platform for decentralized AI applications—open and verifiably decentralized AI protocols run by the world.
On a more technical level, Hypertensor is a network of pools of sub-networks (known as subnets). A subnet is a distributed network of computers (known as nodes) running software related to AI that can verify AI-related work. Nodes in these subnets either compete or collaborate on AI tasks and evaluate each other's quality of performance in real time.
On a higher level understanding, Hypertensor is a decentralized AI economy. Currently, companies such as OpenAI, Anthropic, ElevinLabs, and xAI are among the top companies in the centralized AI economy. What if OpenAI allowed anyone to host LLMs and run inference tasks in return for income, or Anthropic allowed anyone to validate inference tasks in return for income?
Testnet Hoskinson is complete! 🎇
All core blockchain infrastructure and decentralized AI networking layer testing have been completed!
This milestone marks the transition from foundation-building to ecosystem expansion.
What we accomplished:
• Over 1,000,000 blocks validated
• Over 2,000,000 pubsub heartbeats processed
• Over 5,000,000 messages successfully gossiped across the network
• Fault-tolerant P2P connectivity validated under real conditions
• End-to-end decentralized AI network coordination confirmed
The future is decentralized, trustless, and P2P AI, and we've unlocked that.
⇾ Production-grade experimentation for agent swarms and model coordination
⇾ Scalable on-chain incentives for AI infrastructure
⇾ Composable decentralized AI services pooled together across a single network
We now move from proving the network… to building on it.
The future of AI starts now.
The future of AI is trustless.
The future of AI is peer-to-peer.
The future of AI is private.
$TENSOR will be the new standard in #decentralizedAI
Nothing comparable out there.
$TAO $KTA $QUIL $GRAY $DEAI $QUBIC $NMT $TIG $VERTAI $XMW $XEL $STRDY $EAI $FLT $KTA $DIS $PVS $FLOCK $TORUS $COAI
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.