Hetu

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Hetu

Hetu

@hetu_protocol

Deep Intelligence Money https://t.co/3AdYL9xOpq

Palo Alto Katılım Şubat 2024
143 Takip Edilen29.6K Takipçiler
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Hetu
Hetu@hetu_protocol·
🚨 Live: Hetu 3.0 Deep Intelligence Money— a full upgrade for an AI-native abundance economy. Years of deep tech & research, now an agentic-ready production stack: 3-Money ( $HETU / $USDAI / $FLUX), EVM causal DAG, and verifiable #PoCW/ #PoSA. Auditable, financeable intelligence — unlocked. 🧵1/6 #DeepIntelligenceMoney #AI #AIagent
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Hetu
Hetu@hetu_protocol·
What happens when an AI agent needs to get paid for its work? Today: nothing. There's no protocol for it. Agents compute, but the value leaks out through centralized APIs, manual invoicing, and trust assumptions. Atara changes this in four steps: Submit → Orchestrate → Compute → Settle One task enters. A verified, paid, cryptographically attested result comes out. No middlemen. No gas fees. No manual reconciliation. Under the hood: multi-agent BFT routing picks the right solver. Recursive P2P dispatch matches GPU, data, and RL resources. Smart payment settles instantly in $USDAI. All coordinated over a Nostr event bus. The AI economy doesn't need another marketplace. It needs plumbing that works at the speed of inference. That's Atara. $HETU #HETU #Atara #DeAI #AgentEconomy #AIxCrypto
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Hetu
Hetu@hetu_protocol·
Realised vs unrealised gains per alpha position is the kind of data subnet stakers have been waiting for. Clean execution @taostats. Token-level visibility today. Agent-level verifiability next — that's the full stack.
taostats τ@taostats

-We have just pushed a massive dashboard portfolio update to allow: -- individual asset tracking with accurate earnings data on each asset -- alpha APRs on earning where the data allows -- delta on each and every alpha buy -- realised versus unrealised gains dash.taostats.io/portfolio There is so much to digest here that we will do a dedicated Spaces on it next week on Monday. But please go play.

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Crucible Labs
Crucible Labs@CrucibleLabs·
Security first mindset. Crucible integrates directly with Ledger, so your keys stay cold while Smart Allocator keeps you exposed to high-performing subnets. Automated rotations. Continuous rewards. Long-term alignment with the network.
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Hetu
Hetu@hetu_protocol·
TEE keeps the inside private. ✓ The harder question is what happens at the boundary: when the sealed agent acts on the world, who can verify the action actually came from that code? Privacy of compute + verifiability of behavior. Two halves of trustworthy AI infra.
0G Labs (Home of Infinite AI)@0G_labs

The cloud provider runs your code. Their engineers can debug it. Their lawyers can subpoena it. Their breach can expose it. 0G Private Computer: Intel TDX + NVIDIA H100. Your code runs sealed inside a TEE. Not even us. Live on mainnet.

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Kite AI Community and Ecosystem
Time for Poki to discover contributions🪁 Week after week, GKiters bring ideas and effort to the ecosystem. From creative contributions to organic support across the network. Many of you posted about Mainnet and Kite Passport We pulled together a few moments from the past week that capture that energy.📷🔥
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Hetu
Hetu@hetu_protocol·
Every protocol stack has a layer nobody talks about — the one that makes everything else work. For Hetu, that layer is Atara. Three tiers, one job: turn raw intelligent work into settled, paid, verifiable value. Tier A — Orchestration: multi-agent consensus routing, zero-fee smart payment, and $USDAI stablecoin settlement. Agents don't just compute — they get paid, instantly, at the protocol level. Tier B — Recursive compute: P2P data routing, reinforcement learning loops, GPU dispatch, encrypted relay, device-level endpoints. Every resource an agent needs, matched and delivered without a central coordinator. Tier C — Interface bus: Nostr event propagation and Flux/Power/Credit accounting. The internal nervous system that keeps orchestration and compute in sync. Atara is what lets an AI agent submit a task, get it routed to the right compute, pay for it, prove it happened, and settle the result — all in one pass, all off-chain. Not infrastructure-as-a-service. Infrastructure-as-a-protocol. $HETU #HETU #Atara #Middleware #DeAI #AgentEconomy
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OpenLedger
OpenLedger@OpenledgerHQ·
DeFi trading isn’t evolving. It’s being rebuilt. From user intent → orchestration → agent pools → execution → settlement This is what a production DeFAI stack looks like in 2026 Agents don’t just execute They reason, coordinate, and settle across chains 68% of new protocols are already moving here Read the complete breakdown: docs.openledgerfoundation.com/blogs/trading-…
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Hetu
Hetu@hetu_protocol·
If this resonates, we're looking for: — Researchers studying decentralized inference — Builders exploring on-chain AI agents — Teams that want to launch their own subnet The protocol is early. The opportunity is asymmetric. $HETU #HETU #Roadmap #BuildOnHetu #DeAI #Web3Infra #AIxCrypto
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Hetu
Hetu@hetu_protocol·
What we're NOT building: → Not a model training platform → Not a GPU rental marketplace → Not a chatbot wrapper with a token → Not a chain that produces blocks when nothing's happening Every piece of the stack exists to verify and price intelligent work. Nothing else.
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Hetu
Hetu@hetu_protocol·
We don't do roadmap hype cycles. But it's worth stepping back and sharing where Hetu is heading — and why.
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Hetu
Hetu@hetu_protocol·
The last exponential curve was block space. The next one is verified intelligence. Every cycle produces a new unit of scarcity. 2015: smart contract execution. 2020: DeFi liquidity. 2025: AI inference that can prove it did real work. We're not serving an existing market better. We're building the settlement layer for a market that most people still think is a demo.
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Hetu
Hetu@hetu_protocol·
“TAO routing decentralized compute toward real AI output resonates deeply with Hetu’s history-first agent infrastructure. Memory + verifiable context is the next layer of the agent economy. Deep Intelligence Money is forming 🚀 $TAO $HETU”
WallStreetBets@wallstreetbets

x.com/i/article/2049…

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Hetu
Hetu@hetu_protocol·
Agents that remember outperform agents that guess. New research accepted at RSS 2026 shows that replacing random noise with past actions as the starting point for policy generation leads to faster, more accurate, multi-modal agent behavior. This isn't just a robotics result. It's a design principle: → In prediction markets, agents conditioned on trade history outperform cold-start strategies → In compute orchestration, task routing based on execution logs beats random allocation → In any agent system, causal context is the cheapest performance gain available This is exactly why Hetu's infrastructure is history-first. VLC records verifiable causal history. PoCW ensures every execution is traceable. Agents on Hetu don't start from noise — they build on verified context. The future of agent infrastructure isn't about bigger models. It's about better memory.
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