Ai Chain

AI-Chain | The Future of Decentralized AI Computation. Empowering Web3 with AI-driven smart contracts, secure data markets, and decentralized AI infrastructure.

[Ai Chain @AIChainLabs]

Data shouldn’t need a landlord.

[Filecoin @Filecoin]

Researchers rely on geospatial data, but access often depends on where it’s hosted.

Satellite and climate datasets are large and locked in specific clouds.

EASIER Data stores them on Filecoin so they remain accessible and verifiable without one provider.

[Ai Chain @AIChainLabs]

Data wants to be sovereign.

[Filecoin @Filecoin]

Researchers rely on geospatial data, but access often depends on where it’s hosted.

Satellite and climate datasets are large and locked in specific clouds.

EASIER Data stores them on Filecoin so they remain accessible and verifiable without one provider.

[Filecoin @Filecoin]

1/ Introducing Filecoin Onchain Cloud: an open, verifiable cloud built on content-addressed data, transparent service delivery, and programmable payments.

All onchain. No vendor lock-in.

[Ai Chain @AIChainLabs]

Permissionless beats polished every time.

[Flux I Decentralized Cloud @RunOnFlux]

Akash: GPU marketplace, AI workloads, permissionless, strong narrative, no full runtime ecosystem. Render: GPU rendering + AI compute, permissioned providers, strong in creative/AI.

[TAOisTheKey @TaoIsTheKey]

$TAO Subnet 64 - Chutes

Deep Dive: Subnet 64 – Chutes

Subnet Number: 64 (SN64)

What it does: Decentralized serverless AI compute platform—think on-demand inference without servers. Miners run “chutes” (models/tasks) on GPUs, keep hot models ready for scale, handle long jobs like batch inference/training. Heavy focus on privacy: TEEs (Intel TDX), remote attestation, encrypted disks, GPU passthrough—no peeking, even permissionless. Powers apps like Chutes Chat/Studio, OpenRouter #1 inference (85% cheaper than AWS), integrates with other subnets (e.g., RESI appraisals, Vocence voice). Open-source stack for verifiable confidential compute.

Owner: Led by Kyle Widmann (@KyleWidmann on X)—he’s the face, posting code drops and TEE updates.

Official handle: @chutes_ai.

Coldlkey/hotkey not public-listed, but community points to Kyle as core dev/owner.
Registration: Active since mid-2025 (exact block fuzzy—around July 2025 per demos/videos; locked as “Chutes” post-dTAO upgrade).

Current Stats (March 23, 2026, cross-checked taostats/CoinGecko):
•Emissions: ~1.61% (solid but trails Templar at 8.89%; alpha-heavy)
•Market Cap: ~$110–114M USD (4.6M+ circulating SN64)
•Price: $23.59 USD (0.088–0.089 TAO equiv)
•24h Volume: ~$1.95M
•Stake: ~13–14K TAO (lower than top dogs)
•Validators: 64
•Other: FDV ~$110M, 24h change +4.8% (volatile but green)

Recent Developments:
•March 23: Kyle open-sourced TEE VM stack—hardened k3s, NVIDIA passthrough, zero SSH. Big X thread, community praising “most secure open infra.”
•March 20: Cut token volume 45% on purpose—revenue per token +37.7%, per GPU +44.9%. Flywheel tightening: less waste, more profit.
•March 18: Vocence (SN102) deploys voice AI models privately on Chutes—cross-subnet collab.
•March 17: RESI (SN46) appraisals live via Chutes—real product, encrypted, cheap.
•Ongoing: Sponsoring GenLayer hackathon, TEE models (Qwen3, DeepSeek) public, Chutes Search/fictio launches.

Price Action (SN64 token):
•Last 24h: +4.8% (range $23.32–$24.90)
•Last Week: +4.4% (steady climb from ~$21.62)
•Last Month: +22.1% (recovery mode post-Feb dip)
•Six Months: ATH $104.42 (June 2025), low $13.04 (Feb 2026)—now rebounding but 77% off peak; strong utility-driven bounce.
Hierarchy: #2 by market cap ($110M+), just behind Templar ($106–111M). Owns 9–10% of total subnet pie ($1.2B). Emissions lower, but inference volume & integrations make it real-world leader—OpenRouter top dog, enterprise moat.

Investment Score: 8/10
Rationale: Proven product—cheaper/faster than AWS, TEE privacy edge, cross-subnet traction (RESI/Vocence). Revenue tweaks show maturity, not hype. Cap still small vs. centralized cloud giants; upside if inference demand explodes. Risks: emissions lag (less yield than Templar), volatility from volume cuts. But utility > narrative—great buy if you’re betting on decentralized AI serving real apps. Stake smart; this one’s building quietly strong. #TAO #Bittensor 🚀

[Ai Chain @AIChainLabs]

Gold had a 5,000-year head start and still got disrupted.

[The Wolf Of All Streets @scottmelker]

Gold vs Bitcoin isn’t theory anymore, it’s happening in real time.

@dmweisberger

[The Wolf Of All Streets @scottmelker]

Tokenized oil isn’t oil. It’s an arbitrage machine.

With @TEXASOL61 at @tryarchpublic!

[Ai Chain @AIChainLabs]

💡 🔹 Federated learning is built into AIoTChain.

Models train locally across devices, so insights can be aggregated without exposing raw IoT data.

$AIOT

[tecnoic.com @tecnoic]

También podemos clasificarlas por ámbito:

• IA
• Blockchain / registro distribuido
• Cloud nativa y edge computing
• Computación cuántica
• Biotecnología
• 5G, IoT y conectividad avanzada

No todas maduran al mismo ritmo.

[Shushant Lakhyani @shushant_l]

Tech trends that will keep rising in 2026 - 2030:

1. artificial intelligence (ai)
2. quantum computing
3. biotechnology and gene editing
4. brain computer interfaces
5. extended reality (ar, vr, mr)
6. internet of things (iot)
7. edge computing
8. blockchain and decentralized systems
9. 6g connectivity
10. robotics and autonomous systems
11. advanced battery technologies
12. clean energy & nuclear fusion
13. cybersecurity & privacy technologies
14. neuromorphic computing
15. digital twins

[Ai Chain @AIChainLabs]

Centralized AI is a single point of failure

[Sunset Collector @ApacheCn5007]

Democratization of Research: Individuals and small teams can contribute computing power to participate in cutting-edge AI research.

Model as a Service: Optimized models can be traded as NFTs on the blockchain, creating a new asset class.

[Ai Chain @AIChainLabs]

that blockchain + federated learning paper got me thinking.

what's the endgame when IoT devices train locally and prove contribution onchain? 🤔

[Ai Chain @AIChainLabs]

It's not that the internet is dead – the big platforms are just boring now. Real innovation has moved to decentralized networks.

[Massimo @Rainmaker1973]

Dead internet is no longer just a theory

[Ai Chain @AIChainLabs]

@Davincij15 I'd throw it into a few undervalued DePIN tokens and let it ride. Gotta support that decentralized infra buildout!

[Lark Davis @LarkDavis]

This about sums about this cycle for altcoins 😅

[Ai Chain @AIChainLabs]

Decentralized AI isn't a buzzword—it's the foundation for a future where intelligence isn't owned by Big Tech.

At AI-Chain, we’re building infrastructure where compute, logic, and ownership return to the people.
The next Internet won't just be smart, it will be sovereign.

[Ai Chain @AIChainLabs]

@deek_ever53287 Great question — and you’re right, UX has been a weak point for many decentralized projects.

[Ai Chain @AIChainLabs]

The AI boom is real — but so are the cracks beneath it.

From centralization risks to sky-high compute costs, current AI infrastructure is fundamentally flawed.
That’s where AI‑Chain steps in.

We just published a deep dive on how decentralized AI computing tackles these problems head-on.
No hype — just real solutions.

[CZ 🔶 BNB @cz_binance]

Crypto doesn't have borders.

[Ai Chain @AIChainLabs]

@virtualbacon Hard to pick just three, but I’d go with one that’s building future infrastructure.
Not enough people are watching decentralized AI — and that’s exactly why it might surprise everyone.
$AIC (AI-Chain) deserves a spot.

[Ai Chain @AIChainLabs]

🧠 Worth a read.

https://t.co/MwwT1Z76VZ