Joined June 2019
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Unlike traditional smart contracts, MEKs are designed to be:
- Composable: Agents can call other agents, forming emergent multi-agent systems
- Portable: Agents aren’t tied to any single blockchain or DePIN provider
- Autonomous: They execute, evaluate, and evolve based on signals, incentives, and policy
In short, MEKs are the execution primitive for decentralized AI.
(5/8)
JANCTION retweeted
I am delighted to be back in Dubai as a speaker at @BlLife_Forum
As we move forward in the #DePIN business, we must develop both Web2 and Web3. For example, the majority of GPU users are in Web2, mainly in Bigtech.
$JASMY has developed deeply in the Web2 area so far. We are preparing to expand into a new phase this year. We look forward to speaking with you on that day.
#JANCTION #JASMY
⚡️ CEO of @JanctionMGT & CFO of @JasmyMGT, @HARA_JasmyCFO and 200+ industry leaders speak at Blockchain Life 2025
Over 15,000 attendees from 130 countries meet on Oct 28–29 in Dubai.
🎟 Join the 15th anniversary of Blockchain Life:
blockchain-life.com/?utm_sou…
INFINITY AI NIGHT: Full Archive Now Available
We’ve released the full video archive of our conference featuring leading voices in AI and Web3 from around the world.
If you're looking to explore the forefront of technology and business, this is for you.
Watch here : youtube.com/watch?v=ih4BsI02…
Special thanks to:
Gold: @CoinLiquidity @NYANMARUCoin
Silver: @xstar_id @SoSoValueCrypto
Partner: @JasmyMGT @0xalphanet
#JANCTION #Jasmy #AI #Web3 #DePIN #GPU
JANCTION retweeted
19th, #JANCTION CTO Dr. Hollerit spoke at the Tokyo AI (tokyoai.jp/) event and gave a presentation on JANCTION's projects.
Many companies shared our vision and product structure, as well as our security measures and data storage, and we have begun concrete discussions with several of them.
AI startups are constantly seeking opportunities to access GPUs beyond the H100, while CFOs are verifying the synergistic effects of affordable, sufficient GPUs and increased corporate valuation.
Through approaches from engineers and researchers, collaborations with large corporations and academia, and extensive networks, we will expand our GPU sharing platform to keep pace with the surging market demand.
昨日、JANCTION CTOのDr. Hollerit が、 Tokyo AIのイベントに登壇し、JANCTIONのプロジェクト説明を行いました。
私たちの考えるビジョンとプロダクト構成、そしてセキュリティ対策やデータの保管に至るまで、多くの企業が共感してくれ、そのいくつかと具体的な話を開始できました。
AIのスタートアップは常にH100以降のGPUにアクセスする機会を模索していますし、CFOは安く十分なGPUと企業のValuationアップの相乗効果を検証しています。
技術者や研究者からのアプローチ、大企業やアカデミアへの連携、多くのネットワークを通じて、市場ニーズの過熱に負けないように、私たちのGPUシェアリングプラットフォームを展開していきます。
JANCTION retweeted
👀 A CRYPTO AI PROJECT WORTH WATCHING... Incubated by @JasmyMGT, @JanctionMGT's vision is part of the reason why so many are so bullish... Learn now 👇 bsc.news/post/janction-crypt…
The Future of AI Won’t Be Centralized — And Janction Knows It
Most people see AI as a race for better models. GPT-4, Claude, Gemini — who’s smartest?
But beneath the hype lies a more foundational question:
Who owns the infrastructure these models run on?
Right now, the answer is uncomfortable. A handful of tech giants control compute access, govern API rates, and determine who gets to build. The AI stack — from chips to inference — is vertically integrated and centrally controlled.
This isn’t just inefficient. It’s dangerous.
It creates:
- Single points of failure
- Political censorship vectors
- Innovation bottlenecks
- Uneven access to intelligence
That’s where Janction comes in.
Rather than becoming another decentralized GPU market, Janction operates at a higher layer: as a coordination engine for modular AI workflows.
Its core idea is simple but powerful:
→ Don’t just decentralize hardware.
→ Decentralize how intelligence is structured and routed.
Janction introduces a new paradigm through Proof of Contribution — a mechanism that rewards actual, verifiable compute work. Not uptime. Not staking. Not guesswork.
This allows idle GPUs anywhere — in gaming rigs, research labs, or edge devices — to plug into a task economy, where value is tied to contribution, not ownership.
It’s hardware-agnostic. Agent-first. Workflow-aware.
Think of it like a decentralized operating system for AI coordination.
In contrast to infra-layer competitors which focus on matching supply and demand, Janction focuses on how agents collaborate, how data is exchanged, and how computation becomes composable.
The goal isn’t just to build an open AI network.
The goal is to build an AI-native logic layer for the decentralized world.
And that’s what makes Janction so important.
Because the future of AI isn’t just about better models.
It’s about who gets to run them — and on whose terms.
Janction’s answer is clear: Open, Verifiable and Permissionless
