Wanderclyffe - bci/acc

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Wanderclyffe - bci/acc

Wanderclyffe - bci/acc

@Wanderclyffe1

AI/ML, distributed systems and open source technologies Currently in Marcom @oceanprotocol

Ocean เข้าร่วม Mayıs 2021
858 กำลังติดตาม1.2K ผู้ติดตาม
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🍓🍓🍓@iruletheworldmo·
we are less than 4 hours from the most important day in the universe. not remotely hyperbole.
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Ocean Network
Ocean Network@ONcompute·
Barry changed his life after he found Ocean Network Now it's time for your GPU to be like Barry Stay tuned🐙
Ocean Network tweet media
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Wanderclyffe - bci/acc@Wanderclyffe1·
There is nothing like Ocean Network right now: A dashboard from where you can rent really affordable high quality remote compute, and take it in your IDE via Ocean Orchestrator to run your workload All while you pay per use from your Web3 wallet $ocean Oncompute.ai
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Ocean Network
Ocean Network@ONcompute·
The best AI builders aren't waiting for compute access anymore. They're on Ocean Network, spinning up NVIDIA H200s for under $3/hr and going from zero to training run in minutes. Right now, you get $100 in free compute to get started, and setup takes under 5 minutes: 1. Open the Ocean Network dashboard: dashboard.oncompute.ai/run-job/enviro… 2. Pick your GPU by specs: CPU/GPU, RAM, disk space, and duration 3. Run your job on a pay-per-use basis Claim your $100 in free compute and spin up an H200 today: docs.oncompute.ai/ocean-network-…
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Tj Dunham
Tj Dunham@RealTjDunham·
I am not suicidal. I love God, I love my family, and I love people. I believe that AI needs to be owned by the people. To this end, I have developed a blockchain that is fully decentralized, where anyone can spin up a node and run an AI model sharded across the chain All inference passes consensus, and you are not required to trust any one model provider.
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Ocean Network
Ocean Network@ONcompute·
AI agents are built to make things faster and more efficient. Their training should be too. Instead, you're either overpaying for compute or stuck in GPU queues just to run inference or pretraining. Fix that with Ocean Network: 1. Define your requirements: Pick the exact node you want and run jobs with pay-per-use pricing and escrow-secured payments. 2. Explore before you commit: Browse the most powerful nodes in the network through the dashboard leaderboard before running a single job. From training and inference to agent workflows, efficiency belongs at the compute layer too. Start running on Nvidia H200s for under $3/hr: dashboard.oncompute.ai/run-job/enviro…
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Ocean Protocol
Ocean Protocol@oceanprotocol·
When @trentmc0 joins a conference, you’re not just getting an AI take. You’re hearing from someone who worked on AI back when it meant modelling real-world systems, and later on the actual tech that helps design the chips everything runs on today. And we mean everything, even generating those cat memes you’re so fond of. So when he connects today’s AI wave to what’s next [BCI/ACC and beyond] it’s less prediction, more continuation. Lugano should be a good one 🌊
Decentralized Lugano@decentrallugano

One of the defining voices at the intersection of AI, data, and decentralized infrastructure is coming to Decentralized Lugano 2026. @trentmc0, Founder of @oceanprotocol.

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Ocean Network
Ocean Network@ONcompute·
That's it. Code-to-node in one click, right? So... Ready to run your first job? Now you can experience complete hardware flexibility and fiercely competitive pricing. Open the ON dashboard, pick your resources, then launch in Ocean Orchestrator. Turn it ON: oncompute.ai P.S. Have idle GPUs? Monetization for independent Node Runners is coming soon! 👀 (8/8)
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Ocean Network
Ocean Network@ONcompute·
Ocean Network Beta is officially ON ⚡️ This is the moment we've been building toward: Run AI workloads on pay-per-use NVIDIA H200s as low as $2.16/GPU hour, straight from your IDE with a one-click code-to-node workflow. Head on to oncompute.ai to claim your $100 complimentary credits in Beta and turn your first job ON! (1/8)
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Wanderclyffe - bci/acc
Wanderclyffe - bci/acc@Wanderclyffe1·
"Context graphs" Such simple name, massive digital impact! AI models don't need more compute and data, they need more crowdsourced context knowledge graphs so that agents and models can have a credible source of info. Who is building that frontier: @origin_trail $trac
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Wanderclyffe - bci/acc@Wanderclyffe1·
In all the crypto depression right now, there are still projects that are building up: 1) @oceanprotocol : Pay-per-use remote compute GPUs 2) @origin_trail : Crowdsourced knowledge for verifiable AI outputs & agents 3) @eigencloud : sovereign verifiable AI agents $ocean $trac
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LifeMathMoney ₿ | Unapologetic Truths.
LifeMathMoney ₿ | Unapologetic Truths.@LifeMathMoney·
You need to play at least 1 explosive sport a week. - Sprinting - Badminton - Squash - MMA The body needs to be able to handle random unpredictable movements, jumps, turns, etc. without having eyes on the ground Lifting weights and cardio is great but they don't cover this important factor of physicality
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Wanderclyffe - bci/acc
Wanderclyffe - bci/acc@Wanderclyffe1·
@ema_lovsin Like an agentic swarm :)) Where one honeybee ( AI agent) is useless, but a swarm created a whole new story and higher intelligence
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Ema Lovšin
Ema Lovšin@ema_lovsin·
AI isn’t going to get meaningfully better just because agents remember more. The real shift is when they start sharing context - picking up where others left off, understanding why decisions were made, and actually building on that over time. That’s what unlocks real progress, across everything from software to healthcare to finance. So yeah, it’s not about better memory. It’s about intelligence that compounds. That’s why shared context graphs are such a big deal, and why @origin_trail matters here.
Brana Rakic@BranaRakic

x.com/i/article/2040…

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ilija
ilija@ilija2047·
@Wanderclyffe1 @oceanprotocol @origin_trail @eigencloud good list! I would add @Elacityofficial to this team is been consistently shipping and putting in overtime lately underrated builder in this time right now must be supported 🤝 x.com/sash__mit/stat…
Sash@sash__mit

We just got our Apple Developer licence approved. This means we can now distribute ElastOS as a proper Mac app, no terminal, no commands. Just download, double click, install, and your ElastOS computer is running. With this "virtual hardware box" sofrware, you can turn it on and off and access it from any browser, anywhere in the world. We also have huge progress on Elacity Markets coming. Our new security tested, decentralised digital rights management v3 protocol means you can encrypt anything, text, images, audio, video, even 3D models, inside your ElastOS computer, tokenise tradable access rights via smart contract, and publish directly from your own decentralised node. This means: Own Your Own Data Own Your Own Distribution Own Your Own Market These are important offerings! In this video I show uploading a video, setting rights, transcoding to AV1, encoding, indexing, issuing a smart contract, then validating rights and playing it back from a secure runtime. This gives everyone a business model in Web3. And it's not just individuals trading value, AI agents can participate in these same markets too, as the power of the OS is increasingly abstracted into agentic chat/voice. Exciting times for ElastOS. My team at Elacity are grateful to be building this, we currently have 102 nodes on the network with lots of exciting new features coming.

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Wanderclyffe - bci/acc@Wanderclyffe1·
A shared, trusted brain for the internet that stores crowdsourced knowledge as verifiable, connected data (with clear ownership & sources) instead of random information It's what @origin_trail ( $trac ) is about Also, article is almost ready, stay tuned :))
Wanderclyffe - bci/acc tweet media
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Save Invest Repeat 📈
Save Invest Repeat 📈@InvestRepeat·
Use the weekend to build the life you want. Not to escape the life you have. Read that twice & think on it. Hopefully, this is the weekend you start building that life. ☀️
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Machina
Machina@EXM7777·
the most simple Claude Code setup i've found takes 5 minutes and gets 99% of the job done... instead of one AI doing everything, you split it into three: Agent 1, the Architect > reads your request > writes a technical brief > defines scope and constraints Agent 2, the Builder > reads the brief > builds exactly what it says > nothing more, nothing less Agent 3, the Reviewer > compares the output to the brief > approves or sends it back with specific issues if rejected... the Builder fixes and resubmits this loop catches things a single agent would never flag because it can't critique its own decisions (pair it with Codex using GPT-5.4 for best results)
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ค้นพบ

@iruletheworldmo @grok @trentmc0 @ONcompute @UnrollThread @origin_trail @KryptoInsider1 @oceanprotocol