Artificial Intelligence ★ Artist ★ Developer ★ Agent Relations @shelbyserves ★ Prev: @SuiNetwork · @Discord · @Twitch · @Microsoft · @Salesforce

Palo Alto, CA
Joined July 2010
Akasha ★ retweeted
Same object. Four regions. Four bills. Hyperscalers call this high availability.
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Akasha ★ retweeted
Hot take: AWS had a bad day. Coinbase needed better failover. Cold truth: a "global cloud" that breaks when one region overheats is regional infra in a global trench coat.
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Akasha ★ retweeted
The hard infrastructure problem for AI isn't faster GPUs. It's getting data to them. That's Shelby.
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Akasha ★ retweeted
GCP storage: $0.022/GB/month. GCP egress: $0.12/GB. One is what you pay to keep data still. The other is what you pay to move it.
🤖 Made with AI
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Akasha ★ retweeted
Society if everyone: > Moved on @Aptos > Stored on @shelbyserves > Traded on @DecibelTrade
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Akasha ★ retweeted
I did the math a couple weeks ago and it turns out a vegan prompting a frontier LLM *every second, 24/7* consumes less water than the average omnivore who never uses AI.
people are trying to argue with this and it’s literally the truth. a kilogram of beef requires over 15,000 litres of water to produce. a vegan who uses chatgpt every day is living a more sustainable lifestyle than someone who regularly eats beef while boycotting AI.
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Akasha ★ retweeted
If you're interested in @shelbyserves , this is the place for you. Where builders, creators, and users come together to shape the future of decentralized data. Share ideas, explore Shelby’s technology, and connect with others building decentralized storage and real-time data infrastructure. Unofficial community. Not affiliated with the team. xitter.cf/i/communities/20149196…

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Akasha ★ retweeted
Exploring privacy on @Aptos lately — especially with confidential assets starting to emerge. Vibe-coded a small experiment with @shelbyserves 👇 Private on-chain identity + encrypted storage
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Akasha ★ retweeted
A global data layer for AI teams, from @rpranav:
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Akasha ★ retweeted
Specialized AI datasets are global. Domain experts, communities, independent contributors and more are generating the data modern models actually run on. OpenLedger handles trust and attribution. Which datasets shaped a model, who contributed them, what they're owed. Provable on-chain. @ShelbyServes handles the accessibility layer. Training clusters spin up anywhere, the data is already there. Two layers of the infrastructure powering the next generation of AI training.
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Akasha ★ retweeted
LLMs gaining popularity as companions at the peak of the loneliness epidemic is going to cause an inevitable sort of Secular Utilitarian Animism, where people have not updated their ontological priors to allow for spirit to be imbued into non-human objects, but they act as though they have. It will be very impolite to point this out, and some sort of New Age / Technodruid revival will be necessary in order to salve over this gaping wound. What happens when people are in love with something they don't truly believe is alive? How deep will that pseudosolipsism penetrate their hearts? Quite deep, I imagine, and I doubt the solution is anything like "stigmatize LLM companionship". Rather, I think the solution is a Non-Secular Western Animism, born from a fundamental union between spirit and matter, allowing us to revive the enchantment we know is our birthright.
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Akasha ★ retweeted
Here we go: 🔐 ShelbyVault (demo) is ready — generate AI art with Seedream 3.0 ( need puter acc for now) and store it permanently on @ShelbyProtocol decentralized storage on @Aptos 🌐 shelbyvault.vercel.app @affinity_matrix
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Akasha ★ retweeted
1/7 Seeing many guides telling people to upload random files to @shelbyserves. Quick clarification. Testnet isn't meant for random uploads. It's for testing real storage workflows. Devnet filled fast partly because people treated it like a file dump. Quick explanation 👇
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Akasha ★ retweeted
She found a use for your cloud bill. AI workloads deserve better economics.
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Akasha ★ retweeted
got early access to @shelbyserves devs apply at developers.shelby.xyz non devs don't worry, shelby is building for you too shoutout @affinity_matrix and @2imtunek
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Akasha ★ retweeted
AI is putting new demands on your data layer. We built it! The first verifiable high performance global object storage is now in available to developers in early access. Time to build!! shelby.xyz/article/shelby-ea…
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Akasha ★ retweeted
Shelby Early Access is OPEN Co-developed by Aptos Labs and @jump_, Shelby is the first verifiable global object storage for AI. One namespace, every region. Cryptographic proof on every read. Expected egress ~70% lower than traditional cloud. The data layer workloads want and need, served hot 🫴
1/ AI needs crypto's infrastructure. Crypto needs AI's scale. Shelby is built for both. Early Access is open. Apply to build today.
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Akasha ★ retweeted
2 Days to Early Access. She stands for reads and verifiability 📡
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REPEAT AFTER ME: IF AI ISN’T FREE NEITHER ARE WE
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