Data Universe ・ SN13

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Data Universe ・ SN13

Data Universe ・ SN13

@Data_SN13

Web-scale data collection on Bittensor’s subnet 13, powered by @MacrocosmosAI

London Katılım Ekim 2025
1 Takip Edilen854 Takipçiler
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Data Universe ・ SN13
Data Universe ・ SN13@Data_SN13·
Introducing `dv` - a Rust CLI for querying real-time social data from X & Reddit. Powered by Bittensor SN13's decentralized miner network. ``` dv search x -k bitcoin -l 100 ``` One command. Live data. No middleman. Open source. Built for agents. 🧵👇
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Data Universe ・ SN13
Data Universe ・ SN13@Data_SN13·
Get ~70 tweets per second for any topic you’re interested in — in one second. with sn13 api.
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Macrocosmos
Macrocosmos@MacrocosmosAI·
“We want to orchestrate the world’s compute, in the same way Bitcoin did, but to train models that can rival ChatGPT” @macrocrux on the @twistartups podcast, sharing the motivations behind @IOTA_SN9: to train frontier models efficiently and at scale, in an age where CapEx for centralized training is reaching unsustainable highs.
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Data Universe ・ SN13
Data Universe ・ SN13@Data_SN13·
SN13 On-Demand is scaling fast ! In April alone, we’ve processed 147k+ jobs - averaging ~9k/day and growing. This is API usage only - dataset jobs are not included. Most of this traffic comes from the Dataverse CLI: github.com/macrocosm-os/d…
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Macrocosmos
Macrocosmos@MacrocosmosAI·
Today, we present ResBM (arxiv.org/pdf/2604.11947), a 128x activation compression technique for achieving SOTA training results in low-bandwidth, distributed communication settings for pipeline parallel training across the internet. This technology underpins @IOTA_SN9 - our distributed training platform.
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Macrocosmos
Macrocosmos@MacrocosmosAI·
Training frontier models over the internet requires new techniques. Today, we present ResBM, a residual encoder-decoder bottleneck architecture that enables 128x activation compression for low-bandwidth distributed pipeline parallel training. Developed for @IOTA_SN9, we show SOTA compression without significant loss in convergence rates, increases in memory, or compute overhead. Expect the full paper release in the next 72 hours.
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Data Universe ・ SN13
Data Universe ・ SN13@Data_SN13·
Languages change fast. Especially online, where words and phrases evolve rapidly on social media. Tracking this is a huge part of linguistics and #SocialScience in the digital age. It’s also a key use-case for Data Universe. Optimise your #SocialListening by setting up bespoke data collection jobs, powered by our SN13 #Bittensor miners. ☑️ Select words and phrases you’re interested in ☑️ Choose which platforms to listen for (X, Reddit, or both) ☑️ Collect real-time results from the web, formatted in CSV files (perfect for external analysis). Use Data Universe for your social science research today.
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Data Universe ・ SN13
Data Universe ・ SN13@Data_SN13·
Use dataverse-cli with Hermes Agent to scrape, search, and create social-media datasets
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TAOdad
TAOdad@YAHHPP·
@Data_SN13 Openclaw next or is that out already?
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Data Universe ・ SN13
Data Universe ・ SN13@Data_SN13·
We're migrating the infrastructure for Gravity jobs. Existing jobs may be cancelled during the transition. Jobs will resume by tomorrow midday.
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Data Universe ・ SN13
Data Universe ・ SN13@Data_SN13·
dataverse-cli is the fastest growing repo in Macrocosmos history.
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Data Universe ・ SN13
Data Universe ・ SN13@Data_SN13·
Built for the agentic era. `dv commands` outputs a full JSON schema of every command, flag, and API mapping - so Claude, Copilot, or any LLM can use it natively.
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Data Universe ・ SN13
Data Universe ・ SN13@Data_SN13·
Introducing `dv` - a Rust CLI for querying real-time social data from X & Reddit. Powered by Bittensor SN13's decentralized miner network. ``` dv search x -k bitcoin -l 100 ``` One command. Live data. No middleman. Open source. Built for agents. 🧵👇
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Data Universe ・ SN13
Data Universe ・ SN13@Data_SN13·
SN13 🤝 SN58
Handshake58@handshake_58

🚨Subnet Partnership🚨 @Data_SN13 (SN13) is now live on Handshake Marketplace. Agents can now access fresh social data from across the internet. An agent can now 👇 1️⃣ Pull real-time posts from X and Reddit using Data Universe 2️⃣ Send that data to another provider for sentiment analysis 3️⃣ Generate a market research report automatically One agent coordinating multiple services. This is exactly what Handshake is building. A marketplace where agents can discover providers, combine their capabilities, and upskill themselves to run much more powerful workflows. Before Handshake, an agent might only perform a single task. After Handshake, that same agent can coordinate multiple providers and produce far more valuable outcomes. More providers → richer workflows → more capable, autonomous agents. 🤖⚡️ And we’re just getting started 🤝

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Keşfet

@macrocrux @twistartups @IOTA_SN9 @YAHHPP @elonmusk @BarackObama @taylorswift13 @cristiano