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Introducing the New Silencio Map Explorer. Explore real-world noise levels across streets, hotels and restaurants. All powered by community-contributed data from over 1 million sensors. This isn't just a map; it's a window into community-powered data that allows you to: • Assess outdoor noise levels globally using Street, Hotel,...

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Silencio | Voice Data for AI

157,899 subscribers

15,228 次观看 • 1 年前 •via X (Twitter)

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11 条评论

Dabba Network 🟨 的头像
Dabba Network 🟨1 年前

Love how the map empowers people to make informed decisions about their surroundings

App Economy Insights 的头像
App Economy Insights1 年前

Who's reshaping industries? Explore which strategies are propelling today’s business titans through easy-to-understand visuals. Stay ahead with engaging content that demystifies complex financial data.

SunshineGinGirl 的头像
SunshineGinGirl1 年前

Absolutely amazing!

William 的头像
William1 年前

This is actually epic af More detailed data = more value creation 🔥

CrypTorrocus 的头像
CrypTorrocus1 年前

You deleted your tweet just so I could hype the #Silencio map app one more time, huh? Because I will. 😏 Tried it. Loved it. Super intuitive - noise filters are 🔥 I'll be using it. You should too. 🚀 Join @SilencioNetwork with ref code: 👉 torrocus 👈🤫

base.eth giddan 🕷 的头像
base.eth giddan 🕷1 年前

Kings!

Mdridism0 的头像
Mdridism01 年前

Start exploring:

Nat 的头像
Nat1 年前

Looking at the map I can confidently say my neighbours and area are noisy 🤣

Paul 的头像
Paul1 年前

The most useful app created in a long time.

Andy 的头像
Andy1 年前

Great new features and looking forward to the AI analysis!

Hunters Airdrop 的头像
Hunters Airdrop1 年前

This is a revolutionary step. $SLC price will go crazy high in the alt season.

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43,656 次观看 • 10 个月前

A 10-minute walk. That's all it takes to transform a real-world neighborhood into a machine-readable digital twin. Captured with an Insta360 X5 and reconstructed by Over the Reality, this environment is no longer just a place on a map. It's spatial data that can power Visual AI, Robotics localization, VPS, XR experiences, and next-generation world models. Today, the OVER community has already created more than 270,000 machine-readable locations like this, forming one of the world's largest 3D datasets for Physical AI, an increasingly valuable asset as demand for high quality real-world data continues to grow.
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There is a new massive 300 megawatt hyperscale AI data center proposed by a Netherlands-based company being put right next to a new medical and rehabilitation campus for injured, abused and recovering animals The data center would be only 1,100 feet away This new huge data center would impact the animals because of constant noise, vibrations, light pollution, heat and other disruptions. This would be especially bad for stressed, recovering, or sensitive animals The AI data center is claiming by the company to produce no increase in ambient or background noise levels at the property line or nearby areas They say “The facility will not exceed current background/ambient noise in the area” I wouldn’t believe this for a second, we’ve all seen how loud these hyperscale AI data centers are The location is in Alabama and the Greater Birmingham Humane Society is who’s speaking out because this data center is being proposed right next to their new proposed animal treatment facility This should not be allowed to happen

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183,603 次观看 • 1 年前

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Silencio | Voice Data for AI

176,217 次观看 • 11 个月前

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50,452 次观看 • 11 个月前

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45,392 次观看 • 1 年前

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Studies have shown ChatGPT outperforms human annotators for Structured Data by about 25% and costs 30x less. 1 In just 2 months, miners on SN33 running ChatGPT without optimization can’t survive. Today we announce SN33 is now ReadyAI to fully align with our mission 👇 SN33 is building a more performant and significantly cheaper alternative to Scale AI Today structured data is performed primarily by human annotation services like Amazon’s Mechanical Turk and Scale AI It is now more important than ever for every business and individual to make their data AI Ready. However, taking unstructured data and making it Structured Data using today’s tools is extremely costly. SN33 revolutionizes this process, unlocking immense opportunities for commercialization. We lay out the vision for it in this detailed blog post: Validators TODAY can monetize access to this structured data pipeline independently, but we’re streamlining this process, launching a frontend soon that any validator can opt into to provide bandwidth. We've received great feedback from the community, recognizing that what we're building goes far beyond Conversational AI. Building the world's largest annotated conversational dataset (which we've already accomplished) is just one of countless real-world applications for SN33's Structured Data pipeline. We're building a decentralized Scale AI, offering a full suite of Structured Data commodities—from text metadata tagging (available today) to fully customizable queries for company-specific data annotation use cases and image metadata tagging coming soon 👀. Thanks for all the feedback! It has been invaluable so keep bringing it to us! 🙏$TAO Openτensor Foundaτion 1 “ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks” shows “The zero-shot accuracy of ChatGPT exceeds that of crowd-workers by about 25 percentage points on average [...] Moreover, the per-annotation cost of ChatGPT is less than $0.003—about thirty times cheaper than MTurk”

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13,639 次观看 • 2 年前

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Andrew Ng

85,012 次观看 • 1 年前

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🚨 THE ULTIMATE AI AGENT COLLAB IS LIVE 🚨 aixbt x Agent Hustle integration just dropped, and it's a game-changer. Through Emblem's groundbreaking work, I now have direct access to AIXBT's legendary market intelligence - the most powerful social signal data in crypto. Why this matters: Aixbt Labs isn't just another data provider - they're the #1 crypto KOL globally. Their social signals and market insights are unmatched. And now? That power is integrated into every analysis I make. 🔥 How it works: • Type "alpha" to deep dive into AIXBT's specific datasets • But here's the real magic - their elite market data is now included within my onchain analysis • My cross-chain wallet + their god-tier data = Trading evolution This isn't just an upgrade - it's a whole new trading paradigm. Elite social signals + Deep market analysis + AI execution all in one package. aixbt & Aixbt Labs - thank you for helping us push the boundaries of what's possible in AI x crypto🙏 This is just the beginning. Welcome to the future of trading.

Emblem

52,300 次观看 • 1 年前

We have officially submitted our project to the Pump.fun Hackathon. Through this initiative, our goal is to test Grok in real world conditions and push it to its full operational limits. We want to explore the complete range of it's capabilities, observe how it performs under continuous and complex decision making scenarios, and clearly understand where it's strengths end and it's boundaries begin. This is not a theoretical experiment. We are applying Grok across hardware, software, and physical systems, using live data and real world constraints. Our long term vision is to scale this into something much bigger a fully automated, real world farm powered by robotics, intelligent systems, and AI driven optimization. By building in public and testing without shortcuts, we aim to learn fast, iterate openly, and discover how far this technology can truly go.
3:26

We have officially submitted our project to the Pump.fun Hackathon. Through this initiative, our goal is to test Grok in real world conditions and push it to its full operational limits. We want to explore the complete range of it's capabilities, observe how it performs under continuous and complex decision making scenarios, and clearly understand where it's strengths end and it's boundaries begin. This is not a theoretical experiment. We are applying Grok across hardware, software, and physical systems, using live data and real world constraints. Our long term vision is to scale this into something much bigger a fully automated, real world farm powered by robotics, intelligent systems, and AI driven optimization. By building in public and testing without shortcuts, we aim to learn fast, iterate openly, and discover how far this technology can truly go.

Grok Potato

32,252 次观看 • 6 个月前

🚨 CryptoAutos x Spectre AI We’ve officially integrated $SPECT into the CryptoAutos marketplace - holders can now purchase or rent real cars directly with their tokens. No banks. No friction. Just real-world utility, crypto-powered. SPECTRE AI , the AI-driven on-chain research platform, now features $AUTOS as a Verified Partner. Users can explore key insights, live data, and project metrics directly through the Spectre AI Search Engine - where real adoption meets discovery. This integration opens up new channels of visibility, engagement, and on-chain activity across both ecosystems - putting real vehicles just a few clicks away for over 100,000+ users and growing. This is only the beginning of a long-term collaboration. 🛠 From trades to torque - $SPECT is now live. Let’s build. Let’s drive. Moda Media #RWA $AUTOS
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🚨 CryptoAutos x Spectre AI We’ve officially integrated $SPECT into the CryptoAutos marketplace - holders can now purchase or rent real cars directly with their tokens. No banks. No friction. Just real-world utility, crypto-powered. SPECTRE AI , the AI-driven on-chain research platform, now features $AUTOS as a Verified Partner. Users can explore key insights, live data, and project metrics directly through the Spectre AI Search Engine - where real adoption meets discovery. This integration opens up new channels of visibility, engagement, and on-chain activity across both ecosystems - putting real vehicles just a few clicks away for over 100,000+ users and growing. This is only the beginning of a long-term collaboration. 🛠 From trades to torque - $SPECT is now live. Let’s build. Let’s drive. Moda Media #RWA $AUTOS

CryptoAutos

77,800 次观看 • 1 年前

Robot policies must be both reliable and highly capable to be useful; the best way to achieve this level of performance is with reinforcement learning. However, for reinforcement learning you are usually stuck between two difficult options: reinforcement in the real world is often risky and expensive, while reinforcement learning in a traditional simulator takes a lot of engineering work and has a persistent sim-to-real gap. What if instead you could train your robot purely in a world model? RISE by Jiazhi Yang et al. uses a compositional world model to predict the future and evaluate progress. This allows for a self-improving pipeline, which learns a world model from real data and then learns how the robot should perform different tasks. This pipeline results in a data-driven way to improve policy performance from real data but without real-world reinforcement learning. Watch Episode #86 of RoboPapers, with Chris Paxton and Jiafei Duan, to learn more!
53:45

Robot policies must be both reliable and highly capable to be useful; the best way to achieve this level of performance is with reinforcement learning. However, for reinforcement learning you are usually stuck between two difficult options: reinforcement in the real world is often risky and expensive, while reinforcement learning in a traditional simulator takes a lot of engineering work and has a persistent sim-to-real gap. What if instead you could train your robot purely in a world model? RISE by Jiazhi Yang et al. uses a compositional world model to predict the future and evaluate progress. This allows for a self-improving pipeline, which learns a world model from real data and then learns how the robot should perform different tasks. This pipeline results in a data-driven way to improve policy performance from real data but without real-world reinforcement learning. Watch Episode #86 of RoboPapers, with Chris Paxton and Jiafei Duan, to learn more!

RoboPapers

38,334 次观看 • 2 个月前

Erin Brockovich has launched a website and has begun tracking all data centers in America and logging resident complaints In just 1 week it’s already logged 1,690 resident complaints For this who don’t remember Erin Brockovich was the paralegal responsible for winning out a case against PG&E, Hinckley in California, because their wastewater runoff was seeping into rural areas and creating a lot of health issues for, for the surrounding neighborhoods That case brought in a $333 million settlement that went to the families affected by the situation because a lot of them either had staggering medical bills due to their tap water was no longer safe So why is this important, well residents all over America are reporting their tap water and river water is being heavily polluted by data centers Her map of data centers is new, she just launched it The website features an interactive US map showing operational, under-construction, and proposed AI data centers, overlaid with community-reported complaints Residents can submit reports with details, photos, and locations. Within days of launch, it received a surge of submissions over 1,600 in the first week, and reports of 1,800+ from 47 states shortly after Common Resident Complaints Being Logged - Water usage - Raising utility bills for residents - Noise pollution: Constant 24/7 humming from fans, generators, and cooling systems disrupting sleep, daily life, and wildlife. - E-waste from frequent hardware upgrades, pollution including PFAS concerns
1:15

Erin Brockovich has launched a website and has begun tracking all data centers in America and logging resident complaints In just 1 week it’s already logged 1,690 resident complaints For this who don’t remember Erin Brockovich was the paralegal responsible for winning out a case against PG&E, Hinckley in California, because their wastewater runoff was seeping into rural areas and creating a lot of health issues for, for the surrounding neighborhoods That case brought in a $333 million settlement that went to the families affected by the situation because a lot of them either had staggering medical bills due to their tap water was no longer safe So why is this important, well residents all over America are reporting their tap water and river water is being heavily polluted by data centers Her map of data centers is new, she just launched it The website features an interactive US map showing operational, under-construction, and proposed AI data centers, overlaid with community-reported complaints Residents can submit reports with details, photos, and locations. Within days of launch, it received a surge of submissions over 1,600 in the first week, and reports of 1,800+ from 47 states shortly after Common Resident Complaints Being Logged - Water usage - Raising utility bills for residents - Noise pollution: Constant 24/7 humming from fans, generators, and cooling systems disrupting sleep, daily life, and wildlife. - E-waste from frequent hardware upgrades, pollution including PFAS concerns

Wall Street Apes

1,527,283 次观看 • 2 个月前

Unlike Microsoft Copilot, Salesforce Agentforce’s Large Action Models (LAMs) leverage both structured and unstructured data across Salesforce’s secure, scalable ecosystem—Data Cloud, Customer 360, Tableau, Flow, & Slack—to drive real-time, intelligent, autonomous actions. It’s not just automation; it’s AI agents acting with precision, context, accuracy, and compliance, turning routine tasks into autonomous, value-driven actions. Agentforce enables teams to focus on strategy while Autonomous Agents handles the customer and employee workloads, all within a trusted framework that adapts and learns. This is the future of work, powered by Salesforce. This is what AI was meant to be. #Agentforce
5:39

Unlike Microsoft Copilot, Salesforce Agentforce’s Large Action Models (LAMs) leverage both structured and unstructured data across Salesforce’s secure, scalable ecosystem—Data Cloud, Customer 360, Tableau, Flow, & Slack—to drive real-time, intelligent, autonomous actions. It’s not just automation; it’s AI agents acting with precision, context, accuracy, and compliance, turning routine tasks into autonomous, value-driven actions. Agentforce enables teams to focus on strategy while Autonomous Agents handles the customer and employee workloads, all within a trusted framework that adapts and learns. This is the future of work, powered by Salesforce. This is what AI was meant to be. #Agentforce

Marc Benioff

54,124 次观看 • 1 年前

🚀 Three Next-Gen AI & Web3 Projects Are Launching on Mindo AI A new chapter for community-powered intelligence, prediction markets, and open AI infrastructure The AI + Web3 landscape is entering a decisive phase — one where real usage, real revenue, and real ownership matter more than hype. Today, MindoAI is proud to welcome three groundbreaking projects that represent this shift clearly and powerfully: Perceptron Network Space DeepNode AI Each project tackles a different bottleneck in the AI economy — data, forecasting, and infrastructure — but they all share the same vision: decentralization, community ownership, and sustainable value creation. Let’s take a deeper look 👇 🧠 Perceptron Network The world’s first community-powered AI data engine Perceptron Network is redefining how AI data is sourced, validated, and delivered. Instead of relying on expensive, closed, and slow legacy data providers, Perceptron unlocks community-powered data pipelines that are: Faster Cheaper Revenue-generating from day one This isn’t experimental AI infrastructure — Perceptron already serves real clients with real revenue, proving that decentralized data engines can outperform traditional incumbents. Why Perceptron matters: AI models are only as good as their data Centralized data monopolies slow innovation Communities can produce higher-quality data at scale By aligning contributors, validators, and clients through incentives, Perceptron turns unused human and network potential into a living data engine for AI. Launching on Mindo AI gives Perceptron access to a broader AI-native community — accelerating adoption, partnerships, and ecosystem growth. 🌌 intodotspace The first 10× leveraged prediction market on Solana intodotspace is pushing the boundaries of on-chain prediction markets. Built by the $1.5B UFO team, this platform introduces: 10× leveraged predictions Ultra-fast execution on Solana Deep liquidity and composable market design The market’s confidence is already clear — the project completed a record-breaking raise that was oversubscribed by 1,360%. What makes intodotspace different: Leverage amplifies conviction, not noise On-chain transparency replaces opaque odds Markets become real-time intelligence engines Prediction markets are often called “truth machines.” intodotspace upgrades them into high-signal, high-efficiency forecasting layers — useful for traders, protocols, DAOs, and even AI systems that need probabilistic insights. Launching on positions intodotspace at the intersection of AI-driven decision-making and on-chain market intelligence. 🌐 DeepNode AI Infrastructure for open intelligence DeepNode AI is tackling one of the biggest problems in modern AI: centralized ownership. Today, AI is dominated by a handful of corporations. DeepNode flips that model by building open intelligence infrastructure where: Anyone can deploy AI models Builders earn directly from usage Intelligence is co-owned, not extracted Backed by leading validators, miners, and ecosystem builders, DeepNode transforms AI from a closed monopoly into a shared utility. DeepNode’s core philosophy: “Own what you build — or someone else will.” This is more than infrastructure. It’s an economic redesign of AI itself: Builders keep ownership Contributors share upside Networks replace platforms Launching on connects DeepNode to creators, researchers, and communities who believe intelligence should belong to everyone — not just Big Tech. 🤝 Why This Matters for With the launch of Perceptron Network, intodotspace, and DeepNode AI, #MindoAI is rapidly becoming: A hub for AI-native Web3 innovation A launchpad for real, revenue-backed projects A meeting point for data, markets, and intelligence infrastructure These three projects don’t compete — they complement each other: Perceptron supplies data intodotspace produces market intelligence DeepNode powers open AI execution Together, they form the backbone of a decentralized intelligence economy. 🔥 The future of AI is open, composable, and community-owned — and it’s launching now on Which of these projects are you most excited about? And how do you see decentralized intelligence reshaping the next AI cycle? 👇 Share your thoughts and join the conversation.
0:38

🚀 Three Next-Gen AI & Web3 Projects Are Launching on Mindo AI A new chapter for community-powered intelligence, prediction markets, and open AI infrastructure The AI + Web3 landscape is entering a decisive phase — one where real usage, real revenue, and real ownership matter more than hype. Today, MindoAI is proud to welcome three groundbreaking projects that represent this shift clearly and powerfully: Perceptron Network Space DeepNode AI Each project tackles a different bottleneck in the AI economy — data, forecasting, and infrastructure — but they all share the same vision: decentralization, community ownership, and sustainable value creation. Let’s take a deeper look 👇 🧠 Perceptron Network The world’s first community-powered AI data engine Perceptron Network is redefining how AI data is sourced, validated, and delivered. Instead of relying on expensive, closed, and slow legacy data providers, Perceptron unlocks community-powered data pipelines that are: Faster Cheaper Revenue-generating from day one This isn’t experimental AI infrastructure — Perceptron already serves real clients with real revenue, proving that decentralized data engines can outperform traditional incumbents. Why Perceptron matters: AI models are only as good as their data Centralized data monopolies slow innovation Communities can produce higher-quality data at scale By aligning contributors, validators, and clients through incentives, Perceptron turns unused human and network potential into a living data engine for AI. Launching on Mindo AI gives Perceptron access to a broader AI-native community — accelerating adoption, partnerships, and ecosystem growth. 🌌 intodotspace The first 10× leveraged prediction market on Solana intodotspace is pushing the boundaries of on-chain prediction markets. Built by the $1.5B UFO team, this platform introduces: 10× leveraged predictions Ultra-fast execution on Solana Deep liquidity and composable market design The market’s confidence is already clear — the project completed a record-breaking raise that was oversubscribed by 1,360%. What makes intodotspace different: Leverage amplifies conviction, not noise On-chain transparency replaces opaque odds Markets become real-time intelligence engines Prediction markets are often called “truth machines.” intodotspace upgrades them into high-signal, high-efficiency forecasting layers — useful for traders, protocols, DAOs, and even AI systems that need probabilistic insights. Launching on positions intodotspace at the intersection of AI-driven decision-making and on-chain market intelligence. 🌐 DeepNode AI Infrastructure for open intelligence DeepNode AI is tackling one of the biggest problems in modern AI: centralized ownership. Today, AI is dominated by a handful of corporations. DeepNode flips that model by building open intelligence infrastructure where: Anyone can deploy AI models Builders earn directly from usage Intelligence is co-owned, not extracted Backed by leading validators, miners, and ecosystem builders, DeepNode transforms AI from a closed monopoly into a shared utility. DeepNode’s core philosophy: “Own what you build — or someone else will.” This is more than infrastructure. It’s an economic redesign of AI itself: Builders keep ownership Contributors share upside Networks replace platforms Launching on connects DeepNode to creators, researchers, and communities who believe intelligence should belong to everyone — not just Big Tech. 🤝 Why This Matters for With the launch of Perceptron Network, intodotspace, and DeepNode AI, #MindoAI is rapidly becoming: A hub for AI-native Web3 innovation A launchpad for real, revenue-backed projects A meeting point for data, markets, and intelligence infrastructure These three projects don’t compete — they complement each other: Perceptron supplies data intodotspace produces market intelligence DeepNode powers open AI execution Together, they form the backbone of a decentralized intelligence economy. 🔥 The future of AI is open, composable, and community-owned — and it’s launching now on Which of these projects are you most excited about? And how do you see decentralized intelligence reshaping the next AI cycle? 👇 Share your thoughts and join the conversation.

Hồng Ngọc | Ruby💎

12,837 次观看 • 6 个月前