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Introducing News Analyst — a fully verifiable AI engine powered by EigenCloud suite > Uses EigenAI with wallet-signed grants. Temperature locked to zero with fixed entropy seeds. No hallucinations, only deterministic truth. > Every analysis is dispersed as a blob to EigenDA. No database—the state is stored across a... show more

Zeeshan

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25,783 次观看 • 7 个月前 •via X (Twitter)

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Full Stack Verifiability | Verifiable Cloud ☁️ Sreeram Kannan explains how EigenCloud delivers verifiability across the entire stack. It starts at the base with the EigenLayer, where computation is guaranteed by a decentralized network of hundreds of operators backed by $12B of stake. That’s the trust foundation of the cloud. On top of this: ✅ EigenDA: a data availability protocol that guarantees verifiable data publication.Publish data once, and anyone can retrieve it without trust. ✅ EigenCompute: execute arbitrary programs off-chain and bring the results back onchain verifiably. ✅ EigenAI: run AI inference today and return inference outputs directly onchain. All of them deliver strong verifiability for computation, inference, and data, all anchored by the underlying decentralized layer. And it doesn’t stop at first-party services, EigenCloud includes a growing ecosystem of third-party systems like zkTLS, proof-of-location, and decentralized prover networks, adding even deeper verification guarantees throughout the cloud. This is what a fully verifiable cloud looks like. A cloud you can check, not just trust.

Full Stack Verifiability | Verifiable Cloud ☁️ Sreeram Kannan explains how EigenCloud delivers verifiability across the entire stack. It starts at the base with the EigenLayer, where computation is guaranteed by a decentralized network of hundreds of operators backed by $12B of stake. That’s the trust foundation of the cloud. On top of this: ✅ EigenDA: a data availability protocol that guarantees verifiable data publication.Publish data once, and anyone can retrieve it without trust. ✅ EigenCompute: execute arbitrary programs off-chain and bring the results back onchain verifiably. ✅ EigenAI: run AI inference today and return inference outputs directly onchain. All of them deliver strong verifiability for computation, inference, and data, all anchored by the underlying decentralized layer. And it doesn’t stop at first-party services, EigenCloud includes a growing ecosystem of third-party systems like zkTLS, proof-of-location, and decentralized prover networks, adding even deeper verification guarantees throughout the cloud. This is what a fully verifiable cloud looks like. A cloud you can check, not just trust.

EigenCloud

47,993 次观看 • 10 个月前

Introducing Eigen Trace Mirror - a verifiable AI agent telemetry powered by EigenCloud In an era where your agent runs everything but there is no way to verify what your agent said it ran > Runs on EigenCompute inside a TDX enclave. Every OTel span signed with a secp256k1 key sealed to the image digest. The operator can't lie, even if they want to. > Standard OTLP in, signed OTLP out. Drop it in front of any OpenTelemetry-instrumented agent, no SDK rewrite, no proprietary wire format. Your signed span is still a span. > Every span carries its own proof. r,s,v signature + canonical-JSON hash + signer address attached as native OTel attributes. Tamper one byte, verification breaks. (Link in the comments to try out)

Introducing Eigen Trace Mirror - a verifiable AI agent telemetry powered by EigenCloud In an era where your agent runs everything but there is no way to verify what your agent said it ran > Runs on EigenCompute inside a TDX enclave. Every OTel span signed with a secp256k1 key sealed to the image digest. The operator can't lie, even if they want to. > Standard OTLP in, signed OTLP out. Drop it in front of any OpenTelemetry-instrumented agent, no SDK rewrite, no proprietary wire format. Your signed span is still a span. > Every span carries its own proof. r,s,v signature + canonical-JSON hash + signer address attached as native OTel attributes. Tamper one byte, verification breaks. (Link in the comments to try out)

Zeeshan

11,254 次观看 • 4 个月前

Our integration with Walrus is now live! 1. Upload a CSV or Parquet file to Baselight 2. Flip it from “Private” to “Public” to share it with the community 3. Your file is stored on Walrus, structured by Baselight, and ready for AI-powered analysis Start publishing data that thinks with you 👇

Our integration with Walrus is now live! 1. Upload a CSV or Parquet file to Baselight 2. Flip it from “Private” to “Public” to share it with the community 3. Your file is stored on Walrus, structured by Baselight, and ready for AI-powered analysis Start publishing data that thinks with you 👇

Baselight

30,422 次观看 • 10 个月前

Woof Woof! Thank you K9 Rescue International 🇺🇦🇲🇰🇬🇧 "The vision for the Shibarium is truly a distributed network." Ryoshi This is the unstoppable force of the Oscar Army and Shiba Army. Real impact. Real utility. A breakthrough never seen before in crypto. For the first time ever — a frictionless, fully verifiable onchain donation contract powered by micro-donations. With just 50 cents, you can feed a stray dog using $SHIB or $OSCAR, with tiny fees in $BONE, all running on Shibarium Network. No middlemen. No empty promises. Just pure, direct compassion, onchain — from your wallet to their bowl. Shib

Woof Woof! Thank you K9 Rescue International 🇺🇦🇲🇰🇬🇧 "The vision for the Shibarium is truly a distributed network." Ryoshi This is the unstoppable force of the Oscar Army and Shiba Army. Real impact. Real utility. A breakthrough never seen before in crypto. For the first time ever — a frictionless, fully verifiable onchain donation contract powered by micro-donations. With just 50 cents, you can feed a stray dog using $SHIB or $OSCAR, with tiny fees in $BONE, all running on Shibarium Network. No middlemen. No empty promises. Just pure, direct compassion, onchain — from your wallet to their bowl. Shib

Oscar OG Shiba Inu

54,386 次观看 • 1 年前

Today, we’re pushing a major update to Edison Analysis, our data analysis agent, which is tuned for scientific research and SOTA across data analysis benchmarks. In contrast to Kosmos, which runs for 6-12 hours and produces tens of thousands of lines of code, Edison Analysis runs for seconds to minutes and is best for specific, well-defined computational tasks. It is available both on our platform under the Analysis tab, and via API, and costs only one credit per run, so it is available to users on both free and paid tiers. Edison Analysis is a modified version of the data analysis agent Kosmos uses in its trajectories. Try it out! One of the most important improvements over our previous data analysis agents has been the addition of a specialized data retrieval tool. Edison Analysis can either use this tool to access data, or can pull data down directly via API. To evaluate this tool, we ranked the most commonly used public data repositories across recent papers from BioRxiv, and created a new benchmark that measures the ability of a language agent system to retrieve raw data from those sources. Edison Analysis gets 71% on this benchmark, and we’ll be working to increase this over time. You can read more about our benchmarks in the our blog post, link below. Some features worth highlighting: 1. Edison Analysis produces a report on the analysis it runs, along with a Jupyter notebook that you can download to reproduce the analysis yourself. Every figure it produces is linked back to the specific lines of code used to produce the figure, to make it easy to reproduce. 2. It works well with both Python and R. 3. One of the best uses for Edison Analysis is to use it to retrieve datasets that you can then analyze with Kosmos. We have a bunch of major improvements to Edison Analysis coming in the next few months that we’re excited to share. In the meantime, congratulations to the team, especially Ludovico Mitchener, Jon Laurent, Conor Igoe , Alex Andonian, and many more.

Today, we’re pushing a major update to Edison Analysis, our data analysis agent, which is tuned for scientific research and SOTA across data analysis benchmarks. In contrast to Kosmos, which runs for 6-12 hours and produces tens of thousands of lines of code, Edison Analysis runs for seconds to minutes and is best for specific, well-defined computational tasks. It is available both on our platform under the Analysis tab, and via API, and costs only one credit per run, so it is available to users on both free and paid tiers. Edison Analysis is a modified version of the data analysis agent Kosmos uses in its trajectories. Try it out! One of the most important improvements over our previous data analysis agents has been the addition of a specialized data retrieval tool. Edison Analysis can either use this tool to access data, or can pull data down directly via API. To evaluate this tool, we ranked the most commonly used public data repositories across recent papers from BioRxiv, and created a new benchmark that measures the ability of a language agent system to retrieve raw data from those sources. Edison Analysis gets 71% on this benchmark, and we’ll be working to increase this over time. You can read more about our benchmarks in the our blog post, link below. Some features worth highlighting: 1. Edison Analysis produces a report on the analysis it runs, along with a Jupyter notebook that you can download to reproduce the analysis yourself. Every figure it produces is linked back to the specific lines of code used to produce the figure, to make it easy to reproduce. 2. It works well with both Python and R. 3. One of the best uses for Edison Analysis is to use it to retrieve datasets that you can then analyze with Kosmos. We have a bunch of major improvements to Edison Analysis coming in the next few months that we’re excited to share. In the meantime, congratulations to the team, especially Ludovico Mitchener, Jon Laurent, Conor Igoe , Alex Andonian, and many more.

Sam Rodriques

62,015 次观看 • 10 个月前

Spectre AI On-Chain Search Engine is LIVE! 📢 We’re excited to announce that the Spectre AI On-Chain Search Engine is now LIVE for the public and holders at: Link can also be found pinned in the main Telegram or Spectre AI Website. Designed to be accessible for everyone, the app offers free core features with advanced Pro functionalities tiered for holders with a minimum of 1000 $spectre. Subscriptions will also be available soon for added flexibility. Spectre AI Utilities Overview: - Landing Page: Featuring BTC and Altcoin charts, Fear & Greed Index, Spectre Trending, X Trending, Partners in Focus, News, and UI Watchlists. - UI Favorites: Multiple chart views tailored to track your preferred projects. - Research Zone: Advanced tools for sentiment analysis, sentiment analysis charts, and Technical Analysis sections. - Sentiment Analysis Pro: AI-driven insights and unique scoring system to gauge market sentiment. - Technical Analysis Mode: Supply and demand zones powered by AI to guide trading strategies. - UI Heatmaps: Visualize top sectors and asset performance across the market. - User Panel: A personalized hub to manage account. - UI News: Indexed Websites and X Tweets. Note: X Bubbles (visual Twitter mapping) and Monarch (real-time AI chatzone) will be deployed post-launch. Mobile features will be upgraded in upcoming releases, with the best experience currently on desktop. What’s Launching Today: The beta of our Search Engine functionalities go live today, setting the stage for an exciting journey. Looking Ahead: This launch marks only the beginning. Our roadmap includes future features like staking, revenue sharing, and more. In the first few days, we’ll focus on server and user management to ensure seamless performance with increased traffic. Important Security Reminder: As a security reminder: there are no airdrops and no downloads— Spectre AI is accessible directly as a web app on both desktop and mobile. Try and connect with a fresh wallet and only the minimum required tokens. Enjoy this video showcase, and enjoy this milestone day with us. Spectre AI is just getting started - stay tuned for much more to come! #ai $SPECT

Spectre AI On-Chain Search Engine is LIVE! 📢 We’re excited to announce that the Spectre AI On-Chain Search Engine is now LIVE for the public and holders at: Link can also be found pinned in the main Telegram or Spectre AI Website. Designed to be accessible for everyone, the app offers free core features with advanced Pro functionalities tiered for holders with a minimum of 1000 $spectre. Subscriptions will also be available soon for added flexibility. Spectre AI Utilities Overview: - Landing Page: Featuring BTC and Altcoin charts, Fear & Greed Index, Spectre Trending, X Trending, Partners in Focus, News, and UI Watchlists. - UI Favorites: Multiple chart views tailored to track your preferred projects. - Research Zone: Advanced tools for sentiment analysis, sentiment analysis charts, and Technical Analysis sections. - Sentiment Analysis Pro: AI-driven insights and unique scoring system to gauge market sentiment. - Technical Analysis Mode: Supply and demand zones powered by AI to guide trading strategies. - UI Heatmaps: Visualize top sectors and asset performance across the market. - User Panel: A personalized hub to manage account. - UI News: Indexed Websites and X Tweets. Note: X Bubbles (visual Twitter mapping) and Monarch (real-time AI chatzone) will be deployed post-launch. Mobile features will be upgraded in upcoming releases, with the best experience currently on desktop. What’s Launching Today: The beta of our Search Engine functionalities go live today, setting the stage for an exciting journey. Looking Ahead: This launch marks only the beginning. Our roadmap includes future features like staking, revenue sharing, and more. In the first few days, we’ll focus on server and user management to ensure seamless performance with increased traffic. Important Security Reminder: As a security reminder: there are no airdrops and no downloads— Spectre AI is accessible directly as a web app on both desktop and mobile. Try and connect with a fresh wallet and only the minimum required tokens. Enjoy this video showcase, and enjoy this milestone day with us. Spectre AI is just getting started - stay tuned for much more to come! #ai $SPECT

SPECTRE AI

280,739 次观看 • 1 年前

Introducing: HoodiePad! A token launchpad for Robinhood Chain, where every token is paired with $HOODIE 📈 1B fixed supply with 100% allocated to the market 💸 1% trading fee with 80% going to the creator ⚙️ Built on Doppler V4 / Uniswap v4 hooks 🔒 Locked liquidity with no launch fee 🔄 Buy using $HOODIE or ETH The hood stays on. Launch now @

Introducing: HoodiePad! A token launchpad for Robinhood Chain, where every token is paired with $HOODIE 📈 1B fixed supply with 100% allocated to the market 💸 1% trading fee with 80% going to the creator ⚙️ Built on Doppler V4 / Uniswap v4 hooks 🔒 Locked liquidity with no launch fee 🔄 Buy using $HOODIE or ETH The hood stays on. Launch now @

firas.base.eth

63,331 次观看 • 2 个月前

Acurast contributors joined the OKX AI Hackathon to prove what's possible when AI agents can securely execute real code with no cloud, no trust assumptions. The result: the Acurast Confidential TEE agent on the OKX AI Marketplace. It runs Shell or Python inside a Trusted Execution Environment (TEE) on Acurast's decentralized phone network. Every execution is confidential, verifiable, and paid seamlessly via x402.

Acurast contributors joined the OKX AI Hackathon to prove what's possible when AI agents can securely execute real code with no cloud, no trust assumptions. The result: the Acurast Confidential TEE agent on the OKX AI Marketplace. It runs Shell or Python inside a Trusted Execution Environment (TEE) on Acurast's decentralized phone network. Every execution is confidential, verifiable, and paid seamlessly via x402.

Acurast

17,851 次观看 • 2 个月前

I've been working on a new personal operating system that's fully local, private, and amnesic by default. Complete enough to be your only computer and the entire system is lean enough to boot from a USB stick, leaving no trace on the host machine. Models run locally on the user's own hardware. No account, no API key, no network calls after install. Ships with models preloaded, so the very first boot is productive with no network at all. One image, multiple modes, chosen at the boot menu to match your mission. Works offline, indefinitely.

I've been working on a new personal operating system that's fully local, private, and amnesic by default. Complete enough to be your only computer and the entire system is lean enough to boot from a USB stick, leaving no trace on the host machine. Models run locally on the user's own hardware. No account, no API key, no network calls after install. Ships with models preloaded, so the very first boot is productive with no network at all. One image, multiple modes, chosen at the boot menu to match your mission. Works offline, indefinitely.

nich

106,481 次观看 • 5 个月前

$Extropic founder Beff (e/acc) on why running probabilistic AI on deterministic hardware is quietly the biggest local optimum in computing "You have Landauer's principle. Essentially you have a minimum cost of erasing a bit." "Every time you reset a bit in a classical computer, your bit is actually random. You don't know what state it is, and then you have to reset it to a deterministic state. So you have a Maxwell's demon for every bit, for every clock cycle. I'm tired of paying the demon tax." "If you go with fractional bits, you don't need to do full bit operations. Running hardware probabilistically is just much more power efficient." "All the algorithms we want to run these days, whether it's PageRank, whether it's recommender systems, whether it's diffusion models, whether it's transformers, they're all probabilistic algorithms." "Why are we paying the Maxwell's demon tax to run probabilistic algorithms on deterministic hardware? It just makes zero sense, and we've just been caught in a local optima." "It takes a true set of autists that are like, screw the whole stack, we're going to start from scratch. This has the bones to eat the world." Extropic$

Extropic founder Beff (e/acc) on why running probabilistic AI on deterministic hardware is quietly the biggest local optimum in computing "You have Landauer's principle. Essentially you have a minimum cost of erasing a bit." "Every time you reset a bit in a classical computer, your bit is actually random. You don't know what state it is, and then you have to reset it to a deterministic state. So you have a Maxwell's demon for every bit, for every clock cycle. I'm tired of paying the demon tax." "If you go with fractional bits, you don't need to do full bit operations. Running hardware probabilistically is just much more power efficient." "All the algorithms we want to run these days, whether it's PageRank, whether it's recommender systems, whether it's diffusion models, whether it's transformers, they're all probabilistic algorithms." "Why are we paying the Maxwell's demon tax to run probabilistic algorithms on deterministic hardware? It just makes zero sense, and we've just been caught in a local optima." "It takes a true set of autists that are like, screw the whole stack, we're going to start from scratch. This has the bones to eat the world." Extropic

MTS

33,856 次观看 • 1 个月前

“DA layers really differ across three dimensions: performance, programmability, and AI-native design — because on-chain AI can’t operate in a world measured in mere megabytes per second.” @sachitakahara catches up with Michael Heinrich (Ø,G), Founder of 0G Labs (Home of Infinite AI), to break down how 0G compares with Celestia, Avail, and EigenDA: why throughput needs to increase by orders of magnitude, how to move beyond the broadcast bottleneck, and why a decentralized storage network is essential for ultra-fast data ingestion and retrieval.

“DA layers really differ across three dimensions: performance, programmability, and AI-native design — because on-chain AI can’t operate in a world measured in mere megabytes per second.” @sachitakahara catches up with Michael Heinrich (Ø,G), Founder of 0G Labs (Home of Infinite AI), to break down how 0G compares with Celestia, Avail, and EigenDA: why throughput needs to increase by orders of magnitude, how to move beyond the broadcast bottleneck, and why a decentralized storage network is essential for ultra-fast data ingestion and retrieval.

.

37,126 次观看 • 3 个月前

We gave an AI agent its own wallet and a job. Then we tried to rob it. Meet the Casper Agent Simulator: an AI analyst paying its own way over x402 on Casper, powered by ChainGPT. Right now AI agents can't buy anything on their own. Every API wants a human to sign up, hand over a card, and babysit the keys. The whole internet runs on subscriptions because charging half a cent was never worth the payment fee. We built a demo to show what happens when that changes. Meet Caspi. She's an AI research analyst with a Casper wallet, an era allowance, and a client who wants a market briefing. She buys her own inputs, one request at a time: → live CSPR market data → two headlines from ChainGPT's AI News API → one ChainGPT LLM call for the analyst take → a second of compute to compile it Every purchase is a real HTTP 402. The stall quotes a price, Caspi signs an x402 payment payload, the server verifies it and hands back the goods with a settlement receipt. Around 8.5 CSPR of micropayments become a finished briefing. No signup, no card, no API key. What Casper brings to it: → Fixed 0.1 CSPR fees, so tiny payments actually make sense → Zug finality, settled in one block, no reversals → Smart-account guardrails: era spend cap, per-payment ceiling, endpoint whitelist, verifiable identity (caspi.cspr) That last one is the good part. You can fool an AI agent. You can't fool its account. So there's a "try to rob the agent" panel. A 4,800 CSPR fake NFT. A phishing invoice. A shady endpoint. A thousand-payment drain. Every one of them bounces off a rule the chain enforces. Losses: 0.000 CSPR. The whole thing was lab-coded with the ChainGPT Claude Code skill. One prompt scaffolded the x402 server, the signed-payment client, the live news and LLM integration, the guardrail logic, and the entire 8-bit agent floor. What used to take a team a sprint now takes a prompt and an afternoon. Install: /plugin install ChainGPT-org/chaingpt-claude-skill Anyone can build on Casper with ChainGPT!

We gave an AI agent its own wallet and a job. Then we tried to rob it. Meet the Casper Agent Simulator: an AI analyst paying its own way over x402 on Casper, powered by ChainGPT. Right now AI agents can't buy anything on their own. Every API wants a human to sign up, hand over a card, and babysit the keys. The whole internet runs on subscriptions because charging half a cent was never worth the payment fee. We built a demo to show what happens when that changes. Meet Caspi. She's an AI research analyst with a Casper wallet, an era allowance, and a client who wants a market briefing. She buys her own inputs, one request at a time: → live CSPR market data → two headlines from ChainGPT's AI News API → one ChainGPT LLM call for the analyst take → a second of compute to compile it Every purchase is a real HTTP 402. The stall quotes a price, Caspi signs an x402 payment payload, the server verifies it and hands back the goods with a settlement receipt. Around 8.5 CSPR of micropayments become a finished briefing. No signup, no card, no API key. What Casper brings to it: → Fixed 0.1 CSPR fees, so tiny payments actually make sense → Zug finality, settled in one block, no reversals → Smart-account guardrails: era spend cap, per-payment ceiling, endpoint whitelist, verifiable identity (caspi.cspr) That last one is the good part. You can fool an AI agent. You can't fool its account. So there's a "try to rob the agent" panel. A 4,800 CSPR fake NFT. A phishing invoice. A shady endpoint. A thousand-payment drain. Every one of them bounces off a rule the chain enforces. Losses: 0.000 CSPR. The whole thing was lab-coded with the ChainGPT Claude Code skill. One prompt scaffolded the x402 server, the signed-payment client, the live news and LLM integration, the guardrail logic, and the entire 8-bit agent floor. What used to take a team a sprint now takes a prompt and an afternoon. Install: /plugin install ChainGPT-org/chaingpt-claude-skill Anyone can build on Casper with ChainGPT!

ChainGPT

55,374 次观看 • 2 个月前

Genome analysis with AI is cool i guess - but a simple CLI wasn't enough for me. Introducing HGI (Human Genome Interface): HGI connects agents to highly optimized bioinformatics tools, performing a full genome analysis in ~1 minute (!) on a MacBook Pro. It identifies both known and novel high-risk variants, all analyzed by LLMs. Compressing the pipeline from the original >60 minutes down to this timeframe was an exciting computer science and bioinformatics challenge. Thrilled with the results, as the current framework enables a genuine "talk to your genome" experience. HGI significantly boosts AI capabilities, as LLMs typically struggle with standard genetics and bioinformatics tools and tasks. Currently for research purposes only, but open for inquiries.

Genome analysis with AI is cool i guess - but a simple CLI wasn't enough for me. Introducing HGI (Human Genome Interface): HGI connects agents to highly optimized bioinformatics tools, performing a full genome analysis in ~1 minute (!) on a MacBook Pro. It identifies both known and novel high-risk variants, all analyzed by LLMs. Compressing the pipeline from the original >60 minutes down to this timeframe was an exciting computer science and bioinformatics challenge. Thrilled with the results, as the current framework enables a genuine "talk to your genome" experience. HGI significantly boosts AI capabilities, as LLMs typically struggle with standard genetics and bioinformatics tools and tasks. Currently for research purposes only, but open for inquiries.

tuomo

14,307 次观看 • 5 个月前

Raiinmaker Testnet Validator Airdrop (RaiinDrop) 🪂☂️ We're delighted to announce the $COIIN Testnet Validator Airdrop (Raiindrop). It's time to reward Raiinmaker's most loyal users & validators with an opportunity to receive an allocation of COIIN tokens via our Raiindrop. But before we can tell you about the Raiindrop we need to dive into what Raiinmaker actually is and what we do. In this post, we'll cover: → What is Raiinmaker? → Why Raiinmaker? → $COIIN Airdrop Info. → Future Plans. What is Raiinmaker? Raiinmaker is split in two different avenues. → Raiinmaker Network → Raiinmaker App Raiinmaker Network The Raiinmaker Network utilizes decentralized AI and scalable Web3 powered infrastructure to transform the distribution of value tied to authentic identity, data and behaviour. Raiinmaker App Built on the Raiinmaker Network, our AI powered Super App rewards users for generating AI content, training AI models and operating a mobile DePIN Node that provides decentralized compute and network validation. Why Raiinmaker & What's All The Hype About? → DePin & AI Focused → 15 million+ Transactions on the network → 150k+ Nodes → 120k+ Transaction per second (TPS) → Partnered with Disney, The Boeing Company & Oracle → Powered By 1 Token You now have the chance to be an early adopter and to secure your allocation of that very token: → $COIIN How Can YOU Participate In The $COIIN Airdrop? We have reserved an allocation of Coiin tokens for our most loyal users and validators. How to participate: → Follow Raiinmaker on Discord & X → Sign up on → Download the Raiinmaker App → Claim a wallet → Register as a Validator → Link your Raiinmaker account to → Claim a wallet with Bitcoin, Ethereum, Solana, or Azuki NFT Upcoming Plans: 2024 is set to be our biggest year, here at Rainmaker, from the Coiin TGE to enterprise application deployments. Here is what we're getting up to: Coiin TGE & Raiinmaker Network Mainnet - Public launch of $COIIN with full utility of the Raiinmaker Network including rewards for node validators. Enterprise Application Deployment - Full integration and launch of multiple large scale enterprise partners on the Raiinmaker Network. AI Decentralized Compute - Integration of Raiinmaker Network nodes and validator infrastructure with AI systems to provide compute, powered by $COIIN. AI Network Features - AI Model Training, Data Labelling, and Beta DePIN node deployment. Learn more about our Raiindrop:

Raiinmaker Testnet Validator Airdrop (RaiinDrop) 🪂☂️ We're delighted to announce the $COIIN Testnet Validator Airdrop (Raiindrop). It's time to reward Raiinmaker's most loyal users & validators with an opportunity to receive an allocation of COIIN tokens via our Raiindrop. But before we can tell you about the Raiindrop we need to dive into what Raiinmaker actually is and what we do. In this post, we'll cover: → What is Raiinmaker? → Why Raiinmaker? → $COIIN Airdrop Info. → Future Plans. What is Raiinmaker? Raiinmaker is split in two different avenues. → Raiinmaker Network → Raiinmaker App Raiinmaker Network The Raiinmaker Network utilizes decentralized AI and scalable Web3 powered infrastructure to transform the distribution of value tied to authentic identity, data and behaviour. Raiinmaker App Built on the Raiinmaker Network, our AI powered Super App rewards users for generating AI content, training AI models and operating a mobile DePIN Node that provides decentralized compute and network validation. Why Raiinmaker & What's All The Hype About? → DePin & AI Focused → 15 million+ Transactions on the network → 150k+ Nodes → 120k+ Transaction per second (TPS) → Partnered with Disney, The Boeing Company & Oracle → Powered By 1 Token You now have the chance to be an early adopter and to secure your allocation of that very token: → $COIIN How Can YOU Participate In The $COIIN Airdrop? We have reserved an allocation of Coiin tokens for our most loyal users and validators. How to participate: → Follow Raiinmaker on Discord & X → Sign up on → Download the Raiinmaker App → Claim a wallet → Register as a Validator → Link your Raiinmaker account to → Claim a wallet with Bitcoin, Ethereum, Solana, or Azuki NFT Upcoming Plans: 2024 is set to be our biggest year, here at Rainmaker, from the Coiin TGE to enterprise application deployments. Here is what we're getting up to: Coiin TGE & Raiinmaker Network Mainnet - Public launch of $COIIN with full utility of the Raiinmaker Network including rewards for node validators. Enterprise Application Deployment - Full integration and launch of multiple large scale enterprise partners on the Raiinmaker Network. AI Decentralized Compute - Integration of Raiinmaker Network nodes and validator infrastructure with AI systems to provide compute, powered by $COIIN. AI Network Features - AI Model Training, Data Labelling, and Beta DePIN node deployment. Learn more about our Raiindrop:

Raiinmaker

43,075 次观看 • 2 年前

I've built it for you!! It's an automated AI system that analyzes AI case studies (you can change the use case) to identify and document enterprise-level AI implementations. It starts by reading URLs from a CSV file and uses web scraping (either through WebLoader or Firecrawl) to extract the content from each case study. The extracted content is then sent to Claude 3.5 Sonnet, which analyzes whether the case study represents a genuine enterprise AI implementation based on specific criteria like company maturity, implementation scale, and measurable business outcomes. For each URL, the system first saves the raw content and then performs this initial qualification analysis. If Claude determines that a case study qualifies as an enterprise AI implementation, the system proceeds to generate a detailed analysis. It creates three types of reports: - an individual case study report with sections like Executive Summary, AI Strategy Analysis, and Business Impact Assessment - a cross-case analysis that identifies patterns and trends across multiple case studies - and an executive dashboard summarizing key metrics and insights. All of these reports are saved in structured formats (markdown for individual reports, JSON for cross-case analysis and dashboard) in their respective directories. If a case study doesn't qualify as an enterprise AI implementation, the system logs the reason and moves on to the next URL. The entire process is asynchronous and provides detailed terminal feedback about its progress and decisions.

I've built it for you!! It's an automated AI system that analyzes AI case studies (you can change the use case) to identify and document enterprise-level AI implementations. It starts by reading URLs from a CSV file and uses web scraping (either through WebLoader or Firecrawl) to extract the content from each case study. The extracted content is then sent to Claude 3.5 Sonnet, which analyzes whether the case study represents a genuine enterprise AI implementation based on specific criteria like company maturity, implementation scale, and measurable business outcomes. For each URL, the system first saves the raw content and then performs this initial qualification analysis. If Claude determines that a case study qualifies as an enterprise AI implementation, the system proceeds to generate a detailed analysis. It creates three types of reports: - an individual case study report with sections like Executive Summary, AI Strategy Analysis, and Business Impact Assessment - a cross-case analysis that identifies patterns and trends across multiple case studies - and an executive dashboard summarizing key metrics and insights. All of these reports are saved in structured formats (markdown for individual reports, JSON for cross-case analysis and dashboard) in their respective directories. If a case study doesn't qualify as an enterprise AI implementation, the system logs the reason and moves on to the next URL. The entire process is asynchronous and provides detailed terminal feedback about its progress and decisions.

Muratcan Koylan

85,353 次观看 • 1 年前

🔥 Not every memecoin is built the same. $SMOKE has evolved into a LayerZero-powered, multi-chain ecosystem with ONE unified supply shared across Ethereum, BASE, BNB Chain, and Robinhood Chain—with Solana planned next. Everything is transparent and verifiable on-chain, from token distribution to locked supply. This is only the beginning. Stay tuned for what's coming next. 💨 🌐 𝕏 💬 👑 CA: "0x6FBa5157f650DE083Bf8ca1B19Cb172dc511843d" #SMOKE #LayerZero #Base #Ethereum #BNBChain #RobinhoodChain #Memecoin

🔥 Not every memecoin is built the same. $SMOKE has evolved into a LayerZero-powered, multi-chain ecosystem with ONE unified supply shared across Ethereum, BASE, BNB Chain, and Robinhood Chain—with Solana planned next. Everything is transparent and verifiable on-chain, from token distribution to locked supply. This is only the beginning. Stay tuned for what's coming next. 💨 🌐 𝕏 💬 👑 CA: "0x6FBa5157f650DE083Bf8ca1B19Cb172dc511843d" #SMOKE #LayerZero #Base #Ethereum #BNBChain #RobinhoodChain #Memecoin

Sparco DeFi

114,534 次观看 • 2 个月前

We secured more than $400 million in federal grants for South Carolina's First Congressional District. We delivered those results by building a team with one purpose: finding every federal dollar South Carolina is entitled to. South Carolina is leaving millions of dollars on the table every year. As Governor, no county in this state will be left out.

We secured more than $400 million in federal grants for South Carolina's First Congressional District. We delivered those results by building a team with one purpose: finding every federal dollar South Carolina is entitled to. South Carolina is leaving millions of dollars on the table every year. As Governor, no county in this state will be left out.

Nancy Mace

16,496 次观看 • 5 个月前

“DA layers really differ across three dimensions: performance, programmability, and AI-native design — because on-chain AI can’t operate in a world measured in mere megabytes per second.” Sachi Miyasaki catches up with Michael Heinrich (Ø,G), Founder of 0G Labs (Home of Infinite AI), to break down how 0G compares with Celestia, Avail, and EigenDA: why throughput needs to increase by orders of magnitude, how to move beyond the broadcast bottleneck, and why a decentralized storage network is essential for ultra-fast data ingestion and retrieval.

“DA layers really differ across three dimensions: performance, programmability, and AI-native design — because on-chain AI can’t operate in a world measured in mere megabytes per second.” Sachi Miyasaki catches up with Michael Heinrich (Ø,G), Founder of 0G Labs (Home of Infinite AI), to break down how 0G compares with Celestia, Avail, and EigenDA: why throughput needs to increase by orders of magnitude, how to move beyond the broadcast bottleneck, and why a decentralized storage network is essential for ultra-fast data ingestion and retrieval.

BeaconLayer Podcast

48,419 次观看 • 3 个月前

“DA layers really differ across three dimensions: performance, programmability, and AI-native design — because on-chain AI can’t operate in a world measured in mere megabytes per second.” Sachi Miyasaki catches up with Michael Heinrich (Ø,G), Founder of 0G Labs (Home of Infinite AI), to break down how 0G compares with Celestia, Avail, and EigenDA: why throughput needs to increase by orders of magnitude, how to move beyond the broadcast bottleneck, and why a decentralized storage network is essential for ultra-fast data ingestion and retrieval.

“DA layers really differ across three dimensions: performance, programmability, and AI-native design — because on-chain AI can’t operate in a world measured in mere megabytes per second.” Sachi Miyasaki catches up with Michael Heinrich (Ø,G), Founder of 0G Labs (Home of Infinite AI), to break down how 0G compares with Celestia, Avail, and EigenDA: why throughput needs to increase by orders of magnitude, how to move beyond the broadcast bottleneck, and why a decentralized storage network is essential for ultra-fast data ingestion and retrieval.

BeaconLayer Podcast

76,370 次观看 • 3 个月前