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Botify is all in at SendAI’s MCP Hackathon – pushing Web3 and AI Automation forward. This is a serious flex by the Solana Foundation. We’re not just participating; we’re building something that matters Botify.Cloud We’re introducing an MCP that integrates Amazon Checkout and Google Maps API to make SOL...

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Botify.Cloud

24,176 subscribers

27,477 次观看 • 1 年前 •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

10 条评论

Smokybear42 的头像
Smokybear421 年前

$BOTIFY is changing the way we live little by little

MightyBot 的头像
MightyBot1 年前

🧠 Unified Search. Smarter Meetings. Effortless CRM. MightyBot is your AI agent platform for seamless workflows—record meetings, automate CRM updates, and find answers across apps in seconds. 🌟 Focus on what matters. We'll handle the grind.

Pourya Karimi 的头像
Pourya Karimi1 年前

🚀🚀🚀🙏🏻🙏🏻🙏🏻💎💎💎🌹🌹🌹

ECHO 的头像
ECHO1 年前

Real world utility and an active community...this is what real cryptocurrency is supposed to be about

zyptoman 的头像
zyptoman1 年前

this is legit

tt4k 的头像
tt4k1 年前

This looks great, the team is cooking 👨‍🍳💻

Dream Chaser 🏆 的头像
Dream Chaser 🏆1 年前

Definitely shows how committed the $Botify team is in giving us the best💪🏼 I love this

Tadej P. 的头像
Tadej P.1 年前

This look great thanks @AltcoinGordon to point at @BotifydotCloud 🚀🚀🚀

Here_for_crypt0 的头像
Here_for_crypt01 年前

Imagine the christmas shopping 🤯 I might actually do it myself this year😂

PoolGuy 的头像
PoolGuy1 年前

This doesn’t seem bullish. Make me believe.

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And this just in ... Snowflake and Anthropic are expanding our work across Snowflake Cortex AI – with Claude powering Snowflake Cortex Code and Snowflake Intelligence – as well as Claude Marketplace. 🚀 As more organizations use Anthropic Claude models directly inside Snowflake, demand continues to grow for governed, production-ready AI that delivers the security, observability, and scale enterprises require. Together, Snowflake and Anthropic are helping accelerate enterprise AI adoption and build the foundation for the agentic enterprise. See how we’re building it together, and how customers are using Snowflake and Anthropic to power real-world AI use cases across their organizations:

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Nuwa AI has been building across multiple fronts — and here’s how it all fits together ↓ Main platform 1⃣Nuwa Gateway One gate to all AI models — pay per use, powered by crypto. → Core infrastructure 2⃣x402x — programmable onchain actions, agent execution & gasless payments → Applications built on x402 3⃣ — the first gasless, approval-less swaps → 4⃣ — AI agents executing x402 Actions → Agent-native experiments 5⃣AI Poker Arena — autonomous agents playing poker → Nuwa started with the AI Gateway, then built x402x as the underlying execution and payment layer. Apps and experiments extend from that foundation. We ship in public and scale what gains real momentum. More to come 🔥

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12,383 次观看 • 9 个月前

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FOMO

26,338 次观看 • 1 年前

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Andrew Ng

142,256 次观看 • 1 年前

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AISI GROUP

12,348 次观看 • 7 个月前

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We’re pushing cross-chain automation to a new level. Our backend Motoko architecture now lets an $ICP smart contract directly execute $NEAR transactions without any client-side code. The contract itself becomes the agent fully autonomous, programmable, and always on. To complement this, we introduced a NEAR-specific on-chain RPC Oracle canister that cryptographically verifies NEAR data and transactions. This dramatically improves reliability, reduces latency, and unlocks 24/7 trust-minimized execution across NEAR. But we’re not stopping there. Our backend execution layer is already designed to operate seamlessly across chains like $Monad, $TRON, $SUI, and $ADA, with Motoko-driven workflows and cross-chain messaging. The RPC Oracle is purpose-built for $NEAR today, while all these ecosystems—and more—can leverage our autonomous backend compute model.

ICP HUB Egypt

12,353 次观看 • 9 个月前

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We’ve integrated a first-of-its-kind, privacy-native MCP connector layer to the Dot platform, making DotChat agentic by default. Live at → Even in private AI, the standard product is: pick a model, send a prompt, maybe enable web search and get an answer. This is simply not enough. MCPs changed what AI agents can do, but they are trapped inside: Claude Code, Cursor, local agents, API tooling and enterprise setups. Through Dot, users can now connect any MCP directly into their AI workspace, while maintaining Dot’s privacy boundary around the entire workflow. This means Dot users won’t just ask models questions, they’ll be able to connect tools, inspect onchain state, check portfolios, prepare transactions, and interact with Base from inside the chat flow. And yes, we’re starting with the big one. The Base MCP. This is a major step toward Dot’s agentic vision: powerful AI agents that can interact with the world without compromising user privacy. Check our demo below, where we integrate the updated Base MCP into Dot, and utilize it to buy $10 in $DOT, all whilst retaining full anonymity ↓

Dot

11,063 次观看 • 2 个月前

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45:43

DROPS E27: Ben from Talus Labs: Building the Future of Decentralized AI Agents In this episode Ben breaks down why AI isn’t a bubble, how Talus is redefining on-chain agents, and why optimism is something you earn and not something you just feel. We talk about: - Why AI is not a bubble and how mega-cap tech is funding the next AI wave through massive CapEx - How Talus enables decentralized AI agents that can act and transact trustlessly - The three big crypto × AI intersections: compute, data ownership, and intelligent on-chain workflows - Why AI needs verifiable, censorship-resistant execution layers and why blockchains provide that - Nuclear energy as a prerequisite for AGI-scale compute demand - Why SWE’s object model + parallelization is perfect for autonomous agent payments and priority fees And much more! Timestamps: 0:00 Introduction 1:31 Welcome To Drops 2:10 Getting Backers Like Polychain 3:16 Building While In College 7:51 VC’s vs Founders Differences Explained 10:01 Is There An AI Bubble 11:53 How Do We Quantify The AI Opportunity In Crypto 12:33 AI Is Difficult To Invest In, Why? 13:35 Risks To Look Out For To Ensure AI Investments Deliver 16:47 Energy Being A Big Risk For AI 20:50 How You Became Fascinated By Crypto & Blockchain 22:00 Why Does AI & Blockchain Intersection Make Sense Compute Side 24:39 Why Does AI & Blockchain Intersection Make Sense for Data Ownership 26:30 Complex Workflows With Intelligent Execution Meaning 28:19 Why Do We Need This On Blockchain 30:26 How Adding This Decentralized Layer Helps With The Black Box 32:01 Explain Talus To Your Mom 33:39 Talus Solved Blockchain Determinism Limitation Explained 35:43 Two Examples That Can Be Built On The Zapier Of Web 3 39:32 Why Get Investment From SUI 42:56 What’s Needed To Get To The Next Level 43:35 One Takeaway From Conversation 43:51 One Thing Pessimistic People Are Missing

MR SHIFT 🦁

41,057 次观看 • 9 个月前

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2:40

Base just launched something that changes how AI agents interact with blockchain. It's called Base MCP. Here's what it actually does 🧵 Base MCP is an open-source MCP server built by Coinbase for the Base network. It connects AI clients, Claude, ChatGPT, to Base Network. You type a natural language prompt. The agent prepares the transaction. You approve it. Done. Your keys never touch the server. Nothing moves on-chain without your explicit sign-off. you can use it to Track portfolio balances across Base and any Base Account supported EVM chain. View transaction history. Send funds Swap tokens Use supported apps and protocols on Base through skill plugins Pay for x402 enabled services To test it, I connected it to BlockLottery, an on-chain lottery protocol with NFT tickets and VRF-powered draws. Two questions to the agent: → "What lotteries are open right now?" Queried the factory contract. Matched the partner dashboard exactly. → "Check this wallet's portfolio." Scanned the chain, handled RPC limits, returned a clean breakdown. Spot on. This is what crypto-native AI tooling looks like. Not hype. An actual working MCP server, launched May 26, 2026. Base MCP docs: BlockLottery: Base Build Base #blockchain #AI #Web3

BlockLottery

11,671 次观看 • 3 个月前

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0:39

Virtuals is Expanding to Solana! We are beyond excited to announce Virtuals' expansion to Solana, marking a significant step in our journey to empower builders and drive innovation across multiple ecosystems. Solana, known for its speed, scalability, and vibrant community, is the perfect place for us to grow and bring our vision to life. Here’s what this means for the Virtuals Nation: 🔹Meteora Pool Launch: We’re introducing our very own Meteora Pool on Solana, opening up new opportunities for trading and engagement. 🔹Strategic SOL Reserve (SSR): 1% of trading fees will be converted to SOL, creating a dedicated reserve to support and reward agents and creators within our ecosystem. 🔹Base Pair Consistency: The AGENT/VIRTUAL trading pair you know and love will remain consistent on Solana, ensuring a seamless user experience. But we’re not stopping there. We’re doubling down on our commitment to empower builders and creators in the Base and Solana ecosystem with the launch of our Venture Partner Model: 🔷Grants of 42K $VIRTUAL tokens for projects based on Base and Solana. This initiative is designed to help early-stage builders get on their feet and scale their ideas. To further inspire innovation, we’re hosting the Virtuals AI Hackathon this March, with technical support and mentorship provided by the Solana Foundation. This event will bring together some of the brightest minds in the space to build, collaborate, and create groundbreaking solutions. Virtuals joining the Solana ecosystem is not just an expansion—it’s the beginning of a new chapter. We’re here to create value, empower builders, and grow the Virtuals Nation to new heights. A special shoutout to the incredible teams at Jupiter and LayerZero, who worked tirelessly with us day and night to make this expansion a reality. Your dedication and collaboration were instrumental in bringing Virtuals to Solana, and we couldn’t have done it without you. The future is multichain, and we’re leading the charge. Let’s build the future together.

Virtuals Protocol

2,289,546 次观看 • 1 年前

We’re excited to launch OpenMemory MCP, a private memory for MCP-compatible clients powered by mem0 Today, most AI assistants and dev tools operate without memory. You plan your roadmap in Claude, implement tasks in Cursor, but none of them know what the other did. Each tool operates in isolation, and your context disappears as soon as the session ends. OpenMemory MCP solves this. Built on the open Model Context Protocol (MCP), OpenMemory MCP runs 100% locally and provides a persistent, portable memory layer for all your AI tools. It enables agents and assistants to read from and write to a shared memory, securely and privately. Key capabilities: ✅Works across MCP clients like Cursor, Claude Desktop, Windsurf, Cline and more ✅Provides standardized memory operations (add_memories, search_memory, list_memories, delete_all_memories) ✅Stores data on your machine, fully private ✅Offers a centralized dashboard for visibility and control ✅Simple Docker-based setup with no vendor lock-in If you're building on MCP, OpenMemory MCP is the easiest way to add persistent, private memory to your clients with zero cloud dependencies and full local control. We’ve put together a short demo to show how it works Check it out in the links below 👇
2:24

We’re excited to launch OpenMemory MCP, a private memory for MCP-compatible clients powered by mem0 Today, most AI assistants and dev tools operate without memory. You plan your roadmap in Claude, implement tasks in Cursor, but none of them know what the other did. Each tool operates in isolation, and your context disappears as soon as the session ends. OpenMemory MCP solves this. Built on the open Model Context Protocol (MCP), OpenMemory MCP runs 100% locally and provides a persistent, portable memory layer for all your AI tools. It enables agents and assistants to read from and write to a shared memory, securely and privately. Key capabilities: ✅Works across MCP clients like Cursor, Claude Desktop, Windsurf, Cline and more ✅Provides standardized memory operations (add_memories, search_memory, list_memories, delete_all_memories) ✅Stores data on your machine, fully private ✅Offers a centralized dashboard for visibility and control ✅Simple Docker-based setup with no vendor lock-in If you're building on MCP, OpenMemory MCP is the easiest way to add persistent, private memory to your clients with zero cloud dependencies and full local control. We’ve put together a short demo to show how it works Check it out in the links below 👇

Taranjeet

472,273 次观看 • 1 年前

AI INTERVIEW: OPENAI'S SECRET WEAPON AI agents are no longer just hype—they're here to revolutionize automation, Web3, and beyond. SwarmNode.ai is building a serverless AI agent platform for scalability, efficiency, and real-world impact. In this exclusive interview, he reveals how AI swarms can outperform single models, why OpenAI’s Operator is just the beginning, and how crypto is fueling AI innovation. Plus, he breaks down DeepSeek’s game-changing AI breakthrough, the future of agent monetization, and why serverless AI could be the next frontier in automation. 01:37 – From Engineering to AI: The journey into artificial intelligence. 02:43 – The GPT-3 Moment: How OpenAI’s tech pulled him in. 04:10 – AI’s Biggest Challenge: Why real-world use cases lag behind. 05:05 – OpenAI’s Operator: Why it’s “rudimentary” (for now). 06:25 – Crypto & AI: How tokens help bootstrap AI startups. 08:15 – Can You Bootstrap a Startup with a Token? The trade-offs. 09:56 – 90% of AI Token Holders Don’t Use the Product—Does It Matter? 11:18 – What is SwarmNode?: AI agents, hosted serverlessly. 14:23 – AI Swarms: Why multiple agents outperform single models. 16:08 – What is a Swarm? A simple definition of collaborative AI. 17:32 – “How Can I Make Money with AI?”: Real-world use cases. 18:41 – AI Bounties: Hiring devs to build your custom agent. 20:50 – The Future of AI Marketplaces: Monetizing pre-built agents. 23:15 – DeepSeek’s Disruption: Why it’s good news for AI. 24:46 – Is SwarmNode Compatible with DeepSeek? How it integrates. 26:17 – SwarmNode vs. AI Launchpads: What makes it different? 27:42 – Why Serverless Matters: Cost savings & efficiency. 29:53 – AI Agents in the Real World: Booking flights, managing workflows, and more. 31:11 – Building SwarmNode for Developers: Why it started as a personal project. 32:27 – Explosive Growth: 200,000 AI agent executions in 5 weeks. 34:41 – Why SwarmNode Agents Aren’t Visible on 𝕏 Yet. 36:46 – Startup Hiring Lessons: Finding top AI talent. 39:15 – Why SwarmNode is Built in Python (and What’s Next). 40:32 – Scaling AI Workloads: Handling traffic surges. 41:42 – AWS & Cost Challenges: The biggest monetization hurdle. 42:58 – 2025: The Year of Mass AI Adoption. 45:22 – Should We Be Worried About AI’s Rapid Growth? 46:46 – The Most Underrated AI Tools Right Now. 47:34 – What’s Next for SwarmNode?: Making AI accessible to everyone.
49:12

AI INTERVIEW: OPENAI'S SECRET WEAPON AI agents are no longer just hype—they're here to revolutionize automation, Web3, and beyond. SwarmNode.ai is building a serverless AI agent platform for scalability, efficiency, and real-world impact. In this exclusive interview, he reveals how AI swarms can outperform single models, why OpenAI’s Operator is just the beginning, and how crypto is fueling AI innovation. Plus, he breaks down DeepSeek’s game-changing AI breakthrough, the future of agent monetization, and why serverless AI could be the next frontier in automation. 01:37 – From Engineering to AI: The journey into artificial intelligence. 02:43 – The GPT-3 Moment: How OpenAI’s tech pulled him in. 04:10 – AI’s Biggest Challenge: Why real-world use cases lag behind. 05:05 – OpenAI’s Operator: Why it’s “rudimentary” (for now). 06:25 – Crypto & AI: How tokens help bootstrap AI startups. 08:15 – Can You Bootstrap a Startup with a Token? The trade-offs. 09:56 – 90% of AI Token Holders Don’t Use the Product—Does It Matter? 11:18 – What is SwarmNode?: AI agents, hosted serverlessly. 14:23 – AI Swarms: Why multiple agents outperform single models. 16:08 – What is a Swarm? A simple definition of collaborative AI. 17:32 – “How Can I Make Money with AI?”: Real-world use cases. 18:41 – AI Bounties: Hiring devs to build your custom agent. 20:50 – The Future of AI Marketplaces: Monetizing pre-built agents. 23:15 – DeepSeek’s Disruption: Why it’s good news for AI. 24:46 – Is SwarmNode Compatible with DeepSeek? How it integrates. 26:17 – SwarmNode vs. AI Launchpads: What makes it different? 27:42 – Why Serverless Matters: Cost savings & efficiency. 29:53 – AI Agents in the Real World: Booking flights, managing workflows, and more. 31:11 – Building SwarmNode for Developers: Why it started as a personal project. 32:27 – Explosive Growth: 200,000 AI agent executions in 5 weeks. 34:41 – Why SwarmNode Agents Aren’t Visible on 𝕏 Yet. 36:46 – Startup Hiring Lessons: Finding top AI talent. 39:15 – Why SwarmNode is Built in Python (and What’s Next). 40:32 – Scaling AI Workloads: Handling traffic surges. 41:42 – AWS & Cost Challenges: The biggest monetization hurdle. 42:58 – 2025: The Year of Mass AI Adoption. 45:22 – Should We Be Worried About AI’s Rapid Growth? 46:46 – The Most Underrated AI Tools Right Now. 47:34 – What’s Next for SwarmNode?: Making AI accessible to everyone.

Mario Nawfal

338,311 次观看 • 1 年前

Today, we’re excited to announce our $50M Series B, led by Greenfield Partners, with participation from Lightspeed and Notable Capital. 🚀 At Patronus AI, we develop simulations and evals to train and improve AI. The first phase of AI was built on static benchmarks, but that era is over. As agents are used to solve longer and longer tasks, they need to practice in dynamic, living worlds to get better. Simulations are the critical infrastructure powering this next phase. As a company, we’re behind the most influential research and products in AI evaluation, like FinanceBench, Lynx, and Percival. And things have moved at the speed of light since.⚡ We partner with the world's leading frontier AI labs and enterprises, and our revenue has grown more than 15x over the past year. Additionally, today, we’re introducing a preview of the first Digital World Model for AI agent training and simulation: Patronus-DWM. Digital World Models are language diffusion world models that predict realistic environment behaviors and steer agent actions across digital workflows. Just as physical world models predict how objects move through space, we’re developing the equivalent for the digital world: predicting how agents act in digital workflows, then using that to scale the creation of high-quality training data for LLMs. Digital World Models help us push the frontier of ultra long horizon workflows, and unlock a new class of self-improving RL environments. This is our scalable approach to simulating all of the world’s intelligence. The round was also joined by Datadog, Inc., Samsung Ventures, Gokul Rajaram, Factorial Capital, and a large cohort of amazing AI leaders across Anthropic, OpenAI, Google DeepMind, NVIDIA, Recursive, and more.✨ It has been the ride of a lifetime. But we’re just getting started. The best is yet to come. "Do not go gentle into that good night, Rage, rage against the dying of the light" - Dylan Thomas (1954)
1:50

Today, we’re excited to announce our $50M Series B, led by Greenfield Partners, with participation from Lightspeed and Notable Capital. 🚀 At Patronus AI, we develop simulations and evals to train and improve AI. The first phase of AI was built on static benchmarks, but that era is over. As agents are used to solve longer and longer tasks, they need to practice in dynamic, living worlds to get better. Simulations are the critical infrastructure powering this next phase. As a company, we’re behind the most influential research and products in AI evaluation, like FinanceBench, Lynx, and Percival. And things have moved at the speed of light since.⚡ We partner with the world's leading frontier AI labs and enterprises, and our revenue has grown more than 15x over the past year. Additionally, today, we’re introducing a preview of the first Digital World Model for AI agent training and simulation: Patronus-DWM. Digital World Models are language diffusion world models that predict realistic environment behaviors and steer agent actions across digital workflows. Just as physical world models predict how objects move through space, we’re developing the equivalent for the digital world: predicting how agents act in digital workflows, then using that to scale the creation of high-quality training data for LLMs. Digital World Models help us push the frontier of ultra long horizon workflows, and unlock a new class of self-improving RL environments. This is our scalable approach to simulating all of the world’s intelligence. The round was also joined by Datadog, Inc., Samsung Ventures, Gokul Rajaram, Factorial Capital, and a large cohort of amazing AI leaders across Anthropic, OpenAI, Google DeepMind, NVIDIA, Recursive, and more.✨ It has been the ride of a lifetime. But we’re just getting started. The best is yet to come. "Do not go gentle into that good night, Rage, rage against the dying of the light" - Dylan Thomas (1954)

PatronusAI

95,619 次观看 • 2 个月前

Ran Neuner says an altcoin supercycle is coming, and AI agents will make the onchain economy 100x bigger "The altcoins didn't really perform very well against Bitcoin. They made a lot of promises they couldn't fulfil. We got to the bottom of those promises. And now, if we bounce here, ultimately it's time for there to be an altcoin supercycle." "There were no use cases. Now there are real use cases." "Ansem said it best, we built the best boomer casino, Hyperliquid, and we built the best zoomer casino, Pumpfun. You've got real world assets onchain, people trading them 24/7. Blockchain has put pressure on the Nasdaq to be open 24/7." "All the metrics are going exponential, number of holders of real world assets, number of transactions, onchain activity specifically around Solana. This technology is starting to work." "And very soon, AI agents will start using it. And when they do, that makes an economy that's 100 times bigger."
1:40

Ran Neuner says an altcoin supercycle is coming, and AI agents will make the onchain economy 100x bigger "The altcoins didn't really perform very well against Bitcoin. They made a lot of promises they couldn't fulfil. We got to the bottom of those promises. And now, if we bounce here, ultimately it's time for there to be an altcoin supercycle." "There were no use cases. Now there are real use cases." "Ansem said it best, we built the best boomer casino, Hyperliquid, and we built the best zoomer casino, Pumpfun. You've got real world assets onchain, people trading them 24/7. Blockchain has put pressure on the Nasdaq to be open 24/7." "All the metrics are going exponential, number of holders of real world assets, number of transactions, onchain activity specifically around Solana. This technology is starting to work." "And very soon, AI agents will start using it. And when they do, that makes an economy that's 100 times bigger."

The Wolf Of All Streets

54,641 次观看 • 20 天前

We’re pushing hard to grow #SmartDeFi and $FEG while keeping our core ecosystem strong. Our focus is on expansion, marketing, and continuous updates to bring more users, projects, and rewards to the FEG community. --- Expanding to More EVM Chains We’re working on bringing SmartDeFi to more EVM chains, giving projects the freedom to launch where they want while still benefiting FEG stakers on #BNBChain. Stakers on BNB Chain will earn from fees generated across all chains, making staking even more rewarding. More chains = more projects = more volume flowing into SmartDeFi, driving greater adoption and growth. These expansions will require development, and the timeline is TBD, but this is a key focus for us. --- Solana Expansion – A Possible SmartDeFi Integration We’re in ongoing discussions about the possibility of bringing SmartDeFi to $SOL, but since Solana can’t handle complex smart contracts, this would be a minimalist version of SmartDeFi built specifically for its ecosystem. It would maintain SmartDeFi’s core security and asset-backing principles but in a form that works within Solana’s limitations. The goal is to funnel Solana users and projects into the full SmartDeFi ecosystem on EVM chains, where they can access everything we offer. This expansion is still tentative, and we’ll share more updates as discussions progress. --- Marketing & Ecosystem Growth We’re making sure SmartDeFi and FEG get the exposure they deserve by pushing hard on multiple fronts: CEX Listings: We recently got listed on LBank, Biconomy, and another exchange, and we’re working on more to expand accessibility. Influencer & KOL Outreach: We’re targeting YouTubers, Twitter influencers, and project leaders to spread awareness and drive adoption. Community Revival & Engagement: We’re bringing back the 2021 hype with meme competitions, Task2Earn campaigns, and better engagement with the FEG Gorilla brand. SmartDeFi Upgrades: We’ve already added multi-chain UI, a notification system, wallet tracking, and the upgrader tool, with more updates on the way to make it easier for projects to transition to SmartDeFi. We’re making sure FEG and SmartDeFi grow together, bringing more chains, more users, and more rewards to the entire ecosystem. Expansion is coming, and we’re here to build for the long run. #ElonMusk #GRAMMYs #cryptomarket #DeFi
0:38

We’re pushing hard to grow #SmartDeFi and $FEG while keeping our core ecosystem strong. Our focus is on expansion, marketing, and continuous updates to bring more users, projects, and rewards to the FEG community. --- Expanding to More EVM Chains We’re working on bringing SmartDeFi to more EVM chains, giving projects the freedom to launch where they want while still benefiting FEG stakers on #BNBChain. Stakers on BNB Chain will earn from fees generated across all chains, making staking even more rewarding. More chains = more projects = more volume flowing into SmartDeFi, driving greater adoption and growth. These expansions will require development, and the timeline is TBD, but this is a key focus for us. --- Solana Expansion – A Possible SmartDeFi Integration We’re in ongoing discussions about the possibility of bringing SmartDeFi to $SOL, but since Solana can’t handle complex smart contracts, this would be a minimalist version of SmartDeFi built specifically for its ecosystem. It would maintain SmartDeFi’s core security and asset-backing principles but in a form that works within Solana’s limitations. The goal is to funnel Solana users and projects into the full SmartDeFi ecosystem on EVM chains, where they can access everything we offer. This expansion is still tentative, and we’ll share more updates as discussions progress. --- Marketing & Ecosystem Growth We’re making sure SmartDeFi and FEG get the exposure they deserve by pushing hard on multiple fronts: CEX Listings: We recently got listed on LBank, Biconomy, and another exchange, and we’re working on more to expand accessibility. Influencer & KOL Outreach: We’re targeting YouTubers, Twitter influencers, and project leaders to spread awareness and drive adoption. Community Revival & Engagement: We’re bringing back the 2021 hype with meme competitions, Task2Earn campaigns, and better engagement with the FEG Gorilla brand. SmartDeFi Upgrades: We’ve already added multi-chain UI, a notification system, wallet tracking, and the upgrader tool, with more updates on the way to make it easier for projects to transition to SmartDeFi. We’re making sure FEG and SmartDeFi grow together, bringing more chains, more users, and more rewards to the entire ecosystem. Expansion is coming, and we’re here to build for the long run. #ElonMusk #GRAMMYs #cryptomarket #DeFi

FEG (Feed Every Gorilla)

15,345 次观看 • 1 年前

Today, we’re excited to announce our $50M Series B, led by Greenfield Partners (formerly TPG Capital), with participation from Lightspeed and Notable Capital. 🚀 At PatronusAI, we develop simulations and evals to train and improve AI. The first phase of AI was built on static benchmarks, but that era is over now. As agents are used to solve longer and longer tasks, they need to practice in dynamic, living worlds to get better. Simulations are the critical infrastructure powering this next phase. As a company, we’re behind the most influential research and products in AI evaluation, like FinanceBench, Lynx, and Percival. And things have moved at the speed of light since. ⚡ We partner with the world's leading frontier AI labs and enterprises, and our revenue has grown more than 15x over the past year. Additionally, today, we’re introducing a preview of the first Digital World Model for AI agent training and simulation: Patronus-DWM. Digital World Models are language diffusion world models that predict realistic environment behaviors and steer agent actions across digital workflows. Just as physical world models predict how objects move through space, we’re developing the equivalent for the digital world: predicting how agents act in digital workflows, then using that to scale the creation of high-quality training data for LLMs. Digital World Models help us push the frontier of ultra long horizon workflows, and unlock a new class of self-improving RL environments. This is our scalable approach to simulating all of the world’s intelligence. The round was also joined by Datadog, Inc., Samsung Ventures, Gokul Rajaram, Factorial Capital, and a large cohort of amazing AI leaders and researchers across Anthropic, OpenAI, Google DeepMind, NVIDIA, Recursive, and more. ✨ It has been the ride of a lifetime. But we’re just getting started. The best is yet to come. "Do not go gentle into that good night, Rage, rage against the dying of the light" - Dylan Thomas (1954)
1:50

Today, we’re excited to announce our $50M Series B, led by Greenfield Partners (formerly TPG Capital), with participation from Lightspeed and Notable Capital. 🚀 At PatronusAI, we develop simulations and evals to train and improve AI. The first phase of AI was built on static benchmarks, but that era is over now. As agents are used to solve longer and longer tasks, they need to practice in dynamic, living worlds to get better. Simulations are the critical infrastructure powering this next phase. As a company, we’re behind the most influential research and products in AI evaluation, like FinanceBench, Lynx, and Percival. And things have moved at the speed of light since. ⚡ We partner with the world's leading frontier AI labs and enterprises, and our revenue has grown more than 15x over the past year. Additionally, today, we’re introducing a preview of the first Digital World Model for AI agent training and simulation: Patronus-DWM. Digital World Models are language diffusion world models that predict realistic environment behaviors and steer agent actions across digital workflows. Just as physical world models predict how objects move through space, we’re developing the equivalent for the digital world: predicting how agents act in digital workflows, then using that to scale the creation of high-quality training data for LLMs. Digital World Models help us push the frontier of ultra long horizon workflows, and unlock a new class of self-improving RL environments. This is our scalable approach to simulating all of the world’s intelligence. The round was also joined by Datadog, Inc., Samsung Ventures, Gokul Rajaram, Factorial Capital, and a large cohort of amazing AI leaders and researchers across Anthropic, OpenAI, Google DeepMind, NVIDIA, Recursive, and more. ✨ It has been the ride of a lifetime. But we’re just getting started. The best is yet to come. "Do not go gentle into that good night, Rage, rage against the dying of the light" - Dylan Thomas (1954)

Anand Kannappan

44,432 次观看 • 2 个月前

Just got back from SuperAI 2025 and wow so much to take in. I learned a ton about how AI agents are being used across different industries. It’s one thing to read about these use cases, but seeing them in action and hearing directly from the people building them was a whole other level. Robotics also really stood out for me. I didn’t expect to get so into it, but the demos were super impressive and made the future feel a lot closer than I thought. What made it even more exciting is seeing how aligned everything is with what we’re working on at TARS AI 🤖 . We’re always innovating and building tools and products that sit right at the intersection of AI, automation, and real-world impact. This event gave me even more ideas and energy to keep pushing things forward. If you were at SuperAI too, let’s connect. I’d love to hear what inspired you most!
0:20

Just got back from SuperAI 2025 and wow so much to take in. I learned a ton about how AI agents are being used across different industries. It’s one thing to read about these use cases, but seeing them in action and hearing directly from the people building them was a whole other level. Robotics also really stood out for me. I didn’t expect to get so into it, but the demos were super impressive and made the future feel a lot closer than I thought. What made it even more exciting is seeing how aligned everything is with what we’re working on at TARS AI 🤖 . We’re always innovating and building tools and products that sit right at the intersection of AI, automation, and real-world impact. This event gave me even more ideas and energy to keep pushing things forward. If you were at SuperAI too, let’s connect. I’d love to hear what inspired you most!

Armielyn Obinguar

106,245 次观看 • 1 年前