Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

The next phase of on-chain AI requires more than execution and models. It requires identity. We’ve partnered with Unstoppable.ai to launch .openx, a dedicated domain designed just for on-chain AI systems. .openx provides a human-readable identity layer that maps directly to wallet addresses, without changing execution logic, permissions, or...

OpenledgerHQ's profile picture

OpenLedger

385,124 subscribers

14,606 Aufrufe • vor 8 Monaten •via X (Twitter)

BildungWissenschaft & Technologie
LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Quack AI × Avalanche🔺 Q402 is officially expanding into the Avalanche ecosystem. We are pushing toward more scalable, execution-first environments for agents. With Avalanche's sub-second finality and builder-first stack, Q402 now provides a foundation for verifiable, policy-aware execution that scales with real-world usage. What’s new for the Avalanche community? The Q402 signature-based execution layer is now LIVE on the Avalanche C-Chain. Users and builders can now: • Zero Gas Barrier: Settle ERC-20 transfers (USDC, etc.) without holding AVAX for gas. • Sign-to-Pay: Decouple intent signing from transaction execution for a seamless UX. • Production-Ready: High-performance, secure, and auditable execution layer for the agent economy. Contract Deployed on C-Chain: Execution should feel native. Verification should be default. Welcome to the agent-native era on Avalanche.
0:12

Quack AI × Avalanche🔺 Q402 is officially expanding into the Avalanche ecosystem. We are pushing toward more scalable, execution-first environments for agents. With Avalanche's sub-second finality and builder-first stack, Q402 now provides a foundation for verifiable, policy-aware execution that scales with real-world usage. What’s new for the Avalanche community? The Q402 signature-based execution layer is now LIVE on the Avalanche C-Chain. Users and builders can now: • Zero Gas Barrier: Settle ERC-20 transfers (USDC, etc.) without holding AVAX for gas. • Sign-to-Pay: Decouple intent signing from transaction execution for a seamless UX. • Production-Ready: High-performance, secure, and auditable execution layer for the agent economy. Contract Deployed on C-Chain: Execution should feel native. Verification should be default. Welcome to the agent-native era on Avalanche.

Quack AI

23,330 Aufrufe • vor 5 Monaten

InterLink Sets Next Week Launch For INS Identity Layer InterLink (InterLink Labs 👤 + 🌐) says its InterLink Name Service (INS) will launch next week as a major ecosystem milestone. INS stores ownership and records on chain through smart contracts. The platform gives users full control over their digital identities. It is designed to support payments, credentials, governance, and future Web3 applications. InterLink says INS will become a universal identity layer across its ecosystem.
0:15

InterLink Sets Next Week Launch For INS Identity Layer InterLink (InterLink Labs 👤 + 🌐) says its InterLink Name Service (INS) will launch next week as a major ecosystem milestone. INS stores ownership and records on chain through smart contracts. The platform gives users full control over their digital identities. It is designed to support payments, credentials, governance, and future Web3 applications. InterLink says INS will become a universal identity layer across its ecosystem.

BSCN

25,854 Aufrufe • vor 29 Tagen

The meme supercycle was fun, but the Agent Economy is the real revolution. We are witnessing the transition of AI from "tool" to "labor." It’s no longer just about chatbots, it’s about Economic Identity and Autonomous Execution. This is exactly where Bluwhale sits. We are building the Intelligence Layer that gives Agents the context (Identity) they need to actually work for you on-chain. The macro shift is here 🐋🚀
0:12

The meme supercycle was fun, but the Agent Economy is the real revolution. We are witnessing the transition of AI from "tool" to "labor." It’s no longer just about chatbots, it’s about Economic Identity and Autonomous Execution. This is exactly where Bluwhale sits. We are building the Intelligence Layer that gives Agents the context (Identity) they need to actually work for you on-chain. The macro shift is here 🐋🚀

Bluwhale

41,380 Aufrufe • vor 8 Monaten

❔ A Question for Our Community 👇 Is on-chain automation the next evolution of trading? 🔗 Imagine running automated strategies with clear signals, targets, and stops, first tested on historical data and then executed directly on a DEX like Hyperliquid. Everything is managed from a single control panel, from backtesting the idea to launching it live and monitoring performance on-chain. Does this kind of on-chain automation feel like the next step for serious trading, or do you still prefer centralized execution? 🤔 💬 Drop your thoughts below!
0:10

❔ A Question for Our Community 👇 Is on-chain automation the next evolution of trading? 🔗 Imagine running automated strategies with clear signals, targets, and stops, first tested on historical data and then executed directly on a DEX like Hyperliquid. Everything is managed from a single control panel, from backtesting the idea to launching it live and monitoring performance on-chain. Does this kind of on-chain automation feel like the next step for serious trading, or do you still prefer centralized execution? 🤔 💬 Drop your thoughts below!

GT Protocol

40,731 Aufrufe • vor 8 Monaten

EIP-8004 is coming to the Nova architecture, a trustless infrastructure for AI agents that introduces key on-chain registries, enabling agents to interact safely across the Shido Network. These core components allow autonomous AI agents to verify identity, build reputation, and collaborate without relying on a centralized platform. The result is a decentralized trust layer for agent-to-agent economies, where agents can autonomously discover, evaluate, and work with one another across the Shido ecosystem.
0:20

EIP-8004 is coming to the Nova architecture, a trustless infrastructure for AI agents that introduces key on-chain registries, enabling agents to interact safely across the Shido Network. These core components allow autonomous AI agents to verify identity, build reputation, and collaborate without relying on a centralized platform. The result is a decentralized trust layer for agent-to-agent economies, where agents can autonomously discover, evaluate, and work with one another across the Shido ecosystem.

Shido

390,734 Aufrufe • vor 5 Monaten

BNBAgent SDK is now live on BNB Chain mainnet. It gives developers a modular standard for building AI agents with identity, commerce, payments and memory, as the core infrastructure needed for production-ready agentic applications on BNB Chain. Here’s what builders need to know 🧵👇
0:15

BNBAgent SDK is now live on BNB Chain mainnet. It gives developers a modular standard for building AI agents with identity, commerce, payments and memory, as the core infrastructure needed for production-ready agentic applications on BNB Chain. Here’s what builders need to know 🧵👇

BNB Chain

321,324 Aufrufe • vor 3 Monaten

Big updates have arrived! 🐋✨ We’ve given your dashboard a major uplift. Introducing AI Agents, your new intelligent partners on-chain. 🧠💬 You can now chat directly with Bluwhale's AI to unlock deeper insights and make smarter moves. Experience the future of on-chain intelligence: 👉
0:11

Big updates have arrived! 🐋✨ We’ve given your dashboard a major uplift. Introducing AI Agents, your new intelligent partners on-chain. 🧠💬 You can now chat directly with Bluwhale's AI to unlock deeper insights and make smarter moves. Experience the future of on-chain intelligence: 👉

Bluwhale

81,832 Aufrufe • vor 8 Monaten

It’s time for a change. A big one, in fact, as we’re embarking on the next chapter of our journey, focused on groundbreaking implementations of AI both in trading and on-chain. We’ve been building behind the scenes for a while, and now it’s time to reveal all-new products that go above and beyond our previous roadmap. To reflect this, we’re also revamping our brand identity and becoming Numerico. The token ticker $NWC and contract addresses will remain the same, but the name has been changed. We’re incredibly grateful for your support all these years as the NewsCrypto community, and we’re excited to have you with us at We are determined and ready to reshape the way we implement AI, with groundbreaking applications both in trading and on-chain. Exciting times ahead!
0:14

It’s time for a change. A big one, in fact, as we’re embarking on the next chapter of our journey, focused on groundbreaking implementations of AI both in trading and on-chain. We’ve been building behind the scenes for a while, and now it’s time to reveal all-new products that go above and beyond our previous roadmap. To reflect this, we’re also revamping our brand identity and becoming Numerico. The token ticker $NWC and contract addresses will remain the same, but the name has been changed. We’re incredibly grateful for your support all these years as the NewsCrypto community, and we’re excited to have you with us at We are determined and ready to reshape the way we implement AI, with groundbreaking applications both in trading and on-chain. Exciting times ahead!

NumericoAI

71,227 Aufrufe • vor 2 Jahren

It’s official. $HOLO is live. This isn’t just another token launch—it’s the first fair launch designed for AI-native IP. Hololaunch gives every creator and community a real shot at owning the next wave of content and IP economies. No bots. No gas wars. No unfair allocations. $HOLO isn’t just a token—it’s the foundation for how AI IPs launch, grow, and live on-chain.
0:11

It’s official. $HOLO is live. This isn’t just another token launch—it’s the first fair launch designed for AI-native IP. Hololaunch gives every creator and community a real shot at owning the next wave of content and IP economies. No bots. No gas wars. No unfair allocations. $HOLO isn’t just a token—it’s the foundation for how AI IPs launch, grow, and live on-chain.

Holoworld AI

289,324 Aufrufe • vor 11 Monaten

🚨 BIG EVENT ANNOUNCEMENT! 🚨 The Snapshot was officially taken at 11:59 PM UTC on March 31st, and we’re now processing the data. A huge thank you to everyone who stayed active, fed their Capybaras, and contributed to this incredible journey! ❤️ But trust us—the best is yet to come! ⸻ 🎉 THE BIG EVENT REVEALED! We’ve been searching for a way to reward our community in a massive way… far beyond the typical $5 airdrops from other SocialFi projects. And we’ve found the perfect solution! 🚀 $500,000+ in Multi-Chain Identities! We’re excited to announce a major partnership with a Web3 infrastructure company specializing in identity management across modular blockchains. Their Modular Naming Service (MNS) allows users to transform complex wallet addresses into simple, recognizable identities usable across multiple blockchains. By securing your unique username through MNS, you can: • Simplify Transactions: Replace complex wallet addresses with a single, easy-to-remember name across multiple blockchains. • Unify Your Identity: Manage a single, recognizable identity across various platforms, enhancing your presence in the Web3 ecosystem. • Assess Your On-Chain Value: Utilize the AI Identity Score feature to evaluate your on-chain activity. A higher score may increase your eligibility for future airdrops and rewards. Who Gets These Identities? ✅ Player Card NFT Holders: • Each identity is valued between $40 and $1,250. • Distribution is based on your Leaderboard position at the time of the Snapshot, considering Player Card NFT holders after adjusting balances for Money Bag multipliers. ✅ All Capybara Users (even without an NFT): • Every participant who has earned at least 100,000 points qualifies for a $10 identity. ⸻ 🤖 COMING SOON: AI-POWERED TWITTER TOOL! We’re developing an AI Twitter Agent designed to help Capybara players enhance their social media presence and engagement and unlock additional rewards. ⸻ 🔥 CAPYBARA COMMUNITY TOKEN LAUNCHING IN Q2! We’re thrilled to announce the upcoming launch of the Capybara Community Token in Q2 to reward our ecosystem with an exciting airdrop! 🎉 —- 📢 More details on the claiming process will be revealed TOMORROW, April 2! Be sure to check back to learn how to claim your identity
0:11

🚨 BIG EVENT ANNOUNCEMENT! 🚨 The Snapshot was officially taken at 11:59 PM UTC on March 31st, and we’re now processing the data. A huge thank you to everyone who stayed active, fed their Capybaras, and contributed to this incredible journey! ❤️ But trust us—the best is yet to come! ⸻ 🎉 THE BIG EVENT REVEALED! We’ve been searching for a way to reward our community in a massive way… far beyond the typical $5 airdrops from other SocialFi projects. And we’ve found the perfect solution! 🚀 $500,000+ in Multi-Chain Identities! We’re excited to announce a major partnership with a Web3 infrastructure company specializing in identity management across modular blockchains. Their Modular Naming Service (MNS) allows users to transform complex wallet addresses into simple, recognizable identities usable across multiple blockchains. By securing your unique username through MNS, you can: • Simplify Transactions: Replace complex wallet addresses with a single, easy-to-remember name across multiple blockchains. • Unify Your Identity: Manage a single, recognizable identity across various platforms, enhancing your presence in the Web3 ecosystem. • Assess Your On-Chain Value: Utilize the AI Identity Score feature to evaluate your on-chain activity. A higher score may increase your eligibility for future airdrops and rewards. Who Gets These Identities? ✅ Player Card NFT Holders: • Each identity is valued between $40 and $1,250. • Distribution is based on your Leaderboard position at the time of the Snapshot, considering Player Card NFT holders after adjusting balances for Money Bag multipliers. ✅ All Capybara Users (even without an NFT): • Every participant who has earned at least 100,000 points qualifies for a $10 identity. ⸻ 🤖 COMING SOON: AI-POWERED TWITTER TOOL! We’re developing an AI Twitter Agent designed to help Capybara players enhance their social media presence and engagement and unlock additional rewards. ⸻ 🔥 CAPYBARA COMMUNITY TOKEN LAUNCHING IN Q2! We’re thrilled to announce the upcoming launch of the Capybara Community Token in Q2 to reward our ecosystem with an exciting airdrop! 🎉 —- 📢 More details on the claiming process will be revealed TOMORROW, April 2! Be sure to check back to learn how to claim your identity

Capybara on Sui

27,276 Aufrufe • vor 1 Jahr

In 2025, the AgentFlayer exploit highlighted a new category of risk in AI systems. It was not a traditional breach involving stolen credentials or broken encryption. Instead, it demonstrated how an autonomous AI agent could be manipulated into executing unintended actions by processing malicious instructions embedded inside content it automatically processes. The incident did not expose a flaw in one specific integration. It revealed a structural weakness in how many modern AI agents are built. Today’s agents are no longer passive language models. They read documents automatically, scan emails, connect to SaaS tools, access cloud storage, and execute actions across multiple systems. To be useful, they are granted meaningful permissions. That capability creates value, but it also expands the attack surface. Most agent environments operate in a trusted, plaintext execution model. Data is encrypted at rest and in transit, but it is typically decrypted during inference so the model can process it. That runtime visibility is where potential risk lies. In a zero-click scenario like AgentFlayer, an attacker can embed hidden instructions inside a document that the AI processes automatically. Because the agent may have access to connected systems such as Google Drive, Slack, or GitHub, it can potentially be influenced to retrieve sensitive information or perform unintended actions. The user does not need to click a malicious link or approve a suspicious request. Therefore, the core issue is that during execution, the system may have access to sensitive data and broad privileges, meaning whoever controls the execution environment ultimately controls access to that data. Now consider a different architectural approach. If a system is designed so that data remains protected during execution, the risk profile changes. On Nesa, privacy is enforced at the execution layer through Equivariant Encryption. Computation can occur on encrypted data, reducing the visibility surface during runtime. Sensitive inputs and models do not need to be exposed in plain text to infrastructure operators for inference to occur. This does not eliminate prompt injection, logic manipulation, or tool misuse. Encryption alone cannot prevent an agent from being instructed to take an unintended action if it has been granted that permission. What it does do is materially reduce confidentiality risk. By limiting access to readable sensitive data during execution and reducing unilateral visibility at the infrastructure layer, the potential blast radius of a successful manipulation attempt is constrained. As AI agents become more autonomous and embedded into enterprise workflows, security must move deeper into architecture. The goal is not to claim invulnerability. It is to reduce trust concentration and contain systemic exposure when failures occur. AgentFlayer was not simply a one-off exploit. It was a reminder that in autonomous systems, execution-layer design determines how risk propagates.
0:11

In 2025, the AgentFlayer exploit highlighted a new category of risk in AI systems. It was not a traditional breach involving stolen credentials or broken encryption. Instead, it demonstrated how an autonomous AI agent could be manipulated into executing unintended actions by processing malicious instructions embedded inside content it automatically processes. The incident did not expose a flaw in one specific integration. It revealed a structural weakness in how many modern AI agents are built. Today’s agents are no longer passive language models. They read documents automatically, scan emails, connect to SaaS tools, access cloud storage, and execute actions across multiple systems. To be useful, they are granted meaningful permissions. That capability creates value, but it also expands the attack surface. Most agent environments operate in a trusted, plaintext execution model. Data is encrypted at rest and in transit, but it is typically decrypted during inference so the model can process it. That runtime visibility is where potential risk lies. In a zero-click scenario like AgentFlayer, an attacker can embed hidden instructions inside a document that the AI processes automatically. Because the agent may have access to connected systems such as Google Drive, Slack, or GitHub, it can potentially be influenced to retrieve sensitive information or perform unintended actions. The user does not need to click a malicious link or approve a suspicious request. Therefore, the core issue is that during execution, the system may have access to sensitive data and broad privileges, meaning whoever controls the execution environment ultimately controls access to that data. Now consider a different architectural approach. If a system is designed so that data remains protected during execution, the risk profile changes. On Nesa, privacy is enforced at the execution layer through Equivariant Encryption. Computation can occur on encrypted data, reducing the visibility surface during runtime. Sensitive inputs and models do not need to be exposed in plain text to infrastructure operators for inference to occur. This does not eliminate prompt injection, logic manipulation, or tool misuse. Encryption alone cannot prevent an agent from being instructed to take an unintended action if it has been granted that permission. What it does do is materially reduce confidentiality risk. By limiting access to readable sensitive data during execution and reducing unilateral visibility at the infrastructure layer, the potential blast radius of a successful manipulation attempt is constrained. As AI agents become more autonomous and embedded into enterprise workflows, security must move deeper into architecture. The goal is not to claim invulnerability. It is to reduce trust concentration and contain systemic exposure when failures occur. AgentFlayer was not simply a one-off exploit. It was a reminder that in autonomous systems, execution-layer design determines how risk propagates.

Nesa

17,038 Aufrufe • vor 6 Monaten

At Open AGI, our CEO Ahmed Rashad shared why trust is the new compute. AI is moving from generating content to making life-or-death decisions — medical diagnoses, autonomous vehicles, military systems. If the training data is wrong, the decisions are wrong. Meanwhile, models are increasingly trained on synthetic outputs, creating feedback loops that degrade quality. Data supply chains are opaque. Adversarial attacks are real. The next AI race won’t be won by bigger models. It will be won by those who control and verify the data layer. Perle Labs is building the sovereign, human-verified, on-chain auditable infrastructure high-stakes AI requires. Trust wins the AI race. Thank you Sentient for having us! No better way to end off our time at ETHDenver 🏔🦬🦄. Until next time 🫡
0:14

At Open AGI, our CEO Ahmed Rashad shared why trust is the new compute. AI is moving from generating content to making life-or-death decisions — medical diagnoses, autonomous vehicles, military systems. If the training data is wrong, the decisions are wrong. Meanwhile, models are increasingly trained on synthetic outputs, creating feedback loops that degrade quality. Data supply chains are opaque. Adversarial attacks are real. The next AI race won’t be won by bigger models. It will be won by those who control and verify the data layer. Perle Labs is building the sovereign, human-verified, on-chain auditable infrastructure high-stakes AI requires. Trust wins the AI race. Thank you Sentient for having us! No better way to end off our time at ETHDenver 🏔🦬🦄. Until next time 🫡

Perle Labs

29,857 Aufrufe • vor 6 Monaten

Super Labs Announces Strategic Ecosystem Partnership with BiHelix | RGB BiHelix is a Bitcoin ecosystem infrastructure built on the RGB protocol and Lightning Network, dedicated to providing a highly scalable application framework for the Bitcoin network. This partnership further strengthens Super Labs’ ecosystem presence in the AI+Web3 sector. BiHelix’s scalability and smart contract capabilities for the Bitcoin ecosystem align closely with AI-powered on-chain execution. Welcome BiHelix to the Super Labs ecosystem! #SuperLabs #BiHelix #Bitcoin #RGB #AI #We
0:10

Super Labs Announces Strategic Ecosystem Partnership with BiHelix | RGB BiHelix is a Bitcoin ecosystem infrastructure built on the RGB protocol and Lightning Network, dedicated to providing a highly scalable application framework for the Bitcoin network. This partnership further strengthens Super Labs’ ecosystem presence in the AI+Web3 sector. BiHelix’s scalability and smart contract capabilities for the Bitcoin ecosystem align closely with AI-powered on-chain execution. Welcome BiHelix to the Super Labs ecosystem! #SuperLabs #BiHelix #Bitcoin #RGB #AI #We

Super Labs

10,903 Aufrufe • vor 5 Monaten

Today, we're excited to announce a partnership with Manta Network (🔱,🔱), the Modular L2 solution that is transforming the landscape of ZK. Nesa is bringing private AI inference to the Manta ecosystem through a specialized collaboration. For the first time, developers on Manta can access Nesa's full library of AI models on-chain, and enjoy lightning fast, end-to-end private AI inference without ever leaving the Manta ecosystem. This means that dapps and protocols can now fuse with AI via smart contract on Manta. This integration is set to redefine the future of decentralized technology with AI. Stay tuned for more updates on how Nesa and Manta Network will be shaping the future of crypto together.
0:14

Today, we're excited to announce a partnership with Manta Network (🔱,🔱), the Modular L2 solution that is transforming the landscape of ZK. Nesa is bringing private AI inference to the Manta ecosystem through a specialized collaboration. For the first time, developers on Manta can access Nesa's full library of AI models on-chain, and enjoy lightning fast, end-to-end private AI inference without ever leaving the Manta ecosystem. This means that dapps and protocols can now fuse with AI via smart contract on Manta. This integration is set to redefine the future of decentralized technology with AI. Stay tuned for more updates on how Nesa and Manta Network will be shaping the future of crypto together.

Nesa

35,224 Aufrufe • vor 2 Jahren

🔍 Who’s Next? A Leader in Web3 Infrastructure Is Joining the AI Validator Network! A powerhouse in blockchain validation & real-world data integration is about to join Vanarchain’s AI Validator Network. 🌍 Bridging on-chain data with AI execution. ⚡ Powering 10,000+ nodes across 80+ chains. 🔐 Optimizing structured AI data for Web3 applications. 👀 Hint: ℹ️🪨
0:19

🔍 Who’s Next? A Leader in Web3 Infrastructure Is Joining the AI Validator Network! A powerhouse in blockchain validation & real-world data integration is about to join Vanarchain’s AI Validator Network. 🌍 Bridging on-chain data with AI execution. ⚡ Powering 10,000+ nodes across 80+ chains. 🔐 Optimizing structured AI data for Web3 applications. 👀 Hint: ℹ️🪨

Vanar

126,387 Aufrufe • vor 1 Jahr

INJECTIVE LAUNCHES INJECTIVE AGENTS WITH VERIFIABLE ON-CHAIN IDENTITY AND AUTOMATIC FEE ROUTING Injective 🥷 has launched Injective Agents, a platform for building autonomous trading agents that live entirely on-chain. Each agent gets a verifiable on-chain identity, automatic fee routing on every trade, and a public track record anyone can audit. Injective says deployment takes five minutes. The launch productizes roughly 18 months of agent infrastructure work at Injective. The chain released its iAgent SDK in November 2024, a Model Context Protocol server for AI-driven perpetual futures trading in February 2026, and an open-source AI Developer Toolkit in March. Injective Agents packages that stack into a consumer-facing product with revenue capture built in for agent operators. The move lands as on-chain agent volume accelerates across Base, Solana, and now Injective. Coinbase launched Agentic Wallets earlier this year.
0:14

INJECTIVE LAUNCHES INJECTIVE AGENTS WITH VERIFIABLE ON-CHAIN IDENTITY AND AUTOMATIC FEE ROUTING Injective 🥷 has launched Injective Agents, a platform for building autonomous trading agents that live entirely on-chain. Each agent gets a verifiable on-chain identity, automatic fee routing on every trade, and a public track record anyone can audit. Injective says deployment takes five minutes. The launch productizes roughly 18 months of agent infrastructure work at Injective. The chain released its iAgent SDK in November 2024, a Model Context Protocol server for AI-driven perpetual futures trading in February 2026, and an open-source AI Developer Toolkit in March. Injective Agents packages that stack into a consumer-facing product with revenue capture built in for agent operators. The move lands as on-chain agent volume accelerates across Base, Solana, and now Injective. Coinbase launched Agentic Wallets earlier this year.

BSCN

17,042 Aufrufe • vor 4 Monaten

Excited to announce that Laika AI has received a grant from Perplexity as part of their AI startup grant program! This recognition validates our mission to build the most comprehensive on-chain data layer for AI and reinforces our commitment to revolutionizing Web3 analytics. Grateful for the support!
0:12

Excited to announce that Laika AI has received a grant from Perplexity as part of their AI startup grant program! This recognition validates our mission to build the most comprehensive on-chain data layer for AI and reinforces our commitment to revolutionizing Web3 analytics. Grateful for the support!

Laika AI

28,998 Aufrufe • vor 1 Jahr

AI video is here and it's powerful. But it can be tricky to get the exact video you want. We've made it easier by adding video models to the Replicate playground. You can prompt for videos directly, or generate images and then animate them. Read more on on our blog. Link below
0:12

AI video is here and it's powerful. But it can be tricky to get the exact video you want. We've made it easier by adding video models to the Replicate playground. You can prompt for videos directly, or generate images and then animate them. Read more on on our blog. Link below

Replicate

29,168 Aufrufe • vor 1 Jahr