Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Why Camp Mamo? Get access to the first hands-on crash course for building on Celestia. You’ll learn how to build with full-stack control across the different stacks and tools among the Celestia ecosystem. Sign up now:

celestia_devs's profile picture

Celestia developers

1,811 subscribers

11,163 görüntüleme • 1 yıl önce •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

Rollups, data availability, and what's cooking in the Celestia 🦣 ecosystem: this is a deep dive you won't want to miss 🦣 Our DevRel engineer Uttam sat down with Viet 🦣 from Celestia to unpack scaling solutions, LazyBridging Protocol, and CLOBs on BLOBs 👀 0:00 Intro 2:18 How Celestia helps rollups scale 8:38 LazyBridging Protocol (Alt-DA interop) 13:37 CLOBs on BLOBs 16:55 What's next for Celestia? 20:49 How to get involved in the Celestia ecosystem
23:29

Rollups, data availability, and what's cooking in the Celestia 🦣 ecosystem: this is a deep dive you won't want to miss 🦣 Our DevRel engineer Uttam sat down with Viet 🦣 from Celestia to unpack scaling solutions, LazyBridging Protocol, and CLOBs on BLOBs 👀 0:00 Intro 2:18 How Celestia helps rollups scale 8:38 LazyBridging Protocol (Alt-DA interop) 13:37 CLOBs on BLOBs 16:55 What's next for Celestia? 20:49 How to get involved in the Celestia ecosystem

Alchemy

14,688 görüntüleme • 1 yıl önce

Welcome to the Infinite Space Bazaar ☄️ Get ready for the first global online Celestia hackathon, from April 2 to May 17, with $100k+ in prizes. 🏁 Register now:
1:02

Welcome to the Infinite Space Bazaar ☄️ Get ready for the first global online Celestia hackathon, from April 2 to May 17, with $100k+ in prizes. 🏁 Register now:

Celestia

506,301 görüntüleme • 2 yıl önce

📹 DIA x Celestia: 2024 in Review From ideation to execution, we are excited to spotlight Celestia again as a key infra component of the Lumina stack Celestia powers Lumina with on-chain data storage, offering predictable costs, scalability, and customizability
1:48

📹 DIA x Celestia: 2024 in Review From ideation to execution, we are excited to spotlight Celestia again as a key infra component of the Lumina stack Celestia powers Lumina with on-chain data storage, offering predictable costs, scalability, and customizability

DIA Oracles

13,100 görüntüleme • 1 yıl önce

🔗 New LangChain Academy Course: Introduction to LangChain (Python) 🔗 Learn how to build with LangChain – our open source framework that makes it easy to start building agents with any model provider. In this course, you’ll create agents that can reason, use tools, and take action, and learn how to debug their behavior with LangSmith. Along the way, you’ll: - Build an agent with the `create_agent` abstraction - Use LangChain’s core building blocks: Models, Messages, Memory, and Tools - Customize your agent with middleware - Debug your agent with LangSmith Observability & Studio By the end of the course, you’ll have assembled a full team of personal assistants. Enroll for free ➡️
2:25

🔗 New LangChain Academy Course: Introduction to LangChain (Python) 🔗 Learn how to build with LangChain – our open source framework that makes it easy to start building agents with any model provider. In this course, you’ll create agents that can reason, use tools, and take action, and learn how to debug their behavior with LangSmith. Along the way, you’ll: - Build an agent with the `create_agent` abstraction - Use LangChain’s core building blocks: Models, Messages, Memory, and Tools - Customize your agent with middleware - Debug your agent with LangSmith Observability & Studio By the end of the course, you’ll have assembled a full team of personal assistants. Enroll for free ➡️

LangChain

41,016 görüntüleme • 7 ay önce

❤️ Introducing Raspberry Celestia's first public testnet built On 🟠 Gelato RaaS Celestia helps to reduce the DA cost by up to 99% vs. Ethereum. With Raspberry, you can finally test it out. Gelato/Celestia Raspberry is the first public good Celestia testnet with all the necessary infrastructure for developers to build whatever → Production-ready implementation of Celestia Modular DA → All of the necessary infra to build whatever → No real-world value at risk Raspberry is FREE FOR EVERYONE. Raspberry is a public good initiative by Gelato and 10+ partners to accelerate the modular expansion by lowering the barriers for developers to build and test whatever in a production-ready environment. Like Sepolia to Ethereum, Raspberry is the playground to build whatever on Celestia. → Framework: OP Stack → DA Layer: Celestia → Settlement Layer: Sepolia → Cost per transaction: $ 0.002 → Throughput: ~2000–4000 tps Raspberry is MADE FOR BUILDERS. Raspberry includes all Gelaton Web3 Services and all essential 3rd party tooling & infrastructure. Gelato Web3 Services: → Functions - smart contract automation → Relay - gasless transaction → VRF - verifiable onchain randomness → Bridge UI - bridge testnet Eth 8+ natively integrated tooling & infra: → Goldsky ☀️ - read, edit, and sync fresh chain data → dRPC // AI-powered RPC Infrastructure - access reliable & globally distributed nodes → @blockscoutcom - access essential on-chain data → thirdweb - onboard anyone with flexible sign-in options → ZeroDev - create smart wallets for your users → Safe.eth - use the most secure smart wallet infrastructure → DIA Oracles - source data from on and off-chain platforms → Tenderly - build, test, monitor, and operate smart contracts Start building on 🟠 Raspberry testnet today ↓ Hack on Raspberry at CelestiaOrg's #1st global online Hackathon with $100k+ prize pool ↓ Build whatever
0:41

❤️ Introducing Raspberry Celestia's first public testnet built On 🟠 Gelato RaaS Celestia helps to reduce the DA cost by up to 99% vs. Ethereum. With Raspberry, you can finally test it out. Gelato/Celestia Raspberry is the first public good Celestia testnet with all the necessary infrastructure for developers to build whatever → Production-ready implementation of Celestia Modular DA → All of the necessary infra to build whatever → No real-world value at risk Raspberry is FREE FOR EVERYONE. Raspberry is a public good initiative by Gelato and 10+ partners to accelerate the modular expansion by lowering the barriers for developers to build and test whatever in a production-ready environment. Like Sepolia to Ethereum, Raspberry is the playground to build whatever on Celestia. → Framework: OP Stack → DA Layer: Celestia → Settlement Layer: Sepolia → Cost per transaction: $ 0.002 → Throughput: ~2000–4000 tps Raspberry is MADE FOR BUILDERS. Raspberry includes all Gelaton Web3 Services and all essential 3rd party tooling & infrastructure. Gelato Web3 Services: → Functions - smart contract automation → Relay - gasless transaction → VRF - verifiable onchain randomness → Bridge UI - bridge testnet Eth 8+ natively integrated tooling & infra: → Goldsky ☀️ - read, edit, and sync fresh chain data → dRPC // AI-powered RPC Infrastructure - access reliable & globally distributed nodes → @blockscoutcom - access essential on-chain data → thirdweb - onboard anyone with flexible sign-in options → ZeroDev - create smart wallets for your users → Safe.eth - use the most secure smart wallet infrastructure → DIA Oracles - source data from on and off-chain platforms → Tenderly - build, test, monitor, and operate smart contracts Start building on 🟠 Raspberry testnet today ↓ Hack on Raspberry at CelestiaOrg's #1st global online Hackathon with $100k+ prize pool ↓ Build whatever

Gelato

50,566 görüntüleme • 2 yıl önce

LIVE NOW - Celestia Interoperability | Nick White & Preston Evans In this episode, we're diving deep into Celestia's vision for cross-chain interoperability with Nick White (COO Celestia 🦣) and Preston Evans (CTO Sovereign). We unpack the foundations of modular blockchains, how shared DA and consensus unlock secure interop between rollups, the concept of "lazy bridging," and why Celestia might just be building the internet of blockchains. If you're trying to grok the future of rollup composability—this is the one. -------------- TIMESTAMPS 0:00 Intro 8:52 Core Blocks of an Interop Ecosystem 13:55 Understanding of Celestia 19:13 Differentiating Ethereum and Celestia 28:13 Emergence of Celestia Ecosystem 37:12 Inventory Risks and Zk Proofing 40:38 Fast Finality and Minimizing Bridges 54:49 Problems with Ethereum 59:40 Beyond Ethereum 01:09:15 Future of Celestia 01:11:05 Closing & Disclaimers
1:12:36

LIVE NOW - Celestia Interoperability | Nick White & Preston Evans In this episode, we're diving deep into Celestia's vision for cross-chain interoperability with Nick White (COO Celestia 🦣) and Preston Evans (CTO Sovereign). We unpack the foundations of modular blockchains, how shared DA and consensus unlock secure interop between rollups, the concept of "lazy bridging," and why Celestia might just be building the internet of blockchains. If you're trying to grok the future of rollup composability—this is the one. -------------- TIMESTAMPS 0:00 Intro 8:52 Core Blocks of an Interop Ecosystem 13:55 Understanding of Celestia 19:13 Differentiating Ethereum and Celestia 28:13 Emergence of Celestia Ecosystem 37:12 Inventory Risks and Zk Proofing 40:38 Fast Finality and Minimizing Bridges 54:49 Problems with Ethereum 59:40 Beyond Ethereum 01:09:15 Future of Celestia 01:11:05 Closing & Disclaimers

Bankless

42,194 görüntüleme • 1 yıl önce

1/ I’ve known Nick White for nearly 6 years. We met while building Harmony Protocol, he was a cofounder, I led growth. Nick is a genuine builder who cares about pushing crypto forward. We caught up on the pod to talk Celestia 🦣: what it is, why it matters, where it’s going. Summary Peter Abilla interviews Nick White, VP at Celestia Labs, to unpack how Celestia is solving the blockchain scalability problem. They explore the breakthrough of data availability sampling, the shift from monolithic to modular blockchains, and how Celestia fits into the broader Ethereum ecosystem. Nick shares insights on trade-offs in modular design, product market fit, cost advantages, and what’s next for ZKVMs and modular infra. Takeaways • Celestia is redefining how blockchains handle data availability • Blockchain scalability remains a major challenge • Data availability sampling (DAS) is a core innovation • Modular blockchains offer flexibility and specialization • Trade-offs exist between modular and monolithic designs • “Cathedral vs. Bazaar” analogy captures the decentralization shift • Celestia works alongside Ethereum, not against it • Product market fit depends on developer traction and real-world use • Celestia reduces costs and improves reliability • ZKVMs are key to the future of modular blockchain development Timeline (00:00) Introduction to Celestia and its vision (01:00) The scalability challenge in blockchain (06:04) How data availability sampling works (10:10) Comparing monolithic and modular blockchains (14:39) Trade-offs of modular blockchain design (18:21) The Cathedral and Bazaar analogy (22:41) How Celestia fits into the blockchain ecosystem (24:49) What makes Celestia’s architecture unique (26:08) Defining product market fit for Celestia (31:05) Cost savings and performance benefits (35:48) Distribution and growth strategy (40:13) ZKVMs and the modular future (44:36) What’s coming next for Celestia -------- Episode is brought to you by Infinex. Experience crypto designed for humans:
51:30

1/ I’ve known Nick White for nearly 6 years. We met while building Harmony Protocol, he was a cofounder, I led growth. Nick is a genuine builder who cares about pushing crypto forward. We caught up on the pod to talk Celestia 🦣: what it is, why it matters, where it’s going. Summary Peter Abilla interviews Nick White, VP at Celestia Labs, to unpack how Celestia is solving the blockchain scalability problem. They explore the breakthrough of data availability sampling, the shift from monolithic to modular blockchains, and how Celestia fits into the broader Ethereum ecosystem. Nick shares insights on trade-offs in modular design, product market fit, cost advantages, and what’s next for ZKVMs and modular infra. Takeaways • Celestia is redefining how blockchains handle data availability • Blockchain scalability remains a major challenge • Data availability sampling (DAS) is a core innovation • Modular blockchains offer flexibility and specialization • Trade-offs exist between modular and monolithic designs • “Cathedral vs. Bazaar” analogy captures the decentralization shift • Celestia works alongside Ethereum, not against it • Product market fit depends on developer traction and real-world use • Celestia reduces costs and improves reliability • ZKVMs are key to the future of modular blockchain development Timeline (00:00) Introduction to Celestia and its vision (01:00) The scalability challenge in blockchain (06:04) How data availability sampling works (10:10) Comparing monolithic and modular blockchains (14:39) Trade-offs of modular blockchain design (18:21) The Cathedral and Bazaar analogy (22:41) How Celestia fits into the blockchain ecosystem (24:49) What makes Celestia’s architecture unique (26:08) Defining product market fit for Celestia (31:05) Cost savings and performance benefits (35:48) Distribution and growth strategy (40:13) ZKVMs and the modular future (44:36) What’s coming next for Celestia -------- Episode is brought to you by Infinex. Experience crypto designed for humans:

papiofficial

21,097 görüntüleme • 1 yıl önce

The only trading bot you need to make it this cycle WoodsBot Watch the full video on YouTube showcasing some of our tools and how to gain full access to them. Sign up now:
0:24

The only trading bot you need to make it this cycle WoodsBot Watch the full video on YouTube showcasing some of our tools and how to gain full access to them. Sign up now:

woods.ai

13,989 görüntüleme • 1 yıl önce

Bullet will be upgrading to @Celestia underneath 🦣 CLOBs on blobs belong with the pioneers of Modular Blockchains. With Celestia, Bullet traders can count on seamless scalability. Why is this partnership bull(et)ish? 👇
0:21

Bullet will be upgrading to @Celestia underneath 🦣 CLOBs on blobs belong with the pioneers of Modular Blockchains. With Celestia, Bullet traders can count on seamless scalability. Why is this partnership bull(et)ish? 👇

Bullet

162,537 görüntüleme • 10 ay önce

Workflows are now rolling out across all plans. Learn how to start building the tools that work for you with today's episode of Runway Academy.
2:25

Workflows are now rolling out across all plans. Learn how to start building the tools that work for you with today's episode of Runway Academy.

Runway

32,403 görüntüleme • 9 ay önce

Here it is! Learn how to build real-time games with...Laravel! Watch the first episode right here, then head over to Laracasts for the full course.
8:40

Here it is! Learn how to build real-time games with...Laravel! Watch the first episode right here, then head over to Laracasts for the full course.

Laracasts

28,901 görüntüleme • 2 yıl önce

Curious to know #Celestia's roadmap and how #MantaPacific will play a vital role in it? 🤩 Listen to our co-founder, 🤓Kenny, and Mustafa Al-Bassam, co-founder of Celestia. The future is modular on #MantaNetwork with Celestia underneath 🧱
0:44

Curious to know #Celestia's roadmap and how #MantaPacific will play a vital role in it? 🤩 Listen to our co-founder, 🤓Kenny, and Mustafa Al-Bassam, co-founder of Celestia. The future is modular on #MantaNetwork with Celestia underneath 🧱

Manta Network (🔱,🔱)

61,207 görüntüleme • 2 yıl önce

Introducing the context course: a free course on doing ML with agent context. You will learn how to train models, optimize inferences, and build datasets, all by defining harness context with`SKILLS.md`, Plugins, MCP, Subagents, and Hooks. The course includes: - Weekly live AMA on YouTube - Weekly practical projects for ML with context - Instructions in Pi, Codex, Claude, and Opencode - Tutorials and guides on fundamentals - Interactive Quizzes Learn to give AI agents the right knowledge, tools, and structure to actually get work done. Skills, MCP servers, plugins, multi-agent workflows, and building an agent from scratch. Join here:
0:30

Introducing the context course: a free course on doing ML with agent context. You will learn how to train models, optimize inferences, and build datasets, all by defining harness context with`SKILLS.md`, Plugins, MCP, Subagents, and Hooks. The course includes: - Weekly live AMA on YouTube - Weekly practical projects for ML with context - Instructions in Pi, Codex, Claude, and Opencode - Tutorials and guides on fundamentals - Interactive Quizzes Learn to give AI agents the right knowledge, tools, and structure to actually get work done. Skills, MCP servers, plugins, multi-agent workflows, and building an agent from scratch. Join here:

Ben Burtenshaw

16,905 görüntüleme • 3 ay önce

"Introducing Multimodal Llama 3.2": As promised two weeks ago, here's the short course on Meta's latest open model! This short course is created with Meta and taught by Amit Sangani, Director of AI Partner Engineering at Meta. Meta’s Llama family of models is leading the way in open models, allowing anyone to download, customize, fine-tune, or build new applications on top of them. Learn about the vision capabilities of the Llama 3.2, and use it for image classification, prompting, tokenization, tool-calling. You'll also learn about the open-source Llama stack, which gives building blocks for many different stages of the LLM application life cycle. In detail, you’ll: - Learn what are the features of Meta's four newest models, and when to use which Llama model. - Learn best practices for multimodal prompting, with applications to advanced image reasoning, illustrated by many examples: Understanding errors on a car dashboard, adding up the total of photographed restaurant receipts, grading written math homework. - Use different roles—system, user, assistant, ipython—in the Llama 3.1 and 3.2 models and the prompt format that identifies those roles. - Understand how Llama uses the tiktoken tokenizer, and how it has expanded to a 128k vocabulary size that improves encoding efficiency and multilingual support. - Learn how to prompt Llama to call built-in and custom tools (functions) with examples for web search and solving math equations. - Learn about Llama Stack, a standardized interface for common toolchain components like fine-tuning or synthetic data generation, useful for building agentic applications. By the end of this course, you’ll be equipped to build out new applications with the new Llama 3.2. Thank you to Ahmad Al-Dahle, Amit Sangani, and the whole AI at Meta team AI at Meta for all the hard work on Llama 3.2 — we’re excited to make these open models even more accessible to more developers with this new course! Please sign up here!
2:53

"Introducing Multimodal Llama 3.2": As promised two weeks ago, here's the short course on Meta's latest open model! This short course is created with Meta and taught by Amit Sangani, Director of AI Partner Engineering at Meta. Meta’s Llama family of models is leading the way in open models, allowing anyone to download, customize, fine-tune, or build new applications on top of them. Learn about the vision capabilities of the Llama 3.2, and use it for image classification, prompting, tokenization, tool-calling. You'll also learn about the open-source Llama stack, which gives building blocks for many different stages of the LLM application life cycle. In detail, you’ll: - Learn what are the features of Meta's four newest models, and when to use which Llama model. - Learn best practices for multimodal prompting, with applications to advanced image reasoning, illustrated by many examples: Understanding errors on a car dashboard, adding up the total of photographed restaurant receipts, grading written math homework. - Use different roles—system, user, assistant, ipython—in the Llama 3.1 and 3.2 models and the prompt format that identifies those roles. - Understand how Llama uses the tiktoken tokenizer, and how it has expanded to a 128k vocabulary size that improves encoding efficiency and multilingual support. - Learn how to prompt Llama to call built-in and custom tools (functions) with examples for web search and solving math equations. - Learn about Llama Stack, a standardized interface for common toolchain components like fine-tuning or synthetic data generation, useful for building agentic applications. By the end of this course, you’ll be equipped to build out new applications with the new Llama 3.2. Thank you to Ahmad Al-Dahle, Amit Sangani, and the whole AI at Meta team AI at Meta for all the hard work on Llama 3.2 — we’re excited to make these open models even more accessible to more developers with this new course! Please sign up here!

Andrew Ng

131,767 görüntüleme • 1 yıl önce