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How Things Work #0: ZODA and the Accidental Computer Today, we explore how Data Availability Sampling (DAS) can scale blockchains with Alex Evans and guille from Bain Capital Crypto. Turns out, you can (somehow) embed verifiable computations over data in DA into DA 🪄.

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commonware

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36,002 görüntüleme • 1 yıl önce •via X (Twitter)

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SecBriefs | Making Cybersecurity Simple profil fotoğrafı
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⚠️The average person generates 2.5 quintillion bytes of data annually. That's enough to fill 575,000 libraries!📚 This data is used to track, target, and manipulate you. #Cybersecurity matters.💡 Cybersecurity Dictionary for Everyone is on Apple Books:

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@alexhevans @GuilleAngeris @BainCapCrypto so much good content to watch 🤠

Benzer Videolar

Avail DA Mainnet & the AVAIL token are now live! Today marks the launch of Avail DA, the first modular data availability layer using validity proofs + data availability sampling. Now, build blockchains that truly scale with demand. The AVAIL token powers the network—pay fees, stake to secure, and more. The Unification Layer for Web3 starts with Avail DA. Massive thanks to our community for helping us kickoff a unified web3 saga. 🌐 Blog → 🧵 ↓
1:21

Avail DA Mainnet & the AVAIL token are now live! Today marks the launch of Avail DA, the first modular data availability layer using validity proofs + data availability sampling. Now, build blockchains that truly scale with demand. The AVAIL token powers the network—pay fees, stake to secure, and more. The Unification Layer for Web3 starts with Avail DA. Massive thanks to our community for helping us kickoff a unified web3 saga. 🌐 Blog → 🧵 ↓

Avail

912,004 görüntüleme • 2 yıl önce

Twelve years ago we asked the question: how can we put public data "on wheels"? Datawheel was born from vision that data alone doesn't get far. It needs vehicles to reach hearts and minds. Vehicles that make data easy to find, explore, and understand. Today, Datawheel turns twelve. In these twelve years, we have built dozens of solutions that are helping define the state of the art in public data distribution. Today we celebrate this journey. A journey with a great team and amazing clients. The journey to make public data all it can be. are some of the tools defining all that public data can be. Thank you!!!
1:00

Twelve years ago we asked the question: how can we put public data "on wheels"? Datawheel was born from vision that data alone doesn't get far. It needs vehicles to reach hearts and minds. Vehicles that make data easy to find, explore, and understand. Today, Datawheel turns twelve. In these twelve years, we have built dozens of solutions that are helping define the state of the art in public data distribution. Today we celebrate this journey. A journey with a great team and amazing clients. The journey to make public data all it can be. are some of the tools defining all that public data can be. Thank you!!!

César A. Hidalgo

12,931 görüntüleme • 1 yıl önce

How Things Work #3: Scaling Broadcast with Raptor Codes Today, we explore how Monad uses Raptor Codes to scale broadcast with Kushal Babel and Babak Gilkalaye from Category Labs. Turns out, polynomial commitments are an optional ingredient for effective encoding schemes.
1:31:17

How Things Work #3: Scaling Broadcast with Raptor Codes Today, we explore how Monad uses Raptor Codes to scale broadcast with Kushal Babel and Babak Gilkalaye from Category Labs. Turns out, polynomial commitments are an optional ingredient for effective encoding schemes.

commonware

45,736 görüntüleme • 1 yıl önce

Starting today you can download Multidimensional Economic Complexity data for free at the OEC. Explore how countries compare in trade, tech, and research complexity, or download the data for your own research purposes.
0:31

Starting today you can download Multidimensional Economic Complexity data for free at the OEC. Explore how countries compare in trade, tech, and research complexity, or download the data for your own research purposes.

César A. Hidalgo

38,082 görüntüleme • 3 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

How Things Work #1: Partially Ordered Datasets Today, we chat with from Pod Network about Partially Ordered Datasets and the gadgets they can be used to build. Turns out, it's censorship-resistant auctions all the way down.
1:29:13

How Things Work #1: Partially Ordered Datasets Today, we chat with from Pod Network about Partially Ordered Datasets and the gadgets they can be used to build. Turns out, it's censorship-resistant auctions all the way down.

commonware

22,079 görüntüleme • 1 yıl önce

In the last month, people have been using Copilot Cowork to do amazing things – from building inbox workflows to sales campaigns. And I’m excited to share three big updates to help you accomplish even more: 1) mobile on iOS and Android so you can delegate work from anywhere, 2) skills to help you reuse and scale how work is done and 3) new plugins + connectors to bring your data into the flow of work. I’ve been testing these updates out – here’s a quick demo of how I’ve been using mobile in my daily work.
4:07

In the last month, people have been using Copilot Cowork to do amazing things – from building inbox workflows to sales campaigns. And I’m excited to share three big updates to help you accomplish even more: 1) mobile on iOS and Android so you can delegate work from anywhere, 2) skills to help you reuse and scale how work is done and 3) new plugins + connectors to bring your data into the flow of work. I’ve been testing these updates out – here’s a quick demo of how I’ve been using mobile in my daily work.

Charles Lamanna

145,165 görüntüleme • 3 ay önce

One of the things we wanted to get right with Prophecy is resolution transparency. You can see the exact prompt the AI uses, which data sources it pulls from, and how it reaches consensus. We think this is essential to be able to trust markets and attract larger capital.
1:15

One of the things we wanted to get right with Prophecy is resolution transparency. You can see the exact prompt the AI uses, which data sources it pulls from, and how it reaches consensus. We think this is essential to be able to trust markets and attract larger capital.

paul.somi

17,124 görüntüleme • 2 ay önce

New from the Anthropic Economic Index: the first comprehensive analysis of how AI is used in every US state and country we serve. We've produced a detailed report, and you can explore our data yourself on our new interactive website.
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New from the Anthropic Economic Index: the first comprehensive analysis of how AI is used in every US state and country we serve. We've produced a detailed report, and you can explore our data yourself on our new interactive website.

Anthropic

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At S(e)oulish Mamo today, our CBO & Co-Founder Michael Ho highlighted how domains are becoming liquid, DeFi-ready assets on Doma Protocol, with Celestia powering the data availability layer behind 💧🦣 Joined by Chris Yin from Plume and Yuan Han Li from , the session brought together great perspectives on how RWAs can scale in Web3. 🌐 Breaking down the insights 👇🏻
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At S(e)oulish Mamo today, our CBO & Co-Founder Michael Ho highlighted how domains are becoming liquid, DeFi-ready assets on Doma Protocol, with Celestia powering the data availability layer behind 💧🦣 Joined by Chris Yin from Plume and Yuan Han Li from , the session brought together great perspectives on how RWAs can scale in Web3. 🌐 Breaking down the insights 👇🏻

D3

39,187 görüntüleme • 10 ay önce

Today Google DeepMind released a state of the art computer use model, in partnership with Browserbase. Computer use is hard to evaluate. You need reliable browser infrastructure and realistic tasks. Below, we cover how we ran these benchmarks and how you can try yourself!
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Today Google DeepMind released a state of the art computer use model, in partnership with Browserbase. Computer use is hard to evaluate. You need reliable browser infrastructure and realistic tasks. Below, we cover how we ran these benchmarks and how you can try yourself!

Browserbase

154,785 görüntüleme • 10 ay önce

Over the last few months, we’ve been thinking about how to learn from “off-domain” data - data from non-robot sources like video or simulation. These data sources are not quite good enough to learn policies (even monolithic VLA models) directly, but they still contain lots of information that can be useful for generalizable robot control. How can we develop robot learning models that are able to make use of this type of data for generalizable control? In new work, that we call HAMSTER, we show that VLMs can be useful for enabling robotic learning from off-domain data, but specifically when used through hierarchical VLA architectures. We show that this class of models can learn generalizable robot policies for the real world from large-scale, off-domain data. A 🧵 (1/10)
1:00

Over the last few months, we’ve been thinking about how to learn from “off-domain” data - data from non-robot sources like video or simulation. These data sources are not quite good enough to learn policies (even monolithic VLA models) directly, but they still contain lots of information that can be useful for generalizable robot control. How can we develop robot learning models that are able to make use of this type of data for generalizable control? In new work, that we call HAMSTER, we show that VLMs can be useful for enabling robotic learning from off-domain data, but specifically when used through hierarchical VLA architectures. We show that this class of models can learn generalizable robot policies for the real world from large-scale, off-domain data. A 🧵 (1/10)

Abhishek Gupta

11,994 görüntüleme • 1 yıl önce

Global NDVI calculated on-the-fly from Sentinel-2 imagery (10m resolution) from Microsoft's Planetary Computer, streamed into R and mapped with mapgl. Discovered this workflow today. You can also download the data directly into R for your own analysis for free, and you don't have to go through the authentication dance that Earth Engine requires. I'll share more about how to do this soon.
1:21

Global NDVI calculated on-the-fly from Sentinel-2 imagery (10m resolution) from Microsoft's Planetary Computer, streamed into R and mapped with mapgl. Discovered this workflow today. You can also download the data directly into R for your own analysis for free, and you don't have to go through the authentication dance that Earth Engine requires. I'll share more about how to do this soon.

Kyle Walker

17,179 görüntüleme • 10 gün önce

This April AMA is here. In this session, the team breaks down how biodata (like sleep and brain data) can be standardized, valued, and turned into real-world assets (RWA). What you’ll learn: 1. The 4 key milestones for Biodata RWA in 2026 2. Why sleep data is the first step in building a data economy 3. How data becomes structured, scored, and monetizable 4. The role of MAN token in rewarding and settling data usage 5. How privacy is protected with distributed storage & computation 6. Ownership models: sell vs license your data 7. Why institutions (AI, pharma, insurance) need verified biodata In the future, your data won’t just exist, it will work for you.
35:10

This April AMA is here. In this session, the team breaks down how biodata (like sleep and brain data) can be standardized, valued, and turned into real-world assets (RWA). What you’ll learn: 1. The 4 key milestones for Biodata RWA in 2026 2. Why sleep data is the first step in building a data economy 3. How data becomes structured, scored, and monetizable 4. The role of MAN token in rewarding and settling data usage 5. How privacy is protected with distributed storage & computation 6. Ownership models: sell vs license your data 7. Why institutions (AI, pharma, insurance) need verified biodata In the future, your data won’t just exist, it will work for you.

Matrix AI Network

15,296 görüntüleme • 3 ay önce

Do you know what a multi-signature wallet is? 🤔 In this video, we explore the basics of multi-signature wallets: how they work, their benefits and drawbacks, and how they can enhance the security of your crypto assets. Watch the full video:
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Do you know what a multi-signature wallet is? 🤔 In this video, we explore the basics of multi-signature wallets: how they work, their benefits and drawbacks, and how they can enhance the security of your crypto assets. Watch the full video:

CoinGecko

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WATCH as Governor Alex Otti Clashes with Journalist Over “Measurable Impact” at February Media Chat with Abia people. The journalist; “Your administration has received praise for visible infrastructure projects and reforms, but critics say that measurable impact, transparency and inclusive governance need improvement.” “Can you provide verifiable data showing how your policies have directly improved the economic and living conditions of ordinary Abians beyond infrastructural development?” Alex otti;....
5:07

WATCH as Governor Alex Otti Clashes with Journalist Over “Measurable Impact” at February Media Chat with Abia people. The journalist; “Your administration has received praise for visible infrastructure projects and reforms, but critics say that measurable impact, transparency and inclusive governance need improvement.” “Can you provide verifiable data showing how your policies have directly improved the economic and living conditions of ordinary Abians beyond infrastructural development?” Alex otti;....

CHUKS 🍥

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🚨 JUST IN: Florida Gov. Ron DeSantis has just BANNED AI data centers from using up all the water needed by citizens during a drought And the law BANS utility companies from charging higher prices because of data centers "How are you going to say that somehow the water can go to a data center when we need to water for our own people and for the core functions of our society?"
3:10

🚨 JUST IN: Florida Gov. Ron DeSantis has just BANNED AI data centers from using up all the water needed by citizens during a drought And the law BANS utility companies from charging higher prices because of data centers "How are you going to say that somehow the water can go to a data center when we need to water for our own people and for the core functions of our society?"

Eric Daugherty

568,852 görüntüleme • 3 ay önce

Introducing /agent by Firecrawl 🪄 Just describe what you need - with or without a URL then /agent searches, navigates, and gathers information from the widest range of websites, reaching data no other API can. Try out the research preview today.
0:50

Introducing /agent by Firecrawl 🪄 Just describe what you need - with or without a URL then /agent searches, navigates, and gathers information from the widest range of websites, reaching data no other API can. Try out the research preview today.

Firecrawl

613,166 görüntüleme • 7 ay önce

Shipped the first version of the SDK 1.5 months ago to enable embedded identity onboarding and verifications via ZKP Users directly onboarded via apps, data stored on Moca Chain, verifiable on-chain with full data sovereignty to users Data from 1 app can finally be interoperable and verifiable across many other apps without exposing the raw data - meaning the ecosystem of apps will truly foster without any concerns on exposing proprietary data - e.g. a personal loan platform can offer lower interest based on your loyalty status with another company, a reward app can offer fast track to status based on how much you've spent on amazon Next version in September. Keep shipping. Stay focused.
0:40

Shipped the first version of the SDK 1.5 months ago to enable embedded identity onboarding and verifications via ZKP Users directly onboarded via apps, data stored on Moca Chain, verifiable on-chain with full data sovereignty to users Data from 1 app can finally be interoperable and verifiable across many other apps without exposing the raw data - meaning the ecosystem of apps will truly foster without any concerns on exposing proprietary data - e.g. a personal loan platform can offer lower interest based on your loyalty status with another company, a reward app can offer fast track to status based on how much you've spent on amazon Next version in September. Keep shipping. Stay focused.

Tyler Durden | ⦿⦿⦿

15,617 görüntüleme • 11 ay önce