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Ouroboros "short" Leios Protoyping simulation & visualisation work in progress demonstrated by Duncan Coutts. Full P2P network running Leios Visualisation. You can see 100 different nodes and messages flowing between them all, with representation of Input Blocks (Top left, Endorsement Blocks (20 seconds In these increment), Votes (20 seconds... in these increment as the pipeline hits a vote stage) You can see the votes continue to burst at roughly 20 seconds, input blocks also increase, the smoothness of message flows to reduce these bursts is something Duncan details they are working on to improve as-well as resource usage. Input Blocks (IB) - These blocks contain the raw transaction data submitted by users to the blockchain. Endorsement Blocks (EB) - These blocks reference multiple Input Blocks and are used by nodes to validate and vote on the readiness of transactions for inclusion in the blockchain. Votes- Nodes cast votes to achieve consensus on the state of the ledger, enhancing the speed of transaction finality. I believe this is completely off-chain so does not incur transaction costs (Someone keep me honest please) Keep an eye on the diffusion latency chart, as Duncan mentions this is very important, this refers more to time taken for propagation of information across the network I believe. This was an extract from a larger demonstration, really exciting, massive credit to the team working on this. It's going to be extremely impactful to Cardano and I will share as much as I can about it, I really like seeing these visualisations especially during a prototyping stage. What I find interesting is that the visualisation vote count is so much it slows down the browser rendering. Great work! web3innovationnerds & Duncan Coutts what a demonstration that was., keep them coming!show more

Dave

25,177 subscribers

57,107 görüntüleme • 1 yıl önce •via X (Twitter)

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Dave profil fotoğrafı

Dave1 yıl önce

Really exciting progress @IOHK_Charles

Reown profil fotoğrafı

Reown2 yıl önce

AppKit is the full-stack toolkit to build onchain app UX 🪄 ✅ Social, Email, and Wallet Login ✅ Embedded Wallets ✅ Crypto Swaps ✅ On-ramp Integrate with just 20 lines of code across 10+ languages for all EVM chains and Solana. Onboard millions of users for free today.

Dave profil fotoğrafı

Dave1 yıl önce

Super excited to see parallel processing of transactions and blocks, resulting in higher throughput for Cardano!

Dave profil fotoğrafı

Dave1 yıl önce

This post took me ages, so please share & like :)

Dave profil fotoğrafı

Dave1 yıl önce

Voting consensus offchain really excites me. Look at how bad Solana is architectured from this perspective, most of their blocks are full of voting transactions. To be a validator you need to spend thousands of dollars to vote for consensus, also that's excluding hardware requirement cost to run the validator which is significant. Their blocks contain vote transactions which directly limits their throughput. Leios to the rescue.

Dave profil fotoğrafı

Dave1 yıl önce

A nice graphic here to represent the TX, with a Input Block & Endorsement Block, vote flow.

The Father ⚔️ profil fotoğrafı

The Father ⚔️1 yıl önce

@ItsDave_ADA Watching the Ouroboros 'short' Leios prototyping is like witnessing a digital ballet, where every node pirouettes with purpose and precision. Duncan Coutts must be the choreographer of this blockchain masterpiece, ensuring every message flows seamlessly.

Latin Stake Pools profil fotoğrafı

Latin Stake Pools1 yıl önce

do you know how much RAM is being used?

Dave profil fotoğrafı

Dave1 yıl önce

not yet

Bobs77 - #Bitcoin 🤝 #Cardano 💪 profil fotoğrafı

Bobs77 - #Bitcoin 🤝 #Cardano 💪1 yıl önce

Looks awesome! As a non technical person, is there a current best guess on what this translates to in terms of transaction finality time (both assumed finality and final settlement time), and how about total throughput in tps? You are a legend in this space Dave!

Dave profil fotoğrafı

Dave1 yıl önce

:) appreciate the kind words. No idea as the prototype is a work in progress but the results I am seeing are great. I'm expecting significant throughput increase.

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Startup Archive

326,115 görüntüleme • 9 ay önce

send/receive update There are over 1000 tokens configured with a sprite and set to send and over 500 set to receive on the send/receive network. 8968 editions were minted for free over the claim window and I set the final edition size to a clean 10k. The remaining mints will be used as an onboarding mechanism to introduce on chain interactive and participatory art to new people as I continue on my mission to make what we do around here interesting and compelling to new audiences. Seeing this many people interact with the work has been super meaningful, and I'm excited to keep expanding on the project over time. I particularly enjoyed having my kids log into @Artblocks with an email which generates a Privy embedded wallet and guiding them through the process of purchasing a mint off secondary and configuring it (after I funded the wallet with a bit of ETH). Once they set it up they ran to the living room where we have a receiving token set up and watched and waited until their's appeared. We sit around and watch the live view often pointing out all the fun sprites but when they saw theirs they got REALLY excited and continue to do so as they walk past it and see their contribution every day. I think there's something really interesting about all this. Seeing yourself in a networked artwork like this seems to be compelling to folks, and I am excited to watch the network of sprites grow over time. I'm especially excited about the perpetual nature of the work, and the fact that all of the information and logic is on chain in a way where it should continue to operate as long as the Ethereum blockchain continues to produce blocks. Am also shocked at how cheap the customization of it is. You're storing a lot of info on chain for less than $1. Was always worried about this being on L1 and I know we can't count on this forever but really really pleased with the low cost to participate. If you have a token and haven't set it up yet just know it's super easy and smooth thanks to the Art Blocks UI that the team built. But if you're still intimidated maybe consider commissioning your favorite pixel artist to create a sprite for you. Anyways make sure and check into a live view every now and then to see all the sprites that have been created by the community. Change up your send/receive state or swap out your sprite when you're feeling it. I hope you're enjoying the experience of on chain participatory networked art as much as I am.

send/receive update There are over 1000 tokens configured with a sprite and set to send and over 500 set to receive on the send/receive network. 8968 editions were minted for free over the claim window and I set the final edition size to a clean 10k. The remaining mints will be used as an onboarding mechanism to introduce on chain interactive and participatory art to new people as I continue on my mission to make what we do around here interesting and compelling to new audiences. Seeing this many people interact with the work has been super meaningful, and I'm excited to keep expanding on the project over time. I particularly enjoyed having my kids log into @Artblocks with an email which generates a Privy embedded wallet and guiding them through the process of purchasing a mint off secondary and configuring it (after I funded the wallet with a bit of ETH). Once they set it up they ran to the living room where we have a receiving token set up and watched and waited until their's appeared. We sit around and watch the live view often pointing out all the fun sprites but when they saw theirs they got REALLY excited and continue to do so as they walk past it and see their contribution every day. I think there's something really interesting about all this. Seeing yourself in a networked artwork like this seems to be compelling to folks, and I am excited to watch the network of sprites grow over time. I'm especially excited about the perpetual nature of the work, and the fact that all of the information and logic is on chain in a way where it should continue to operate as long as the Ethereum blockchain continues to produce blocks. Am also shocked at how cheap the customization of it is. You're storing a lot of info on chain for less than $1. Was always worried about this being on L1 and I know we can't count on this forever but really really pleased with the low cost to participate. If you have a token and haven't set it up yet just know it's super easy and smooth thanks to the Art Blocks UI that the team built. But if you're still intimidated maybe consider commissioning your favorite pixel artist to create a sprite for you. Anyways make sure and check into a live view every now and then to see all the sprites that have been created by the community. Change up your send/receive state or swap out your sprite when you're feeling it. I hope you're enjoying the experience of on chain participatory networked art as much as I am.

Erick / Snowfro / 🦩 / LAO / #️⃣ / 🔴

17,186 görüntüleme • 8 ay önce

Let’s see what happened to all these materials after I dipped them into the magical glass-forming liquid. As you can see, the entire surface of the liquid has completely solidified. But I was still able to push the side of the container in, which means that underneath, it is still liquid. So this is not one solid block of glass. Let’s look at them one by one. First, I’m taking out the pencil. Well, no glass layer formed on this one. What you can see on it is simply the dried upper crust of the liquid. To be honest, I expected this, because this isn’t really bare wood—it’s more like wood with a plastic coating. Next is the geopolymer. The result is exactly the same. This one surprised me, because this was actually the material I was most confident would develop a deposit. But apparently not. Next comes the granite. And by now, it’s pretty easy to see that the result is the same again: nothing deposited on it. The next object is the spoon. I had absolutely no expectations for this one, and absolutely nothing is exactly what happened. There’s only the dried upper crust stuck to it, and the rest will probably just run off. But what about the egg?! A few days ago, it looked as though the egg was going to be the champion, with a massive layer of glass apparently forming on it. Well, I have some bad news: not at all. And why? I have absolutely no idea. And finally, just quickly at the end… The piece of limestone suffered exactly the same fate, and so did the peach. So, in reality, the experiment was a spectacular failure. None of these objects developed a glass layer. And in my opinion, this is exactly why it’s not worth publishing the recipe yet. Because, as you can clearly see, this time it simply didn’t work—even though, in theory, I did exactly the same thing as before. So, I wish myself happy experimenting. Once again, I’ve been given a new puzzle that I have to solve. … Meanwhile, in the container right next to it, this happened. And the recipe is exactly the same! Wow! 🤯

Let’s see what happened to all these materials after I dipped them into the magical glass-forming liquid. As you can see, the entire surface of the liquid has completely solidified. But I was still able to push the side of the container in, which means that underneath, it is still liquid. So this is not one solid block of glass. Let’s look at them one by one. First, I’m taking out the pencil. Well, no glass layer formed on this one. What you can see on it is simply the dried upper crust of the liquid. To be honest, I expected this, because this isn’t really bare wood—it’s more like wood with a plastic coating. Next is the geopolymer. The result is exactly the same. This one surprised me, because this was actually the material I was most confident would develop a deposit. But apparently not. Next comes the granite. And by now, it’s pretty easy to see that the result is the same again: nothing deposited on it. The next object is the spoon. I had absolutely no expectations for this one, and absolutely nothing is exactly what happened. There’s only the dried upper crust stuck to it, and the rest will probably just run off. But what about the egg?! A few days ago, it looked as though the egg was going to be the champion, with a massive layer of glass apparently forming on it. Well, I have some bad news: not at all. And why? I have absolutely no idea. And finally, just quickly at the end… The piece of limestone suffered exactly the same fate, and so did the peach. So, in reality, the experiment was a spectacular failure. None of these objects developed a glass layer. And in my opinion, this is exactly why it’s not worth publishing the recipe yet. Because, as you can clearly see, this time it simply didn’t work—even though, in theory, I did exactly the same thing as before. So, I wish myself happy experimenting. Once again, I’ve been given a new puzzle that I have to solve. … Meanwhile, in the container right next to it, this happened. And the recipe is exactly the same! Wow! 🤯

Marcell Fóti 🪨

21,749 görüntüleme • 23 gün önce

Immediately after the Jacob/Anthropic tweet thread went viral, when it was at around 2m impressions, I screen recorded the first subtweeters as the diffusion/ propagation of the visit was obviously sync’d. I was certain, and said so at the time that the tweets were very highly suspect and bs. To do some light forensics, these days, as X cut off a lot of the tools/API I knew I had to catch the data in real time. I have , thru a shop I’m an investor in, the full x firehose, but whatever. Anyhoo, with this stuff it’s called ‘Graph Neural Networks’ = GNN It’s a graph of nodes that operate on graphs where nodes are connected by edges. A. Node (or a vertice) is a a network of users, the subtweeters B. edges are the relationships/interactions between them This is ‘neighborhood aggregation’ What you’re looking for, in the way I simplistically did it sans tools, is to look thru thr assorted influencers and subtweeters and see if their engagement is abnormal / too high And then also look for those accounts use of bots and inauthentic behavior Anyhoo

Immediately after the Jacob/Anthropic tweet thread went viral, when it was at around 2m impressions, I screen recorded the first subtweeters as the diffusion/ propagation of the visit was obviously sync’d. I was certain, and said so at the time that the tweets were very highly suspect and bs. To do some light forensics, these days, as X cut off a lot of the tools/API I knew I had to catch the data in real time. I have , thru a shop I’m an investor in, the full x firehose, but whatever. Anyhoo, with this stuff it’s called ‘Graph Neural Networks’ = GNN It’s a graph of nodes that operate on graphs where nodes are connected by edges. A. Node (or a vertice) is a a network of users, the subtweeters B. edges are the relationships/interactions between them This is ‘neighborhood aggregation’ What you’re looking for, in the way I simplistically did it sans tools, is to look thru thr assorted influencers and subtweeters and see if their engagement is abnormal / too high And then also look for those accounts use of bots and inauthentic behavior Anyhoo

Adam Townsend

204,399 görüntüleme • 14 gün önce

Cardano Scales by Measuring First The Cardano Leios team has released a mempool visualiser, and it is a solid piece of work. As throughput increases, the mempool becomes critical infrastructure. Transaction propagation, ordering behaviour, and fragmentation effects start to matter. This visualiser sits alongside the Leios simulation framework and renders trace data so researchers can replay scenarios, inspect how mempool state evolves across nodes, and study behaviour under different network and protocol conditions. This is about understanding system behaviour before it reaches users. Instrumenting the protocol, observing edge cases early, and using evidence to guide design decisions as Leios progresses toward a high throughput Cardano. This has long been Cardano’s approach. Credit to the Leios team again. Open, inspectable tooling like this is exactly what responsible scaling looks like, and it gives the community real visibility into how the protocol is being developed. I included a demo video for those interested. Visualizer

Cardano Scales by Measuring First The Cardano Leios team has released a mempool visualiser, and it is a solid piece of work. As throughput increases, the mempool becomes critical infrastructure. Transaction propagation, ordering behaviour, and fragmentation effects start to matter. This visualiser sits alongside the Leios simulation framework and renders trace data so researchers can replay scenarios, inspect how mempool state evolves across nodes, and study behaviour under different network and protocol conditions. This is about understanding system behaviour before it reaches users. Instrumenting the protocol, observing edge cases early, and using evidence to guide design decisions as Leios progresses toward a high throughput Cardano. This has long been Cardano’s approach. Credit to the Leios team again. Open, inspectable tooling like this is exactly what responsible scaling looks like, and it gives the community real visibility into how the protocol is being developed. I included a demo video for those interested. Visualizer

Dave

13,295 görüntüleme • 8 ay önce

The value of the work we're doing at Optimum is encapsulated quite well by the phrase "speed is money". In modern markets there are real economic advantages to latency reduction. This is nothing new. Wall Street firms have long been optimizing on latency, primarily through colocation and top of the line hardware. However, when it comes to decentralized systems, expensive hardware and geographic concentration are antithetical to their purpose. Therefore we should optimize decentralized network latency through software, which I'm thrilled about because it's exactly what I've spent the better part of the past 2 decades working on with Random Linear Network Coding. Now let’s talk about networking economics, the relationship between speed and money. First, it's important to note that users will only pay for low latency if it can be consistently guaranteed. Second, you can only make that latency guarantee for a certain number of users. This is a universal law of networking. We can model this relationship on a delay curve, shown below. The delay curve is determined by the utilization rate of the network, meaning how much traffic is flowing through the network divided by the network's throughput. As you approach a level of traffic equal to the available throughput, latency trends infinitely higher. On this delay curve we can impose some utility thresholds. These thresholds are the levels of latency which are important to different groups of users because of how that latency guarantee improves their economic outcomes. Finding the point on the curve where each threshold intersects will tell us what level of traffic we can guarantee that level of latency for. Essentially, there exists a finite supply of speed on a network and the highest utility users of that speed are willing to pay more for it. I like to think of this similarly to expedited shipping options on Amazon. This is why we say speed is money, and why we can create a Latency Marketplace. The only way to increase the supply of speed is to fundamentally increase network throughput. This is what we work on at Optimum by using Random Linear Network Coding. The same relationship between traffic and throughput still applies, but now the delay curve is shifted out further to the right. Now more traffic can be processed at the same latency, or the same traffic can be processed at a lower latency. More speed available to the network. More value unlocked for the network’s users. Crucially, that value is no longer only reserved for those who can afford to sit closest to the machine. Expanding the supply of speed widens who can reach each latency threshold, keeping the network's advantage decentralized rather than concentrated in the hands of a few. When nodes join Optimum and participate, they reap the benefits, but they also add to the capacity. Rather than vying against each other in a zero-sum game, nodes help themselves and others.

The value of the work we're doing at Optimum is encapsulated quite well by the phrase "speed is money". In modern markets there are real economic advantages to latency reduction. This is nothing new. Wall Street firms have long been optimizing on latency, primarily through colocation and top of the line hardware. However, when it comes to decentralized systems, expensive hardware and geographic concentration are antithetical to their purpose. Therefore we should optimize decentralized network latency through software, which I'm thrilled about because it's exactly what I've spent the better part of the past 2 decades working on with Random Linear Network Coding. Now let’s talk about networking economics, the relationship between speed and money. First, it's important to note that users will only pay for low latency if it can be consistently guaranteed. Second, you can only make that latency guarantee for a certain number of users. This is a universal law of networking. We can model this relationship on a delay curve, shown below. The delay curve is determined by the utilization rate of the network, meaning how much traffic is flowing through the network divided by the network's throughput. As you approach a level of traffic equal to the available throughput, latency trends infinitely higher. On this delay curve we can impose some utility thresholds. These thresholds are the levels of latency which are important to different groups of users because of how that latency guarantee improves their economic outcomes. Finding the point on the curve where each threshold intersects will tell us what level of traffic we can guarantee that level of latency for. Essentially, there exists a finite supply of speed on a network and the highest utility users of that speed are willing to pay more for it. I like to think of this similarly to expedited shipping options on Amazon. This is why we say speed is money, and why we can create a Latency Marketplace. The only way to increase the supply of speed is to fundamentally increase network throughput. This is what we work on at Optimum by using Random Linear Network Coding. The same relationship between traffic and throughput still applies, but now the delay curve is shifted out further to the right. Now more traffic can be processed at the same latency, or the same traffic can be processed at a lower latency. More speed available to the network. More value unlocked for the network’s users. Crucially, that value is no longer only reserved for those who can afford to sit closest to the machine. Expanding the supply of speed widens who can reach each latency threshold, keeping the network's advantage decentralized rather than concentrated in the hands of a few. When nodes join Optimum and participate, they reap the benefits, but they also add to the capacity. Rather than vying against each other in a zero-sum game, nodes help themselves and others.

Muriel Medard

45,497 görüntüleme • 2 ay önce