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#cassie flat out spamming a #swappool Single shard 64 node network to obtain a baseline for sharded tests. Nodes are the usual 4 core / 8GB / SATA SSD VMs I use for tests. Execution is single thread. Achieves ~650 swaps per second😎 #radix $xrd #defi #crypto

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Dan Hughes | Radix

201,787 subscribers

55,026 просмотров • 2 лет назад •via X (Twitter)

Наука и технологииИгрыФинансы#cassie#swappool#radix#defi#crypto
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Комментарии: 10

Фото профиля jonas.xrd
jonas.xrd2 лет назад

So hyped for the upcoming test 🔥

Фото профиля Well | Wlupercinio.eth
Well | Wlupercinio.eth2 лет назад

better than netflix #XRD 🚀

Фото профиля grecco.xrd
grecco.xrd2 лет назад

This is abolutely MASSIVE GO $XRD @radixdlt

Фото профиля Marcio Bezerra
Marcio Bezerra2 лет назад

@castacrypto are you following?

Фото профиля CheerUpHumanity
CheerUpHumanity2 лет назад

History in the making...

Фото профиля Maddy
Maddy2 лет назад

Good but what's the outcome??? If there is no rewards then of no use investing.. foucs on getting $xrd listed on major exchange and get the price to move

Фото профиля RadixRyder.xrd
RadixRyder.xrd2 лет назад

Get ‘em @fuserleer !

Фото профиля FOTON
FOTON2 лет назад

Unlimited powerrrr... 🔥🤯

Фото профиля Vini Barbosa
Vini Barbosa2 лет назад

That's really impressive. Thanks for sharing.

Фото профиля woooptydoo.xrd
woooptydoo.xrd2 лет назад

#scroplife

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I think my work testing the swaps & linear scale with #cassie is done for now 😎 Double the validators + 16 shard groups + 16 pools = 9000 swaps per second 🥳 #radix #crypto #blockchain $xrd
0:26

I think my work testing the swaps & linear scale with #cassie is done for now 😎 Double the validators + 16 shard groups + 16 pools = 9000 swaps per second 🥳 #radix #crypto #blockchain $xrd

Dan Hughes | Radix

48,472 просмотров • 2 лет назад

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At its core, iAgent utilizes Protocol Nodes to support and maintain the ecosystem's functionality. This collection of publicly maintained nodes help: ❒ secure the network ❒ determine rewards for GPU workers ❒ earn rewards for their contributions to the network iAgent has 2 types of protocol nodes: 🔘Genesis Nodes 🔘Public Nodes With a 5000-supply, Genesis Nodes are engineered to yield x3 $AGNT tokens generation compared to Public Nodes (which will come at a later date). As a token of gratitude, Genesis Nodes also receive TGE: 2% AGNT tokens from reward pool. Other Genesis Node Utilities & USPs include: Participation and Governance: Genesis node operators have the chance to engage more deeply in decision-making processes through iAgent's governance model. Exclusive Access: Operators of Genesis nodes may receive early access to test new features and products within the iAgent ecosystem. Reward Structure: Nodes earn $AGNT tokens, and Genesis nodes do so at an accelerated rate due to their higher token generation multiplier. Rewards are calculated dynamically, with consideration given to node performance and network contribution. Technical and Community Support: Genesis node operators are expected to receive dedicated support from the iAgent team, ensuring optimal performance and uptime. Requirements to run an iAgent Node: Dual Core, and 8GB RAM, are all that is needed for lightweight processing. Anyone with Genesis/Public Node NFTs can run it. But how do you get yourself one? Hop in the discord to know more:

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We are excited to announce that the latest tests related to the Mazze Devnet have been a resounding success. In this post, we have attached a video demo showcasing the seamless process of running a node on the Mazze Devnet. You will see interactions with both the DAG address and the EVM address, but most importantly, you will witness the impressive speed capabilities of Mazze. In these tests, the chain achieved over 30 BPS (blocks per second), operating with just 2 nodes. Due to the nature of the EVM, each block can include approximately 1,500 simple transfer transactions, resulting in a total capacity exceeding 45,000 TPS (transactions per second). It is important to note that these tests are designed to demonstrate the blockchain's capabilities. Achieving such a high number of blocks per second requires adjustments to mining reward parameters to prevent excessive inflation. Also, the number of blocks generated per second must be tailored to the network's needs. Most importantly, this breakthrough opens new horizons and possibilities. The current structure of the chain, with the EVM layer running above a DAG layer, paves the way for future projects to develop Layer 2 solutions on top of Mazze, benefiting from the exceptional speed of our blockchain. We are confident that this is just the beginning. The results from these tests underscore our commitment to innovation and performance. We believe that Mazze is poised to become a leading platform in the blockchain industry, offering unparalleled speed and scalability. Stay tuned for more updates as we continue to push the boundaries of what is possible with Mazze. Thank you for your continued support. Together, we are building the future of blockchain technology.

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Here is the obvious - pointed out for all of you. 3 camera angles that are in sync on a single cut. 🚨Follow the thread to see the signals 👇 #1. Frank Turek is pretending to FaceTime someone so he can use his blank iPhone screen as a mirror to watch MiniVan Man (behind him).

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Not only is this completely wrong, but it’s negligent and potentially harmful. An isokinetic dynamometer is the gold standard for assessing force production and how quickly you can produce that force, which is vital for reducing the risk of injury. A single leg squat doesn’t come close to reproducing the forces experienced during sport, which is why knee valgus during a single leg squat is NOT a risk factor for injury (Nilstad 2021, Petushek 2021). Many clinicians are using the traditional hop tests less (at least in isolation) because research consistently shows that patients may demonstrate symmetry by compensating or unintentionally performing worse on their uninvolved leg (Wren 2018). And the forward reach is 100% not an appropriate substitute. There’s only so much information that can be put into a 60 second video. Check out these resources to learn more:

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🧵 Thread 1/25: What is Legion Network? 🚀 A cutting-edge Super App combining all your blockchain needs in one place, simplifying the crypto experience by eliminating the clutter of multiple DApps. Super Apps like WeChat have revolutionized Web2 by integrating numerous services into a single platform. As the #1 Crypto Super App, 3 years in the market with over 4.8m downloads and 120k MAU, Legion Network is set to transform the blockchain space similarly. Vision of Legion Network 🌟 To make blockchain technology accessible and straightforward by integrating essential features like DeFi, Trading, GameFi, SocialFi, and Education into one user-friendly platform. Our goal is to onboard the next billion users into Web3, making it easy for newcomers and ensuring that any in-demand service can easily integrate into our ecosystem.

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1) Full end-to-end AI software automation is near. At Nexus, we have the goal of achieving full end-to-end automation of our software production system by end of year. We are experimenting with this via a fast iteration closed-loop self-improving system. I think it's quite interesting, so I want to share publicly as I haven't seen too many engineering teams talk publicly about findings like this yet. In our tests, each autonomous improvement cycle has the following structure: - 1. Pre-planning: High-level architectural goals - 2. Planning: Medium-level planning and spec authoring, including specs for all tests, benchmarks, regression tests, etc. - 3. Execution: Full end-to-end agentic implementation cycle spanning 1-2hrs of autonomous work. This is the bulk of the productive session where the actual code is written, tested, and progressed. - 4. Evaluation: Complete running of tests, benchmarks, telemetry and profiling of the post-execution state system - 5. Retrospective: Thorough retrospective of the end-to-end run, including telemetry of the agent itself, such as cost, tokens used, times context limits were hit, etc. - 6. Self-improvement: Reasoning based on execution metrics and meta-level metrics about the agentic system itself The view below shows a 3D visualization of 29 generations of a self-improving codebase authored by our E2E automation system

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42,531 просмотров • 3 месяцев назад

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I discovered what appears to be a massive bug in Codex. I’ve been running Goal in a single session for over nine days, and the app’s implementation is progressing almost too smoothly. However, during that time, I noticed that the storage space on my MacBook’s 1TB SSD was decreasing dramatically. Since I had originally stored over 200GB of Blackmagic RAW data on it, I assumed that Xcode’s cache or Simulator files were taking up the space. But the cause turned out to be something I never expected. A large number of JSONL files, each about 1.5 GB, are likely being created in the Codex “sessions” folder with every turn. Since the storage usage is increasing gradually, I suspect that the extremely long thread context is being duplicated in its entirety for every turn. Shouldn’t this be an incremental copy? This is a huge problem in this era of skyrocketing SSD prices.

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105,377 просмотров • 1 месяц назад