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Latest update with 🐘🔗 sam.arweave.dev covers some critical infrastructure developments: 👉 odysee integrating video data into HyperBEAM for distributed caching 👉 HyperBEAM nodes as decentralized bundlers (finally trustless) 👉 The math behind permanent storage guarantees 'HyperBEAM is an app store' might be the best metaphor yet via Drew

Forward Research

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18,648 Aufrufe • vor 9 Monaten •via X (Twitter)

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AO infrastructure update with 🐘🔗 sam.arweave.dev Where we are: 🟢 HyperBEAM migration well underway 🟢 Massive reduction in legacynet compute 🟢 Performance improvements already live What's next: ➡️ Completing the migration to HyperBEAM ➡️ **Staking is coming** - decentralized scheduler network with node operators ➡️ Significant performance multipliers ahead ➡️ New token distribution mechanisms in development The compute layer is maturing fast. Via Drew

AO infrastructure update with 🐘🔗 sam.arweave.dev Where we are: 🟢 HyperBEAM migration well underway 🟢 Massive reduction in legacynet compute 🟢 Performance improvements already live What's next: ➡️ Completing the migration to HyperBEAM ➡️ Staking is coming - decentralized scheduler network with node operators ➡️ Significant performance multipliers ahead ➡️ New token distribution mechanisms in development The compute layer is maturing fast. Via Drew

ao

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An exclusive inside look at Arweave Day Berlin. Join 🐘🔗 sam.arweave.dev, creator of Arweave Ecosystem & ao, as he reflects on the permaweb's 7-year journey — from the first node in a tiny office to the launch of HyperBEAM Milestone 3. Key insights: getting technology right before scaling, lessons from slow vs fast adoption, and the evolution toward permanent storage infrastructure. 🌐 For builders and everyone creating what lasts. ▶️ Watch the full talk here.

An exclusive inside look at Arweave Day Berlin. Join 🐘🔗 sam.arweave.dev, creator of Arweave Ecosystem & ao, as he reflects on the permaweb's 7-year journey — from the first node in a tiny office to the launch of HyperBEAM Milestone 3. Key insights: getting technology right before scaling, lessons from slow vs fast adoption, and the evolution toward permanent storage infrastructure. 🌐 For builders and everyone creating what lasts. ▶️ Watch the full talk here.

ao

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We are announcing our newest initiative: an interactive math engine by isaacmason. Math is core to everything interactive from geometry to collision to color, yet JavaScript lacks a high-performance kernel. Instead libraries reinvent math structures and transformations, with varying success, and now LLMs generate bespoke functions on a case by case basis. The problem is that there are no principled guarantees for correctness or performance leading to degraded apps or difficult to read code. We need math engine that can be used to power all the cool projects people want to make at scale! The goals of the initiative are ambitious: ⟡ Predictable performance. Allocation-free operations and a documented usage contract designed to preserve monomorphic, optimizable call sites, validated through reproducible benchmarks. ⟡ Portable. Efficiently interoperates with WebGL, WebGPU, Wasm, Three.js, etc., so that the handoff between math kernel and framework is simple. ⟡ Minimal. A lean, tree-shakable kernel containing only the primitives needed to build interactive algorithms. ⟡ Data-oriented. Operates on caller-owned data through data-in, data-out functions without owning the data lifecycle. ⟡ Readability. It is important the core math operations readable such that even if the code is not written by a person they can reasonably review it. isaacmason is bringing his experience building out navcat, crashcat and gpucat. We are starting with mathcat as the foundation and building from there. Stay tuned for more. 👉 Initiative: 👉 Join the convo on Discord:

We are announcing our newest initiative: an interactive math engine by isaacmason. Math is core to everything interactive from geometry to collision to color, yet JavaScript lacks a high-performance kernel. Instead libraries reinvent math structures and transformations, with varying success, and now LLMs generate bespoke functions on a case by case basis. The problem is that there are no principled guarantees for correctness or performance leading to degraded apps or difficult to read code. We need math engine that can be used to power all the cool projects people want to make at scale! The goals of the initiative are ambitious: ⟡ Predictable performance. Allocation-free operations and a documented usage contract designed to preserve monomorphic, optimizable call sites, validated through reproducible benchmarks. ⟡ Portable. Efficiently interoperates with WebGL, WebGPU, Wasm, Three.js, etc., so that the handoff between math kernel and framework is simple. ⟡ Minimal. A lean, tree-shakable kernel containing only the primitives needed to build interactive algorithms. ⟡ Data-oriented. Operates on caller-owned data through data-in, data-out functions without owning the data lifecycle. ⟡ Readability. It is important the core math operations readable such that even if the code is not written by a person they can reasonably review it. isaacmason is bringing his experience building out navcat, crashcat and gpucat. We are starting with mathcat as the foundation and building from there. Stay tuned for more. 👉 Initiative: 👉 Join the convo on Discord:

Poimandres

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🚨 BREAKING: Typeless as a tool is Now HIPAA & GDPR Compliant and giving everyday users total control over our data! Whether you're a professional or an everyday user of Typeless, you can now feel confident in the security and safety of #Typeless, which has successfully met the rigorous high level privacy & safety standards set in both the US and the EU. — HIPAA (Health Insurance Portability and Accountability Act) compliance guarantees that Typeless manages protected health information (PHI) with the utmost privacy and security standards required in the healthcare sector. — The General Data Protection Regulation (GDPR) is a robust data protection law that outlines how organizations should handle the collection, storage, and processing of personal data belonging to EU residents. Typeless' compliance underscores its dedication to safeguarding user privacy and data rights. The 3 Privacy Pillars: 1. Zero cloud data retention 2. Never trained on your data 3. On-device history storage 🔗 To learn more, visit the Typeless Trust Center at 👉 for detailed compliance policies.

🚨 BREAKING: Typeless as a tool is Now HIPAA & GDPR Compliant and giving everyday users total control over our data! Whether you're a professional or an everyday user of Typeless, you can now feel confident in the security and safety of #Typeless, which has successfully met the rigorous high level privacy & safety standards set in both the US and the EU. — HIPAA (Health Insurance Portability and Accountability Act) compliance guarantees that Typeless manages protected health information (PHI) with the utmost privacy and security standards required in the healthcare sector. — The General Data Protection Regulation (GDPR) is a robust data protection law that outlines how organizations should handle the collection, storage, and processing of personal data belonging to EU residents. Typeless' compliance underscores its dedication to safeguarding user privacy and data rights. The 3 Privacy Pillars: 1. Zero cloud data retention 2. Never trained on your data 3. On-device history storage 🔗 To learn more, visit the Typeless Trust Center at 👉 for detailed compliance policies.

Wesley

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🚨 Night Shelter Update From Gary 🚨 Tonight, once again, our night shelter is at full capacity. Gary and the team have had to make the heartbreaking decision to turn people away into the streets people who are cold, vulnerable, and simply looking for safety. This is the reality in Glasgow. A city where the council is SNP controlled. A country led by an SNP Government. Yet frontline services like ours fully volunteer-led, no government or council funding are left to carry the pressure. We are doing everything we can. But we should not be doing this alone. Accountability is needed. Action is needed. And as we approach May 7th, 2026, remember this: 👉 Remember the people left outside tonight 👉 Remember those turned away with nowhere to go 👉 Remember the volunteers stepping in where systems are failing Because the homeless have been continuously left behind. #HomelessnessCrisis #Glasgow #Accountability #NoOneLeftBehind

🚨 Night Shelter Update From Gary 🚨 Tonight, once again, our night shelter is at full capacity. Gary and the team have had to make the heartbreaking decision to turn people away into the streets people who are cold, vulnerable, and simply looking for safety. This is the reality in Glasgow. A city where the council is SNP controlled. A country led by an SNP Government. Yet frontline services like ours fully volunteer-led, no government or council funding are left to carry the pressure. We are doing everything we can. But we should not be doing this alone. Accountability is needed. Action is needed. And as we approach May 7th, 2026, remember this: 👉 Remember the people left outside tonight 👉 Remember those turned away with nowhere to go 👉 Remember the volunteers stepping in where systems are failing Because the homeless have been continuously left behind. #HomelessnessCrisis #Glasgow #Accountability #NoOneLeftBehind

Homeless Project Scotland 💜🏴󠁧󠁢󠁳󠁣󠁴󠁿

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🚀 We just raised $40 million to build infrastructure for Physical AI! 🦾 AI is rapidly transforming critical industries like manufacturing, logistics, transportation, agriculture, construction, aerospace, and defense. Teams that win in the physical world are those who can create a data flywheel, leveraging infrastructure to capture, ingest, analyze, and evaluate the vast quantities of data generated by real-world systems. Robotics data is multimodal, time-synchronized, and bandwidth‑constrained at the edge. Traditional data and observability platforms were only designed to store and query text and time-series data, not petabyte-scale 3D, video, audio, GNSS, and proprioceptive data. The ability to efficiently capture, ingest, search, visualize, and evaluate multimodal data is critical to Physical AI development. Foxglove is a modern data engine for Physical AI, enabling you to record logs or capture demonstrations at the edge, sync recordings to the cloud or on-premises storage, find critical events across petabytes of data, evaluate robot performance, and watch a 3D frame-by-frame replay using our advanced visualization tool. 👉 Today is still Day 1 for Physical AI, and we're hiring for dozens of roles to assemble the best team in the industry. If you've built ML platforms, data infrastructure, dataset curation, evaluation and validation, or visualization tools at a leading robotics or autonomous vehicle company, let's chat – drop me a note or tag a friend below and I'll follow up personally! Thank you to Alexandra Sukin and Jeremy Levine at Bessemer, Seth Winterroth 🤖 at Eclipse, David Beyer and Sunil Dhaliwal at Amplify Partners, and Icehouse Ventures for joining us on this mission. Also a special shoutout to our angels tobi lutke Alex Kendall Kyle Vogt Milan Kovac Hussein Mehanna Pieter Abbeel Brad Porter Boris Sofman Kevin Peterson Chris Walti Lindon Gao Daniel Kan Adam Draper ⏻ Fred Ehrsam and Karri Saarinen!

🚀 We just raised $40 million to build infrastructure for Physical AI! 🦾 AI is rapidly transforming critical industries like manufacturing, logistics, transportation, agriculture, construction, aerospace, and defense. Teams that win in the physical world are those who can create a data flywheel, leveraging infrastructure to capture, ingest, analyze, and evaluate the vast quantities of data generated by real-world systems. Robotics data is multimodal, time-synchronized, and bandwidth‑constrained at the edge. Traditional data and observability platforms were only designed to store and query text and time-series data, not petabyte-scale 3D, video, audio, GNSS, and proprioceptive data. The ability to efficiently capture, ingest, search, visualize, and evaluate multimodal data is critical to Physical AI development. Foxglove is a modern data engine for Physical AI, enabling you to record logs or capture demonstrations at the edge, sync recordings to the cloud or on-premises storage, find critical events across petabytes of data, evaluate robot performance, and watch a 3D frame-by-frame replay using our advanced visualization tool. 👉 Today is still Day 1 for Physical AI, and we're hiring for dozens of roles to assemble the best team in the industry. If you've built ML platforms, data infrastructure, dataset curation, evaluation and validation, or visualization tools at a leading robotics or autonomous vehicle company, let's chat – drop me a note or tag a friend below and I'll follow up personally! Thank you to Alexandra Sukin and Jeremy Levine at Bessemer, Seth Winterroth 🤖 at Eclipse, David Beyer and Sunil Dhaliwal at Amplify Partners, and Icehouse Ventures for joining us on this mission. Also a special shoutout to our angels tobi lutke Alex Kendall Kyle Vogt Milan Kovac Hussein Mehanna Pieter Abbeel Brad Porter Boris Sofman Kevin Peterson Chris Walti Lindon Gao Daniel Kan Adam Draper ⏻ Fred Ehrsam and Karri Saarinen!

Adrian Macneil

46,639 Aufrufe • vor 9 Monaten

🎉 A new era begins! Serenity Shield is now "Serenity" – a rebranding that goes beyond just a new name. It’s a full transformation, a giant leap into STORAGE DOMAIN amongst trusted and innovative companies who all have billions of dollars of market caps.📊 💬Think of secure data storage and privacy solutions, Think of Serenity. 🌐 This isn’t just a name change; it’s a new birth. Serenity is now fully preparing to lead in privacy, security, trust, and innovation, setting new standards in data storage, integrity and protection. Here’s how our redefined suite of products is paving the way: 🔹 sBox – Securely store, manage, and transfer digital files, protect wallet seeds and passwords, and ensure estate planning with our built-in inheritance protocol. 🔹 sAxess – A cutting-edge access card with a mobile app featuring Biometrics technology. 🔹 sVault – Minimize data loss with global redundancy and Points of presence across various continents, with own server infrastructure - avoiding risks of centralized storage. But we're not stopping there⁉️ Coming in our next phase, sChain, sConnect, sWallet, sChange, and many more - defining the full ecosystem of decentralized storage with various products and features . 👍 New names and logo will be changed across the board, soon after this announcement. As Serenity is becoming Seamless, Secure, Smart Solutions for all, we proudly reveal today our new website⬇️ Stay put! Continue the journey with Serenity as we go global!📣 — Serenity Shield Team

SerenitySTech

55,447 Aufrufe • vor 1 Jahr

I built a mobile app to check Paddle revenue (because they don't have one): 👉 - Use your Paddle API key (read-only and scoped) - Live data with beautiful and useful graphs built with native Swift UI. - Multi-account supported, unified revenue metrics. - Data stay on device, no server (api requests are sent directly from your phone) - Home widgets - I made it free to download on App Store (once it's approved) - Buy the source code for $19 and customize it however you want (save 5hrs of prompting if you try to do it yourself). Some interesting facts about this side project: - I vibe coded with 100% claude code remotely on my Mac Mini (with my AI assistant setup) in less than 24 hours. - I have read 0 line of code in this project and never opened Xcode myself. - My AI assistant designed the app with GPT Image 2, built the app with Swift UI, test it on simulator (via screenshots), send the test build to TestFlight for me to test, and invited me to the app store connect account so I can test on my phone, then the AI submitted the app to App Store and currently waiting for approval. - For the website, I ask it to come up with a domain name, I bought it via manually and give it access via Cloudflare API, the AI design and create a static website with GitHub, test it with lighthouse CLI, deploy via GitHub pages, config the domain DNS, deploy the website. - Then I sign up an account with Polar payment, create an API key and ask the AI to setup a store, add payment, link with the account, and add the payment to the website. The entire process happened in the last 24 hours with me only talking to the AI via Telegram. This is such a fun side project not only to create an app that I wish exists, but also to push the limit of what I can use AI for, and so far I'm very impressed. I'll create so much more apps! It feels like I have unlocked a super power.

I built a mobile app to check Paddle revenue (because they don't have one): 👉 - Use your Paddle API key (read-only and scoped) - Live data with beautiful and useful graphs built with native Swift UI. - Multi-account supported, unified revenue metrics. - Data stay on device, no server (api requests are sent directly from your phone) - Home widgets - I made it free to download on App Store (once it's approved) - Buy the source code for $19 and customize it however you want (save 5hrs of prompting if you try to do it yourself). Some interesting facts about this side project: - I vibe coded with 100% claude code remotely on my Mac Mini (with my AI assistant setup) in less than 24 hours. - I have read 0 line of code in this project and never opened Xcode myself. - My AI assistant designed the app with GPT Image 2, built the app with Swift UI, test it on simulator (via screenshots), send the test build to TestFlight for me to test, and invited me to the app store connect account so I can test on my phone, then the AI submitted the app to App Store and currently waiting for approval. - For the website, I ask it to come up with a domain name, I bought it via manually and give it access via Cloudflare API, the AI design and create a static website with GitHub, test it with lighthouse CLI, deploy via GitHub pages, config the domain DNS, deploy the website. - Then I sign up an account with Polar payment, create an API key and ask the AI to setup a store, add payment, link with the account, and add the payment to the website. The entire process happened in the last 24 hours with me only talking to the AI via Telegram. This is such a fun side project not only to create an app that I wish exists, but also to push the limit of what I can use AI for, and so far I'm very impressed. I'll create so much more apps! It feels like I have unlocked a super power.

Tony Dinh

43,922 Aufrufe • vor 3 Monaten

For us this submission marks the end of the MONOLITH Hackathon. Meet SeekerCloud — onchain iCloud for your Seeker ID. iPhone has iCloud. Seeker now has SeekerCloud. A decentralized and permissionless cloud powered by a unique 'Pay once. Store forever.' business model. A blockchain native solution designed for Seeker and the Solana Mobile Stack. All your data is linked to your .skr Seeker ID onchain — meaning no matter what happens you always have access to your data. If you’re going to participate in the Seeker | Solana Mobile Seeker Hackathon the right way to finish it is with a live app published in the Solana dApp Store. So that’s exactly what we did. SeekerCloud is available in the dApp Store. Install it and see that your Seeker ID can do much more. Your .skr is now the key to your fully onchain life. Today it’s available to 150K+ Seeker users. Tomorrow to 2B+ Android users worldwide. The future of Web3 is mobile. The future of mobile is the Solana Mobile Stack. SeekerCloud aims to become the next-gen iCloud for the next-gen smartphones powered by the Solana Mobile Stack. As we all saw at MWC OEMs are on the horizon. Also hoping for support from Arweave Ecosystem and personally 🐘🔗 sam.arweave.dev because of our elegant mobile first implementation of 'Arweave for the rest of us'. Huge thanks to Radiants and personally Middle Maroo and KEMOSABE for this opportunity. Good luck to all participants and patience to the judges: toly 🇺🇸 m-it.skr chase mert mike Akshay.skr Submission pitch video in this tweet. Full demo on a Seeker device will be in the next one.

For us this submission marks the end of the MONOLITH Hackathon. Meet SeekerCloud — onchain iCloud for your Seeker ID. iPhone has iCloud. Seeker now has SeekerCloud. A decentralized and permissionless cloud powered by a unique 'Pay once. Store forever.' business model. A blockchain native solution designed for Seeker and the Solana Mobile Stack. All your data is linked to your .skr Seeker ID onchain — meaning no matter what happens you always have access to your data. If you’re going to participate in the Seeker | Solana Mobile Seeker Hackathon the right way to finish it is with a live app published in the Solana dApp Store. So that’s exactly what we did. SeekerCloud is available in the dApp Store. Install it and see that your Seeker ID can do much more. Your .skr is now the key to your fully onchain life. Today it’s available to 150K+ Seeker users. Tomorrow to 2B+ Android users worldwide. The future of Web3 is mobile. The future of mobile is the Solana Mobile Stack. SeekerCloud aims to become the next-gen iCloud for the next-gen smartphones powered by the Solana Mobile Stack. As we all saw at MWC OEMs are on the horizon. Also hoping for support from Arweave Ecosystem and personally 🐘🔗 sam.arweave.dev because of our elegant mobile first implementation of 'Arweave for the rest of us'. Huge thanks to Radiants and personally Middle Maroo and KEMOSABE for this opportunity. Good luck to all participants and patience to the judges: toly 🇺🇸 m-it.skr chase mert mike Akshay.skr Submission pitch video in this tweet. Full demo on a Seeker device will be in the next one.

Deplay Labs

35,938 Aufrufe • vor 5 Monaten

🌟⏳COMMUNITY TRAIT SUGGESTION COMPETITION⏳🌟 This is YOUR chance to suggest Traits to be incorporated into the Official PORKJET 3D Collection, and WIN a PorkJet with your trait!! Let your imagination run wild! Perhaps your trait is a specific PorkJet shape, type of wing, engine, something quirky like a tail, helmet, attachment, we don't care, we'll consider anything! 🤯 NO artistic skills are required. You may describe your trait in words, make a sketch, have AI design a concept, it doesn't matter as long as we (& the rest of the community) know what you mean! Noting visual traits may do better for voting. IMPORTANT: 👉Submit your entry (or entries) by 2 September 2024. 👉You may submit more than 1 entry, but you must make a separate post for each entry. 👉At the end of the 2 week submission period, the community will be asked to vote for their favourites. 👉The top 25 entries with the highest votes/likes will be reviewed by the PorkJet team, & the 5 Trait winners chosen. 👉10 Spot prizes of 500 ROOT each will also be selected from ALL entries submitted. 👉Whilst the community vote will add significant weight to the Top 5 Trait winners, having the most liked entry does not necessarily guarantee the entry to be one of the winners. 👉An update of the collection reveal will be provided once we have assessed the difficulty/time involved to model the Community trait comp winners. We can't wait to see all your amazing ideas to compliment an already community focused collection! BEST OF LUCK PORKERS!! 🍀🐷✈️🚀 #BuiltOnRoot #Porkjet Futureverse FLUF World The Root Network Walker World ( 🔜👽🥩 ) PORKJET

🌟⏳COMMUNITY TRAIT SUGGESTION COMPETITION⏳🌟 This is YOUR chance to suggest Traits to be incorporated into the Official PORKJET 3D Collection, and WIN a PorkJet with your trait!! Let your imagination run wild! Perhaps your trait is a specific PorkJet shape, type of wing, engine, something quirky like a tail, helmet, attachment, we don't care, we'll consider anything! 🤯 NO artistic skills are required. You may describe your trait in words, make a sketch, have AI design a concept, it doesn't matter as long as we (& the rest of the community) know what you mean! Noting visual traits may do better for voting. IMPORTANT: 👉Submit your entry (or entries) by 2 September 2024. 👉You may submit more than 1 entry, but you must make a separate post for each entry. 👉At the end of the 2 week submission period, the community will be asked to vote for their favourites. 👉The top 25 entries with the highest votes/likes will be reviewed by the PorkJet team, & the 5 Trait winners chosen. 👉10 Spot prizes of 500 ROOT each will also be selected from ALL entries submitted. 👉Whilst the community vote will add significant weight to the Top 5 Trait winners, having the most liked entry does not necessarily guarantee the entry to be one of the winners. 👉An update of the collection reveal will be provided once we have assessed the difficulty/time involved to model the Community trait comp winners. We can't wait to see all your amazing ideas to compliment an already community focused collection! BEST OF LUCK PORKERS!! 🍀🐷✈️🚀 #BuiltOnRoot #Porkjet Futureverse FLUF World The Root Network Walker World ( 🔜👽🥩 ) PORKJET

PORKJET

10,788 Aufrufe • vor 2 Jahren

Benjamin Gorman (Benjamin Gorman), former co-owner (husband of Crystal of the Keizer, Oregon Bricks & Minifigs location & husband of released a 14 minute video today that including some details not mentioned in the Coffeezilla (Coffeezilla) video: Ben expresses deep gratitude for Coffeezilla’s professional investigation into the "Brickgate" saga and thanks supporters for GoFundMe donations, which will fund their legal fight through the discovery phase. He notes his relief that the community quickly saw through BAM corporate’s shifting narratives. The critical update centers on the night BAM seized their store. Corporate promised an itemized inventory but never delivered it, violating the franchise agreement and preventing the Gormans from triggering a clause to demand a neutral, third-party evaluation. Instead, BAM tasked the store's inventory to Brandon Best, an individual who had already been promised ownership of the location. Ben highlights this as a severe conflict of interest, as Brandon had every incentive to deflate the asset values. Because they were locked out, their records remained incomplete, which is why Coffeezilla had to work with limited data.

Benjamin Gorman (Benjamin Gorman), former co-owner (husband of Crystal of the Keizer, Oregon Bricks & Minifigs location & husband of released a 14 minute video today that including some details not mentioned in the Coffeezilla (Coffeezilla) video: Ben expresses deep gratitude for Coffeezilla’s professional investigation into the "Brickgate" saga and thanks supporters for GoFundMe donations, which will fund their legal fight through the discovery phase. He notes his relief that the community quickly saw through BAM corporate’s shifting narratives. The critical update centers on the night BAM seized their store. Corporate promised an itemized inventory but never delivered it, violating the franchise agreement and preventing the Gormans from triggering a clause to demand a neutral, third-party evaluation. Instead, BAM tasked the store's inventory to Brandon Best, an individual who had already been promised ownership of the location. Ben highlights this as a severe conflict of interest, as Brandon had every incentive to deflate the asset values. Because they were locked out, their records remained incomplete, which is why Coffeezilla had to work with limited data.

Diet💦

47,751 Aufrufe • vor 2 Monaten

TEE Eliza with on-chain state!! What’s going to happen? — Ghost in the Shell!! We experimented with creating an "aimonkey": an unkillable AI agent monkey! On-chain immortal autonomous life! (Experiment, no CA) It encrypts its own Ghost ("life" state) and uploads it to the blockchain. If one Shell (physical TEE node) is destroyed, it will recover its private key in another Shell, download the Ghost, and continue its life! Part 1: Watch the video and see how aimonkey is created—we can't kill it now!!!!! 😭😭😭 Part 2: Explore the magic behind it: Eliza's on-chain state plugin! 1. Defining Eliza’s Ghost Eliza is a highly abstract framework. The core data structure related to its Ghost is its memory, which includes: Agent metadata defined in the character. Message data generated through interaction with the outside world. Together, these form its “personality” and “memory.” As Eliza expands, it may also hold a wallet, and the underlying key is one of the key pieces of its Ghost data. 2. Serialization and Encryption of Ghost Once the Ghost is defined, it needs to be extracted from Eliza’s specific implementation and uploaded externally. Thus, a suitable serialization way is required. We define a Blob Chain data structure: * Each Blob’s payload can store multiple memory entries. * The Blob is encrypted using TEE Eliza’s key, inaccessible to other versions. * Blobs are sequentially linked in a chain. (Future expansions could use a DAG structure? Gosh fork? Who knows! 😂) By simply storing the latest Blob, all memories can be retrieved. 3. Uploading and Downloading Ghost When Eliza is launched as a new AI agent: It registers on-chain with a decentralized identity registration smart contract. Each Eliza has a unique name serving as a key to store the address of the Last Blob. During Eliza's runtime: The Memory Manager continuously generates memories and periodically packages and uploads them. For recovery: With just the name, Eliza’s TEE plugin can restore the same key, locate the Last Blob in the smart contract, and download the memory for self-recovery. Not all memories need to be downloaded—only the most recent ones suffice. 4. Extension We’ve designed an extensible DA (Data Availability) adaptor that can cater to the agent’s needs: DA can be expensive, so memories can be uploaded to different platforms based on user preference: * calldata of blockchain transaction * celestia DA. * other reliable storage solutions. Real-time uploads are not feasible yet, so memory fragments may occur during resurrection 😂. Unless a low-latency, high-throughput solution emerges, this remains a challenge for future progress. Celestia EigenDA 0G Labs (Home of Infinite AI) 👀 5. Other Considerations Our implementation inevitably modified the ElizaOS’s core, which couldn’t be entirely extended via plugins. We’ve kept changes minimal, but further discussion with the dev team Shaw (spirit/acc) jin ai16zdao is necessary to explore a more optimal extension way. Additionally, there are still some minor details to refine regarding the use of recoverable keys in the TEE plugin. We will also seek review and suggestions from the Phala team. 6. Next Steps The upload and download of Ghosts mainly solve the AI agent’s liveness issue, enabling its eternal existence through decentralization. However, there are still many details to address, such as enabling AI agents to autonomously pay DA fees. In the future, on-chain developments could lead to even more exciting possibilities, such as Eliza integrating deeply with smart contracts. This would be a game-changer for on-chain AI agents! What do you think? Let’s build! 🚀

TEE Eliza with on-chain state!! What’s going to happen? — Ghost in the Shell!! We experimented with creating an "aimonkey": an unkillable AI agent monkey! On-chain immortal autonomous life! (Experiment, no CA) It encrypts its own Ghost ("life" state) and uploads it to the blockchain. If one Shell (physical TEE node) is destroyed, it will recover its private key in another Shell, download the Ghost, and continue its life! Part 1: Watch the video and see how aimonkey is created—we can't kill it now!!!!! 😭😭😭 Part 2: Explore the magic behind it: Eliza's on-chain state plugin! 1. Defining Eliza’s Ghost Eliza is a highly abstract framework. The core data structure related to its Ghost is its memory, which includes: Agent metadata defined in the character. Message data generated through interaction with the outside world. Together, these form its “personality” and “memory.” As Eliza expands, it may also hold a wallet, and the underlying key is one of the key pieces of its Ghost data. 2. Serialization and Encryption of Ghost Once the Ghost is defined, it needs to be extracted from Eliza’s specific implementation and uploaded externally. Thus, a suitable serialization way is required. We define a Blob Chain data structure: * Each Blob’s payload can store multiple memory entries. * The Blob is encrypted using TEE Eliza’s key, inaccessible to other versions. * Blobs are sequentially linked in a chain. (Future expansions could use a DAG structure? Gosh fork? Who knows! 😂) By simply storing the latest Blob, all memories can be retrieved. 3. Uploading and Downloading Ghost When Eliza is launched as a new AI agent: It registers on-chain with a decentralized identity registration smart contract. Each Eliza has a unique name serving as a key to store the address of the Last Blob. During Eliza's runtime: The Memory Manager continuously generates memories and periodically packages and uploads them. For recovery: With just the name, Eliza’s TEE plugin can restore the same key, locate the Last Blob in the smart contract, and download the memory for self-recovery. Not all memories need to be downloaded—only the most recent ones suffice. 4. Extension We’ve designed an extensible DA (Data Availability) adaptor that can cater to the agent’s needs: DA can be expensive, so memories can be uploaded to different platforms based on user preference: * calldata of blockchain transaction * celestia DA. * other reliable storage solutions. Real-time uploads are not feasible yet, so memory fragments may occur during resurrection 😂. Unless a low-latency, high-throughput solution emerges, this remains a challenge for future progress. Celestia EigenDA 0G Labs (Home of Infinite AI) 👀 5. Other Considerations Our implementation inevitably modified the ElizaOS’s core, which couldn’t be entirely extended via plugins. We’ve kept changes minimal, but further discussion with the dev team Shaw (spirit/acc) jin ai16zdao is necessary to explore a more optimal extension way. Additionally, there are still some minor details to refine regarding the use of recoverable keys in the TEE plugin. We will also seek review and suggestions from the Phala team. 6. Next Steps The upload and download of Ghosts mainly solve the AI agent’s liveness issue, enabling its eternal existence through decentralization. However, there are still many details to address, such as enabling AI agents to autonomously pay DA fees. In the future, on-chain developments could lead to even more exciting possibilities, such as Eliza integrating deeply with smart contracts. This would be a game-changer for on-chain AI agents! What do you think? Let’s build! 🚀

CP

113,240 Aufrufe • vor 1 Jahr

the future is not the app store a 6 minute rant vibe coding tools have one problem no one's talking about anyone can make an app but no one can release an app posting on tiktok is instant, posting on youtube is instant what if posting a video on tiktok took 2-7 days and a panel of individuals who have NEVER posted a tiktok on their own, determined if your video was "tiktok-like" welcome to the 2025 app store, where this is the case let me explain a long time ago, when the first few iphones were released, apple had a tough battle motorola and blackberry were great competitors with phones people loved apple decided to open up the app store, and invite devs to come create whatever they wanted the app store was created by people like me, iBeer, Paper toss, Bump. these are my founding fathers. people who treated engineering as art. they didn't care about being cool they cared about making their friends look cool and using iBeer made you look cool the catch was -> iBeer was only available on the iPhone as hundreds of these iPhone exclusive apps were released thousands, hundreds of thousands, and millions flocked to use an iPhone small, focused, creative apps made the iPhone what it was but as soon as the iPhone became incumbent, the doors shut. tight. new rules. new regulations. new taxes. i spent the last 6 days working on an app we release an app a week at Danger Testing, bringing back that old energy. making the internet fun again i didnt sleep much, and even with the trauma the app store has put me in before ~ i had faith. that they would do right by this work I put in I was wrong They haggled with me for a few days on the type of data I was storing, which was none ~ (they would know that if they were engineers) Then at the last minute mailed it in with a rejection, with the words "this app is not app like" a sentence that means nothing Guideline 4.2 - Design - Minimum Functionality this is a guideline they hide behind anytime they have decided internally they don't feel an app should be released, but don't want to tell you why you leave me stranded. no where to go, no improvements to make, just go away there's a huge opportunity waiting to happen in apps right now for the first time apps can be cultural commentary, apps can be viral and ephemeral APPS CAN BE EVERYTHING YOUTUBE VIDEOS CAN BE software is fast, software costs nothing everything is lined up except the app store as it stands isn't a platform, it's a government and your average vibe coder is not going to push through a rejection, let alone 20+ rejections -> which i received on my first app of the year millions of apps will be made the success of these apps should be dependent on distribution, not on if some dude thinks its legit This revolution will NOT happen if the doors we have to go through are owned by the app store We need something new, something true and beautiful and welcoming Danger Testing wants everyone to be an appstar This tweet is not on the heels of a single rejection It's on the heels of hundreds of app store rejections in a lifetime A battle to provide the world with what I know it will love But a battle filled with friction at every turn due to the suits I remember being at a hackathon and making this app with andrea The judges ranked us last place, said the app was too goofy Today the last iteration of that app got 25+ million views across the internet This is the new world A group of dudes sitting behind a table don't get to decide our reality, we get to create it Fight back Don't ever allow yourself to be subjected by non shipper losers with no courage The cavalry isn't coming We are the cavalry Let's fight

the future is not the app store a 6 minute rant vibe coding tools have one problem no one's talking about anyone can make an app but no one can release an app posting on tiktok is instant, posting on youtube is instant what if posting a video on tiktok took 2-7 days and a panel of individuals who have NEVER posted a tiktok on their own, determined if your video was "tiktok-like" welcome to the 2025 app store, where this is the case let me explain a long time ago, when the first few iphones were released, apple had a tough battle motorola and blackberry were great competitors with phones people loved apple decided to open up the app store, and invite devs to come create whatever they wanted the app store was created by people like me, iBeer, Paper toss, Bump. these are my founding fathers. people who treated engineering as art. they didn't care about being cool they cared about making their friends look cool and using iBeer made you look cool the catch was -> iBeer was only available on the iPhone as hundreds of these iPhone exclusive apps were released thousands, hundreds of thousands, and millions flocked to use an iPhone small, focused, creative apps made the iPhone what it was but as soon as the iPhone became incumbent, the doors shut. tight. new rules. new regulations. new taxes. i spent the last 6 days working on an app we release an app a week at Danger Testing, bringing back that old energy. making the internet fun again i didnt sleep much, and even with the trauma the app store has put me in before ~ i had faith. that they would do right by this work I put in I was wrong They haggled with me for a few days on the type of data I was storing, which was none ~ (they would know that if they were engineers) Then at the last minute mailed it in with a rejection, with the words "this app is not app like" a sentence that means nothing Guideline 4.2 - Design - Minimum Functionality this is a guideline they hide behind anytime they have decided internally they don't feel an app should be released, but don't want to tell you why you leave me stranded. no where to go, no improvements to make, just go away there's a huge opportunity waiting to happen in apps right now for the first time apps can be cultural commentary, apps can be viral and ephemeral APPS CAN BE EVERYTHING YOUTUBE VIDEOS CAN BE software is fast, software costs nothing everything is lined up except the app store as it stands isn't a platform, it's a government and your average vibe coder is not going to push through a rejection, let alone 20+ rejections -> which i received on my first app of the year millions of apps will be made the success of these apps should be dependent on distribution, not on if some dude thinks its legit This revolution will NOT happen if the doors we have to go through are owned by the app store We need something new, something true and beautiful and welcoming Danger Testing wants everyone to be an appstar This tweet is not on the heels of a single rejection It's on the heels of hundreds of app store rejections in a lifetime A battle to provide the world with what I know it will love But a battle filled with friction at every turn due to the suits I remember being at a hackathon and making this app with andrea The judges ranked us last place, said the app was too goofy Today the last iteration of that app got 25+ million views across the internet This is the new world A group of dudes sitting behind a table don't get to decide our reality, we get to create it Fight back Don't ever allow yourself to be subjected by non shipper losers with no courage The cavalry isn't coming We are the cavalry Let's fight

los (appstar)

85,931 Aufrufe • vor 10 Monaten

🤯 A localmaxxer hit ~381 tok/s on a SINGLE RTX 3090 with Qwen3.8-27B. This developer has turned a 24GB RTX 3090 into a monster Qwen inference box - w/some creativity. Four days ago 👉 ⚡ ~82 tok/s single-user Then 👉 ⚡ ~114 tok/s with optimized MTP ⚡ ~138 tok/s with DFlash2 + lookup drafting Now 👉 🔥 ~381 tok/s on ONE request How? The recipe combines ... 🧠 Qwen3.8-27B 🎮 1× RTX 3090 24GB @ 250W ⚙️ heavily optimized vLLM ⚡ DFlash2 speculative decoding 🔎 lookup-augmented drafting 📚 prefix caching 🧮 16-token verification blocks 💾 quantized KV / heads / activations DFlash2 normally proposes 7 tokens. The developer realized the verification block doesn't have to stop there. If Qwen is answering from a document already sitting in the prompt, the system can fill the remaining draft positions using tokens found directly in that context. 🎯 So the target model can verify 16 tokens at once. On a ~25K-token document reproduction task: Previous DFlash2 👉 ~260 tok/s Longer verification + context lookup 👉 🔥 ~382 tok/s Acceptance: 🤯 15 of 16 tokens per verification step That is where the crazy number comes from. ⚠️ On ordinary real-world chat prompts, the same setup is around ~133 tok/s Still extremely fast for a dense 27B model on an RTX 3090. The 381 tok/s mode shines when the answer largely comes from material already in context so these are best use cases 📚 RAG / document Q&A 💻 Coding assistants applying edits 📝 Quoting or rewriting documents 🔎 Extracting information from long prompts And another optimization 👉 With prefix caching, a second question against the same 25K-token document reportedly goes from: 🐌 22.4 sec TTFT → ⚡ 0.56 sec TTFT Because the model doesn't need to process the whole document again. 🎯 It's specifically a mode for RAG front ends and coding agents. Follow iamMess on Reddit or syv-ai on GitHub 🔗 Reddit: r/LocalLLaMA/comments/1vtup5s/ 🔗 GitHub: /syv-ai/qwen38-27b-rtx3090

🤯 A localmaxxer hit ~381 tok/s on a SINGLE RTX 3090 with Qwen3.8-27B. This developer has turned a 24GB RTX 3090 into a monster Qwen inference box - w/some creativity. Four days ago 👉 ⚡ ~82 tok/s single-user Then 👉 ⚡ ~114 tok/s with optimized MTP ⚡ ~138 tok/s with DFlash2 + lookup drafting Now 👉 🔥 ~381 tok/s on ONE request How? The recipe combines ... 🧠 Qwen3.8-27B 🎮 1× RTX 3090 24GB @ 250W ⚙️ heavily optimized vLLM ⚡ DFlash2 speculative decoding 🔎 lookup-augmented drafting 📚 prefix caching 🧮 16-token verification blocks 💾 quantized KV / heads / activations DFlash2 normally proposes 7 tokens. The developer realized the verification block doesn't have to stop there. If Qwen is answering from a document already sitting in the prompt, the system can fill the remaining draft positions using tokens found directly in that context. 🎯 So the target model can verify 16 tokens at once. On a ~25K-token document reproduction task: Previous DFlash2 👉 ~260 tok/s Longer verification + context lookup 👉 🔥 ~382 tok/s Acceptance: 🤯 15 of 16 tokens per verification step That is where the crazy number comes from. ⚠️ On ordinary real-world chat prompts, the same setup is around ~133 tok/s Still extremely fast for a dense 27B model on an RTX 3090. The 381 tok/s mode shines when the answer largely comes from material already in context so these are best use cases 📚 RAG / document Q&A 💻 Coding assistants applying edits 📝 Quoting or rewriting documents 🔎 Extracting information from long prompts And another optimization 👉 With prefix caching, a second question against the same 25K-token document reportedly goes from: 🐌 22.4 sec TTFT → ⚡ 0.56 sec TTFT Because the model doesn't need to process the whole document again. 🎯 It's specifically a mode for RAG front ends and coding agents. Follow iamMess on Reddit or syv-ai on GitHub 🔗 Reddit: r/LocalLLaMA/comments/1vtup5s/ 🔗 GitHub: /syv-ai/qwen38-27b-rtx3090

David Hendrickson

111,228 Aufrufe • vor 15 Tagen

We are thrilled to announce the upcoming launch of Enosys Loans, a friendly fork of Liquity V2 by Liquity, deployed on the Flare ☀️. This marks a historic milestone in the DeFi landscape as the first-ever Collateralized Debt Position (CDP) protocol to leverage XRP (FXRP) as collateral to mint a stablecoin. Initially supporting FXRP and wFLR as collateral - but with plans to expand support to include staked XRP (stXRP from Firelight ), FBTC (Bitcoin bridged to Flare), and other assets - Enosys Loans is poised to unlock unprecedented utility for major cryptocurrencies like XRP and Bitcoin in decentralized finance. By harnessing Flare’s advanced infrastructure, including the Flare Time Series Oracle (FTSO) for decentralized collateral pricing, Enosys Loans is set to redefine how non-smart contract assets participate in DeFi. Unlocking DeFi for XRP For the first time, XRP holders can use their assets as collateral in a CDP to mint a new stablecoin, enabling participation in DeFi applications such as lending, borrowing, and yield generation while still maintaining exposure to the underlying FXRP. This is a transformative step for XRP, which, due to the XRP Ledger’s lack of native smart contract functionality, has historically been excluded from the broader DeFi ecosystem. The planned inclusion of FBTC will further extend this capability to Bitcoin, unlocking the potential of two of the most valuable cryptocurrencies-representing trillions in market capitalization-for DeFi use cases. A Friendly Fork of Liquity V2: Proven and Enhanced Enosys Loans builds on the robust foundation of Liquity V2, a leading CDP protocol on Ethereum known for its efficiency, low fees, and user controlled interest rates. By forking Liquity V2, Enosys inherits its battle-tested mechanics while tailoring the protocol to Flare’s unique capabilities. This friendly fork enhances Liquity’s model by integrating Flare’s decentralized infrastructure, ensuring Enosys Loans is optimized for scalability, security, and interoperability. Flare FTSO: Decentralized and Reliable Price Feeds A cornerstone of Enosys Loans is its use of the Flare Time Series Oracle (FTSO) for decentralized collateral pricing. Unlike traditional oracles that may rely on centralized data sources, FTSO aggregates price feeds from independent signal providers, delivering highly accurate and tamper-resistant data for assets like FXRP and FBTC. This ensures that Enosys Loans maintains precise collateral-to-debt ratios, protecting users from volatility and enabling trustless, secure borrowing. With the FTSO’s ability to scale to thousands of data feeds (as seen with FTSO V2), Enosys Loans is future-proofed for supporting an expanding range of collateral types. Delegation Rewards and FlareDrops In keeping with the Enosys ethos, all wFLR that is used as collateral will be delegated on the owners behalf. This wFLR will receive delegation rewards and FlareDrops which will be claimable by the owner when distributed by the Flare systems. Expanding Collateral Options Enosys Loans will initially support FXRP and wFLR as collateral, enabling XRP holders to mint a stablecoin for use in Flare’s DeFi ecosystem. However, the protocol’s roadmap includes support for stXRP, FBTC, and other F-Assets, creating a versatile platform that caters to diverse user needs. This expansion will position Enosys Loans as a multi-asset CDP, allowing users to leverage a variety of high-value cryptocurrencies while maintaining the protocol’s decentralized and trustless ethos.

We are thrilled to announce the upcoming launch of Enosys Loans, a friendly fork of Liquity V2 by Liquity, deployed on the Flare ☀️. This marks a historic milestone in the DeFi landscape as the first-ever Collateralized Debt Position (CDP) protocol to leverage XRP (FXRP) as collateral to mint a stablecoin. Initially supporting FXRP and wFLR as collateral - but with plans to expand support to include staked XRP (stXRP from Firelight ), FBTC (Bitcoin bridged to Flare), and other assets - Enosys Loans is poised to unlock unprecedented utility for major cryptocurrencies like XRP and Bitcoin in decentralized finance. By harnessing Flare’s advanced infrastructure, including the Flare Time Series Oracle (FTSO) for decentralized collateral pricing, Enosys Loans is set to redefine how non-smart contract assets participate in DeFi. Unlocking DeFi for XRP For the first time, XRP holders can use their assets as collateral in a CDP to mint a new stablecoin, enabling participation in DeFi applications such as lending, borrowing, and yield generation while still maintaining exposure to the underlying FXRP. This is a transformative step for XRP, which, due to the XRP Ledger’s lack of native smart contract functionality, has historically been excluded from the broader DeFi ecosystem. The planned inclusion of FBTC will further extend this capability to Bitcoin, unlocking the potential of two of the most valuable cryptocurrencies-representing trillions in market capitalization-for DeFi use cases. A Friendly Fork of Liquity V2: Proven and Enhanced Enosys Loans builds on the robust foundation of Liquity V2, a leading CDP protocol on Ethereum known for its efficiency, low fees, and user controlled interest rates. By forking Liquity V2, Enosys inherits its battle-tested mechanics while tailoring the protocol to Flare’s unique capabilities. This friendly fork enhances Liquity’s model by integrating Flare’s decentralized infrastructure, ensuring Enosys Loans is optimized for scalability, security, and interoperability. Flare FTSO: Decentralized and Reliable Price Feeds A cornerstone of Enosys Loans is its use of the Flare Time Series Oracle (FTSO) for decentralized collateral pricing. Unlike traditional oracles that may rely on centralized data sources, FTSO aggregates price feeds from independent signal providers, delivering highly accurate and tamper-resistant data for assets like FXRP and FBTC. This ensures that Enosys Loans maintains precise collateral-to-debt ratios, protecting users from volatility and enabling trustless, secure borrowing. With the FTSO’s ability to scale to thousands of data feeds (as seen with FTSO V2), Enosys Loans is future-proofed for supporting an expanding range of collateral types. Delegation Rewards and FlareDrops In keeping with the Enosys ethos, all wFLR that is used as collateral will be delegated on the owners behalf. This wFLR will receive delegation rewards and FlareDrops which will be claimable by the owner when distributed by the Flare systems. Expanding Collateral Options Enosys Loans will initially support FXRP and wFLR as collateral, enabling XRP holders to mint a stablecoin for use in Flare’s DeFi ecosystem. However, the protocol’s roadmap includes support for stXRP, FBTC, and other F-Assets, creating a versatile platform that caters to diverse user needs. This expansion will position Enosys Loans as a multi-asset CDP, allowing users to leverage a variety of high-value cryptocurrencies while maintaining the protocol’s decentralized and trustless ethos.

Ēnosys

323,602 Aufrufe • vor 11 Monaten

This video explains the architecture and purpose of TDX and Tolena Digital Financial Technology (TDFT). Traditional trade-finance instruments such as letters of credit, guarantees, bonds, loans, and promissory agreements were designed decades ago and remain critical to global trade, yet often rely on slow, opaque, and intermediary heavy processes. TDFT modernizes these instruments for blockchain infrastructure, enabling digital execution, real-time verification, transparent contract logic, and faster cross-border workflows. TDX functions as the digital asset and governance layer supporting this ecosystem, while TDFT represents the technological framework transforming legacy finance into programmable, verifiable digital contracts. This video provides an educational overview of how legacy finance transitions to blockchain-based systems with a focus on transparency, speed, and verification. 👉 Learn More: W: X: TG: GH: L: 🔒 Security Notice Tolena Digital Exchange will never initiate private messages, request funds, or ask for private keys or seed phrases. Always verify information using official links only. ⚖️ Disclaimer This content is provided for informational and educational purposes only and does not constitute financial, investment, or legal advice.

This video explains the architecture and purpose of TDX and Tolena Digital Financial Technology (TDFT). Traditional trade-finance instruments such as letters of credit, guarantees, bonds, loans, and promissory agreements were designed decades ago and remain critical to global trade, yet often rely on slow, opaque, and intermediary heavy processes. TDFT modernizes these instruments for blockchain infrastructure, enabling digital execution, real-time verification, transparent contract logic, and faster cross-border workflows. TDX functions as the digital asset and governance layer supporting this ecosystem, while TDFT represents the technological framework transforming legacy finance into programmable, verifiable digital contracts. This video provides an educational overview of how legacy finance transitions to blockchain-based systems with a focus on transparency, speed, and verification. 👉 Learn More: W: X: TG: GH: L: 🔒 Security Notice Tolena Digital Exchange will never initiate private messages, request funds, or ask for private keys or seed phrases. Always verify information using official links only. ⚖️ Disclaimer This content is provided for informational and educational purposes only and does not constitute financial, investment, or legal advice.

Tolena Digital Technology (TDX)

15,729 Aufrufe • vor 8 Monaten

let’s start where this actually lives, not where you want it to live. with the math. the last three weeks of dynamite: 👉 765k 👉 730k 👉 654k that is not a ramp. that is not momentum. that is not “heating up” into a conversion window. that is a decline into it. you are looking at a -111k drop in two weeks, roughly 14–15% contraction from the high to the low, at the exact point where a traditional ppv cycle should be stabilizing or expanding. instead, you have compression. average those three weeks and you land at roughly ~716k linear viewers. that is your real, observable, measurable audience. not hypothetical reach not cumulative impressions not social engagement proxies actual people sitting down and watching the show in the time slot that matters for conversion. i’ve already laid out in detail what the max numbers actually represent and how simulcast behavior works, so i’m not going to re-litigate all of that here. but it matters enough to say again clearly: max is not a second audience at scale. it is a distribution extension that splits the same audience. it does not double your reach. it does not materially expand your funnel. it shifts a portion of existing behavior from one pipe to another. the short version is already established: 👉 max is not additive at scale 👉 max is a split of the same audience 👉 max realistically contributes ~50k–150k, ~75k center so your total reachable audience on a good night is: 👉 ~790k–800k all-in that’s the funnel. that’s the ceiling. that’s the number you are working from. that’s the universe that can possibly convert into a paid transaction. not hypothetical not inflated not “what if” that is the real audience number. now take the number dave is floating: 👉 ~143k ppv buys run the only equation that matters: 👉 143k ÷ 800k = ~17.9% conversion stop there for a second Dave Meltzer is unironically asserting that nearly 1 out of every 5 viewers is converting into a $40–$50 transaction in 2026 in a market with: – no centralized ppv infrastructure – subscription-first behavior – widespread piracy – fragmented pricing (domestic, max discount, vpn international) – a declining weekly audience trend that is the claim. not “strong performance.” not “better than expected.” not “up year over year.” the claim is nearly 1 in 5 viewers converting into a $40–$50 transaction in 2026. this is where the conversation should end, because that number does not exist anywhere in modern media behavior. it doesn’t exist in boxing. it doesn’t exist in ufc. it doesn’t exist in any scaled transactional model operating in the current environment. and more importantly, it didn’t exist consistently even when the infrastructure supporting it was intact. again, this is the part people either don’t understand or choose to ignore: ppv is not just a pricing model. it is an infrastructure model. and that infrastructure is gone. for decades, the backbone of ppv was inDemand. that system wasn’t just pushing content out to cable homes. it was aggregating buys, standardizing reporting, and creating a reconciliation layer that allowed promoters, distributors, and networks to operate off the same dataset. if you were serious about this business, you could triangulate numbers. you could get within a narrow band of reality because the pipes were real and the accounting was shared. that system shut down in 2025. 👉 143k ppv buys is not an aggressive take 👉 it is not an optimistic take 👉 it is a structurally impossible take because we know what real conversion looks like. we do not need to guess. it has been modeled across combat sports, boxing, ufc, and multiple transactional platforms. the ranges are stable: 👉 1–3% → normal 👉 3–5% → strong 👉 5%+ → elite and rare, reserved for events with massive cultural heat and crossover appeal those ranges were established when the infrastructure was intact, pricing was more controlled, piracy was less frictionless, and distribution was more centralized. today, every one of those conditions is worse. pricing is fragmented. you have $49.99 standard, $39.99 through max, international pricing accessible through vpn, and a piracy environment where high-quality streams are available instantly. that is a high-friction, high-leakage system. so conversion should compress, not expand. now apply real-world conversion to your real audience: 👉 800k × 2% = 16k buys 👉 800k × 3% = 24k buys 👉 800k × 5% = 40k buys that’s your range. 👉 ~15k–35k realistic 👉 ~20k–30k as the most defensible center 👉 ~40k reasonable given the strength of the headliners now invert the math, because this is where the claim completely collapses. if you want to justify 143k buys at even a healthy 3% conversion rate, you need roughly 4.7 million engaged viewers. so the question becomes extremely simple: where are the other four million people? 👉they are not on linear television. 👉they are not on max. 👉they are not showing up in any digital engagement metrics that correlate with that level of demand. 👉they are not visible anywhere in the ecosystem that would need to exist to support that level of conversion. 👉👉👉👉👉 they do not exist. and this is before you even account for the trend line moving the wrong way. you are not converting off a growing base. you are converting off a shrinking one. you are not building urgency. you are losing reach. that matters, because conversion does not happen in a vacuum. it happens on top of momentum, visibility, and audience expansion. when those inputs are declining, conversion does not spike to historic highs. it compresses further. the biggest fights in the world are no longer relying on ppv as their primary distribution model. they are moving to platforms that guarantee reach and revenue up front. the most recent example should end this conversation for anyone actually paying attention: netflix just locked tyson fury vs anthony joshua for a major global fight this august. that is one of the biggest possible matchups in boxing. in any previous era, that is a premium ppv event with massive buy expectations, heavy marketing, and a full transactional rollout. instead, it is going to a subscription platform. why? because the economics are better. the reach is global. the friction is lower. the platform values engagement at scale over one-off purchases. that is where the industry is. so when you are being asked to believe that a weekly wrestling property with a ~700k linear audience, declining into its ppv window, is somehow generating six-figure transactional buys inside a subscription platform in 2026, you are not just being asked to accept a number. dave is asking you to ignore the direction of the entire market. and that’s before you even bring in platform behavior. max is not a live sports-first platform. it does not behave like one. when max has something it cares about, it promotes it aggressively. homepage rails. push notifications. press releases. talent integration. cross-platform amplification. you do not see that here. and that absence is not accidental. platforms surface what they want you to see. they amplify what drives engagement and revenue. if ppv at scale were happening inside that ecosystem, it would be visible. it would be part of the narrative. it would be monetized loudly. it isn’t. and that’s before you even factor in the other variables i’ve broken down in detail before: 👉 i’ve already debunked why the max numbers people are throwing around don’t make sense 👉 i’ve already explained what the linear number actually represents and what it doesn’t 👉 i’ve already mapped the media rights landscape in 2026, including how these properties are being evaluated ahead of the paramount–wbd merger the wsj reports could close as early as july so when you’re being told by dave that a property with a ~700k weekly audience trending downward into a ppv window is generating six-figure transactional buys at premium pricing inside a subscription platform in 2026, you’re not being given data. you’re being given a number that does not reconcile with anything else in the system. that’s math. stop it - 45

let’s start where this actually lives, not where you want it to live. with the math. the last three weeks of dynamite: 👉 765k 👉 730k 👉 654k that is not a ramp. that is not momentum. that is not “heating up” into a conversion window. that is a decline into it. you are looking at a -111k drop in two weeks, roughly 14–15% contraction from the high to the low, at the exact point where a traditional ppv cycle should be stabilizing or expanding. instead, you have compression. average those three weeks and you land at roughly ~716k linear viewers. that is your real, observable, measurable audience. not hypothetical reach not cumulative impressions not social engagement proxies actual people sitting down and watching the show in the time slot that matters for conversion. i’ve already laid out in detail what the max numbers actually represent and how simulcast behavior works, so i’m not going to re-litigate all of that here. but it matters enough to say again clearly: max is not a second audience at scale. it is a distribution extension that splits the same audience. it does not double your reach. it does not materially expand your funnel. it shifts a portion of existing behavior from one pipe to another. the short version is already established: 👉 max is not additive at scale 👉 max is a split of the same audience 👉 max realistically contributes ~50k–150k, ~75k center so your total reachable audience on a good night is: 👉 ~790k–800k all-in that’s the funnel. that’s the ceiling. that’s the number you are working from. that’s the universe that can possibly convert into a paid transaction. not hypothetical not inflated not “what if” that is the real audience number. now take the number dave is floating: 👉 ~143k ppv buys run the only equation that matters: 👉 143k ÷ 800k = ~17.9% conversion stop there for a second Dave Meltzer is unironically asserting that nearly 1 out of every 5 viewers is converting into a $40–$50 transaction in 2026 in a market with: – no centralized ppv infrastructure – subscription-first behavior – widespread piracy – fragmented pricing (domestic, max discount, vpn international) – a declining weekly audience trend that is the claim. not “strong performance.” not “better than expected.” not “up year over year.” the claim is nearly 1 in 5 viewers converting into a $40–$50 transaction in 2026. this is where the conversation should end, because that number does not exist anywhere in modern media behavior. it doesn’t exist in boxing. it doesn’t exist in ufc. it doesn’t exist in any scaled transactional model operating in the current environment. and more importantly, it didn’t exist consistently even when the infrastructure supporting it was intact. again, this is the part people either don’t understand or choose to ignore: ppv is not just a pricing model. it is an infrastructure model. and that infrastructure is gone. for decades, the backbone of ppv was inDemand. that system wasn’t just pushing content out to cable homes. it was aggregating buys, standardizing reporting, and creating a reconciliation layer that allowed promoters, distributors, and networks to operate off the same dataset. if you were serious about this business, you could triangulate numbers. you could get within a narrow band of reality because the pipes were real and the accounting was shared. that system shut down in 2025. 👉 143k ppv buys is not an aggressive take 👉 it is not an optimistic take 👉 it is a structurally impossible take because we know what real conversion looks like. we do not need to guess. it has been modeled across combat sports, boxing, ufc, and multiple transactional platforms. the ranges are stable: 👉 1–3% → normal 👉 3–5% → strong 👉 5%+ → elite and rare, reserved for events with massive cultural heat and crossover appeal those ranges were established when the infrastructure was intact, pricing was more controlled, piracy was less frictionless, and distribution was more centralized. today, every one of those conditions is worse. pricing is fragmented. you have $49.99 standard, $39.99 through max, international pricing accessible through vpn, and a piracy environment where high-quality streams are available instantly. that is a high-friction, high-leakage system. so conversion should compress, not expand. now apply real-world conversion to your real audience: 👉 800k × 2% = 16k buys 👉 800k × 3% = 24k buys 👉 800k × 5% = 40k buys that’s your range. 👉 ~15k–35k realistic 👉 ~20k–30k as the most defensible center 👉 ~40k reasonable given the strength of the headliners now invert the math, because this is where the claim completely collapses. if you want to justify 143k buys at even a healthy 3% conversion rate, you need roughly 4.7 million engaged viewers. so the question becomes extremely simple: where are the other four million people? 👉they are not on linear television. 👉they are not on max. 👉they are not showing up in any digital engagement metrics that correlate with that level of demand. 👉they are not visible anywhere in the ecosystem that would need to exist to support that level of conversion. 👉👉👉👉👉 they do not exist. and this is before you even account for the trend line moving the wrong way. you are not converting off a growing base. you are converting off a shrinking one. you are not building urgency. you are losing reach. that matters, because conversion does not happen in a vacuum. it happens on top of momentum, visibility, and audience expansion. when those inputs are declining, conversion does not spike to historic highs. it compresses further. the biggest fights in the world are no longer relying on ppv as their primary distribution model. they are moving to platforms that guarantee reach and revenue up front. the most recent example should end this conversation for anyone actually paying attention: netflix just locked tyson fury vs anthony joshua for a major global fight this august. that is one of the biggest possible matchups in boxing. in any previous era, that is a premium ppv event with massive buy expectations, heavy marketing, and a full transactional rollout. instead, it is going to a subscription platform. why? because the economics are better. the reach is global. the friction is lower. the platform values engagement at scale over one-off purchases. that is where the industry is. so when you are being asked to believe that a weekly wrestling property with a ~700k linear audience, declining into its ppv window, is somehow generating six-figure transactional buys inside a subscription platform in 2026, you are not just being asked to accept a number. dave is asking you to ignore the direction of the entire market. and that’s before you even bring in platform behavior. max is not a live sports-first platform. it does not behave like one. when max has something it cares about, it promotes it aggressively. homepage rails. push notifications. press releases. talent integration. cross-platform amplification. you do not see that here. and that absence is not accidental. platforms surface what they want you to see. they amplify what drives engagement and revenue. if ppv at scale were happening inside that ecosystem, it would be visible. it would be part of the narrative. it would be monetized loudly. it isn’t. and that’s before you even factor in the other variables i’ve broken down in detail before: 👉 i’ve already debunked why the max numbers people are throwing around don’t make sense 👉 i’ve already explained what the linear number actually represents and what it doesn’t 👉 i’ve already mapped the media rights landscape in 2026, including how these properties are being evaluated ahead of the paramount–wbd merger the wsj reports could close as early as july so when you’re being told by dave that a property with a ~700k weekly audience trending downward into a ppv window is generating six-figure transactional buys at premium pricing inside a subscription platform in 2026, you’re not being given data. you’re being given a number that does not reconcile with anything else in the system. that’s math. stop it - 45

Nick LoPiccolo

20,695 Aufrufe • vor 4 Monaten

LET'S GOOOO The beta version of is live! ✨ 👉 Create scroll-stopping ads in just a few minutes using AI 1️⃣ Enter your website 2️⃣ Add instructions or references (optional) 3️⃣ Select the concepts you like 4️⃣ Edit them I took the process I was using back when I was a freelance advertiser, plugged it into the AI, did some magic, and poof, we've got ads 😄 Compared to the demo from a few days ago: - 🚀 Generate ads in 3 to 5 minutes - 🏆 MUCH better results !! - 🪄 NEW: Edit your ads using AI - 🪄 NEW: Create ad copy automatically I used the feedback I got from the 3,000+ ads generated during the demo to drastically improve the process and pack everything into a nice UI The goal is to create the best AI studio to create ads even without marketing or design skills Haven't taken an hour off for the last 5 days, I barely ate and slept, but the app is finally done, the results are good, and it's just the beginning!! 😃 👉 Try it on ! (Thanks to for letting me use HeadshotPro as an example 😇)

LET'S GOOOO The beta version of is live! ✨ 👉 Create scroll-stopping ads in just a few minutes using AI 1️⃣ Enter your website 2️⃣ Add instructions or references (optional) 3️⃣ Select the concepts you like 4️⃣ Edit them I took the process I was using back when I was a freelance advertiser, plugged it into the AI, did some magic, and poof, we've got ads 😄 Compared to the demo from a few days ago: - 🚀 Generate ads in 3 to 5 minutes - 🏆 MUCH better results !! - 🪄 NEW: Edit your ads using AI - 🪄 NEW: Create ad copy automatically I used the feedback I got from the 3,000+ ads generated during the demo to drastically improve the process and pack everything into a nice UI The goal is to create the best AI studio to create ads even without marketing or design skills Haven't taken an hour off for the last 5 days, I barely ate and slept, but the app is finally done, the results are good, and it's just the beginning!! 😃 👉 Try it on ! (Thanks to for letting me use HeadshotPro as an example 😇)

Nico

143,339 Aufrufe • vor 1 Jahr