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🆕 EnsWilde v2.1.1 is out! Minor updates with device warnings, improved zPatch Custom, and an updated MobileGestalt ⚙️ 📱 iOS 18 – iOS 26.2 Beta 1 📥 Guide: #EnsWilde #iOS18 #iOS26 #iOSTweaks #NoJailbreak #iPhoneCustomization

Senumy

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18,811 views • 8 months ago •via X (Twitter)

#EnsWilde #iOS18 #iOS26 #iOSTweaks #NoJailbreak #iPhoneCustomization

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Rumble Kong League

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This is a big update! visionOS 2.4 Beta is now available and I’m genuinely excited! The public release hits in April, but here’s the rundown of what’s available in visionOS 2.4 Beta today: • Apple Intelligence is coming to Vision Pro! All those rumors that said the first model wouldn’t get it. Dead wrong. We’re getting Image Playground to whip up fun images, Genmoji for custom emojis, and my personal favorite, Writing Tools. This is just the start of Apple Intelligence on Vision Pro and I’m excited to see where it takes us. • Guest User feature! Hand your Vision Pro to someone, and your nearby iPhone or iPad pings with an 'Allow Guest User' option. You pick their apps from your device, kick off View Mirroring with AirPlay to see what they’re seeing, and guide them through the experience. It’s clean, easy, and something many of us have been asking for. • A new Spatial Gallery app! Apple’s curating a stunning lineup of spatial photos, videos, and panoramas from artists, filmmakers, and brands like Cirque du Soleil and Porsche. Can’t wait to dive into that. • A new Vision Pro app for iPhone! Browse and queue up apps or games to download, discover spatial content from Apple TV and Spatial Gallery, and grab handy tips—all from your iPhone. It’ll roll out with iOS 18.4 wherever Vision Pro’s sold. I think it’ll be super useful. visionOS 2.4 is a big step up and it’s another strong signal that we have a lot to look forward to with spatial computing from Apple. We are just getting started.

Justin Ryan ᯅ

83,414 views • 1 year ago

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long time no posting, here's some of the stuff we released in helium recently: - customizable keyboard shortcuts on all platforms - automatic updates on windows - frameless mode (previously zen mode), with floating sidebar, is now out of beta and included in settings by default - improved fingerprint noising: fixed the canvas noising algorithm and added protections against analysis attacks (thank you Cynthia 🐈 for your report, research, and assistance) - tab URL copying, one or multiple, formatted as a list with line breaks - manual tab hibernation, with an option to hibernate all tabs except for selected/active ones - an option to close tabs to the left (or above, in vertical layout) - redesigned toast notifications, now anchored to the active web page, and no longer blinding in dark mode - toast notification about newly opened background tabs in frameless mode (can be disabled in settings) - redesigned the infobar, it no longer looks out of place - improved QR code generation, now it's actually useful - downloads bubble is now shown instead of the full page whenever applicable - kagi search now supports reverse image search from image context menu - frameless mode animations are now smoother - better color contrast in light and dark modes - a lot of bug fixes and other minor improvements all of these changes are present in the latest version of helium. if you're using helium on windows, please update to the latest version, so your browser can be updated automatically from now on!

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180,073 views • 3 months ago

The keyboard on iOS is the worst I have ever used in comparison to what’s available on Android. When AI voice dictation came out, it quickly became my primary input interface on both desktop and mobile. Though, on mobile it was quite limited to specific apps, cuz in many cases it is not that good or completely missing. Around a month ago, it finally changed when I had a chance to beta test Typeless keyboard for iOS. There, it can be synced between mobile and desktop apps, so I would have access to all my configurations as well as to the dictation history. It comes with a seamless way to switch between typing and dictation and a wave animation (quite an important part), so you can see if it is actually recording what you say. Typeless enables vibe coding in tools like Claude Code or AI Studio from mobile. A custom dictionary saves loads of time cuz you don’t have to correct all your abbreviations that other voice dictation solutions misspell. You can easily access dictated text on your other devices, and it also saves your dictated text from being accidentally lost (a common issue with the dictation feature on other apps). And you can always see how much time you managed to save on the main UI. “Time saved” * “Your hourly rate” is the ROI. AI is money 👀 * Sponsored post

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🚨 AI News | TestingCatalog

14,057 views • 8 months ago

while we don’t know for sure if the iPhone mirroring feature will come to the Apple Vision Pro, I sure hope it does. for now, it's available on Mac—i tested it and it's amazing! here’s how you can experience it on your Mac today: 1. make sure both your iPhone and Mac are running the latest beta versions of iOS 18 and macOS Sequoia. 2. position your iPhone near your Mac. 3. an icon titled "iPhone Mirroring" will appear on your Mac's Dock. 4. select the "Continue" button on your Mac. 5. unlock your iPhone when prompted. 6. on your Mac, click the "Get Started" button. 7. with your iPhone locked, open the "iPhone Mirroring" app on your Mac. this feature is a game-changer, and i can’t wait for the day it hopefully comes to the Vision Pro!

while we don’t know for sure if the iPhone mirroring feature will come to the Apple Vision Pro, I sure hope it does. for now, it's available on Mac—i tested it and it's amazing! here’s how you can experience it on your Mac today: 1. make sure both your iPhone and Mac are running the latest beta versions of iOS 18 and macOS Sequoia. 2. position your iPhone near your Mac. 3. an icon titled "iPhone Mirroring" will appear on your Mac's Dock. 4. select the "Continue" button on your Mac. 5. unlock your iPhone when prompted. 6. on your Mac, click the "Get Started" button. 7. with your iPhone locked, open the "iPhone Mirroring" app on your Mac. this feature is a game-changer, and i can’t wait for the day it hopefully comes to the Vision Pro!

Justin Ryan

70,266 views • 2 years ago

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shimrit ben-yair

24,393 views • 9 months ago

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11,212 views • 1 year ago

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Riley Brown

436,497 views • 5 months ago

#FreenBecky #BeckysAngels 🌟Seoul International Drama Awards🌟 📅 July 14, 2026, at 22:00 BKK (10:00 PM BKK). We updated guidline video for buying ruby, log out for log-in other account! This is a globally recognized award with PHYSICAL TROPHY, so we will collaborate with Angels_RankingVN🇻🇳 for voting strategy and supporting fans. For having more gmail accounts, please DM us or Angels_RankingVN🇻🇳 (limited quantity)! Download Idol Champ app to vote: 🔸Ios : 🔸Android : 🗳️ VOTING MECHANICS & DAILY LIMITS ✅ 1 vote = 20🩷 ❗️Max 100 votes per day per account 💎 HOW TO EARN FREE RUBIES DAILY Maximize your accounts every single day using these methods: 1⃣Daily Attendance + Ads: Check in daily and watch the bonus advertisement to collect +10🩷. 2⃣Spin the Roulette: Watch video ads to spin the Roulette. You can win up to +100 🩷 per spin! ❗️Maximum 10 times per day 3⃣Purchasing Rubies: but better wait for the official donation pool from the fanbase. ⚠️ CRITICAL WARNING: 🚫 DO NOT log into a single account on more than 1 device. It will BAN and REMOVE ALL VOTES cast by that account. - With Angels_RankingVN🇻🇳 🌵🏜FreenBecky's World🏜🌵 FreenBecky_Data数据组 -

#FreenBecky #BeckysAngels 🌟Seoul International Drama Awards🌟 📅 July 14, 2026, at 22:00 BKK (10:00 PM BKK). We updated guidline video for buying ruby, log out for log-in other account! This is a globally recognized award with PHYSICAL TROPHY, so we will collaborate with Angels_RankingVN🇻🇳 for voting strategy and supporting fans. For having more gmail accounts, please DM us or Angels_RankingVN🇻🇳 (limited quantity)! Download Idol Champ app to vote: 🔸Ios : 🔸Android : 🗳️ VOTING MECHANICS & DAILY LIMITS ✅ 1 vote = 20🩷 ❗️Max 100 votes per day per account 💎 HOW TO EARN FREE RUBIES DAILY Maximize your accounts every single day using these methods: 1⃣Daily Attendance + Ads: Check in daily and watch the bonus advertisement to collect +10🩷. 2⃣Spin the Roulette: Watch video ads to spin the Roulette. You can win up to +100 🩷 per spin! ❗️Maximum 10 times per day 3⃣Purchasing Rubies: but better wait for the official donation pool from the fanbase. ⚠️ CRITICAL WARNING: 🚫 DO NOT log into a single account on more than 1 device. It will BAN and REMOVE ALL VOTES cast by that account. - With Angels_RankingVN🇻🇳 🌵🏜FreenBecky's World🏜🌵 FreenBecky_Data数据组 -

FreenBecky_RankingVN🇻🇳

42,311 views • 3 months ago

GPT-6 Astra is by far the best inside Codex. & this is THE Complete Beginners Guide to Codex. The 28 things you need to know about Codex and GPT-6 to start using it for knowledge work and coding work. My goal with this video: give you one guide you can send to anyone on your team so they can get comfortable with Codex, understand what’s possible, and start finding ways to use AI in your business. 00:00 Intro 01:15 The Codex Platform 02:02 Downloading Codex (ChatGPT Desktop) 03:25 1. Codex Is the App, GPT-6 Is the Model 06:10 2. Build Any App 10:32 3. Host Sites with GPT Sites 18:12 4A. Building Desktop App 21:33 4B. Building an iOS app 24:09 5. Built-In Web Browser 32:27 6. Create Any Document 35:00 7. Annotation Mode 38:41 8. Production-Ready Apps 44:29 9. Chats & Projects 48:54 10. Multitasking 50:09 10B Side Chat 51:13 11. Sections 54:27 12. Connect Every App (Plugins) 01:03:17 13. Ask Codex What to Work On 01:05:39 14. Blender & 3D Assets 01:08:25 15. Video Games 01:09:24 16. Interactive Learning Websites 01:13:12 17. Scheduled Tasks 01:16:19 18. Email & iMessage 01:18:56 19. Skills 01:22:54 20. Record and Replay 01:26:45 21. External APIs in Skills 01:30:00 22. Video Understanding Skill 01:35:51 23. Inline Charts 01:38:03 24. Control Codex from Your Phone 01:42:49 25. Generate & Edit Images 01:45:17 26. Sub-Agents 01:48:09 27. Computer Use 01:49:35 28. Whatever You Want

GPT-6 Astra is by far the best inside Codex. & this is THE Complete Beginners Guide to Codex. The 28 things you need to know about Codex and GPT-6 to start using it for knowledge work and coding work. My goal with this video: give you one guide you can send to anyone on your team so they can get comfortable with Codex, understand what’s possible, and start finding ways to use AI in your business. 00:00 Intro 01:15 The Codex Platform 02:02 Downloading Codex (ChatGPT Desktop) 03:25 1. Codex Is the App, GPT-6 Is the Model 06:10 2. Build Any App 10:32 3. Host Sites with GPT Sites 18:12 4A. Building Desktop App 21:33 4B. Building an iOS app 24:09 5. Built-In Web Browser 32:27 6. Create Any Document 35:00 7. Annotation Mode 38:41 8. Production-Ready Apps 44:29 9. Chats & Projects 48:54 10. Multitasking 50:09 10B Side Chat 51:13 11. Sections 54:27 12. Connect Every App (Plugins) 01:03:17 13. Ask Codex What to Work On 01:05:39 14. Blender & 3D Assets 01:08:25 15. Video Games 01:09:24 16. Interactive Learning Websites 01:13:12 17. Scheduled Tasks 01:16:19 18. Email & iMessage 01:18:56 19. Skills 01:22:54 20. Record and Replay 01:26:45 21. External APIs in Skills 01:30:00 22. Video Understanding Skill 01:35:51 23. Inline Charts 01:38:03 24. Control Codex from Your Phone 01:42:49 25. Generate & Edit Images 01:45:17 26. Sub-Agents 01:48:09 27. Computer Use 01:49:35 28. Whatever You Want

Riley Brown

113,357 views • 4 days ago

I want to share my real and honest experience with HAVA Hava after using it for over a year. 🥹 As someone who has long focused on metabolism, low-carb, and carnivore approaches, my initial strategy was mainly based on counting calories, planning weekly fasts, and tracking macros. However, with consistent use of HAVA, I validated the results on myself and several friends, and my nutritional paradigm evolved. Today, I primarily prioritize the satiety-per-calorie approach as the most powerful tool for metabolic health. 💪 The app uses AI technology to analyze photos of the prepared dish and instantly delivers a satiety score (satiety per calorie), along with energy density, protein density, and other key indicators. 🔐 What I value most: • It helps me choose foods that naturally suppress biochemical and hormonal hunger signals (improved leptin sensitivity, stable glucose, and mitochondrial support). 🫜 • As a result, I eat less frequently without forcing myself, I maintain better metabolic flexibility, and I reduce cravings for ultra-processed foods. 🛒 • It's very practical: its main function is to photograph the prepared dish to measure actual satiety. Also, if I eat something packaged, it easily scans barcodes, and if a food item isn't in the database, I simply photograph the product or its nutrition facts label, and the app adds it automatically. 📑 The app is constantly being updated: they add new features, optimize performance, and continuously improve the user experience. ⚙️ Compared to other classic apps like MyFitnessPal or Garmin Connect+ (which I've been using for several years), HAVA gets straight to the point that really matters for metabolic health: not just macros or calories, but how food regulates appetite at a hormonal and biochemical level. 🧬 It's not magic or a quick fix; it's an objective tool that perfectly complements the principles of real food.🥩 Thanks you Dr. E Ted ⚡️ Naiman and the entire HAVA team 🙏 If you'd like to try it: 😃 📱 iOS (Apple): 🤖 Android: 🥑🥩

I want to share my real and honest experience with HAVA Hava after using it for over a year. 🥹 As someone who has long focused on metabolism, low-carb, and carnivore approaches, my initial strategy was mainly based on counting calories, planning weekly fasts, and tracking macros. However, with consistent use of HAVA, I validated the results on myself and several friends, and my nutritional paradigm evolved. Today, I primarily prioritize the satiety-per-calorie approach as the most powerful tool for metabolic health. 💪 The app uses AI technology to analyze photos of the prepared dish and instantly delivers a satiety score (satiety per calorie), along with energy density, protein density, and other key indicators. 🔐 What I value most: • It helps me choose foods that naturally suppress biochemical and hormonal hunger signals (improved leptin sensitivity, stable glucose, and mitochondrial support). 🫜 • As a result, I eat less frequently without forcing myself, I maintain better metabolic flexibility, and I reduce cravings for ultra-processed foods. 🛒 • It's very practical: its main function is to photograph the prepared dish to measure actual satiety. Also, if I eat something packaged, it easily scans barcodes, and if a food item isn't in the database, I simply photograph the product or its nutrition facts label, and the app adds it automatically. 📑 The app is constantly being updated: they add new features, optimize performance, and continuously improve the user experience. ⚙️ Compared to other classic apps like MyFitnessPal or Garmin Connect+ (which I've been using for several years), HAVA gets straight to the point that really matters for metabolic health: not just macros or calories, but how food regulates appetite at a hormonal and biochemical level. 🧬 It's not magic or a quick fix; it's an objective tool that perfectly complements the principles of real food.🥩 Thanks you Dr. E Ted ⚡️ Naiman and the entire HAVA team 🙏 If you'd like to try it: 😃 📱 iOS (Apple): 🤖 Android: 🥑🥩

Mauricio Silva 🥑🥩

13,221 views • 5 months ago

I know your timeline is flooded now with word salads of "insane, HER, 10 features you missed, we're so back". Sit down. Chill. Take a deep breath like Mark does in the demo . Let's think step by step: - Technique-wise, OpenAI has figured out a way to map audio to audio directly as first-class modality, and stream videos to a transformer in real-time. These require some new research on tokenization and architecture, but overall it's a data and system optimization problem (as most things are). High-quality data can come from at least 2 sources: 1) Naturally occurring dialogues on YouTube, podcasts, TV series, movies, etc. Whisper can be trained to identify speaker turns in a dialogue or separate overlapping speeches for automated annotation. 2) Synthetic data. Run the slow 3-stage pipeline using the most powerful models: speech1->text1 (ASR), text1->text2 (LLM), text2->speech2 (TTS). The middle LLM can decide when to stop and also simulate how to resume from interruption. It could output additional "thought traces" that are not verbalized to help generate better reply. Then GPT-4o distills directly from speech1->speech2, with optional auxiliary loss functions based on the 3-stage data. After distillation, these behaviors are now baked into the model without emitting intermediate texts. On the system side: the latency would not meet real-time threshold if every video frame is decompressed into an RGB image. OpenAI has likely developed their own neural-first, streaming video codec to transmit the motion deltas as tokens. The communication protocol and NN inference must be co-optimized. For example, there could be a small and energy-efficient NN running on the edge device that decides to transmit more tokens if the video is interesting, and fewer otherwise. - I didn't expect GPT-4o to be closer to GPT-5, the rumored "Arrakis" model that takes multimodal in and out. In fact, it's likely an early checkpoint of GPT-5 that hasn't finished training yet. The branding betrays a certain insecurity. Ahead of Google I/O, OpenAI would rather beat our mental projection of GPT-4.5 than disappoint by missing the sky-high expectation for GPT-5. A smart move to buy more time. - Notably, the assistant is much more lively and even a bit flirty. GPT-4o is trying (perhaps a bit too hard) to sound like HER. OpenAI is eating Character AI's lunch, with almost 100% overlap in form factor and huge distribution channels. It's a pivot towards more emotional AI with strong personality, which OpenAI seemed to actively suppress in the past. - Whoever wins Apple first wins big time. I see 3 levels of integration with iOS: 1) Ditch Siri. OpenAI distills a smaller-tier, purely on-device GPT-4o for iOS, with optional paid upgrade to use the cloud. 2) Native features to stream the camera or screen into the model. Chip-level support for neural audio/video codec. 3) Integrate with iOS system-level action API and smart home APIs. No one uses Siri Shortcuts, but it's time to resurrect. This could become the AI agent product with a billion users from the get-go. The FSD for smartphones with a Tesla-scale data flywheel.

I know your timeline is flooded now with word salads of "insane, HER, 10 features you missed, we're so back". Sit down. Chill. Take a deep breath like Mark does in the demo . Let's think step by step: - Technique-wise, OpenAI has figured out a way to map audio to audio directly as first-class modality, and stream videos to a transformer in real-time. These require some new research on tokenization and architecture, but overall it's a data and system optimization problem (as most things are). High-quality data can come from at least 2 sources: 1) Naturally occurring dialogues on YouTube, podcasts, TV series, movies, etc. Whisper can be trained to identify speaker turns in a dialogue or separate overlapping speeches for automated annotation. 2) Synthetic data. Run the slow 3-stage pipeline using the most powerful models: speech1->text1 (ASR), text1->text2 (LLM), text2->speech2 (TTS). The middle LLM can decide when to stop and also simulate how to resume from interruption. It could output additional "thought traces" that are not verbalized to help generate better reply. Then GPT-4o distills directly from speech1->speech2, with optional auxiliary loss functions based on the 3-stage data. After distillation, these behaviors are now baked into the model without emitting intermediate texts. On the system side: the latency would not meet real-time threshold if every video frame is decompressed into an RGB image. OpenAI has likely developed their own neural-first, streaming video codec to transmit the motion deltas as tokens. The communication protocol and NN inference must be co-optimized. For example, there could be a small and energy-efficient NN running on the edge device that decides to transmit more tokens if the video is interesting, and fewer otherwise. - I didn't expect GPT-4o to be closer to GPT-5, the rumored "Arrakis" model that takes multimodal in and out. In fact, it's likely an early checkpoint of GPT-5 that hasn't finished training yet. The branding betrays a certain insecurity. Ahead of Google I/O, OpenAI would rather beat our mental projection of GPT-4.5 than disappoint by missing the sky-high expectation for GPT-5. A smart move to buy more time. - Notably, the assistant is much more lively and even a bit flirty. GPT-4o is trying (perhaps a bit too hard) to sound like HER. OpenAI is eating Character AI's lunch, with almost 100% overlap in form factor and huge distribution channels. It's a pivot towards more emotional AI with strong personality, which OpenAI seemed to actively suppress in the past. - Whoever wins Apple first wins big time. I see 3 levels of integration with iOS: 1) Ditch Siri. OpenAI distills a smaller-tier, purely on-device GPT-4o for iOS, with optional paid upgrade to use the cloud. 2) Native features to stream the camera or screen into the model. Chip-level support for neural audio/video codec. 3) Integrate with iOS system-level action API and smart home APIs. No one uses Siri Shortcuts, but it's time to resurrect. This could become the AI agent product with a billion users from the get-go. The FSD for smartphones with a Tesla-scale data flywheel.

Jim Fan

991,964 views • 2 years ago

What’s Left Before InterPredict Mainnet? 🟣🚀 InterPredict is getting closer to Mainnet but we are not rushing the process. ⏳ A successful Mainnet launch is about more than reaching a date on the calendar. It is about ensuring that the protocol, infrastructure and user experience are ready to operate reliably in a production environment. 🏗️🔐 Several important technical milestones have already been completed, while the remaining work is focused on integration, refinement and final preparation. 🛠️✅ ✅ Completed Milestones 1. Smart Contract Development and Testing 📜🔍 The smart contracts have been developed and tested, establishing the core on-chain foundation of the InterPredict protocol. This work is essential for ensuring that the protocol’s key functions operate as intended and can support the next stage of development. ⚙️⛓️ 2. Backend Deployment 🖥️🚀 The new backend infrastructure has been successfully deployed and is now running in a production environment. This provides the services required to support the platform and enables the frontend to communicate with the systems powering InterPredict. 🔗📡 3. Transaction and Activity Tracking 📊👀 Users can now clearly view the results of their interactions and monitor relevant activity within the platform. Improved visibility helps users better understand their transactions, actions and participation across the platform. ✅📈 4. Reliable Market Indexing 🗂️⛓️ Blockchain activity is being indexed consistently and reflected accurately within the application. Reliable indexing is important because it ensures that on-chain events, market updates and other protocol activity are displayed correctly for users. 🔄📍 5. Faster Data Synchronisation ⚡📡 The platform’s data synchronisation has been improved so that market states, votes, activities and other protocol information can be reflected in the dApp more quickly. Faster synchronisation creates a smoother and more responsive experience between blockchain activity and the information displayed in the application. 🚀📱 ⏳ Currently in Progress 1. Frontend and Backend Integration 🔌🖥️ The new frontend experience is being connected to the backend services so that both layers work together smoothly and reliably. This stage ensures that user actions, platform data and backend processes are properly connected across the entire application. 🔗✅ 2. User Experience Improvements 🎨📱 The Closed Beta provided valuable feedback and highlighted areas where the platform can become easier and more intuitive to use. The team is continuing to improve: • Navigation 🧭 • Mobile usability 📱 • Loading states ⏳ • Error handling ⚠️ • Market interaction flows 📊 • Overall platform usability ✅ These improvements are designed to make InterPredict clearer, faster and more accessible for both new and existing users. 🙌 3. Security and Reliability 🔐🛡️ The infrastructure and protocol are being reviewed and strengthened to ensure they are prepared for production use. This includes improving system stability, reviewing critical components and making sure the platform can operate reliably as activity and user participation increase. 🏗️📈 Security and reliability are not final checks to be rushed. They are essential parts of building a platform users can trust. 🤝 4. Mainnet Readiness 🚦🚀 The final stage is bringing all the moving parts together and testing the complete system as one connected platform. This includes the: → Smart contracts 📜 → Backend infrastructure 🖥️ → Frontend experience 🎨 → Market indexing 🗂️ → Data synchronisation 🔄 → Transaction tracking 📊 → Security systems 🔐 Each component must work correctly on its own and together with every other part of the protocol. ⚙️✅ Building for the Long Term 🏗️🌍 Mainnet is not simply a launch date. It is a major milestone that represents the beginning of the next phase for InterPredict. 🟣 The goal is not to launch as quickly as possible. The goal is to launch with a strong foundation that gives the team confidence to continue building, improving and scaling the platform after launch. 🚀📈 The Closed Beta showed us where improvements were needed. V2 is where those lessons are being applied. 💡🔧 There is still work to complete—but every step brings InterPredict closer to a more reliable, efficient and user-friendly platform. ⏳➡️✅ The Next Big Step 🟣🚀 The main technical foundations are now in place. The remaining focus is on integration, user experience, security, reliability and final Mainnet preparation. 🔐⚙️ We are not rushing to launch. We are making sure InterPredict is ready to launch properly. Stay updated and follow the journey towards Mainnet. 🟣🌐🚀 Follow InterPredict 📣 🔗 Follow InterPredict: InterPredict 📲 Join the Telegram community: InterLink Labs 👤 + 🌐 InterPredict InterLink Foundation KV Reina | InterLink Labs Mira #InterPredict #ITP #InterLink #ITLG #ITL #PredictionMarkets #ITL #ITLG #Web3 #Blockchain #dApp #Mainnet #Tokenomics

What’s Left Before InterPredict Mainnet? 🟣🚀 InterPredict is getting closer to Mainnet but we are not rushing the process. ⏳ A successful Mainnet launch is about more than reaching a date on the calendar. It is about ensuring that the protocol, infrastructure and user experience are ready to operate reliably in a production environment. 🏗️🔐 Several important technical milestones have already been completed, while the remaining work is focused on integration, refinement and final preparation. 🛠️✅ ✅ Completed Milestones 1. Smart Contract Development and Testing 📜🔍 The smart contracts have been developed and tested, establishing the core on-chain foundation of the InterPredict protocol. This work is essential for ensuring that the protocol’s key functions operate as intended and can support the next stage of development. ⚙️⛓️ 2. Backend Deployment 🖥️🚀 The new backend infrastructure has been successfully deployed and is now running in a production environment. This provides the services required to support the platform and enables the frontend to communicate with the systems powering InterPredict. 🔗📡 3. Transaction and Activity Tracking 📊👀 Users can now clearly view the results of their interactions and monitor relevant activity within the platform. Improved visibility helps users better understand their transactions, actions and participation across the platform. ✅📈 4. Reliable Market Indexing 🗂️⛓️ Blockchain activity is being indexed consistently and reflected accurately within the application. Reliable indexing is important because it ensures that on-chain events, market updates and other protocol activity are displayed correctly for users. 🔄📍 5. Faster Data Synchronisation ⚡📡 The platform’s data synchronisation has been improved so that market states, votes, activities and other protocol information can be reflected in the dApp more quickly. Faster synchronisation creates a smoother and more responsive experience between blockchain activity and the information displayed in the application. 🚀📱 ⏳ Currently in Progress 1. Frontend and Backend Integration 🔌🖥️ The new frontend experience is being connected to the backend services so that both layers work together smoothly and reliably. This stage ensures that user actions, platform data and backend processes are properly connected across the entire application. 🔗✅ 2. User Experience Improvements 🎨📱 The Closed Beta provided valuable feedback and highlighted areas where the platform can become easier and more intuitive to use. The team is continuing to improve: • Navigation 🧭 • Mobile usability 📱 • Loading states ⏳ • Error handling ⚠️ • Market interaction flows 📊 • Overall platform usability ✅ These improvements are designed to make InterPredict clearer, faster and more accessible for both new and existing users. 🙌 3. Security and Reliability 🔐🛡️ The infrastructure and protocol are being reviewed and strengthened to ensure they are prepared for production use. This includes improving system stability, reviewing critical components and making sure the platform can operate reliably as activity and user participation increase. 🏗️📈 Security and reliability are not final checks to be rushed. They are essential parts of building a platform users can trust. 🤝 4. Mainnet Readiness 🚦🚀 The final stage is bringing all the moving parts together and testing the complete system as one connected platform. This includes the: → Smart contracts 📜 → Backend infrastructure 🖥️ → Frontend experience 🎨 → Market indexing 🗂️ → Data synchronisation 🔄 → Transaction tracking 📊 → Security systems 🔐 Each component must work correctly on its own and together with every other part of the protocol. ⚙️✅ Building for the Long Term 🏗️🌍 Mainnet is not simply a launch date. It is a major milestone that represents the beginning of the next phase for InterPredict. 🟣 The goal is not to launch as quickly as possible. The goal is to launch with a strong foundation that gives the team confidence to continue building, improving and scaling the platform after launch. 🚀📈 The Closed Beta showed us where improvements were needed. V2 is where those lessons are being applied. 💡🔧 There is still work to complete—but every step brings InterPredict closer to a more reliable, efficient and user-friendly platform. ⏳➡️✅ The Next Big Step 🟣🚀 The main technical foundations are now in place. The remaining focus is on integration, user experience, security, reliability and final Mainnet preparation. 🔐⚙️ We are not rushing to launch. We are making sure InterPredict is ready to launch properly. Stay updated and follow the journey towards Mainnet. 🟣🌐🚀 Follow InterPredict 📣 🔗 Follow InterPredict: InterPredict 📲 Join the Telegram community: InterLink Labs 👤 + 🌐 InterPredict InterLink Foundation KV Reina | InterLink Labs Mira #InterPredict #ITP #InterLink #ITLG #ITL #PredictionMarkets #ITL #ITLG #Web3 #Blockchain #dApp #Mainnet #Tokenomics

Tekkaus® | InterLink Global Leader • MOD • OG

100,095 views • 7 days ago

🚨ANNOUNCEMENT! New Partnership + AI Coaching Offer from Anyman Fitness and Spren 🚨 I have a big announcement to make… For the last 18 months I’ve been working quietly behind the scenes on a BIG project… You may have seen me post about the iOS app “Spren” - a groundbreaking app that tests your body fat % using just your iPhone. The app has been 3rd party tested and is as accurate as a DEXA scan. If you’re into fitness, you know how wild that statement is. A DEXA scan is the gold standard for body fat testing (and they cost $200+ to get one). The Spren CEO (Jason Moore) reached out to me in 2023 and he had a proposal. He wanted to create an AI based coaching offer for people who tested their body fat % with Spren and were unhappy with the results. But he didn’t want it to be generic like Chat GPT. He wanted to model the AI after a coach with extensive experience working with the general public. For the last 18 months, we have been working behind the scenes building this offer, and it just got released to the public. The AI has been fully trained on my coaching strategies, teachings, preferences, and mindset/motivational style. Here’s how it works: • Send a text message to 734-499-1101 • If you’re outside of the US, send the text via What’s App • You’ll be sent a link to learn everything the AI can do for you • You get unlimited scans on the Spren iOS body fat testing app ($70 value) • You get a customized nutrition plan for your goals, and “AI me” will guide you on your journey You connect the app to your macro tracker and wearable. Every few weeks, you scan your body fat % again, and “I” will make adjustments as needed for you to make swift and rapid progress. The best part? I don’t take breaks. I’m always here for you. The “style” is all me… You need reminders to get your butt off the couch and go to the gym? I got you. You need done-for-you meal plans that hit your macros/calories exactly? I got you. You need recipe ideas? Workouts when traveling? Exercise substitutions? Supplementation questions? Or you just want to shoot the breeze? (Lol) I got you! I’m here, 24/7, in your back pocket. I’m thrilled to have a shared vision with Spren on this. To learn more about this new, cutting-edge offer, send a text to 734-499-1101 and check it out!

🚨ANNOUNCEMENT! New Partnership + AI Coaching Offer from Anyman Fitness and Spren 🚨 I have a big announcement to make… For the last 18 months I’ve been working quietly behind the scenes on a BIG project… You may have seen me post about the iOS app “Spren” - a groundbreaking app that tests your body fat % using just your iPhone. The app has been 3rd party tested and is as accurate as a DEXA scan. If you’re into fitness, you know how wild that statement is. A DEXA scan is the gold standard for body fat testing (and they cost $200+ to get one). The Spren CEO (Jason Moore) reached out to me in 2023 and he had a proposal. He wanted to create an AI based coaching offer for people who tested their body fat % with Spren and were unhappy with the results. But he didn’t want it to be generic like Chat GPT. He wanted to model the AI after a coach with extensive experience working with the general public. For the last 18 months, we have been working behind the scenes building this offer, and it just got released to the public. The AI has been fully trained on my coaching strategies, teachings, preferences, and mindset/motivational style. Here’s how it works: • Send a text message to 734-499-1101 • If you’re outside of the US, send the text via What’s App • You’ll be sent a link to learn everything the AI can do for you • You get unlimited scans on the Spren iOS body fat testing app ($70 value) • You get a customized nutrition plan for your goals, and “AI me” will guide you on your journey You connect the app to your macro tracker and wearable. Every few weeks, you scan your body fat % again, and “I” will make adjustments as needed for you to make swift and rapid progress. The best part? I don’t take breaks. I’m always here for you. The “style” is all me… You need reminders to get your butt off the couch and go to the gym? I got you. You need done-for-you meal plans that hit your macros/calories exactly? I got you. You need recipe ideas? Workouts when traveling? Exercise substitutions? Supplementation questions? Or you just want to shoot the breeze? (Lol) I got you! I’m here, 24/7, in your back pocket. I’m thrilled to have a shared vision with Spren on this. To learn more about this new, cutting-edge offer, send a text to 734-499-1101 and check it out!

Jason Helmes

15,819 views • 1 year ago

AG-UI makes building agentic applications dramatically easier. Here's how it works. This is a model for a simple chatbot: User → LLM → Response But interactive agents that render UI, pause for approvals, and ask users for input need a much more complex model. When building these agents, a response from the LLM will include a series of state changes as the agent runs: • Agent started a task • Agent called a tool • Agent updated its state • Agent streams these tokens • Agent is waiting on a human • Agent is resuming the task The Agent-User Interaction Protocol (AG-UI) treats the LLM response as a stream of events rather than a text endpoint. In practice, here is what you get as an agent runs: 1. Lifecycle events so your UI knows where the agent is. 2. Text messages that stream tokens. 3. Tool calls so your UI can prefill a form with any required arguments. 4. State updates that keep your UI in sync with the agent. 5. Special events for human approvals, rich media, and custom needs. All of these events travel over standard transports (SSE, WebSockets, or plain HTTP) as JSON. As a result, you can build a frontend that stays in sync with the agent's progress without having to invent a custom process to make this happen. For example, building a human-in-the-loop workflow becomes an off-the-shelf component you can integrate rather than build from scratch. CopilotKit🪁 is the creator of AG-UI, and you can use it when building frontend applications pretty much anywhere: • React • Angular • Vue • React Native • Slack • Teams • Discord • WhatsApp • Telegram Here is the link for you to check it out: Thanks to the CopilotKit team for partnering with me on this post.

AG-UI makes building agentic applications dramatically easier. Here's how it works. This is a model for a simple chatbot: User → LLM → Response But interactive agents that render UI, pause for approvals, and ask users for input need a much more complex model. When building these agents, a response from the LLM will include a series of state changes as the agent runs: • Agent started a task • Agent called a tool • Agent updated its state • Agent streams these tokens • Agent is waiting on a human • Agent is resuming the task The Agent-User Interaction Protocol (AG-UI) treats the LLM response as a stream of events rather than a text endpoint. In practice, here is what you get as an agent runs: 1. Lifecycle events so your UI knows where the agent is. 2. Text messages that stream tokens. 3. Tool calls so your UI can prefill a form with any required arguments. 4. State updates that keep your UI in sync with the agent. 5. Special events for human approvals, rich media, and custom needs. All of these events travel over standard transports (SSE, WebSockets, or plain HTTP) as JSON. As a result, you can build a frontend that stays in sync with the agent's progress without having to invent a custom process to make this happen. For example, building a human-in-the-loop workflow becomes an off-the-shelf component you can integrate rather than build from scratch. CopilotKit🪁 is the creator of AG-UI, and you can use it when building frontend applications pretty much anywhere: • React • Angular • Vue • React Native • Slack • Teams • Discord • WhatsApp • Telegram Here is the link for you to check it out: Thanks to the CopilotKit team for partnering with me on this post.

Santiago

17,438 views • 2 months ago