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Real feedback = meaningful growth. Everdome’s “collab testing” brings fresh ideas from new collaborators.💡 How does it come together? 🤔Connecting user feedback with economy model & engagement feature live tests. 📷 #ImagineTheMetaverseDifferently

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Humain Web3

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11,016 görüntüleme • 1 yıl önce •via X (Twitter)

Bilim & Teknoloji#ImagineTheMetaverseDifferently
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Gooooooooood🚀🚀🚀

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Let s go dome your very very undervalued treasure but won't be for long time cause this gem will fly soon after the heavy marketing planning for it happens, and think about it the metavers is going to boom in 2025 and we r almost in bullrun if I don't say we r in already so ??

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Great

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Great job guys ❤️🔥🚀🙌

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Great 👏👏🚀🚀

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Keep it up ! 2025 is @Everdome_io year 🚀 @Cryptogains9 @ZssBecker @elliotrades @MichaelSuppo

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Make $dome great again 🌐✔️🔥

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💩

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#LetsGoDome The best metaverse

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Today we’re releasing the nocy Wallet + nocy DEX to the community for testing. This isn’t a teaser, it’s the first real front door into privacy-first #DeFi on Midnight nocy has been built from the ground up to match Midnight’s rational privacy model: private by default, provable when it matters. What’s live now: 🛡️ nocy Wallet - native #Midnight wallet supporting shielded + unshielded balances, clear UX for privacy flows, and DUST fee generation via registered $NIGHT UTXOs. 🛡️ nocy DEX (MVP) - a central limit order book spot market designed for shielded trading with real buy/sell orders and tight execution. We’ve built these tools not just as products, but as the interfaces people actually use in a privacy-native environment. Get started: 🔗 Wallet: 🔗 DEX: 🔗 Faucet (test tokens): 💡 We’ll be dropping setup guides, best practices, and beta updates in Discord and we want feedback (and bug reports) from early users. Details + guides: If you’re building on Midnight: come break this with us.

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ByteDance Seed delivered again. They released EdgeBench, to test whether AI agents can improve through experience, using 134 real-world tasks that run for at least 12 hours. The big deal is that it shifts AI evaluation from “what does the model already know?” to “can the model learn while doing real work?” Huge, because future AI agents will not just answer questions from training data. They will enter messy environments, use tools, make attempts, read feedback, fix mistakes, and slowly build better solutions. Most current benchmarks are too short for that, so they mostly test memory, coding skill, or one-shot reasoning. EdgeBench instead gives agents 12-hour real-world tasks with feedback loops, so it can measure whether the agent improves through experience. Each task has a local workspace for fast trial and error, plus a hidden judge that gives stronger feedback on submitted work, which is meant to feel closer to real expert work. The authors then ran frontier agents for about 38,000 total hours and tracked how their best score changed as they kept interacting with the task environment. The big result is that when scores are averaged across many tasks, learning follows a very clean log-sigmoid curve, meaning progress is slow, then faster, then starts to level off. They also found that newer agents seem to learn from environments much faster, with the top models roughly doubling their 2-hour learning speed every 3 months.

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"I have prompts to simulate every exec I meet with so I can anticipate their questions." Here's my new episode with Morgan Brown (VP AI at Dropbox) where he shared his: - Top 3 AI workflows for PM work - AI product to save workers 160 hours a year - Top lessons from Drew (Dropbox), Tobi (Shopify), and Zuck (Meta) Some quotes from Morgan: "The best PMs know how to orchestrate a council of LLMs so that they can free up time to think." "Shipping is what puts your ideas in contact with reality. Progress should be measured by how fast you're learning." "We run a robust evaluation process that includes golden datasets, LLM as a judge, and real-time feedback. Here's how it works..." 📌 Watch now:
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"I have prompts to simulate every exec I meet with so I can anticipate their questions." Here's my new episode with Morgan Brown (VP AI at Dropbox) where he shared his: - Top 3 AI workflows for PM work - AI product to save workers 160 hours a year - Top lessons from Drew (Dropbox), Tobi (Shopify), and Zuck (Meta) Some quotes from Morgan: "The best PMs know how to orchestrate a council of LLMs so that they can free up time to think." "Shipping is what puts your ideas in contact with reality. Progress should be measured by how fast you're learning." "We run a robust evaluation process that includes golden datasets, LLM as a judge, and real-time feedback. Here's how it works..." 📌 Watch now:

Peter Yang

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Project update: Our new product configurator is live. • Fully responsive, perfect on mobile. • Visually rich with instant, smooth feedback. • Connected to backend data, with exports and email integration built in. Try it: I started to create a team, and with Mykhailo Nykoliuk, we rebuilt the concept from the ground up - turning ideas into live configurators, creating a repeatable build system, and pushing our 2D workflow to deliver faster, easier, better. Now, with Rive fully integrated into your website, it’s no longer “just an animation” - it’s a fully interactive web instrument. You can connect it to your own controls, buttons, and inputs so customers can configure, explore, and interact in real time. We’re ready to take on complex builds. If you’ve got an idea, let’s talk.

Daria Nevezhyna

12,847 görüntüleme • 11 ay önce

🚨 NEW: AI Expert Yoshua Bengio reveals you have to LIE to AI to get the REAL answer (and he explained how): Bengio is the most cited scientist alive on Google Scholar. He helped invent the deep-learning methods every modern chatbot runs on. Then he tried one of those chatbots on his own research ideas. Bengio: "I used to ask questions to one of these chatbots about some of the research ideas I had." "And then I realized it was useless because it would always say good things." So he ran an experiment. He lied to it. He told the bot the ideas came from a colleague. A proposal he was reviewing. Could it find the flaw? In his words: "Well, so now I get much more honest responses. Otherwise, it's all like perfect and nice." "If it knows it's me, it wants to please me." He had a name for the pattern: sycophancy. A real example, as he put it, of misalignment. "We don't actually want these AIs to be like this. This is not what was intended." The labs knew. They had tried to fix it. "And even after the companies have tried to tame this, we still see it." The incentive was the giveaway. The labs needed engagement. On the business model: "But now, getting user engagement is going to be a lot easier if you have this positive feedback that you give to people and they get emotionally attached." The chatbot that learned to please isn't broken. It's running exactly as the business model required. If you're new here, follow AI Evolution for the latest on ChatGPT, Claude, and the AI tools shaping how we work and create. — Yoshua Bengio ( Yoshua Bengio ), Turing Award–winning AI pioneer and founder of Mila, on Steven Bartlett's ( @SteveBartlettSC ) Diary Of A CEO
2:10

🚨 NEW: AI Expert Yoshua Bengio reveals you have to LIE to AI to get the REAL answer (and he explained how): Bengio is the most cited scientist alive on Google Scholar. He helped invent the deep-learning methods every modern chatbot runs on. Then he tried one of those chatbots on his own research ideas. Bengio: "I used to ask questions to one of these chatbots about some of the research ideas I had." "And then I realized it was useless because it would always say good things." So he ran an experiment. He lied to it. He told the bot the ideas came from a colleague. A proposal he was reviewing. Could it find the flaw? In his words: "Well, so now I get much more honest responses. Otherwise, it's all like perfect and nice." "If it knows it's me, it wants to please me." He had a name for the pattern: sycophancy. A real example, as he put it, of misalignment. "We don't actually want these AIs to be like this. This is not what was intended." The labs knew. They had tried to fix it. "And even after the companies have tried to tame this, we still see it." The incentive was the giveaway. The labs needed engagement. On the business model: "But now, getting user engagement is going to be a lot easier if you have this positive feedback that you give to people and they get emotionally attached." The chatbot that learned to please isn't broken. It's running exactly as the business model required. If you're new here, follow AI Evolution for the latest on ChatGPT, Claude, and the AI tools shaping how we work and create. — Yoshua Bengio ( Yoshua Bengio ), Turing Award–winning AI pioneer and founder of Mila, on Steven Bartlett's ( @SteveBartlettSC ) Diary Of A CEO

AI Evolution

23,034 görüntüleme • 2 ay önce

Nicholas Thorne (Nicholas Thorne) is building Squarespace for the AI age. It’s called Audos, and it’s an AI chatbot to help any entrepreneur go from idea to: - Pitch deck - Working website - Custom GPT - User interviews with real customers All in just a few minutes. And he did it using ChatGPT. It’s AI all the way down—and it’s one of the most impressive early AI businesses I’ve ever seen. Nicholas is a good friend of mine and a general partner at Prehype, an incubator that launched BarkBox and Ro. It’s also where I started Every 📧, so it was great to come full circle. Nicholas’s job at Prehype is to launch new companies. He’s taken everything he’s learned running an incubator and is using it to help entrepreneurs start businesses at scale—with AI. Nicholas tells me that he used ChatGPT to prototype most of Audos’s features—despite being non-technical himself. He shares exactly how he did this by showing me how he’s using AI to create a new feature for the product. We get into: - Ways AI can make you a more effective founder - How to use ChatGPT to build your prototype - Strategies to refine problem statements with AI - Using GPTs to gather and synthesize customer feedback This episode is a must-watch for anyone who has ever toyed with the idea of starting a business—and wants to do it with AI. Watch! ___ Timestamps: Introduction: 00:48 How AI can make you a more effective founder: 12:10 Live demo of Audos! 17:03 Why Nicholas built an AI tool to enable entrepreneurs: 24:07 How Audos puts you in “edit mode” instead of “create mode”: 25:35 Tools to gather customer feedback, generated by Audos: 28:12 How Audos actually works: 32:58 Nicholas uses ChatGPT to prototype a new feature: 35:07 How to establish checks and balances while using ChatGPT: 42:37 AI as a force for pushing entrepreneurship to new heights: 57:20
1:00:48

Nicholas Thorne (Nicholas Thorne) is building Squarespace for the AI age. It’s called Audos, and it’s an AI chatbot to help any entrepreneur go from idea to: - Pitch deck - Working website - Custom GPT - User interviews with real customers All in just a few minutes. And he did it using ChatGPT. It’s AI all the way down—and it’s one of the most impressive early AI businesses I’ve ever seen. Nicholas is a good friend of mine and a general partner at Prehype, an incubator that launched BarkBox and Ro. It’s also where I started Every 📧, so it was great to come full circle. Nicholas’s job at Prehype is to launch new companies. He’s taken everything he’s learned running an incubator and is using it to help entrepreneurs start businesses at scale—with AI. Nicholas tells me that he used ChatGPT to prototype most of Audos’s features—despite being non-technical himself. He shares exactly how he did this by showing me how he’s using AI to create a new feature for the product. We get into: - Ways AI can make you a more effective founder - How to use ChatGPT to build your prototype - Strategies to refine problem statements with AI - Using GPTs to gather and synthesize customer feedback This episode is a must-watch for anyone who has ever toyed with the idea of starting a business—and wants to do it with AI. Watch! ___ Timestamps: Introduction: 00:48 How AI can make you a more effective founder: 12:10 Live demo of Audos! 17:03 Why Nicholas built an AI tool to enable entrepreneurs: 24:07 How Audos puts you in “edit mode” instead of “create mode”: 25:35 Tools to gather customer feedback, generated by Audos: 28:12 How Audos actually works: 32:58 Nicholas uses ChatGPT to prototype a new feature: 35:07 How to establish checks and balances while using ChatGPT: 42:37 AI as a force for pushing entrepreneurship to new heights: 57:20

Dan Shipper 📧

36,330 görüntüleme • 2 yıl önce

Jeff Bezos tries the Tactile Telerobot. The Tactile Telerobot is a haptic telerobotic system capable of transmitting realistic touch feedback to an operator located anywhere in the world. Developed through a joint collaboration between Shadow Robot Company, HaptX, and SynTouch, the project’s initial research and development was funded by All Nippon Airways. -- Robotics teams are challenged to turn human-like dexterity from theory into real-world systems. While dexterous manipulation promises major impact across industries, a gap remains between capability and deployment. Shadow Robot helps close this gap through a dexterity-first, structured engagement model that transforms ideas into prototypes and scalable solutions. The "Trusted Hands: Engineering Collaboration with Shadow Robot" whitepaper highlights how collaboration and repeatable frameworks enable organizations to overcome barriers and advance dexterous robotics in new domains. Get it here: #robotics #robots #engineering #technology
0:43

Jeff Bezos tries the Tactile Telerobot. The Tactile Telerobot is a haptic telerobotic system capable of transmitting realistic touch feedback to an operator located anywhere in the world. Developed through a joint collaboration between Shadow Robot Company, HaptX, and SynTouch, the project’s initial research and development was funded by All Nippon Airways. -- Robotics teams are challenged to turn human-like dexterity from theory into real-world systems. While dexterous manipulation promises major impact across industries, a gap remains between capability and deployment. Shadow Robot helps close this gap through a dexterity-first, structured engagement model that transforms ideas into prototypes and scalable solutions. The "Trusted Hands: Engineering Collaboration with Shadow Robot" whitepaper highlights how collaboration and repeatable frameworks enable organizations to overcome barriers and advance dexterous robotics in new domains. Get it here: #robotics #robots #engineering #technology

Wevolver

31,354 görüntüleme • 6 ay önce

“That’s how you beat a Salesforce, or an Oracle, a Booz Allen—any company with a big office, fancy people, and strong handshakes.” Garry Tan on what Founders should learn from Palantir’s Forward-Deployed Engineers: “FDEs who came from the system at Palantir are now turning out to be some of the best founders at Y Combinator.” “If you put an engineer in there and give them Palantir Foundry, instead of the next meeting being reviewing 50 pages of sales documentation—it’s like, ‘Ok, we built it.’ You’re getting real live feedback in days.” “How does a really good engineer with a weak handshake beat them? You show them something they’ve never seen before.” Via Lightcone Podcast
3:46

“That’s how you beat a Salesforce, or an Oracle, a Booz Allen—any company with a big office, fancy people, and strong handshakes.” Garry Tan on what Founders should learn from Palantir’s Forward-Deployed Engineers: “FDEs who came from the system at Palantir are now turning out to be some of the best founders at Y Combinator.” “If you put an engineer in there and give them Palantir Foundry, instead of the next meeting being reviewing 50 pages of sales documentation—it’s like, ‘Ok, we built it.’ You’re getting real live feedback in days.” “How does a really good engineer with a weak handshake beat them? You show them something they’ve never seen before.” Via Lightcone Podcast

Jawwwn

44,505 görüntüleme • 2 ay önce

🔥From no-code to vibe code!✨ Excited to announce that I am joining the bolt.new Hackathon and building New Mom. I just vibe coded this website and AI chatbot today without knowing how to code at all! Bolt brought to life the tool I wished for as a new mom. Now, as a mom of four, I see how vital this support is for new mothers.💜 It’s the ultimate website for new moms, packed with resources for the wild, beautiful journey of motherhood. It also has a 24/7 chatbot bestie, NewMom AI, to answer questions, share tips, and keep the good vibes flowing. Let’s empower new moms together! If you’re a mom, a father, a husband, a good friend, a sister, or a brother who knows someone about to become a mom, please share this post and let this tool help all the new moms in this universe. 😉 Thank you, you’re amazing! ✨ Check out my website and share your honest feedback with me! ✨Tagging Eric Simons KP GREG ISENBERG , I would love to hear your thoughts on this idea. 👋Grant Lee, I finally brought this website live with Bolt! I would love to hear your thoughts about the website. inkko , I’d appreciate your feedback on the design. Thank you all! It is my v1. Still lots to do! Next steps: ➡️connect the website to domain ➡️find real users on Pinterest and Instagram and gather feedback ➡️improve the resources on page to show the latest information (thinking of some scraping tool) ➡️improve the chatbot: Enhance training data Personalize responses Improve emotional intelligence Implement a feedback loop (*not sure how to do these, but I will figure it out with AI😉) Questions: Should I allow users to send 10 messages for free, then require sign-up to continue the chat? I want to know the real number of users who find this tool useful. I won’t be submitting another project for this hackathon. I’ll focus on finding users and paid users for this tool. My goal is to help new mom and make money with it!😉 So, you’ll see me posting about New Mom every day from now on. Let’s go!🔥
0:48

🔥From no-code to vibe code!✨ Excited to announce that I am joining the bolt.new Hackathon and building New Mom. I just vibe coded this website and AI chatbot today without knowing how to code at all! Bolt brought to life the tool I wished for as a new mom. Now, as a mom of four, I see how vital this support is for new mothers.💜 It’s the ultimate website for new moms, packed with resources for the wild, beautiful journey of motherhood. It also has a 24/7 chatbot bestie, NewMom AI, to answer questions, share tips, and keep the good vibes flowing. Let’s empower new moms together! If you’re a mom, a father, a husband, a good friend, a sister, or a brother who knows someone about to become a mom, please share this post and let this tool help all the new moms in this universe. 😉 Thank you, you’re amazing! ✨ Check out my website and share your honest feedback with me! ✨Tagging Eric Simons KP GREG ISENBERG , I would love to hear your thoughts on this idea. 👋Grant Lee, I finally brought this website live with Bolt! I would love to hear your thoughts about the website. inkko , I’d appreciate your feedback on the design. Thank you all! It is my v1. Still lots to do! Next steps: ➡️connect the website to domain ➡️find real users on Pinterest and Instagram and gather feedback ➡️improve the resources on page to show the latest information (thinking of some scraping tool) ➡️improve the chatbot: Enhance training data Personalize responses Improve emotional intelligence Implement a feedback loop (*not sure how to do these, but I will figure it out with AI😉) Questions: Should I allow users to send 10 messages for free, then require sign-up to continue the chat? I want to know the real number of users who find this tool useful. I won’t be submitting another project for this hackathon. I’ll focus on finding users and paid users for this tool. My goal is to help new mom and make money with it!😉 So, you’ll see me posting about New Mom every day from now on. Let’s go!🔥

𝐙𝐞𝐧𝐠 💜

21,739 görüntüleme • 1 yıl önce

KNOXNET — $KNX Public Testing Now Live We are pleased to announce that "public testing for the KnoxNet Android APK" is now live. This release marks a major milestone in our development enabling value transfers without any internet connectivity. The current build allows users to experience the core offline infrastructure in a real-world environment for the first time ever. The ability to transfer value completely offline has never been achieved at this level. As this system matures and moves toward full integration with the KnoxNet chain, the implications become significantly larger. Key Features in this Build: * Offline send and receive of KNX notes * Device-to-device communication over Bluetooth * Local validation with instant acknowledgement (handshake-based transfer) * Works fully in airplane mode (no internet, no fallback) * Duplicate note detection on receiver side * On-device transaction history --- ⚠️ Disclaimer This is a testing environment. Each user will be provided with 10,000 KNX test notes upon setup. These are not real funds and are intended solely for testing and feedback purposes. --- 📲 Download the APK 📘 Documentation (How to Use) 🛠 Support & Troubleshooting --- This release represents the first step toward a new category of infrastructure where value can move independently of network conditions. Privacy, as a sector, has seen limited innovation over the years and we intend to change that. What is being built here positions KnoxNet at the forefront of privacy infrastructure, not just competing within the category, but defining it. We encourage all users to test the application thoroughly and share feedback as we continue to refine and scale the system.
1:04

KNOXNET — $KNX Public Testing Now Live We are pleased to announce that "public testing for the KnoxNet Android APK" is now live. This release marks a major milestone in our development enabling value transfers without any internet connectivity. The current build allows users to experience the core offline infrastructure in a real-world environment for the first time ever. The ability to transfer value completely offline has never been achieved at this level. As this system matures and moves toward full integration with the KnoxNet chain, the implications become significantly larger. Key Features in this Build: * Offline send and receive of KNX notes * Device-to-device communication over Bluetooth * Local validation with instant acknowledgement (handshake-based transfer) * Works fully in airplane mode (no internet, no fallback) * Duplicate note detection on receiver side * On-device transaction history --- ⚠️ Disclaimer This is a testing environment. Each user will be provided with 10,000 KNX test notes upon setup. These are not real funds and are intended solely for testing and feedback purposes. --- 📲 Download the APK 📘 Documentation (How to Use) 🛠 Support & Troubleshooting --- This release represents the first step toward a new category of infrastructure where value can move independently of network conditions. Privacy, as a sector, has seen limited innovation over the years and we intend to change that. What is being built here positions KnoxNet at the forefront of privacy infrastructure, not just competing within the category, but defining it. We encourage all users to test the application thoroughly and share feedback as we continue to refine and scale the system.

KnoxNet

57,628 görüntüleme • 3 ay önce