Загрузка видео...

Не удалось загрузить видео

На главную

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

11,016 просмотров • 1 год назад •via X (Twitter)

Комментарии: 10

Фото профиля らいこねん
らいこねん1 год назад

Gooooooooood🚀🚀🚀

Фото профиля Aminox
Aminox1 год назад

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 ??

Фото профиля Art of Vaikuntha
Art of Vaikuntha1 год назад

Great

Фото профиля Rob
Rob1 год назад

Great job guys ❤️🔥🚀🙌

Фото профиля Pawel
Pawel1 год назад

Great 👏👏🚀🚀

Фото профиля Talal A 🔮
Talal A 🔮1 год назад

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

Фото профиля paulorochabarcelos
paulorochabarcelos1 год назад

Make $dome great again 🌐✔️🔥

Фото профиля brus
brus1 год назад

💩

Фото профиля Paulo Corban
Paulo Corban1 год назад

#LetsGoDome The best metaverse

Фото профиля hhhhh
hhhhh1 год назад

👍🏻

Похожие видео

PMs: AI is coming for your job! …but not in the way you think.... I recently posted a demo of Operator using to run an entire PM workflow in just 5 mins—all while I was in the shower. Here’s what it did: 1️⃣ Analyzed feedback from thousands of Slack users to surface prioritized feature requests and complaints. 2️⃣ Added insights to the roadmap. 3️⃣ Wrote a PRD about Slack Notifications. 4️⃣ Created a user story with acceptance criteria and assigned it to an engineer in Linear. The reactions were fascinating... 🔹 Thousands of PMs bookmarked the post—determined to figure out how to do this themselves (or, let’s be real, to avoid getting replaced by AI). 🔹 Some yelled that this isn’t what PMs do—claiming AI analysis of user feedback is just “crowdsourcing what to build/fix next.” 🔹 But many more were excited about what they could achieve when AI handles the busywork—PRDs, user stories, and all—so they can focus on high-impact strategy and product craft. So yeah, AI is coming for your job 😉 But it’s coming to: ✅ Help you do it better. ✅ Deliver products that evolve faster to meet real user needs. ✅ Make sure you’re not just overdosing on podcasts while ignoring user feedback. As both a product builder and a product user, I’m excited for what’s ahead 🚀 Make sure to turn on the sound to hear the AI-generated voiceover narrating what the AI agent is doing in the demo 🔊

Yana Welinder

24,027 просмотров • 1 год назад

PhD Students – How to automatically identify 90% of the issues in your research paper before you submit it to a journal? This is possible through manual or automated paper review. First, let’s understand the following. 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐚 𝐩𝐚𝐩𝐞𝐫 𝐫𝐞𝐯𝐢𝐞𝐰? Paper review is a process in which subject matter experts evaluate your paper based on the following criteria: 1. Significance – Is this research important? 2. Novelty – Is this research new? 3. Methodology – Is this research carried out in the correct way? 4. Verifiability – Can other researchers verify this research? 5. Presentation – Is the research presented in the right way? 𝐖𝐡𝐲 𝐭𝐨 𝐡𝐚𝐯𝐞 𝐲𝐨𝐮𝐫 𝐩𝐚𝐩𝐞𝐫 𝐫𝐞𝐯𝐢𝐞𝐰𝐞𝐝 𝐛𝐞𝐟𝐨𝐫𝐞 𝐬𝐮𝐛𝐦𝐢𝐬𝐬𝐢𝐨𝐧? ➟ Identify the critical issues in your paper ➟ Fix those issues to increase the chances of your paper acceptance 𝐇𝐨𝐰 𝐭𝐨 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞 “𝐬𝐞𝐥𝐟-𝐫𝐞𝐯𝐢𝐞𝐰” 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐩𝐚𝐩𝐞𝐫? Paperpal just launched an amazing feature – AI Review. Using this feature, you can get instant self-feedback. This feature will help you in the following ways. ➝ Check for gaps in your logic ➝ Get feedback on the structure and flow of your writing ➝ Review your research questions ➝ Identify opportunities to strengthen your paper ➝ Increase the chances of your paper acceptance Here is a step-by-step process for using AI Review feature. Step 1: Go to and login. Step 2: Open an existing document or make a new document Step 3: Go to the right-side bar and click on checks | AI Review. Step 4: For this feature to work there should be more than 150 words. Step 5: Copy and paste your paper. Step 6: Now go to the right side and check the prompts Step 7: With these prompts, you will evaluate your paper. Step 8: You will find various prompts e.g., suggest writing feedback, check flow and structure etc. Step 9: You can select a prompt from the existing prompts or write your custom prompt and execute Step 10: Paperpal will generate feedback as per the prompt. Step 11: Read through the feedback and save it for further use. Use other specific prompts for tailored feedback. Step 12: This way you can evaluate various aspects of your paper yourself. This is a very customized and efficient way of automatically reviewing your paper. You can also go one step further to work on the feedback and improve your paper based on suggestions. Please note that AI Review feature does not replace human or expert reviewers in any way. This feature only aims to provide you with quick self-feedback. Try the AI Review feature of Paperpal. Paperpal link:

Faheem Ullah

15,270 просмотров • 1 год назад

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.

Rohan Paul

14,309 просмотров • 1 месяц назад

🚨 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 просмотров • 2 месяцев назад

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 просмотров • 2 лет назад

🔥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 просмотров • 1 год назад

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 просмотров • 3 месяцев назад