Video yükleniyor...

Video Yüklenemedi

Bu video yüklenirken bir sorun oluştu. Bu geçici bir ağ sorunundan kaynaklanıyor olabilir veya video kullanılamıyor olabilir.

Ana Sayfaya Dön

instant-feedback SQL editing aka "query-as-you-type" uses DuckDB's AST, duckdb-wasm for local-first caching, and MotherDuck as the backend Still early, but should enable arbitrary scale and still retain a near real-time feel while writing ad hoc queries! Bye bye run button 👋

Hamilton Ulmer

3,727 subscribers

58,215 görüntüleme • 2 yıl önce •via X (Twitter)

Bilim & Teknoloji Eğitim Sağlık & İyilik

Anya Rossi• Live Now

Private livecam show

11 Yorum

Hamilton Ulmer profil fotoğrafı

Hamilton Ulmer2 yıl önce

an interesting consequence of this instant-feedback SQL feature is when the LLM-powered inline codegen suggests an edit, you instantly see that edit's effect on the result set enabling you to instantly verify if it works as expected.

Taro L. Saito profil fotoğrafı

Taro L. Saito2 yıl önce

That's an exciting approach for interactive query editing. I'm exploring a similar direction based on DuckDB

Hamilton Ulmer profil fotoğrafı

Hamilton Ulmer2 yıl önce

wvlet is very cool! Thanks for sharing

William Wolf profil fotoğrafı

William Wolf2 yıl önce

So sexy

Hamilton Ulmer profil fotoğrafı

Hamilton Ulmer2 yıl önce

first time anyone has used that word for sql

jeff profil fotoğrafı

jeff2 yıl önce

very cool

Hamilton Ulmer profil fotoğrafı

Hamilton Ulmer2 yıl önce

Thanks Jeff!

harry_wood profil fotoğrafı

harry_wood2 yıl önce

Hope it doesn't run DELETE queries before you've finished typing 😆

Mats profil fotoğrafı

Mats2 yıl önce

@bantg This is guuud

archie 🦋 profil fotoğrafı

archie 🦋2 yıl önce

ugh i need to start writing duckdb `from` first

Hamilton Ulmer profil fotoğrafı

Hamilton Ulmer2 yıl önce

you know, you actually don't have to in this case, but it'd obviously be much better for your QOL!

Benzer Videolar

Restyling games is much harder than generating a video. Games can’t unintentionally “reset” at every frame: • Your character should stay the same when the camera moves • Damage, lighting, and objects must persist • A room should look the same when you look away and look back And it all has to run in real-time. Reverie v0.1.0 is our first stab at a real-time generative model for playable worlds. Below is a comparison with ours (left) with MirageLSD v2 (right). It’s early and far from perfect but watch what stays consistent as the video continues. 🧵 Prompts below (GPT-5.2).

Restyling games is much harder than generating a video. Games can’t unintentionally “reset” at every frame: • Your character should stay the same when the camera moves • Damage, lighting, and objects must persist • A room should look the same when you look away and look back And it all has to run in real-time. Reverie v0.1.0 is our first stab at a real-time generative model for playable worlds. Below is a comparison with ours (left) with MirageLSD v2 (right). It’s early and far from perfect but watch what stays consistent as the video continues. 🧵 Prompts below (GPT-5.2).

Sharon Lee

30,737 görüntüleme • 9 ay önce

Dear Friend, I wrote this book for you. For the past year, I have labored to create a product that will help you learn and master SQL. I have been there. I have felt the frustration of trying to learn SQL and not knowing where to begin. I have lived through the struggle of setting up a platform to run SQL queries. Most platforms require sign-ups and logins that create a headache for learners. I also know the challenge of finding proper SQL exercises that mirror the real-world experience of a data analyst. Yes, I have been in your shoes. That’s why I created SQL Essentials for Data Analysis: A 50-Day Hands-on Challenge Book (Go From Beginner to Pro). Yes, to give you a clear, practical path from beginner to confident SQL user. ✅Why SQL Still Matters You may be wondering if SQL still matters in 2025. The answer: it has never mattered more. SQL is the lingua franca of data. Data still lives in databases, and the only language it truly understands is SQL. Think about it, even in Python, SQL is there. You’ve probably heard about the powerful pandas library. Guess what? It also has some SQL. And don’t get me started on BigQuery, Tableau, Power BI, and Databricks; the answer is the same: they all rely on SQL. SQL is the big shadow that hovers over everything data. This is why learning SQL is a must for data analysts, engineers, scientists, and anyone working with data. SQL connects everything: exploration, extraction, transformation, modeling, validation, and reporting. ✅Why I Wrote This Book Dear friend, I wanted to create a resource that gives you everything you need to learn SQL for data analysis. Quite often, resources are scattered across different places. You might learn theory in one place, search for datasets in another, and hunt for questions somewhere else. More often than not, the only place you can tackle SQL challenges is online. But online platforms usually focus on syntax and don’t reflect the messiness of real-world data. I wrote this book to give you the best of both worlds: theory and practice. I don’t want you to be worrying about where to find resources. I want you to focus only on learning SQL. If you are new to SQL or need a refresher on the fundamentals, Part 1 of the book has you covered. If you are looking for practice, Part 2 is 49 days of hands-on SQL challenges designed to mirror real-world tasks. Each day in the book is designed to feel like a mini project, rather than isolated exercises. Take Day 15: Standardize Climbers Data, for example: On this day, you’re not just writing a single query; you’re working with a dataset from start to finish. By combining these tasks, you experience a full data preprocessing workflow, just like a real project. You get to practice loading, transforming, cleaning, and validating data, all in one challenge. This approach makes every day a hands-on project, not just an isolated query. You’re learning how SQL is used in real-world scenarios, not just memorizing syntax. By the end of each day, you’ve solved a problem that feels meaningful and practical: yes, something that mirrors data analysts’ and engineers’ work in real life. In this book I use SQLite. I chose SQLite because it’s simple, lightweight, and runs on any system without complicated setups or cloud accounts. You don’t need to worry about complex configurations. SQLite allows you to focus entirely on learning SQL concepts, queries, and logic without distractions. You will just have to import it. I also structured the book for use in Jupyter or Google Colab notebooks. These are playgrounds for data analysts, engineers, and scientists. These environments are interactive and flexible. They let you run queries, visualize results, and experiment in real time. Using notebooks ensures that you can practice SQL while documenting your work and learning at your own pace, all in one place. No need for sign-ups. ✅Why 50 Days? I chose 50 days intentionally. Learning SQL isn’t a sprint; it’s a habit. You can’t truly master a language by cramming a few queries in one sitting. 50 days creates a commitment. You attach yourself to a goal, a tangible outcome. Every day is a small win, a step forward, and by the end of the journey, you’ve transformed your understanding of SQL. By spreading the learning over 50 days, you build momentum, consistency, and confidence. Think of it like training for a marathon. You don’t run 26 miles on the first day. You run a little each day, gradually building strength, endurance, and skill. By the end of the 50 days, you’ll have tackled a wide range of SQL tasks: from simple filtering to window functions, date operations, joins, and performance tuning. You’ll have not just learned SQL but truly internalized it. The goal isn’t to overwhelm you. It’s to give you a structured, achievable path that fits into your daily routine, so learning SQL becomes natural, steady, and rewarding. Even if you don’t finish within 50 days, the 50-day structure gives you a rhythm, a habit, and a sense of accomplishment. The kind of outcome that sticks long after the book is finished. In summary, I wrote the book to address these pain points: 🔶Not knowing where to start: The book gives you a clear roadmap that guides you day by day. 🔶Too much theory, not enough practice: Reading about SQL is not the same as doing SQL. This book includes hands-on challenges that mirror real-world scenarios, so you’re not just memorizing commands; you’re learning to think like a data analyst. 🔶Complex setup: Many learners get stuck setting up databases or configuring environments. You will not worry about complex setups; everything runs in SQLite3 inside Jupyter Notebook, so you start immediately. 🔶Disconnected learning: The challenges mirror real-world analytics problems. Every day here is like a mini project, giving you the experience of exploring, cleaning, transforming, and analyzing data ✅What I ask of You I wrote this book for you because I want you to succeed, but books alone don’t create mastery; your effort does. I have provided the tools. All I ask is that you show up every day. Even if it’s just 20–30 minutes, take the challenge seriously. Tackle the problems, experiment with your queries, make mistakes, and fix them. That’s how real learning happens. I also ask that you trust the process. The book is designed to guide you from beginner to confident SQL user, step by step. Some days will feel "easy" and others "hard." Stay the course, and by the end, you’ll see how all the pieces fit together. Finally, I ask that you bring curiosity and persistence. SQL is a language of logic and structure, but it’s also a language of insight. The more you explore, the more patterns you’ll discover, and the more confident you’ll become in solving real-world problems. Don’t be scared to experiment. If you commit to this, I promise you’ll finish 50 days with more than just knowledge. You’ll have the skills, confidence, and habit of thinking like a data analyst. To make starting even easier, as a subscriber to this newsletter, I’m giving you an exclusive 35% launch discount. You can grab your copy today and start the 50-day journey at a reduced price. Grab SQL Essentials for Data Analysis here: I can’t wait to hear about your progress, the insights you uncover, and the confidence you gain along the way. If you have any questions, feel free to reach out to me or post them in the comments section. Let’s start this journey together: one challenge, one query, one day at a time. Warmly, Benjamin PS. Please repost.

Dear Friend, I wrote this book for you. For the past year, I have labored to create a product that will help you learn and master SQL. I have been there. I have felt the frustration of trying to learn SQL and not knowing where to begin. I have lived through the struggle of setting up a platform to run SQL queries. Most platforms require sign-ups and logins that create a headache for learners. I also know the challenge of finding proper SQL exercises that mirror the real-world experience of a data analyst. Yes, I have been in your shoes. That’s why I created SQL Essentials for Data Analysis: A 50-Day Hands-on Challenge Book (Go From Beginner to Pro). Yes, to give you a clear, practical path from beginner to confident SQL user. ✅Why SQL Still Matters You may be wondering if SQL still matters in 2025. The answer: it has never mattered more. SQL is the lingua franca of data. Data still lives in databases, and the only language it truly understands is SQL. Think about it, even in Python, SQL is there. You’ve probably heard about the powerful pandas library. Guess what? It also has some SQL. And don’t get me started on BigQuery, Tableau, Power BI, and Databricks; the answer is the same: they all rely on SQL. SQL is the big shadow that hovers over everything data. This is why learning SQL is a must for data analysts, engineers, scientists, and anyone working with data. SQL connects everything: exploration, extraction, transformation, modeling, validation, and reporting. ✅Why I Wrote This Book Dear friend, I wanted to create a resource that gives you everything you need to learn SQL for data analysis. Quite often, resources are scattered across different places. You might learn theory in one place, search for datasets in another, and hunt for questions somewhere else. More often than not, the only place you can tackle SQL challenges is online. But online platforms usually focus on syntax and don’t reflect the messiness of real-world data. I wrote this book to give you the best of both worlds: theory and practice. I don’t want you to be worrying about where to find resources. I want you to focus only on learning SQL. If you are new to SQL or need a refresher on the fundamentals, Part 1 of the book has you covered. If you are looking for practice, Part 2 is 49 days of hands-on SQL challenges designed to mirror real-world tasks. Each day in the book is designed to feel like a mini project, rather than isolated exercises. Take Day 15: Standardize Climbers Data, for example: On this day, you’re not just writing a single query; you’re working with a dataset from start to finish. By combining these tasks, you experience a full data preprocessing workflow, just like a real project. You get to practice loading, transforming, cleaning, and validating data, all in one challenge. This approach makes every day a hands-on project, not just an isolated query. You’re learning how SQL is used in real-world scenarios, not just memorizing syntax. By the end of each day, you’ve solved a problem that feels meaningful and practical: yes, something that mirrors data analysts’ and engineers’ work in real life. In this book I use SQLite. I chose SQLite because it’s simple, lightweight, and runs on any system without complicated setups or cloud accounts. You don’t need to worry about complex configurations. SQLite allows you to focus entirely on learning SQL concepts, queries, and logic without distractions. You will just have to import it. I also structured the book for use in Jupyter or Google Colab notebooks. These are playgrounds for data analysts, engineers, and scientists. These environments are interactive and flexible. They let you run queries, visualize results, and experiment in real time. Using notebooks ensures that you can practice SQL while documenting your work and learning at your own pace, all in one place. No need for sign-ups. ✅Why 50 Days? I chose 50 days intentionally. Learning SQL isn’t a sprint; it’s a habit. You can’t truly master a language by cramming a few queries in one sitting. 50 days creates a commitment. You attach yourself to a goal, a tangible outcome. Every day is a small win, a step forward, and by the end of the journey, you’ve transformed your understanding of SQL. By spreading the learning over 50 days, you build momentum, consistency, and confidence. Think of it like training for a marathon. You don’t run 26 miles on the first day. You run a little each day, gradually building strength, endurance, and skill. By the end of the 50 days, you’ll have tackled a wide range of SQL tasks: from simple filtering to window functions, date operations, joins, and performance tuning. You’ll have not just learned SQL but truly internalized it. The goal isn’t to overwhelm you. It’s to give you a structured, achievable path that fits into your daily routine, so learning SQL becomes natural, steady, and rewarding. Even if you don’t finish within 50 days, the 50-day structure gives you a rhythm, a habit, and a sense of accomplishment. The kind of outcome that sticks long after the book is finished. In summary, I wrote the book to address these pain points: 🔶Not knowing where to start: The book gives you a clear roadmap that guides you day by day. 🔶Too much theory, not enough practice: Reading about SQL is not the same as doing SQL. This book includes hands-on challenges that mirror real-world scenarios, so you’re not just memorizing commands; you’re learning to think like a data analyst. 🔶Complex setup: Many learners get stuck setting up databases or configuring environments. You will not worry about complex setups; everything runs in SQLite3 inside Jupyter Notebook, so you start immediately. 🔶Disconnected learning: The challenges mirror real-world analytics problems. Every day here is like a mini project, giving you the experience of exploring, cleaning, transforming, and analyzing data ✅What I ask of You I wrote this book for you because I want you to succeed, but books alone don’t create mastery; your effort does. I have provided the tools. All I ask is that you show up every day. Even if it’s just 20–30 minutes, take the challenge seriously. Tackle the problems, experiment with your queries, make mistakes, and fix them. That’s how real learning happens. I also ask that you trust the process. The book is designed to guide you from beginner to confident SQL user, step by step. Some days will feel "easy" and others "hard." Stay the course, and by the end, you’ll see how all the pieces fit together. Finally, I ask that you bring curiosity and persistence. SQL is a language of logic and structure, but it’s also a language of insight. The more you explore, the more patterns you’ll discover, and the more confident you’ll become in solving real-world problems. Don’t be scared to experiment. If you commit to this, I promise you’ll finish 50 days with more than just knowledge. You’ll have the skills, confidence, and habit of thinking like a data analyst. To make starting even easier, as a subscriber to this newsletter, I’m giving you an exclusive 35% launch discount. You can grab your copy today and start the 50-day journey at a reduced price. Grab SQL Essentials for Data Analysis here: I can’t wait to hear about your progress, the insights you uncover, and the confidence you gain along the way. If you have any questions, feel free to reach out to me or post them in the comments section. Let’s start this journey together: one challenge, one query, one day at a time. Warmly, Benjamin PS. Please repost.

Benjamin Bennett Alexander

18,584 görüntüleme • 10 ay önce

lando said he agrees with most of max’s comments about the new cars, but emphasized that he still enjoys driving and didn’t want to come out and complain on the first weekend back: “is it still a challenge and good fun out there? yeah. i'm certainly not gonna change my job for anything else. i still have fun and it's still the job that i love to do. but it's certainly very different. is it as pure and as beautiful to drive as last year or look as incredible? yeah, definitely not. and i agree with max on a lot of comments. probably most of the comments i agree with, but it's not that i don't have fun out there, you know. so there's two sides. i do agree with basically every other driver, because i think every other driver's made their comments pretty clear. i just didn't want to come out to the media and complain to everyone on the first weekend back. i want to still enjoy my time and just say what i feel, but i had fun last week. i've still been having fun out there now”

lando said he agrees with most of max’s comments about the new cars, but emphasized that he still enjoys driving and didn’t want to come out and complain on the first weekend back: “is it still a challenge and good fun out there? yeah. i'm certainly not gonna change my job for anything else. i still have fun and it's still the job that i love to do. but it's certainly very different. is it as pure and as beautiful to drive as last year or look as incredible? yeah, definitely not. and i agree with max on a lot of comments. probably most of the comments i agree with, but it's not that i don't have fun out there, you know. so there's two sides. i do agree with basically every other driver, because i think every other driver's made their comments pretty clear. i just didn't want to come out to the media and complain to everyone on the first weekend back. i want to still enjoy my time and just say what i feel, but i had fun last week. i've still been having fun out there now”

ray

139,915 görüntüleme • 7 ay önce

$🚨 Florida police tackled and broke a 15-year-old Black teen’s arm while searching for a white runaway they had just seen in a photo. Judah Everage was on his knees with his hands in the air when officers slammed him to the ground near Wickham Park in Melbourne. He wasn’t the person they were looking for, but they still fractured his elbow. Body camera footage shows he was complying the entire time. One officer has since resigned, but the others involved are still on the job. This is what happens when police treat Black kids as suspects first and ask questions later. Disgusting. Sources: Body camera footage / Local reporting$

🚨 Florida police tackled and broke a 15-year-old Black teen’s arm while searching for a white runaway they had just seen in a photo. Judah Everage was on his knees with his hands in the air when officers slammed him to the ground near Wickham Park in Melbourne. He wasn’t the person they were looking for, but they still fractured his elbow. Body camera footage shows he was complying the entire time. One officer has since resigned, but the others involved are still on the job. This is what happens when police treat Black kids as suspects first and ask questions later. Disgusting. Sources: Body camera footage / Local reporting

i Expose Racists & Pedos

834,179 görüntüleme • 2 ay önce

June 🇹🇼 Taiwan ✅ September 🇨🇳 Nanning ✅ October 🇯🇵 Osaka ✅ November 🇹🇭 Thailand ✅ Thank you for letting me stand there and cherish every one of your smiles, every Hi Bye, and the first time I shook your hand. Those moments may have been short, but they are deeply engraved in my heart, and even now, whenever I think about them, I still feel very moved. 2025 is a memory I will keep in my heart forever 🤍🥹✨ #beckysangels

June 🇹🇼 Taiwan ✅ September 🇨🇳 Nanning ✅ October 🇯🇵 Osaka ✅ November 🇹🇭 Thailand ✅ Thank you for letting me stand there and cherish every one of your smiles, every Hi Bye, and the first time I shook your hand. Those moments may have been short, but they are deeply engraved in my heart, and even now, whenever I think about them, I still feel very moved. 2025 is a memory I will keep in my heart forever 🤍🥹✨ #beckysangels

Becbec20

17,907 görüntüleme • 8 ay önce

🚀 GeoLibre just passed 5,000 stars on GitHub, in only two months! GeoLibre went public on May 27, and the community has already pushed it past 5,100 stars and 500+ forks. Thank you to everyone who starred, forked, filed issues, opened pull requests, and shared the project. For those just discovering it: GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. Key features of GeoLibre: - Runs anywhere: the same app ships as a native desktop app, a browser web app, a native Android app, and a Jupyter widget. - Local and private by default: load and analyze GeoJSON, GeoParquet, GeoPackage, Shapefile, COG, LiDAR, 3D Tiles, and more, right in the browser. - Powered by open source: built on MapLibre GL JS, DuckDB-WASM Spatial, Tauri, React, and TypeScript. - Spatial SQL in the browser: query your data with DuckDB Spatial, PostGIS via PGlite, and Apache Sedona. - Extensible: a growing plugin system for cloud data, federal web services, and custom tools. - Supports 12 planetary basemaps: Earth, Mars, the Moon, Mercury, Venus, and more. Two months in, we have already shipped 25 releases, the latest being v2.4.0. There is a lot more to come, and the best way to shape it is to jump in. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: If GeoLibre is useful to you, a star on GitHub and a share here go a long way. Thank you for an incredible first two months. #geospatial #opensource #MapLibre #GeoLibre

🚀 GeoLibre just passed 5,000 stars on GitHub, in only two months! GeoLibre went public on May 27, and the community has already pushed it past 5,100 stars and 500+ forks. Thank you to everyone who starred, forked, filed issues, opened pull requests, and shared the project. For those just discovering it: GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. Key features of GeoLibre: - Runs anywhere: the same app ships as a native desktop app, a browser web app, a native Android app, and a Jupyter widget. - Local and private by default: load and analyze GeoJSON, GeoParquet, GeoPackage, Shapefile, COG, LiDAR, 3D Tiles, and more, right in the browser. - Powered by open source: built on MapLibre GL JS, DuckDB-WASM Spatial, Tauri, React, and TypeScript. - Spatial SQL in the browser: query your data with DuckDB Spatial, PostGIS via PGlite, and Apache Sedona. - Extensible: a growing plugin system for cloud data, federal web services, and custom tools. - Supports 12 planetary basemaps: Earth, Mars, the Moon, Mercury, Venus, and more. Two months in, we have already shipped 25 releases, the latest being v2.4.0. There is a lot more to come, and the best way to shape it is to jump in. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: If GeoLibre is useful to you, a star on GitHub and a share here go a long way. Thank you for an incredible first two months. #geospatial #opensource #MapLibre #GeoLibre

Qiusheng Wu

94,705 görüntüleme • 1 ay önce

juhoon had to give martin a piggyback ride as a punishment and was like “he’s too tall” but still ended up carrying him anyway 😭😭 🦒 i think this is the first time i’ve been piggybacked since i was like five 🐢 i don’t think this is gonna work, his legs are too long 🦒 i feel like i’m the one who should be giving you a piggyback ride

juhoon had to give martin a piggyback ride as a punishment and was like “he’s too tall” but still ended up carrying him anyway 😭😭 🦒 i think this is the first time i’ve been piggybacked since i was like five 🐢 i don’t think this is gonna work, his legs are too long 🦒 i feel like i’m the one who should be giving you a piggyback ride

۟

83,507 görüntüleme • 3 ay önce

working theory for a new vibe code workflow: 1. create a proof of concept in v0 2. move to github and clone in a local repo 3. use as ref for agent planning 4. create a backend directory to test API plumbing 5. create a frontend directory to prototype iteratively this way you can repeatedly rip apart the frontend for ideation without worrying about breaking changes to the backend. i really like asking for an open ended "job to be done" (i.e. place a bet with a single tap) with 5-10 variations to feel. it's the modern day wireframing. it's still UI slop but i can get ideas in my head out faster and reveal design shortcomings before polishing or worrying about making components functional. and because the v0 prototype gets you to functional ai features and backend integration fastest, you have both a technical and conceptual reference to use in your agentic planning so your v1 is more predictable with minimal effort.

working theory for a new vibe code workflow: 1. create a proof of concept in v0 2. move to github and clone in a local repo 3. use as ref for agent planning 4. create a backend directory to test API plumbing 5. create a frontend directory to prototype iteratively this way you can repeatedly rip apart the frontend for ideation without worrying about breaking changes to the backend. i really like asking for an open ended "job to be done" (i.e. place a bet with a single tap) with 5-10 variations to feel. it's the modern day wireframing. it's still UI slop but i can get ideas in my head out faster and reveal design shortcomings before polishing or worrying about making components functional. and because the v0 prototype gets you to functional ai features and backend integration fastest, you have both a technical and conceptual reference to use in your agentic planning so your v1 is more predictable with minimal effort.

0xDesigner

14,952 görüntüleme • 8 ay önce

[ #DeepTalkwithLenaMiu ] 🧸: When I was younger, I couldn't handle anything. I’d get stressed, cry, become paranoid. It felt like the world was ending and I was so sad. But when I entered university, I developed another mindset like, "Why do I have to care? "Does caring or worrying make my life better?""No. It only makes it worse." So I stopped caring. Because there are so many other people who love me, so I stopped caring. 🦋: But you did. It was very hard for me to stop. You know what I mean? You're like, "As long as they don't do anything bad."But for me... How do you say it? Their words still matter to me. Their words still matter to me, so l choose to cut them out so that their words won't affect me. You get it? It sounds similar, but it's actually different. You just decide that their words don't affect you. But I cut them out by removing them. 🧸: But I'm the type who takes a long time to process. But once I cut someone out, it's bye-bye. After that I'm indifferent. They're just a fly to me. 🦋: That's impressive though. It's really impressive that you feel that way. #LenaMiu #MiuNatsha #lalinalena

[ #DeepTalkwithLenaMiu ] 🧸: When I was younger, I couldn't handle anything. I’d get stressed, cry, become paranoid. It felt like the world was ending and I was so sad. But when I entered university, I developed another mindset like, "Why do I have to care? "Does caring or worrying make my life better?""No. It only makes it worse." So I stopped caring. Because there are so many other people who love me, so I stopped caring. 🦋: But you did. It was very hard for me to stop. You know what I mean? You're like, "As long as they don't do anything bad."But for me... How do you say it? Their words still matter to me. Their words still matter to me, so l choose to cut them out so that their words won't affect me. You get it? It sounds similar, but it's actually different. You just decide that their words don't affect you. But I cut them out by removing them. 🧸: But I'm the type who takes a long time to process. But once I cut someone out, it's bye-bye. After that I'm indifferent. They're just a fly to me. 🦋: That's impressive though. It's really impressive that you feel that way. #LenaMiu #MiuNatsha #lalinalena

biruaena

18,741 görüntüleme • 8 ay önce

Real-time translation that sounds like you 🚀 We've been building speech-to-speech simultaneous translation for a while. The newest piece is on-the-fly voice cloning: the model picks up your voice as you speak and carries it into the other language. Here's the alpha running live during our all-hands: you speak in Japanese, the room hears you in English, and it still sounds like you. It's early and the edges are rough, but this is the experience we've been building toward. Coming very soon. Demo video below 👇 #VoiceAI #SpeechAI #RealTimeTranslation #VoiceCloning #AI

Real-time translation that sounds like you 🚀 We've been building speech-to-speech simultaneous translation for a while. The newest piece is on-the-fly voice cloning: the model picks up your voice as you speak and carries it into the other language. Here's the alpha running live during our all-hands: you speak in Japanese, the room hears you in English, and it still sounds like you. It's early and the edges are rough, but this is the experience we've been building toward. Coming very soon. Demo video below 👇 #VoiceAI #SpeechAI #RealTimeTranslation #VoiceCloning #AI

Kotoba

71,006 görüntüleme • 1 ay önce

Most employers still treat housing costs as someone else’s problem. But if you want employees to live near HQ you’re going to have to get involved. That doesn’t mean buying real estate. It may mean making mortgages more accessible. Because in a world where salaries can't keep pace with housing costs, “mortgage-as-a-benefit” becomes a no brainer. It’s why some fintechs (like Multiply Mortgage) are making it easier for employers to offer mortgage benefits as a low-risk way to retain or attract talent where you want them to live). I talked through the pros and cons on the Fintech Takes podcast with Simon Taylor. Catch the full episode here: And share: what do you think? ↓

Most employers still treat housing costs as someone else’s problem. But if you want employees to live near HQ you’re going to have to get involved. That doesn’t mean buying real estate. It may mean making mortgages more accessible. Because in a world where salaries can't keep pace with housing costs, “mortgage-as-a-benefit” becomes a no brainer. It’s why some fintechs (like Multiply Mortgage) are making it easier for employers to offer mortgage benefits as a low-risk way to retain or attract talent where you want them to live). I talked through the pros and cons on the Fintech Takes podcast with Simon Taylor. Catch the full episode here: And share: what do you think? ↓

Alex Johnson

15,898 görüntüleme • 1 yıl önce

Out of the many things that have been adjusted to feel closer to warzone 1, one thing that was missed were spring mines and blast traps (aka proximity mines and claymores) In warzone 1, each had a counter play. Prox mines had enough of a delay that you could quickly prone below them and take 0 damage. Spring mines though, its nearly impossible to prone in time due to the prone delay, and, EVEN if you do, you still take damage Claymores, had a more visible layer that you could quickly run out and run back to trigger it and not take damage typically as well. Blast Traps, have a much short delay like spring mines do as well. Also, both have a massive blast radius, way larger than prox mines and claymores did. I'm all for more casual players having things like this to counter higher skilled players, but this seems a little excessive that if you don't run a dedicated perk (reflexes) its GGs every time you run into a double spring mine as you're trying to push someone camping in a building. at a minimum make them more visible or highly audible so you know one is near Please consider making some slight adjustments here Raven Software Treyarch

Out of the many things that have been adjusted to feel closer to warzone 1, one thing that was missed were spring mines and blast traps (aka proximity mines and claymores) In warzone 1, each had a counter play. Prox mines had enough of a delay that you could quickly prone below them and take 0 damage. Spring mines though, its nearly impossible to prone in time due to the prone delay, and, EVEN if you do, you still take damage Claymores, had a more visible layer that you could quickly run out and run back to trigger it and not take damage typically as well. Blast Traps, have a much short delay like spring mines do as well. Also, both have a massive blast radius, way larger than prox mines and claymores did. I'm all for more casual players having things like this to counter higher skilled players, but this seems a little excessive that if you don't run a dedicated perk (reflexes) its GGs every time you run into a double spring mine as you're trying to push someone camping in a building. at a minimum make them more visible or highly audible so you know one is near Please consider making some slight adjustments here Raven Software Treyarch

TCaptainX

86,955 görüntüleme • 1 yıl önce

changmin asked chanyeol how he feels to promote with the members again after a long time 🍒 : while i was doing my solo activities, i thought, "ah, solo work is actually nice too". first of all, i could do more of the things i truly wanted to do, and it was a period where i could really reflect on myself. ofcourse, while i missed promoting with the members, but i still thought, "solo is fun too".. but after promoting together again as a group for the first time in a while, i realized, "ah, as expected, being in a team is really fun!" 🦌 : it's even more fun? 🍒 : yes! i just feel so at ease and it's so fun

changmin asked chanyeol how he feels to promote with the members again after a long time 🍒 : while i was doing my solo activities, i thought, "ah, solo work is actually nice too". first of all, i could do more of the things i truly wanted to do, and it was a period where i could really reflect on myself. ofcourse, while i missed promoting with the members, but i still thought, "solo is fun too".. but after promoting together again as a group for the first time in a while, i realized, "ah, as expected, being in a team is really fun!" 🦌 : it's even more fun? 🍒 : yes! i just feel so at ease and it's so fun

NLNL 🍒🔥

38,866 görüntüleme • 5 ay önce

I feel like I played this perfectly and still lost. I had just killed a player (as you can see in the start of the clip), fully healed + overshield -- flared him, blocked his first shot, point blank shotgun (MYTHIC) x2 for 260 damage. It showed me shooting a 3rd time, but nothing happened. I saw this guy running the lobby and was hoping to get the best of him. Darn that Boss sprite.

I feel like I played this perfectly and still lost. I had just killed a player (as you can see in the start of the clip), fully healed + overshield -- flared him, blocked his first shot, point blank shotgun (MYTHIC) x2 for 260 damage. It showed me shooting a 3rd time, but nothing happened. I saw this guy running the lobby and was hoping to get the best of him. Darn that Boss sprite.

Tabor Hill

45,101 görüntüleme • 2 ay önce

Open-sourcing GenOffice, the world's first full-featured open-source AI Office for PC and Mac. GenOffice is free for everyone, ad-free. All the editing tools you'd expect, no strings attached. How it started? One engineer, one week, $10,000 in tokens. That's what it took to build the GenOffice Alpha. Help shape the AI office experience We invite you to build the rest of it with us. Join the GenOffice group chat on GenTeam and bring your requests straight to the agent. Not by writing code, but by telling it what you want. You say what you need, and every piece of your feedback becomes part of the product. What's in GenOffice? Docs, Sheets, Slides, and PDF, with all the editing tools you already know. And with Genspark Super Agent built in, powered by top-tier models, it digs into research, crunches your data, then writes the doc or builds the deck for you, using your Genspark credits. This is an Alpha, and we mean it. Come tell us what's broken and what's missing. Everyone who jumps in with real feedback gets 1,000+ Genspark credits as a thank you. GitHub 👉 Download it now 👉

Open-sourcing GenOffice, the world's first full-featured open-source AI Office for PC and Mac. GenOffice is free for everyone, ad-free. All the editing tools you'd expect, no strings attached. How it started? One engineer, one week, $10,000 in tokens. That's what it took to build the GenOffice Alpha. Help shape the AI office experience We invite you to build the rest of it with us. Join the GenOffice group chat on GenTeam and bring your requests straight to the agent. Not by writing code, but by telling it what you want. You say what you need, and every piece of your feedback becomes part of the product. What's in GenOffice? Docs, Sheets, Slides, and PDF, with all the editing tools you already know. And with Genspark Super Agent built in, powered by top-tier models, it digs into research, crunches your data, then writes the doc or builds the deck for you, using your Genspark credits. This is an Alpha, and we mean it. Come tell us what's broken and what's missing. Everyone who jumps in with real feedback gets 1,000+ Genspark credits as a thank you. GitHub 👉 Download it now 👉

Genspark

517,082 görüntüleme • 1 ay önce

I’ve been working on dunk. It’s a terminal diff reviewer where you mark issues inline, then let a coding agent fix them. It started as a fork of hunk, but I stripped it down to the loop I need: review → my comments → agent fixes I’m spending time reviewing code and leaving comments for agents rather than writing code myself. But in most tools, that feedback loop still feels broken. dunk is a simple way to make it work across Claude Code, Codex, Pi, etc.

I’ve been working on dunk. It’s a terminal diff reviewer where you mark issues inline, then let a coding agent fix them. It started as a fork of hunk, but I stripped it down to the loop I need: review → my comments → agent fixes I’m spending time reviewing code and leaving comments for agents rather than writing code myself. But in most tools, that feedback loop still feels broken. dunk is a simple way to make it work across Claude Code, Codex, Pi, etc.

Amir Salihefendić

13,156 görüntüleme • 4 ay önce