Driver adventures for a 1999 webcam
420 by tomwas54 | 74 comments on Hacker News.
Sunday, 30 April 2023
Saturday, 29 April 2023
New top story on Hacker News: Real Interview Recordings to Help Job Seekers
Real Interview Recordings to Help Job Seekers
10 by oshinubijoshua | 6 comments on Hacker News.
I'm exploring an idea for a platform that will allow job interviewees (esp. techies) to share their interview recordings to help others prepare for similar interviews. I believe this will be extremely valuable for job seekers who are looking to improve their interview skills and gain insights into what employers are really looking for. However, I'm aware that privacy and anonymity is a big concern and I want to make sure that interviewees feel safe and comfortable sharing their recordings. So, I've put a lot of thought into how we can ensure anonymity while still providing valuable insights to job seekers. Here's what I'm thinking so far: - All videos will be completely anonymized before being shared on the platform. This includes blurring out faces, changing voices (if requested), and removing any identifying information such as company names and any personal info. - All videos will be thoroughly reviewed before being published to ensure that they meet strict standards for anonymity and content. As a means to reward them, interviewees can also choose to receive compensation for their video through a system similar to Buy Me A Coffee where viewers tip them if they found it helpful. I would really appreciate any feedback on this. Do you think this would be valuable for job seekers? And do you have any concerns or suggestions? Let me know what y'all think!
10 by oshinubijoshua | 6 comments on Hacker News.
I'm exploring an idea for a platform that will allow job interviewees (esp. techies) to share their interview recordings to help others prepare for similar interviews. I believe this will be extremely valuable for job seekers who are looking to improve their interview skills and gain insights into what employers are really looking for. However, I'm aware that privacy and anonymity is a big concern and I want to make sure that interviewees feel safe and comfortable sharing their recordings. So, I've put a lot of thought into how we can ensure anonymity while still providing valuable insights to job seekers. Here's what I'm thinking so far: - All videos will be completely anonymized before being shared on the platform. This includes blurring out faces, changing voices (if requested), and removing any identifying information such as company names and any personal info. - All videos will be thoroughly reviewed before being published to ensure that they meet strict standards for anonymity and content. As a means to reward them, interviewees can also choose to receive compensation for their video through a system similar to Buy Me A Coffee where viewers tip them if they found it helpful. I would really appreciate any feedback on this. Do you think this would be valuable for job seekers? And do you have any concerns or suggestions? Let me know what y'all think!
Friday, 28 April 2023
New top story on Hacker News: Tell HN: Cloudflare verification is breaking the internet
Tell HN: Cloudflare verification is breaking the internet
119 by statquontrarian | 85 comments on Hacker News.
Across many different pages including science journals, ChatGPT, and many others, CloudFlare verification goes into an infinite loop of: 1. "Verify you are a human" 2. Check the box or perform some other type of rain dance 3. "Please stand by, while we are checking your browser..." 4. Repeat step 1 I'm on Fedora Linux 37 using Firefox 110. The workaround is to use Chrome. After experiencing this dozens of times and getting annoyed of needing to use Chrome, I finally went and deleted all my cookies and cache which I had been dreading to do. It did not help. I don't have a CloudFlare account so I wrote up a detailed post on their community forums. I offered a HAR file and was willing to do diagnostics. It received no responses and it was auto-closed. It's unacceptable that CloudFlare is breaking the internet while offering no community support. Edit: I'm in Texas. I'm not using a VPN or Tor, just AT&T Fiber. I don't have ad-blockers. No weird extensions. Nothing special (besides being on Linux). Edit2: Since this got traction, I opened a new community post: https://ift.tt/iKf4RJz To be clear, I'm not against CloudFlare doing DDoS protection, etc., but it can't be breaking the internet while ignoring community posts on it . Edit3: The CloudFlare team has engaged. Thank you HN!
119 by statquontrarian | 85 comments on Hacker News.
Across many different pages including science journals, ChatGPT, and many others, CloudFlare verification goes into an infinite loop of: 1. "Verify you are a human" 2. Check the box or perform some other type of rain dance 3. "Please stand by, while we are checking your browser..." 4. Repeat step 1 I'm on Fedora Linux 37 using Firefox 110. The workaround is to use Chrome. After experiencing this dozens of times and getting annoyed of needing to use Chrome, I finally went and deleted all my cookies and cache which I had been dreading to do. It did not help. I don't have a CloudFlare account so I wrote up a detailed post on their community forums. I offered a HAR file and was willing to do diagnostics. It received no responses and it was auto-closed. It's unacceptable that CloudFlare is breaking the internet while offering no community support. Edit: I'm in Texas. I'm not using a VPN or Tor, just AT&T Fiber. I don't have ad-blockers. No weird extensions. Nothing special (besides being on Linux). Edit2: Since this got traction, I opened a new community post: https://ift.tt/iKf4RJz To be clear, I'm not against CloudFlare doing DDoS protection, etc., but it can't be breaking the internet while ignoring community posts on it . Edit3: The CloudFlare team has engaged. Thank you HN!
Thursday, 27 April 2023
Wednesday, 26 April 2023
Tuesday, 25 April 2023
The stakes for Ukraine’s spring offensive? ‘Everything.’
By BY JULIAN E. BARNES, ERIC SCHMITT, ADAM ENTOUS AND THOMAS GIBBONS-NEFF from NYT World https://ift.tt/a3Nlxgf
via IFTTT
Monday, 24 April 2023
Sunday, 23 April 2023
New top story on Hacker News: First space images captured by balloon-borne telescope
First space images captured by balloon-borne telescope
27 by colinprince | 2 comments on Hacker News.
27 by colinprince | 2 comments on Hacker News.
Saturday, 22 April 2023
Friday, 21 April 2023
Thursday, 20 April 2023
Wednesday, 19 April 2023
New top story on Hacker News: Street Votes: A proposed response to Ireland's housing crisis
Street Votes: A proposed response to Ireland's housing crisis
6 by MajesticFrogBoy | 1 comments on Hacker News.
6 by MajesticFrogBoy | 1 comments on Hacker News.
Tuesday, 18 April 2023
New top story on Hacker News: Microsoft plugging more ads into Windows 11 Start Menu
Microsoft plugging more ads into Windows 11 Start Menu
75 by LinuxBender | 189 comments on Hacker News.
75 by LinuxBender | 189 comments on Hacker News.
Monday, 17 April 2023
Sunday, 16 April 2023
Saturday, 15 April 2023
New top story on Hacker News: Ask HN: Who has deployed commercial features using GPT4?
Ask HN: Who has deployed commercial features using GPT4?
25 by _false | 3 comments on Hacker News.
I'd be curious to learn how effective has GPT4 been to enable product features and what it means for the things we might see in the future. In particular, I have the following questions: 1. What was the product you were working on? 2. Were there any new software engineering challenges that came from working with GPT4 (e.g. output quality, testing, monitoring, etc.)?
25 by _false | 3 comments on Hacker News.
I'd be curious to learn how effective has GPT4 been to enable product features and what it means for the things we might see in the future. In particular, I have the following questions: 1. What was the product you were working on? 2. Were there any new software engineering challenges that came from working with GPT4 (e.g. output quality, testing, monitoring, etc.)?
Friday, 14 April 2023
Thursday, 13 April 2023
New top story on Hacker News: Coding Jobs and GPT-4
Coding Jobs and GPT-4
23 by bb1234 | 18 comments on Hacker News.
Do you believe that GPT-4 will significantly reduce the demand for coders? If not, why not? I am curious to get your sense of this. I am not a professional coder. I write code for scientific work. But I am really curious.
23 by bb1234 | 18 comments on Hacker News.
Do you believe that GPT-4 will significantly reduce the demand for coders? If not, why not? I am curious to get your sense of this. I am not a professional coder. I write code for scientific work. But I am really curious.
Leader of Online Group Where Secret Documents Leaked Is Air National Guardsman
By BY ARIC TOLER, MICHAEL SCHWIRTZ, HALEY WILLIS, RILEY MELLEN, CHRISTIAAN TRIEBERT, MALACHY BROWNE, THOMAS GIBBONS-NEFF AND JULIAN E. BARNES from NYT World https://ift.tt/h7zgAaJ
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Wednesday, 12 April 2023
New top story on Hacker News: Ask HN: I am a full stack developer, where do I start learning for AI
Ask HN: I am a full stack developer, where do I start learning for AI
12 by FullStackDev1 | 6 comments on Hacker News.
I have been a Java Developer then full stack developer all my career. I want to get started on AI. I am not sure where to start as it is overwhelming to look at the rapid changes coming in. Are there a list of books i can start with? My goal is to be not outdated in 6 months and lose my job to chatGPT or some other version of it. So i asked ChatGPT to give me a detailed plan and here is what it gave me. Could you please let me know if this is a way to go or if there is a better way Transitioning from a full-stack engineer to the AI field can be a fulfilling and exciting journey. To make the most of this transition, you should focus on building a strong foundation in mathematics, programming, and machine learning concepts. Here's a detailed learning plan, broken down into four stages: Stage 1: Building a Strong Foundation Mathematics: Linear Algebra: "Linear Algebra and Its Applications" by Gilbert Strang Calculus: "Calculus: Early Transcendentals" by James Stewart Probability & Statistics: "Probability and Statistics for Engineers and Scientists" by Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers, and Keying E. Ye Optimization: "Convex Optimization" by Stephen Boyd and Lieven Vandenberghe Programming: Python: "Python Crash Course" by Eric Matthes Git: "Pro Git" by Scott Chacon and Ben Straub Machine Learning & Data Science Basics: "Introduction to Data Science" by Laura Igual and Santi Seguà "Python Data Science Handbook" by Jake VanderPlas Stage 2: Learning Machine Learning and Deep Learning Online Courses: Coursera: "Machine Learning" by Andrew Ng Coursera: "Deep Learning Specialization" by Andrew Ng Fast.ai: "Practical Deep Learning for Coders" Books: "Pattern Recognition and Machine Learning" by Christopher M. Bishop "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville Stage 3: Expanding Knowledge of AI Subfields Natural Language Processing (NLP): "Speech and Language Processing" by Daniel Jurafsky and James H. Martin "Natural Language Processing with Python" by Steven Bird, Ewan Klein, and Edward Loper Computer Vision: "Computer Vision: Algorithms and Applications" by Richard Szeliski "Deep Learning for Computer Vision" by Adrian Rosebrock Reinforcement Learning: "Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew G. Barto "Deep Reinforcement Learning Hands-On" by Maxim Lapan Stage 4: Staying Current and Gaining Practical Experience Read research papers: Subscribe to the arXiv mailing list in your areas of interest Regularly read papers from conferences like NeurIPS, ICML, and ACL Participate in online competitions: Kaggle: Participate in machine learning competitions to improve your skills and build your portfolio AIcrowd: Another platform for AI competitions Contribute to open-source projects: TensorFlow, PyTorch, or other popular AI frameworks Look for projects on GitHub related to your interests and contribute by fixing bugs, implementing new features, or improving documentation Network with AI professionals: Attend AI conferences, workshops, and local meetups Join AI-related forums, LinkedIn groups, or online communities like Reddit's r/MachineLearning Remember that the learning plan can be adjusted based on your pace and interests. The key is to stay consistent and always be curious to learn more. Good luck on your journey into the AI field!
12 by FullStackDev1 | 6 comments on Hacker News.
I have been a Java Developer then full stack developer all my career. I want to get started on AI. I am not sure where to start as it is overwhelming to look at the rapid changes coming in. Are there a list of books i can start with? My goal is to be not outdated in 6 months and lose my job to chatGPT or some other version of it. So i asked ChatGPT to give me a detailed plan and here is what it gave me. Could you please let me know if this is a way to go or if there is a better way Transitioning from a full-stack engineer to the AI field can be a fulfilling and exciting journey. To make the most of this transition, you should focus on building a strong foundation in mathematics, programming, and machine learning concepts. Here's a detailed learning plan, broken down into four stages: Stage 1: Building a Strong Foundation Mathematics: Linear Algebra: "Linear Algebra and Its Applications" by Gilbert Strang Calculus: "Calculus: Early Transcendentals" by James Stewart Probability & Statistics: "Probability and Statistics for Engineers and Scientists" by Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers, and Keying E. Ye Optimization: "Convex Optimization" by Stephen Boyd and Lieven Vandenberghe Programming: Python: "Python Crash Course" by Eric Matthes Git: "Pro Git" by Scott Chacon and Ben Straub Machine Learning & Data Science Basics: "Introduction to Data Science" by Laura Igual and Santi Seguà "Python Data Science Handbook" by Jake VanderPlas Stage 2: Learning Machine Learning and Deep Learning Online Courses: Coursera: "Machine Learning" by Andrew Ng Coursera: "Deep Learning Specialization" by Andrew Ng Fast.ai: "Practical Deep Learning for Coders" Books: "Pattern Recognition and Machine Learning" by Christopher M. Bishop "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville Stage 3: Expanding Knowledge of AI Subfields Natural Language Processing (NLP): "Speech and Language Processing" by Daniel Jurafsky and James H. Martin "Natural Language Processing with Python" by Steven Bird, Ewan Klein, and Edward Loper Computer Vision: "Computer Vision: Algorithms and Applications" by Richard Szeliski "Deep Learning for Computer Vision" by Adrian Rosebrock Reinforcement Learning: "Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew G. Barto "Deep Reinforcement Learning Hands-On" by Maxim Lapan Stage 4: Staying Current and Gaining Practical Experience Read research papers: Subscribe to the arXiv mailing list in your areas of interest Regularly read papers from conferences like NeurIPS, ICML, and ACL Participate in online competitions: Kaggle: Participate in machine learning competitions to improve your skills and build your portfolio AIcrowd: Another platform for AI competitions Contribute to open-source projects: TensorFlow, PyTorch, or other popular AI frameworks Look for projects on GitHub related to your interests and contribute by fixing bugs, implementing new features, or improving documentation Network with AI professionals: Attend AI conferences, workshops, and local meetups Join AI-related forums, LinkedIn groups, or online communities like Reddit's r/MachineLearning Remember that the learning plan can be adjusted based on your pace and interests. The key is to stay consistent and always be curious to learn more. Good luck on your journey into the AI field!
Tuesday, 11 April 2023
New top story on Hacker News: Twitter showed us its algorithm. What does it tell us?
Twitter showed us its algorithm. What does it tell us?
23 by randomwalker | 1 comments on Hacker News.
23 by randomwalker | 1 comments on Hacker News.
Monday, 10 April 2023
Sunday, 9 April 2023
Saturday, 8 April 2023
Friday, 7 April 2023
Thursday, 6 April 2023
New top story on Hacker News: Show HN: Sym, define just-in-time access workflows in code
Show HN: Sym, define just-in-time access workflows in code
24 by abuggia | 3 comments on Hacker News.
Hello HN, My cofounder (jon918) and I started Sym three years ago because we were frustrated with how hard it was to manage access to cloud infrastructure. We wanted to build a tool for JIT access that was actually designed for developers. We were wary of tools that tried to accommodate both devs and IT but ended up with usability compromises for both. First, we figured no one wants another web app to log into so we let administrators define access workflows in Terraform and let developers request and gain access via Slack. That seemed to pay off: being code-based was a big plus for our early customers since it let them manage the logic in version control and test in CI/CD. Second, we knew that updating permissions/roles/access was a major source of toil and risk in the world of cloud infrastructure. Have you ever tried to avoid annoying, persistent access requests by setting policies that are a bit more permissive than you’d like? We felt that fully automated just-in-time access + approvals could really help here. But we also knew that a simple approval tool could end up leading to request fatigue - kind of defeating the purpose. So we built an SDK to let you define checks in code (e.g. pagerduty.on_call, okta.is_user_in_group, github.get_repo_collaborators) in order to dynamically route requests or fast-track access when appropriate. This seems to be paying off: users are creating Slack-based approvals in front of different types of risky actions like production access, sensitive queries and triggering Lambdas. We’d love your feedback on our approach so far. Does this make sense to you? Is this a tool you'd use? What would you want to see out of it? To learn more, check out the video that Nick (nmeans (Sym VPEng)) made [1]. You can also check out our docs [2] or set up your own flow [3]. thanks! -adam [1] https://ift.tt/oq6C4Fz [2] https://docs.symops.com [3] https://ift.tt/zbgHm7C
24 by abuggia | 3 comments on Hacker News.
Hello HN, My cofounder (jon918) and I started Sym three years ago because we were frustrated with how hard it was to manage access to cloud infrastructure. We wanted to build a tool for JIT access that was actually designed for developers. We were wary of tools that tried to accommodate both devs and IT but ended up with usability compromises for both. First, we figured no one wants another web app to log into so we let administrators define access workflows in Terraform and let developers request and gain access via Slack. That seemed to pay off: being code-based was a big plus for our early customers since it let them manage the logic in version control and test in CI/CD. Second, we knew that updating permissions/roles/access was a major source of toil and risk in the world of cloud infrastructure. Have you ever tried to avoid annoying, persistent access requests by setting policies that are a bit more permissive than you’d like? We felt that fully automated just-in-time access + approvals could really help here. But we also knew that a simple approval tool could end up leading to request fatigue - kind of defeating the purpose. So we built an SDK to let you define checks in code (e.g. pagerduty.on_call, okta.is_user_in_group, github.get_repo_collaborators) in order to dynamically route requests or fast-track access when appropriate. This seems to be paying off: users are creating Slack-based approvals in front of different types of risky actions like production access, sensitive queries and triggering Lambdas. We’d love your feedback on our approach so far. Does this make sense to you? Is this a tool you'd use? What would you want to see out of it? To learn more, check out the video that Nick (nmeans (Sym VPEng)) made [1]. You can also check out our docs [2] or set up your own flow [3]. thanks! -adam [1] https://ift.tt/oq6C4Fz [2] https://docs.symops.com [3] https://ift.tt/zbgHm7C
Wednesday, 5 April 2023
New top story on Hacker News: Show HN: Quadratic – Open-Source Spreadsheet with Python, AI (WASM and WebGL)
Show HN: Quadratic – Open-Source Spreadsheet with Python, AI (WASM and WebGL)
19 by davidkircos | 9 comments on Hacker News.
Hi, I am David Kircos. The Founder of Quadratic ( https://QuadraticHQ.com ), an open-source spreadsheet application that supports Python, SQL (coming soon), AI Prompts, and classic Formulas. Unlike other spreadsheets, Quadratic has an infinite canvas (like Figma). As a result, you can pinch and zoom to navigate large data sets, and everything renders smoothly at 60fps. Our vision is to build a place where your team can collaborate on data analysis. You can write Python, AI Prompts, and Formulas in one spreadsheet feeding each other data and updating automatically. Quadratic is built using WebGL and Rust WASM. To render a large grid of cells smoothly, we tile the spreadsheet similar to google maps. If you are interested in the technical details, check us out on GitHub ( https://ift.tt/bFh40HR ) You can use AI to help you write Python and then run the code directly in Quadratic. Then, we feed the result back to the AI model so it can follow along, help you debug, and modify your existing code. AI can also be used to directly generate data onto the sheet with prompts. It knows the context of what's on the sheet and how the data it's inserting fits in. Try it out. SQL is coming soon... stay tuned!
19 by davidkircos | 9 comments on Hacker News.
Hi, I am David Kircos. The Founder of Quadratic ( https://QuadraticHQ.com ), an open-source spreadsheet application that supports Python, SQL (coming soon), AI Prompts, and classic Formulas. Unlike other spreadsheets, Quadratic has an infinite canvas (like Figma). As a result, you can pinch and zoom to navigate large data sets, and everything renders smoothly at 60fps. Our vision is to build a place where your team can collaborate on data analysis. You can write Python, AI Prompts, and Formulas in one spreadsheet feeding each other data and updating automatically. Quadratic is built using WebGL and Rust WASM. To render a large grid of cells smoothly, we tile the spreadsheet similar to google maps. If you are interested in the technical details, check us out on GitHub ( https://ift.tt/bFh40HR ) You can use AI to help you write Python and then run the code directly in Quadratic. Then, we feed the result back to the AI model so it can follow along, help you debug, and modify your existing code. AI can also be used to directly generate data onto the sheet with prompts. It knows the context of what's on the sheet and how the data it's inserting fits in. Try it out. SQL is coming soon... stay tuned!
Tuesday, 4 April 2023
Monday, 3 April 2023
The woman arrested in a Russian pro-war blogger’s death had attended opposition rallies.
By BY ANATOLY KURMANAEV, ALINA LOBZINA AND OLEG MATSNEV from NYT World https://ift.tt/akCP0Jm
via IFTTT
