Guess my RGB
500 by talonx | 126 comments on Hacker News.
Sunday, March 31, 2024
Saturday, March 30, 2024
Friday, March 29, 2024
Thursday, March 28, 2024
Wednesday, March 27, 2024
Tuesday, March 26, 2024
New best story on Hacker News: Launch HN: Aqua Voice (YC W24) – Voice-driven text editor
Launch HN: Aqua Voice (YC W24) – Voice-driven text editor
369 by the_king | 125 comments on Hacker News.
Hey HN! We’re Jack and Finn from Aqua Voice ( https://withaqua.com/ ). Aqua is a voice-native document editor that combines reliable dictation and natural language commands, letting you say things like: “make this a list” or “it’s Erin with an E” or “add an inline citation here for page 86 of this book”. Here is a demo: https://youtu.be/qwSAKg1YafM . Finn, who is big-time dyslexic, has been using dictation software since the sixth grade when his dad set him up on Dragon Dictation. He used it through school to write papers, and has been keeping his own transcription benchmarks since college. All that time, writing with your voice has remained a cumbersome and brittle experience that is riddled with painpoints. Dictation software is still terrible. All the solutions basically compete on accuracy (i.e. speech recognition), but none of them deal with the fundamentally brittle nature of the text that they generate. They don't try to format text correctly and require you to learn a bunch of specialized commands, which often are not worth it. They're not even close to a voice replacement for a keyboard. Even post LLM, you are limited to a set of specific commands and the most accurate models don’t have any commands. Outside of these rules, the models have no sense for what is an instruction and what is content. You can’t say “and format this like an email” or “make the last bullet point shorter”. Aqua solves this. This problem is important to Finn and millions of other people who would write with their voice if they could. Initially, we didn't think of it as a startup project. It was just something we wanted for ourselves. We thought maybe we'd write a novel with it - or something. After friends started asking to use the early versions of Aqua, it occurred to us that, if we didn't build it, maybe nobody would. Aqua Voice is a text editor that you talk to like a person. Depending on the way that you say it and the context in which you're operating, Aqua decides whether to transcribe what you said verbatim, execute a command, or subtly modify what you said into what you meant to write. For example, if you were to dictate: "Gryphons have classic forms resembling shield volcanoes," Aqua would output your text verbatim. But if you stumble over your words or start a sentence over a few times, Aqua is smart enough to figure that out and to only take the last version of the sentence. The vision is not only to provide a more natural dictation experience, but to enable for the first time an AI-writing experience that feels natural and collaborative. This requires moving away from using LLMs for one-off chat requests and towards something that is more like streaming where you are in constant contact with the model. Voice is the natural medium for this. Aqua is actually 6 models working together to transcribe, interpret, and rewrite the document according to your intent. Technically, executing a real-time voice application with a language model at its core requires complex coordination between multiple pieces. We use MoE transcription to outperform what was previously thought possible in terms of real-time accuracy. Then we sync up with a language model to determine what should be on the screen as quickly as possible. The model isn't perfect, but it is ready for early adopters and we’ve already been getting feedback from grateful users. For example, a historian with carpal tunnel sent us an email he wrote using Aqua and said that he is now able to be five times as productive as he was previously. We've heard from other people with disabilities that prevent them from typing. We've also seen good adoption from people who are dyslexic or simply prefer talking to typing. It’s being used for everything from emails to brainstorming to papers to legal briefings. While there is much left to do in terms of latency and robustness, the best experiences with Aqua are beginning to feel magical. We would love for you to try it out and give us feedback, which you can do with no account on https://withaqua.com . If you find it useful, it’s $10/month after a 1000-token free trial. (We want to bump the free trial in the future, but we're a small team, and running this thing isn’t cheap.) We’d love to hear your ideas and comments with voice-to-text!
369 by the_king | 125 comments on Hacker News.
Hey HN! We’re Jack and Finn from Aqua Voice ( https://withaqua.com/ ). Aqua is a voice-native document editor that combines reliable dictation and natural language commands, letting you say things like: “make this a list” or “it’s Erin with an E” or “add an inline citation here for page 86 of this book”. Here is a demo: https://youtu.be/qwSAKg1YafM . Finn, who is big-time dyslexic, has been using dictation software since the sixth grade when his dad set him up on Dragon Dictation. He used it through school to write papers, and has been keeping his own transcription benchmarks since college. All that time, writing with your voice has remained a cumbersome and brittle experience that is riddled with painpoints. Dictation software is still terrible. All the solutions basically compete on accuracy (i.e. speech recognition), but none of them deal with the fundamentally brittle nature of the text that they generate. They don't try to format text correctly and require you to learn a bunch of specialized commands, which often are not worth it. They're not even close to a voice replacement for a keyboard. Even post LLM, you are limited to a set of specific commands and the most accurate models don’t have any commands. Outside of these rules, the models have no sense for what is an instruction and what is content. You can’t say “and format this like an email” or “make the last bullet point shorter”. Aqua solves this. This problem is important to Finn and millions of other people who would write with their voice if they could. Initially, we didn't think of it as a startup project. It was just something we wanted for ourselves. We thought maybe we'd write a novel with it - or something. After friends started asking to use the early versions of Aqua, it occurred to us that, if we didn't build it, maybe nobody would. Aqua Voice is a text editor that you talk to like a person. Depending on the way that you say it and the context in which you're operating, Aqua decides whether to transcribe what you said verbatim, execute a command, or subtly modify what you said into what you meant to write. For example, if you were to dictate: "Gryphons have classic forms resembling shield volcanoes," Aqua would output your text verbatim. But if you stumble over your words or start a sentence over a few times, Aqua is smart enough to figure that out and to only take the last version of the sentence. The vision is not only to provide a more natural dictation experience, but to enable for the first time an AI-writing experience that feels natural and collaborative. This requires moving away from using LLMs for one-off chat requests and towards something that is more like streaming where you are in constant contact with the model. Voice is the natural medium for this. Aqua is actually 6 models working together to transcribe, interpret, and rewrite the document according to your intent. Technically, executing a real-time voice application with a language model at its core requires complex coordination between multiple pieces. We use MoE transcription to outperform what was previously thought possible in terms of real-time accuracy. Then we sync up with a language model to determine what should be on the screen as quickly as possible. The model isn't perfect, but it is ready for early adopters and we’ve already been getting feedback from grateful users. For example, a historian with carpal tunnel sent us an email he wrote using Aqua and said that he is now able to be five times as productive as he was previously. We've heard from other people with disabilities that prevent them from typing. We've also seen good adoption from people who are dyslexic or simply prefer talking to typing. It’s being used for everything from emails to brainstorming to papers to legal briefings. While there is much left to do in terms of latency and robustness, the best experiences with Aqua are beginning to feel magical. We would love for you to try it out and give us feedback, which you can do with no account on https://withaqua.com . If you find it useful, it’s $10/month after a 1000-token free trial. (We want to bump the free trial in the future, but we're a small team, and running this thing isn’t cheap.) We’d love to hear your ideas and comments with voice-to-text!
New best story on Hacker News: Launch HN: Aqua Voice (YC W24) – Voice-driven text editor
Launch HN: Aqua Voice (YC W24) – Voice-driven text editor
349 by the_king | 124 comments on Hacker News.
Hey HN! We’re Jack and Finn from Aqua Voice ( https://withaqua.com/ ). Aqua is a voice-native document editor that combines reliable dictation and natural language commands, letting you say things like: “make this a list” or “it’s Erin with an E” or “add an inline citation here for page 86 of this book”. Here is a demo: https://youtu.be/qwSAKg1YafM . Finn, who is big-time dyslexic, has been using dictation software since the sixth grade when his dad set him up on Dragon Dictation. He used it through school to write papers, and has been keeping his own transcription benchmarks since college. All that time, writing with your voice has remained a cumbersome and brittle experience that is riddled with painpoints. Dictation software is still terrible. All the solutions basically compete on accuracy (i.e. speech recognition), but none of them deal with the fundamentally brittle nature of the text that they generate. They don't try to format text correctly and require you to learn a bunch of specialized commands, which often are not worth it. They're not even close to a voice replacement for a keyboard. Even post LLM, you are limited to a set of specific commands and the most accurate models don’t have any commands. Outside of these rules, the models have no sense for what is an instruction and what is content. You can’t say “and format this like an email” or “make the last bullet point shorter”. Aqua solves this. This problem is important to Finn and millions of other people who would write with their voice if they could. Initially, we didn't think of it as a startup project. It was just something we wanted for ourselves. We thought maybe we'd write a novel with it - or something. After friends started asking to use the early versions of Aqua, it occurred to us that, if we didn't build it, maybe nobody would. Aqua Voice is a text editor that you talk to like a person. Depending on the way that you say it and the context in which you're operating, Aqua decides whether to transcribe what you said verbatim, execute a command, or subtly modify what you said into what you meant to write. For example, if you were to dictate: "Gryphons have classic forms resembling shield volcanoes," Aqua would output your text verbatim. But if you stumble over your words or start a sentence over a few times, Aqua is smart enough to figure that out and to only take the last version of the sentence. The vision is not only to provide a more natural dictation experience, but to enable for the first time an AI-writing experience that feels natural and collaborative. This requires moving away from using LLMs for one-off chat requests and towards something that is more like streaming where you are in constant contact with the model. Voice is the natural medium for this. Aqua is actually 6 models working together to transcribe, interpret, and rewrite the document according to your intent. Technically, executing a real-time voice application with a language model at its core requires complex coordination between multiple pieces. We use MoE transcription to outperform what was previously thought possible in terms of real-time accuracy. Then we sync up with a language model to determine what should be on the screen as quickly as possible. The model isn't perfect, but it is ready for early adopters and we’ve already been getting feedback from grateful users. For example, a historian with carpal tunnel sent us an email he wrote using Aqua and said that he is now able to be five times as productive as he was previously. We've heard from other people with disabilities that prevent them from typing. We've also seen good adoption from people who are dyslexic or simply prefer talking to typing. It’s being used for everything from emails to brainstorming to papers to legal briefings. While there is much left to do in terms of latency and robustness, the best experiences with Aqua are beginning to feel magical. We would love for you to try it out and give us feedback, which you can do with no account on https://withaqua.com . If you find it useful, it’s $10/month after a 1000-token free trial. (We want to bump the free trial in the future, but we're a small team, and running this thing isn’t cheap.) We’d love to hear your ideas and comments with voice-to-text!
349 by the_king | 124 comments on Hacker News.
Hey HN! We’re Jack and Finn from Aqua Voice ( https://withaqua.com/ ). Aqua is a voice-native document editor that combines reliable dictation and natural language commands, letting you say things like: “make this a list” or “it’s Erin with an E” or “add an inline citation here for page 86 of this book”. Here is a demo: https://youtu.be/qwSAKg1YafM . Finn, who is big-time dyslexic, has been using dictation software since the sixth grade when his dad set him up on Dragon Dictation. He used it through school to write papers, and has been keeping his own transcription benchmarks since college. All that time, writing with your voice has remained a cumbersome and brittle experience that is riddled with painpoints. Dictation software is still terrible. All the solutions basically compete on accuracy (i.e. speech recognition), but none of them deal with the fundamentally brittle nature of the text that they generate. They don't try to format text correctly and require you to learn a bunch of specialized commands, which often are not worth it. They're not even close to a voice replacement for a keyboard. Even post LLM, you are limited to a set of specific commands and the most accurate models don’t have any commands. Outside of these rules, the models have no sense for what is an instruction and what is content. You can’t say “and format this like an email” or “make the last bullet point shorter”. Aqua solves this. This problem is important to Finn and millions of other people who would write with their voice if they could. Initially, we didn't think of it as a startup project. It was just something we wanted for ourselves. We thought maybe we'd write a novel with it - or something. After friends started asking to use the early versions of Aqua, it occurred to us that, if we didn't build it, maybe nobody would. Aqua Voice is a text editor that you talk to like a person. Depending on the way that you say it and the context in which you're operating, Aqua decides whether to transcribe what you said verbatim, execute a command, or subtly modify what you said into what you meant to write. For example, if you were to dictate: "Gryphons have classic forms resembling shield volcanoes," Aqua would output your text verbatim. But if you stumble over your words or start a sentence over a few times, Aqua is smart enough to figure that out and to only take the last version of the sentence. The vision is not only to provide a more natural dictation experience, but to enable for the first time an AI-writing experience that feels natural and collaborative. This requires moving away from using LLMs for one-off chat requests and towards something that is more like streaming where you are in constant contact with the model. Voice is the natural medium for this. Aqua is actually 6 models working together to transcribe, interpret, and rewrite the document according to your intent. Technically, executing a real-time voice application with a language model at its core requires complex coordination between multiple pieces. We use MoE transcription to outperform what was previously thought possible in terms of real-time accuracy. Then we sync up with a language model to determine what should be on the screen as quickly as possible. The model isn't perfect, but it is ready for early adopters and we’ve already been getting feedback from grateful users. For example, a historian with carpal tunnel sent us an email he wrote using Aqua and said that he is now able to be five times as productive as he was previously. We've heard from other people with disabilities that prevent them from typing. We've also seen good adoption from people who are dyslexic or simply prefer talking to typing. It’s being used for everything from emails to brainstorming to papers to legal briefings. While there is much left to do in terms of latency and robustness, the best experiences with Aqua are beginning to feel magical. We would love for you to try it out and give us feedback, which you can do with no account on https://withaqua.com . If you find it useful, it’s $10/month after a 1000-token free trial. (We want to bump the free trial in the future, but we're a small team, and running this thing isn’t cheap.) We’d love to hear your ideas and comments with voice-to-text!
Monday, March 25, 2024
Sunday, March 24, 2024
Saturday, March 23, 2024
New best story on Hacker News: Game of Life, simulating itself, infinitely zoomable
Game of Life, simulating itself, infinitely zoomable
773 by surprisetalk | 170 comments on Hacker News.
773 by surprisetalk | 170 comments on Hacker News.
New best story on Hacker News: Game of Life, simulating itself, infinitely zoomable
Game of Life, simulating itself, infinitely zoomable
728 by surprisetalk | 159 comments on Hacker News.
728 by surprisetalk | 159 comments on Hacker News.
Friday, March 22, 2024
New best story on Hacker News: Show HN: Memories – FOSS Google Photos alternative built for high performance
Show HN: Memories – FOSS Google Photos alternative built for high performance
686 by radialapps | 201 comments on Hacker News.
Memories is a FOSS Google Photos alternative that you can self-host (it runs as a Nextcloud plugin). Website: https://ift.tt/gwX5FyN GitHub: https://ift.tt/SFEdXLT Demo Server: https://ift.tt/wTRYhib (demo runs in San Francisco on a free-tier cloud vm) Memories has been built ground-up for high performance and is extremely fast when configured correctly. In our testing environment, it can load a timeline view with 100k photos in under 500ms, including query and rendering time! Some features to highlight: * A timeline similar to Google Photos where you can skip to any time in history instantly. * AI-based tagging that runs locally on your server, identifying and tagging people and objects. * Albums and external sharing. * Metadata editing support * A world map of your photos, supported both on mobile and the web * Did I mention it's extremely fast? Would love to hear feedback from the HN community! :)
686 by radialapps | 201 comments on Hacker News.
Memories is a FOSS Google Photos alternative that you can self-host (it runs as a Nextcloud plugin). Website: https://ift.tt/gwX5FyN GitHub: https://ift.tt/SFEdXLT Demo Server: https://ift.tt/wTRYhib (demo runs in San Francisco on a free-tier cloud vm) Memories has been built ground-up for high performance and is extremely fast when configured correctly. In our testing environment, it can load a timeline view with 100k photos in under 500ms, including query and rendering time! Some features to highlight: * A timeline similar to Google Photos where you can skip to any time in history instantly. * AI-based tagging that runs locally on your server, identifying and tagging people and objects. * Albums and external sharing. * Metadata editing support * A world map of your photos, supported both on mobile and the web * Did I mention it's extremely fast? Would love to hear feedback from the HN community! :)
New best story on Hacker News: Show HN: Memories – FOSS Google Photos alternative built for high performance
Show HN: Memories – FOSS Google Photos alternative built for high performance
674 by radialapps | 200 comments on Hacker News.
Memories is a FOSS Google Photos alternative that you can self-host (it runs as a Nextcloud plugin). Website: https://ift.tt/gwX5FyN GitHub: https://ift.tt/SFEdXLT Demo Server: https://ift.tt/wTRYhib (demo runs in San Francisco on a free-tier cloud vm) Memories has been built ground-up for high performance and is extremely fast when configured correctly. In our testing environment, it can load a timeline view with 100k photos in under 500ms, including query and rendering time! Some features to highlight: * A timeline similar to Google Photos where you can skip to any time in history instantly. * AI-based tagging that runs locally on your server, identifying and tagging people and objects. * Albums and external sharing. * Metadata editing support * A world map of your photos, supported both on mobile and the web * Did I mention it's extremely fast? Would love to hear feedback from the HN community! :)
674 by radialapps | 200 comments on Hacker News.
Memories is a FOSS Google Photos alternative that you can self-host (it runs as a Nextcloud plugin). Website: https://ift.tt/gwX5FyN GitHub: https://ift.tt/SFEdXLT Demo Server: https://ift.tt/wTRYhib (demo runs in San Francisco on a free-tier cloud vm) Memories has been built ground-up for high performance and is extremely fast when configured correctly. In our testing environment, it can load a timeline view with 100k photos in under 500ms, including query and rendering time! Some features to highlight: * A timeline similar to Google Photos where you can skip to any time in history instantly. * AI-based tagging that runs locally on your server, identifying and tagging people and objects. * Albums and external sharing. * Metadata editing support * A world map of your photos, supported both on mobile and the web * Did I mention it's extremely fast? Would love to hear feedback from the HN community! :)
Thursday, March 21, 2024
New best story on Hacker News: Difftastic, a structural diff tool that understands syntax
Difftastic, a structural diff tool that understands syntax
602 by jiripospisil | 100 comments on Hacker News.
602 by jiripospisil | 100 comments on Hacker News.
New best story on Hacker News: Difftastic, a structural diff tool that understands syntax
Difftastic, a structural diff tool that understands syntax
589 by jiripospisil | 97 comments on Hacker News.
589 by jiripospisil | 97 comments on Hacker News.
Wednesday, March 20, 2024
Tuesday, March 19, 2024
Monday, March 18, 2024
New best story on Hacker News: Fuzzing Ladybird with tools from Google Project Zero
Fuzzing Ladybird with tools from Google Project Zero
511 by awesomekling | 56 comments on Hacker News.
511 by awesomekling | 56 comments on Hacker News.
Sunday, March 17, 2024
Saturday, March 16, 2024
Friday, March 15, 2024
Thursday, March 14, 2024
New best story on Hacker News: Glassdoor updated my profile to add my real name and location
Glassdoor updated my profile to add my real name and location
520 by throwaway_08932 | 231 comments on Hacker News.
520 by throwaway_08932 | 231 comments on Hacker News.
New best story on Hacker News: Glassdoor updated my profile to add my real name and location
Glassdoor updated my profile to add my real name and location
490 by throwaway_08932 | 221 comments on Hacker News.
490 by throwaway_08932 | 221 comments on Hacker News.
Wednesday, March 13, 2024
Tuesday, March 12, 2024
Monday, March 11, 2024
Saturday, March 9, 2024
Friday, March 8, 2024
New best story on Hacker News: Fine tune a 70B language model at home
Fine tune a 70B language model at home
601 by jph00 | 146 comments on Hacker News.
Jeremy from Answer.AI here. This is our first project since launching our new R&D lab at the start of this year. It's the #1 most requested thing I've been hearing from open source model builders: the ability to use multiple GPUs with QLoRA training. So that's why we decided to make it our first project. Huge thanks to Tim Dettmers for helping us get started to this -- and of course for creating QLoRA in the first place! Let me know if you have any questions or thoughts.
601 by jph00 | 146 comments on Hacker News.
Jeremy from Answer.AI here. This is our first project since launching our new R&D lab at the start of this year. It's the #1 most requested thing I've been hearing from open source model builders: the ability to use multiple GPUs with QLoRA training. So that's why we decided to make it our first project. Huge thanks to Tim Dettmers for helping us get started to this -- and of course for creating QLoRA in the first place! Let me know if you have any questions or thoughts.
Thursday, March 7, 2024
Wednesday, March 6, 2024
рдбॉ. рдк्рд░рддिрдоा рдЗंрдЧोрд▓े рдпांрдЪ्рдпा рдЕрдз्рдпрдХ्рд╖рддेрдд рднрдж्рд░ाрд╡рддीрдд 17 рдоाрд░्рдЪрд▓ा рд╕ाрддрд╡े рд╕्рдоृрддिрдЧंрдз рдХाрд╡्рдпрд╕ंрдоेрд▓рди
*рдбॉ. рдк्рд░рддिрдоा рдЗंрдЧोрд▓े рдпांрдЪ्рдпा рдЕрдз्рдпрдХ्рд╖рддेрдд рднрдж्рд░ाрд╡рддीрдд 17 рдоाрд░्рдЪрд▓ा рд╕ाрддрд╡े рд╕्рдоृрддिрдЧंрдз рдХाрд╡्рдпрд╕ंрдоेрд▓рди*
*рд╕्рд╡. рд╡िрдгा рдЖрдбेрдХрд░ рд╕्рдоृрддी рдк्рд░рддिрд╖्рдаाрдирдЪे рдЖрдпोрдЬрди*
рд╕्рд╡. рд╡िрдгा рдЖрдбेрдХрд░ рд╕्рдоृрддी рдк्рд░рддिрд╖्рдаाрди рднрдж्рд░ाрд╡рддीрдЪ्рдпा рд╡рддीрдиे рд╕्рдеाрдиीрдХ рд╢्рд░ी рдоुрд░рд▓ीрдзрд░ рдкाрдЯीрд▓ рдЧुंрдбाрд╡ाрд░ рд╕рднाрдЧृрд╣ рдпेрдеे рд░рд╡िрд╡ाрд░ рджिрдиांрдХ 17 рдоाрд░्рдЪ 2024 рд▓ा рд╕ाрддрд╡े рд╕्рдоृрддिрдЧंрдз рдХाрд╡्рдпрд╕ंрдоेрд▓рди рд╕ंрдкрди्рди рд╣ोрдд рдЖрд╣े. рдирд╡ोрджीрдд рд╡ рдк्рд░рдеिрддрдпрд╢ рдХाрд╡्рдпрдк्рд░рддिрднेрдЪा рд╕рди्рдоाрди рдЖрдгि рдорд░ाрдаी рдХाрд╡्рдп рд░рд╕िрдХांрдЪ्рдпा рдЖрд╕्рд╡ाрджрдХрддेрд╕ рдк्рд░ोрдд्рд╕ाрд╣рди рджेрдг्рдпाрд╕ाрдаी рд╣्рдпा рд╕ंрдоेрд▓рдиाрдЪे рдк्рд░рдпोрдЬрди рдЖрд╣े. рд╕ंрдоेрд▓рдиाрдз्рдпрдХ्рд╖ рдЬ्рдпेрд╖्рда рд╕ाрд╣िрдд्рдпिрдХ рд╡ рдк्рд░рд╕िрдз्рдж рдХрд╡рдпिрдд्рд░ी рдбॉ. рдк्рд░рддिрдоा рдЗंрдЧोрд▓े рджाрдиाрдкूрд░ (рдЕрдХोрд▓ा), рдпांрдЪ्рдпा рдЕрдз्рдпрдХ्рд╖рддेрдЦाрд▓ी рдк्рд░рдЦ्рдпाрдд рдХрд╡рдпिрдд्рд░ी рдбॉ. рд╕ंрдз्рдпा рдкрд╡ाрд░ рдиाрдЧрдкूрд░, рдпांрдЪ्рдпा рд╢ुрднрд╣рд╕्рддे рдпा рдиिрдпोрдЬीрдд рд╕ंрдоेрд▓рдиाрдЪे рдЙрдж्рдШाрдЯрди рд╕рдХाрд│ी рдаिрдХ 10.30 рд╡ा. рд╕ंрдкрди्рди рд╣ोрдд рдЖрд╣े. рдпाрд╡ेрд│ी рдк्рд░рдоूрдЦ рдЕрддिрдеी рдо्рд╣рдгूрди рдЬ्рдпेрд╖्рда рд╕рд╣िрдд्рдпिрдХ рдЖрдЪाрд░्рдп рдиा.рдЧो.рдеुрдЯे рд╡рд░ोрд░ा, рд╕ुрдк्рд░рд╕िрдж्рдз рдЧ्рд░ाрдоीрдг рдХрдеाрдХाрд░ рд╡ рдХृрд╖ी рддрдЬ्рдЬ्рдЮ рдЕрдиंрдд рднोрдпрд░ рдХाрдЯोрд▓, рдбॉ. рдк्рд░рдХाрд╢ рдорд╣ाрдХाрд│рдХрд░ рдЧрдЯрд╢िрдХ्рд╖рдгाрдзिрдХाрд░ी рдк.рд╕. рднрдж्рд░ाрд╡рддी, рдЕрдоीрдд рдЧुंрдбाрд╡ाрд░ рд╕ाрдоाрдЬिрдХ рдХाрд░्рдпрдХрд░्рддे рднрдж्рд░ाрд╡рддी, рдИрдд्рдпाрджी рдоाрди्рдпрд╡рд░ рдЙрдкрд╕्рдеिрдд рд░ाрд╣рддीрд▓. рднрдж्рд░ाрд╡рддीрдЪे рдоाрдЬी рдирдЧрд░ाрдз्рдпрдХ्рд╖ рдЕрдиिрд▓ рдзाрдиोрд░рдХрд░ рдпा рдХाрд╡्рдпрд╕ंрдоेрд▓рдиाрдЪे рдиिрдоिрдд्рддाрдиे рд╡िрд╢ेрд╖ рдЕрддिрдеी рдо्рд╣рдгूрди рдпाрд╡ेрд│ी рдЙрдкрд╕्рдеिрдд рдЕрд╕рддीрд▓.
рдк्рд░рд╕्рддूрдд рдХाрд╡्рдп рд╕ंрдоेрд▓рди рдХрд╡ी рдЖрдгि рдХрд╡िрддेрдЪा рд╢рдм्рдж-рднाрд╡-рдЕрдиुрднूрддीрдЪा рдЖрдиंрджрдоेрд│ाрдЪ рдЕрд╕ूрди, рдпा рдПрдХрджिрд╡рд╕ीрдп рдХाрд╡्рдпрд╕ंрдоेрд▓рдиाрдд рджोрди рдХрд╡िрд╕ंрдоेрд▓рдиे рд╡ рдПрдХा рдЧрдЭрд▓ рдоैрдлिрд▓ीрдЪे рдЖрдпोрдЬрди рдХрд░рдг्рдпाрдд рдЖрд▓े рдЖрд╣े. рднрд░рдЧрдЪ्рдЪ рдЪाрд░ рд╕рдд्рд░ांрдордз्рдпे рд╣ोрдд рдЕрд╕рд▓ेрд▓्рдпा рдпा рд╕ाрд╣िрдд्рдпрд╕ोрд╣рд│्рдпाрдд рд╡ाрдЩ्рдордпीрди рдЪिंрддрдиाрд╕ोрдмрддрдЪ рдХाрд╡्рдпाрдоृрддाрдЪे рд╕िंрдЪрди рд╣ोрдгाрд░ рдЖрд╣े.рд╕ंрдоेрд▓рдиाрдЪ्рдпा рджुрд╕рд▒्рдпा рд╕рдд्рд░ाрдд рд╕ंрдоेрд▓рдиाрдз्рдпрдХ्рд╖ рдбॉ. рдк्рд░рддिрдоा рдЗंрдЧोрд▓े рдпांрдЪ्рдпा рдЕрдз्рдпрдХ्рд╖рддेрдЦाрд▓ी рдиिрдоंрдд्рд░ीрдд рдХрд╡ींрдЪे рдмрд╣ाрд░рджाрд░ рдХрд╡िрд╕ंрдоेрд▓рди рд╕ंрдкрди्рди рд╣ोрдд рдЖрд╣े. рд╡िрджрд░्рднाрддीрд▓ рдиाрдорд╡ंрдд рдХрд╡ी рдпा рд╕ंрдоेрд▓рдиाрд▓ा рдЙрдкрд╕्рдеिрдд рд░ाрд╣рдгाрд░ рдЕрд╕ूрди, рдорд░ाрдаी рдХाрд╡्рдпрд░рд╕िрдХांрдиा рд╣ी рдПрдХ рдоोрдаी рдкрд░्рд╡рдгीрдЪ рдЕрд╕рдгाрд░ рдЖрд╣े. рддिрд╕рд▒्рдпा рд╕рдд्рд░ाрдд, рдк्рд░рдЦ्рдпाрдд рдЧрдЭрд▓рдХाрд░ рд▓ोрдХрд░ाрдо рд╢ेंрдбे рдмुрдЯीрдмोрд░ी, рдпांрдЪ्рдпा рдЕрдз्рдпрдХ्рд╖рддेрдЦाрд▓ी рдиिрдоंрдд्рд░ीрдд рдХрд╡ींрдЪी рдЧрдЭрд▓ рдоैрдлिрд▓ рд░ंрдЧрдгाрд░ рдЖрд╣े. рдпा рдоैрдлिрд▓ीрдордз्рдпे рдк्рд░рддिрдердпрд╢ рдЧрдЭрд▓рдХाрд░ांрдЪ्рдпा рдЧрдЭрд▓ांрдЪा рдЖрд╕्рд╡ाрдж рдЧрдЭрд▓ рд░рд╕िрдХांрдиा рдШेрддा рдпेрдгाрд░ рдЖрд╣े. рд╕ंрдоेрд▓рдиाрдЪ्рдпा рдЪौрде्рдпा рд╕рдд्рд░ाрдд рдк्рд░рдЦ्рдпाрдд рдХрд╡рдпिрдд्рд░ी рдЧीрддा рджेрд╡्рд╣ाрд░े-рд░ाрдпрдкुрд░े рдЪंрдж्рд░рдкूрд░, рдпांрдЪ्рдпा рдЕрдз्рдпрдХ्рд╖рддेрдЦाрд▓ी рдЦुрд▓े рдХрд╡ी рд╕ंрдоेрд▓рди рд╕ंрдкрди्рди рд╣ोрдд рдЖрд╣े. рдЦुрд▓्рдпा рдХрд╡िрд╕ंрдоेрд▓рдиाрдд рджेрдЦीрд▓ рдк्рд░рддिрдердпрд╢ рд╡ рдирд╡ोрджीрдд рдХाрд╡्рдпрдк्рд░рддिрднेрдЪी рдЬुрдЧрд▓рдмंрджी рдХाрд╡्рдпрд░рд╕िрдХांрдиा рдЕрдиुрднрд╡рддा рдпेрдгाрд░ рдЖрд╣े.
рд╕्рдоृрддिрдЧंрдз рдХाрд╡्рдпрд╕ंрдоेрд▓рдиाрдЪे рд╕рджрд░ рдЖрдпोрдЬрди рд╣े рд╡िрджрд░्рднрд╕्рддрд░ीрдп рдЕрд╕ूрди, рд╡िрджрд░्рднाрддीрд▓ рдк्рд░рдЦ्рдпाрдд рд╕ाрд╣िрдд्рдпिрдХ рд╡ рдХрд╡ींрдЪा рдоेрд│ा рдпा рдиिрдоिрдд्рддाрдиे рднрдж्рд░ाрд╡рддी рдирдЧрд░ीрдордз्рдпे рд░ंрдЧрдгाрд░ рдЖрд╣े. рдоाрдпрдмोрд▓ी рдорд░ाрдаी рд╡ рдорд░ाрдаी рд╕ाрд╣िрдд्рдпाрд╡рд░ рдк्рд░ेрдо рдХрд░рдгाрд▒्рдпा рдХाрд╡्рдпрд░рд╕िрдХांрдиी рддрд╕ेрдЪ рдирд╡ोрджिрддांрдиी рдпा рд╕ंрдоेрд▓рдиाрдЪा рд▓ाрдн рдШ्рдпाрд╡ा рдЕрд╕े рдЖрд╡ाрд╣рди рд╕्рдоृрддिрдЧंрдз рдХाрд╡्рдп рд╕ंрдоेрд▓рдиाрдЪे рд╕ंрдпोрдЬрдХ рдк्рд░рд╡ीрдг рдЖрдбेрдХрд░ рдпांрдиी рдХेрд▓े рдЖрд╣े.
Tuesday, March 5, 2024
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Saturday, March 2, 2024
рд░ाрдЬ्рдп рдорд╣िрд▓ा рдЖрдпोрдЧ рд╕рджрд╕्рдпा рд╕ंрдЧीрддा рдЪрд╡्рд╣ाрдг рдпांрдЪी рд╢िрд╡рд╕ेрдиेрдЪे рдордз्рдпрд╡рд░्рддी рдХाрд░्рдпाрд▓рдп “рд╢िрд╡ाрд▓рдп” рдпेрдеे рд╕рджिрдЪ्рдЫा рднेрдЯ
*рд░ाрдЬ्рдп рдорд╣िрд▓ा рдЖрдпोрдЧ рд╕рджрд╕्рдпा рд╕ंрдЧीрддा рдЪрд╡्рд╣ाрдг рдпांрдЪी рд╢िрд╡рд╕ेрдиेрдЪे рдордз्рдпрд╡рд░्рддी рдХाрд░्рдпाрд▓рдп “рд╢िрд╡ाрд▓рдп” рдпेрдеे рд╕рджिрдЪ्рдЫा рднेрдЯ*
*рдХрд░्рдиाрдЯрдХ рдПрдо्рдЯा рд╡ рдХेрдкीрд╕िрдПрд▓ рдХंрдкрдиी рд╡िрд░ोрдзाрдд рдЙрдкोрд╖рдгрдХрд░्рддी рдорд╣िрд▓ांрдиा рднेрдЯ рджेрдгाрд░*
рд╡рд░ोрд░ा :
рд░ाрдЬ्рдп рдорд╣िрд▓ा рдЖрдпोрдЧ рд╕рджрд╕्рдпा ре▓рдб. рд╕ंрдЧीрддा рдЪрд╡्рд╣ाрдг рдпा рдЪंрдж्рд░рдкूрд░ рдЬिрд▓्рд╣्рдпाрдЪ्рдпा рджौрд▒्рдпाрд╡рд░ рдЕрд╕рддांрдиा рдЖрдЬ рджि. 02 рд▓ा “рд╢िрд╡ाрд▓рдп” рд╢िрд╡рд╕ेрдиा рдордз्рдпрд╡рд░्рддी рдХाрд░्рдпाрд▓рдп рд╡рд░ोрд░ा рдпेрдеीрд▓ рдХाрд░्рдпाрд▓рдпाрд╕ рд╕рджिрдЪ्рдЫा рднेрдЯ рджिрд▓ी. рдпाрдк्рд░рд╕ंрдЧी рдоौрдЬा рдмрд░ांрдЬ рдоोрдХाрд╕ा рдпेрдеे рдХрд░्рдиाрдЯрдХ рдПрдо्рдЯा рдХंрдкрдиी рд╡ рдХेрдкीрд╕िрдПрд▓ рдХंрдкрдиी рдиिрдпрдордмाрд╣्рдп рд╡ рдмेрдХाрдпрджेрд╢िрд░ рдХुрдард▓ाрд╣ी рддाрдмा рди рдШेрддा рдЕрд╡ैрдз рдЙрдд्рдЦрдирди рдХрд░ीрдд рдЕрд╕рд▓्рдпाрдоुрд│े рддрд╕ेрдЪ рдЧाрд╡рдХрд▒्рдпांрд╡рд░ рдЕрди्рдпाрдп рдЕрдд्рдпाрдЪाрд░ рдХрд░ीрдд рдЕрд╕ूрди рдд्рдпांрдиा рди्рдпाрдп рд╡ рд╣рдХ्рдХ рдоिрд│рдг्рдпाрдмाрдмрдд рддрд╕ेрдЪ рдпाрд╕ंрдмрдзाрдиे рдмрд░ांрдЬ рдоोрдХाрд╕ा рдпेрдеीрд▓ рдорд╣िрд▓ांрдЪे рд╕ुрд░ू рдЕрд╕рдгाрд░े рдЙрдкोрд╖рдгाрдмाрдмрдд рдоाрд╣िрддी рджेрдг्рдпाрдд рдЖрд▓ी.
“рд╢िрд╡ाрд▓рдп” рд╕рджिрдЪ्рдЫा рднेрдЯीрдк्рд░рд╕ंрдЧी рдд्рдпांрдиा рдорд╣ाрд░ाрд╖्рдЯ्рд░ाрдЪे рдЖрд░ाрдз्рдп рджैрд╡рдд рдЫрдд्рд░рдкрддी рд╢िрд╡ाрдЬी рдорд╣ाрд░ाрдЬ рдпांрдЪे рдоाрдирдЪिрди्рд╣, рд╢ॉрд▓ рд╡ рдкुрд╖्рдкрдЧुрдЪ्рдЫ рджेрд╡ुрди рдЪंрдж्рд░рдкूрд░ рдЬिрд▓्рд╣ा рд╕ंрдШрдЯीрдХा рдирд░्рдорджा рдмोрд░ेрдХрд░ рдпांрдЪ्рдпा рд╣рд╕्рддे рд╕рдд्рдХाрд░ рдХрд░рдг्рдпाрдд рдЖрд▓ा. рдд्рдпांрдЪ्рдпाрд╕ोрдмрдд рдЕрд╕рд▓ेрд▓्рдпा рд╢िрд╡рд╕ेрдиा рдорд╣िрд▓ा рдЬिрд▓्рд╣ा рд╕ंрдШрдЯीрдХा рдЧрдбрдЪिрд░ोрд▓ी рдЫाрдпा рдХुंрднाрд░े, рдЪंрдж्рд░рдкूрд░ рдоाрдЬी рдЬिрд▓्рд╣ा рд╕ंрдШрдЯीрдХा рдиिрд▓ीрдоा рд╢िंрджे, рдЪंрдж्рд░рдкूрд░ рдЬिрд▓्рд╣ा рд╕ंрдШрдЯीрдХा рдЙрдЬ्рд╡рд▓ा рдирд▓рдЧे рдпांрдЪाрд╕ुрдз्рджा рдЫрдд्рд░рдкрддी рд╢िрд╡ाрдЬी рдорд╣ाрд░ाрдЬ рдпांрдЪे рдоाрдирдЪिрди्рд╣, рд╢ॉрд▓ рд╡ рдкुрд╖्рдкрдЧुрдЪ्рдЫ рджेрд╡ुрди рд╕рди्рдоाрди рдХрд░рдг्рдпाрдд рдЖрд▓ा.
рдЙрдкोрд╖рдгрдХрд░्рдд्рдпा рдорд╣िрд▓ांрдиा рдпाрд╡ेрд│ी рдЙрдкोрд╖рдгाрд╕ंрджрд░्рднाрдиे рдпा рдк्рд░рдХрд░рдгाрд╕ंрдмंрдзाрдиे рд╕ंрдкुрд░्рдг рдХाрдЧрджрдкрдд्рд░ाрдЪी рдоाрдЧрдгी рдХेрд▓ी рддрд╕ेрдЪ рддेрдеीрд▓ рдЙрдкोрд╖рдгрдЧ्рд░рд╕्рдд рдорд╣िрд▓ांрдиा рднेрдЯ рджेрдгाрд░ рдЕрд╕рд▓्рдпाрдЪे рдпाрд╡ेрд│ी рд░ाрдЬ्рдп рдорд╣िрд▓ा рдЖрдпोрдЧ рд╕рджрд╕्рдпा рд╕ंрдЧीрддा рдЪрд╡्рд╣ाрдг рдмोрд▓рд▓्рдпा. рдд्рдпांрдиी рдЖрдкрд▓्рдпा рдоाрд░्рдЧрджрд░्рд╢рдкрд░ рднाрд╖рдгाрдд рд░ाрдЬ्рдп рдорд╣िрд▓ा рдЖрдпोрдЧाрдмाрдмрдд рдЙрдкрд╕्рдеिрдд рдоंрдбрд│ीрдиा рдоाрд╣िрддी рджिрд▓ी рддрд╕ेрдЪ рдорд╣िрд▓ांрдЪे рд╕рдХ्рд╖рдоीрдХрд░рдг рд╡ рдорд╣िрд▓ांрдХрд░ीрддा рдорд╣िрд▓ा рдЖрдпोрдЧ рдХाрдп рднुрдоिрдХा рдмрдЬाрд╡рддो рдпाрд╡рд░ рдпोрдЧ्рдп рдоाрд░्рдЧрджрд░्рд╢рди рдХрд░ीрдд, рдорд╣िрд▓ांрдиा рдХोрдгрддीрд╣ी рдорджрдд рд▓ाрдЧрд▓्рдпाрд╕ рдорджрдд рдХрд░рдг्рдпाрдЪे рдЖрд╢्рд╡ाрд╕рди рджिрд▓े.
рдпाрд╡ेрд│ी рдЪंрдж्рд░рдкुрд░ рдЬिрд▓्рд╣ा рд╕ंрдШрдЯीрдХा рдирд░्рдорджा рдмोрд░ेрдХрд░, рд╡рд░ोрд░ा рд╡िрдзाрдирд╕рднा рдк्рд░рдоुрдЦ рд░рд╡िंрдж्рд░ рд╢्рд░ीрдиिрд╡ाрд╕рд░ाрд╡ рд╢िंрджे, рд╡рд░ोрд░ा рддाрд▓ुрдХा рдк्рд░рдоुрдЦ рддрдеा рд╕ंрдЪाрд▓рдХ рдХृ.рдЙ.рдмा.рд╕.рд╡рд░ोрд░ा рджрдд्рддा рдмोрд░ेрдХрд░, рдЙрдкрддाрд▓ुрдХा рдк्рд░рдоुрдЦ рддрдеा рд╡рд░ोрд░ा рдХृ.рдЙ.рдмा.рд╕. рд╕ंрдЪाрд▓рдХ рдЕрднिрдЬीрдд рдкाрд╡рдбे, рдЪंрдж्рд░рдкुрд░ рдЬिрд▓्рд╣ा рдпुрд╡рддी рд╕ेрдиा рдЕрдзिрдХाрд░ी рдк्рд░рддिрднा рдоांрдбрд╡рдХрд░, рд╡рд░ोрд░ा рддाрд▓ुрдХा рд╕ंрдШрдЯीрдХा рд╕рд░рд▓ा рдоाрд▓ोрдХрд░, рд╡рд░ोрд░ा рд╢рд╣рд░ рд╕ंрдШрдЯीрдХा рд╢ुрднांрдЧी рдЕрд╣िрд░рдХрд░, рдЙрдкрддाрд▓ुрдХा рд╕ंрдШрдЯीрдХा рд╕्рдоीрддा рддाрдЯेрд╡ाрд░, рдЙрдкрд╢рд╣рд░ рдк्рд░рдоुрдЦ рдЕрдиिрд▓ рд╕िंрдЧ, рдЕрдзिрд╡рдХ्рддा рд╡िрдиोрдж рдЦोрдм्рд░ाрдЧрдбे, рджुрд░्рдЧा рдЦрдирдХे, рдоुрдХ्рддा рд╣рдЬाрд░े, рд▓рддा рджाрддे, рд╕ुрдк्рд░рднा рдорд╕्рдХी, рд╕ाрдХ्рд╖ी рджौрд▓рддрдХрд░ рд╡ рдЕрдиेрдХ рдорд╣िрд▓ा рд╡ рдкुрд░ूрд╖ рдкрджाрдзिрдХाрд░ी рдЙрдкрд╕्рдеिрдд рд╣ोрддे.
Friday, March 1, 2024
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