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) тАУ Voice-driven text editor
Launch HN: Aqua Voice (YC W24) тАУ Voice-driven text editor
369 by the_king | 125 comments on Hacker News.
Hey HN! WeтАЩre 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: тАЬmake this a listтАЭ or тАЬitтАЩs Erin with an EтАЭ or тАЬadd an inline citation here for page 86 of this bookтАЭ. 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 donтАЩt have any commands. Outside of these rules, the models have no sense for what is an instruction and what is content. You canтАЩt say тАЬand format this like an emailтАЭ or тАЬmake the last bullet point shorterтАЭ. 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 weтАЩve 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. ItтАЩs 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, itтАЩs $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 isnтАЩt cheap.) WeтАЩd love to hear your ideas and comments with voice-to-text!
369 by the_king | 125 comments on Hacker News.
Hey HN! WeтАЩre 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: тАЬmake this a listтАЭ or тАЬitтАЩs Erin with an EтАЭ or тАЬadd an inline citation here for page 86 of this bookтАЭ. 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 donтАЩt have any commands. Outside of these rules, the models have no sense for what is an instruction and what is content. You canтАЩt say тАЬand format this like an emailтАЭ or тАЬmake the last bullet point shorterтАЭ. 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 weтАЩve 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. ItтАЩs 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, itтАЩs $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 isnтАЩt cheap.) WeтАЩd love to hear your ideas and comments with voice-to-text!
New best story on Hacker News: Launch HN: Aqua Voice (YC W24) тАУ Voice-driven text editor
Launch HN: Aqua Voice (YC W24) тАУ Voice-driven text editor
349 by the_king | 124 comments on Hacker News.
Hey HN! WeтАЩre 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: тАЬmake this a listтАЭ or тАЬitтАЩs Erin with an EтАЭ or тАЬadd an inline citation here for page 86 of this bookтАЭ. 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 donтАЩt have any commands. Outside of these rules, the models have no sense for what is an instruction and what is content. You canтАЩt say тАЬand format this like an emailтАЭ or тАЬmake the last bullet point shorterтАЭ. 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 weтАЩve 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. ItтАЩs 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, itтАЩs $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 isnтАЩt cheap.) WeтАЩd love to hear your ideas and comments with voice-to-text!
349 by the_king | 124 comments on Hacker News.
Hey HN! WeтАЩre 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: тАЬmake this a listтАЭ or тАЬitтАЩs Erin with an EтАЭ or тАЬadd an inline citation here for page 86 of this bookтАЭ. 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 donтАЩt have any commands. Outside of these rules, the models have no sense for what is an instruction and what is content. You canтАЩt say тАЬand format this like an emailтАЭ or тАЬmake the last bullet point shorterтАЭ. 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 weтАЩve 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. ItтАЩs 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, itтАЩs $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 isnтАЩt cheap.) WeтАЩd 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 тАУ FOSS Google Photos alternative built for high performance
Show HN: Memories тАУ 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 тАУ FOSS Google Photos alternative built for high performance
Show HN: Memories тАУ 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
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*рдбреЙ. рдкреНрд░рддрд┐рдорд╛ рдЗрдВрдЧреЛрд▓реЗ рдпрд╛рдВрдЪреНрдпрд╛ рдЕрдзреНрдпрдХреНрд╖рддреЗрдд рднрджреНрд░рд╛рд╡рддреАрдд 17 рдорд╛рд░реНрдЪрд▓рд╛ рд╕рд╛рддрд╡реЗ рд╕реНрдореГрддрд┐рдЧрдВрдз рдХрд╛рд╡реНрдпрд╕рдВрдореЗрд▓рди*
*рд╕реНрд╡. рд╡рд┐рдгрд╛ рдЖрдбреЗрдХрд░ рд╕реНрдореГрддреА рдкреНрд░рддрд┐рд╖реНрдард╛рдирдЪреЗ рдЖрдпреЛрдЬрди*
рд╕реНрд╡. рд╡рд┐рдгрд╛ рдЖрдбреЗрдХрд░ рд╕реНрдореГрддреА рдкреНрд░рддрд┐рд╖реНрдард╛рди рднрджреНрд░рд╛рд╡рддреАрдЪреНрдпрд╛ рд╡рддреАрдиреЗ рд╕реНрдерд╛рдиреАрдХ рд╢реНрд░реА рдореБрд░рд▓реАрдзрд░ рдкрд╛рдЯреАрд▓ рдЧреБрдВрдбрд╛рд╡рд╛рд░ рд╕рднрд╛рдЧреГрд╣ рдпреЗрдереЗ рд░рд╡рд┐рд╡рд╛рд░ рджрд┐рдирд╛рдВрдХ 17 рдорд╛рд░реНрдЪ 2024 рд▓рд╛ рд╕рд╛рддрд╡реЗ рд╕реНрдореГрддрд┐рдЧрдВрдз рдХрд╛рд╡реНрдпрд╕рдВрдореЗрд▓рди рд╕рдВрдкрдиреНрди рд╣реЛрдд рдЖрд╣реЗ. рдирд╡реЛрджреАрдд рд╡ рдкреНрд░рдерд┐рддрдпрд╢ рдХрд╛рд╡реНрдпрдкреНрд░рддрд┐рднреЗрдЪрд╛ рд╕рдиреНрдорд╛рди рдЖрдгрд┐ рдорд░рд╛рдареА рдХрд╛рд╡реНрдп рд░рд╕рд┐рдХрд╛рдВрдЪреНрдпрд╛ рдЖрд╕реНрд╡рд╛рджрдХрддреЗрд╕ рдкреНрд░реЛрддреНрд╕рд╛рд╣рди рджреЗрдгреНрдпрд╛рд╕рд╛рдареА рд╣реНрдпрд╛ рд╕рдВрдореЗрд▓рдирд╛рдЪреЗ рдкреНрд░рдпреЛрдЬрди рдЖрд╣реЗ. рд╕рдВрдореЗрд▓рдирд╛рдзреНрдпрдХреНрд╖ рдЬреНрдпреЗрд╖реНрда рд╕рд╛рд╣рд┐рддреНрдпрд┐рдХ рд╡ рдкреНрд░рд╕рд┐рдзреНрдж рдХрд╡рдпрд┐рддреНрд░реА рдбреЙ. рдкреНрд░рддрд┐рдорд╛ рдЗрдВрдЧреЛрд▓реЗ рджрд╛рдирд╛рдкреВрд░ (рдЕрдХреЛрд▓рд╛), рдпрд╛рдВрдЪреНрдпрд╛ рдЕрдзреНрдпрдХреНрд╖рддреЗрдЦрд╛рд▓реА рдкреНрд░рдЦреНрдпрд╛рдд рдХрд╡рдпрд┐рддреНрд░реА рдбреЙ. рд╕рдВрдзреНрдпрд╛ рдкрд╡рд╛рд░ рдирд╛рдЧрдкреВрд░, рдпрд╛рдВрдЪреНрдпрд╛ рд╢реБрднрд╣рд╕реНрддреЗ рдпрд╛ рдирд┐рдпреЛрдЬреАрдд рд╕рдВрдореЗрд▓рдирд╛рдЪреЗ рдЙрджреНрдШрд╛рдЯрди рд╕рдХрд╛рд│реА рдард┐рдХ 10.30 рд╡рд╛. рд╕рдВрдкрдиреНрди рд╣реЛрдд рдЖрд╣реЗ. рдпрд╛рд╡реЗрд│реА рдкреНрд░рдореВрдЦ рдЕрддрд┐рдереА рдореНрд╣рдгреВрди рдЬреНрдпреЗрд╖реНрда рд╕рд╣рд┐рддреНрдпрд┐рдХ рдЖрдЪрд╛рд░реНрдп рдирд╛.рдЧреЛ.рдереБрдЯреЗ рд╡рд░реЛрд░рд╛, рд╕реБрдкреНрд░рд╕рд┐рджреНрдз рдЧреНрд░рд╛рдореАрдг рдХрдерд╛рдХрд╛рд░ рд╡ рдХреГрд╖реА рддрдЬреНрдЬреНрдЮ рдЕрдирдВрдд рднреЛрдпрд░ рдХрд╛рдЯреЛрд▓, рдбреЙ. рдкреНрд░рдХрд╛рд╢ рдорд╣рд╛рдХрд╛рд│рдХрд░ рдЧрдЯрд╢рд┐рдХреНрд╖рдгрд╛рдзрд┐рдХрд╛рд░реА рдк.рд╕. рднрджреНрд░рд╛рд╡рддреА, рдЕрдореАрдд рдЧреБрдВрдбрд╛рд╡рд╛рд░ рд╕рд╛рдорд╛рдЬрд┐рдХ рдХрд╛рд░реНрдпрдХрд░реНрддреЗ рднрджреНрд░рд╛рд╡рддреА, рдИрддреНрдпрд╛рджреА рдорд╛рдиреНрдпрд╡рд░ рдЙрдкрд╕реНрдерд┐рдд рд░рд╛рд╣рддреАрд▓. рднрджреНрд░рд╛рд╡рддреАрдЪреЗ рдорд╛рдЬреА рдирдЧрд░рд╛рдзреНрдпрдХреНрд╖ рдЕрдирд┐рд▓ рдзрд╛рдиреЛрд░рдХрд░ рдпрд╛ рдХрд╛рд╡реНрдпрд╕рдВрдореЗрд▓рдирд╛рдЪреЗ рдирд┐рдорд┐рддреНрддрд╛рдиреЗ рд╡рд┐рд╢реЗрд╖ рдЕрддрд┐рдереА рдореНрд╣рдгреВрди рдпрд╛рд╡реЗрд│реА рдЙрдкрд╕реНрдерд┐рдд рдЕрд╕рддреАрд▓.
рдкреНрд░рд╕реНрддреВрдд рдХрд╛рд╡реНрдп рд╕рдВрдореЗрд▓рди рдХрд╡реА рдЖрдгрд┐ рдХрд╡рд┐рддреЗрдЪрд╛ рд╢рдмреНрдж-рднрд╛рд╡-рдЕрдиреБрднреВрддреАрдЪрд╛ рдЖрдирдВрджрдореЗрд│рд╛рдЪ рдЕрд╕реВрди, рдпрд╛ рдПрдХрджрд┐рд╡рд╕реАрдп рдХрд╛рд╡реНрдпрд╕рдВрдореЗрд▓рдирд╛рдд рджреЛрди рдХрд╡рд┐рд╕рдВрдореЗрд▓рдиреЗ рд╡ рдПрдХрд╛ рдЧрдЭрд▓ рдореИрдлрд┐рд▓реАрдЪреЗ рдЖрдпреЛрдЬрди рдХрд░рдгреНрдпрд╛рдд рдЖрд▓реЗ рдЖрд╣реЗ. рднрд░рдЧрдЪреНрдЪ рдЪрд╛рд░ рд╕рддреНрд░рд╛рдВрдордзреНрдпреЗ рд╣реЛрдд рдЕрд╕рд▓реЗрд▓реНрдпрд╛ рдпрд╛ рд╕рд╛рд╣рд┐рддреНрдпрд╕реЛрд╣рд│реНрдпрд╛рдд рд╡рд╛рдЩреНрдордпреАрди рдЪрд┐рдВрддрдирд╛рд╕реЛрдмрддрдЪ рдХрд╛рд╡реНрдпрд╛рдореГрддрд╛рдЪреЗ рд╕рд┐рдВрдЪрди рд╣реЛрдгрд╛рд░ рдЖрд╣реЗ.рд╕рдВрдореЗрд▓рдирд╛рдЪреНрдпрд╛ рджреБрд╕рд▒реНрдпрд╛ рд╕рддреНрд░рд╛рдд рд╕рдВрдореЗрд▓рдирд╛рдзреНрдпрдХреНрд╖ рдбреЙ. рдкреНрд░рддрд┐рдорд╛ рдЗрдВрдЧреЛрд▓реЗ рдпрд╛рдВрдЪреНрдпрд╛ рдЕрдзреНрдпрдХреНрд╖рддреЗрдЦрд╛рд▓реА рдирд┐рдордВрддреНрд░реАрдд рдХрд╡реАрдВрдЪреЗ рдмрд╣рд╛рд░рджрд╛рд░ рдХрд╡рд┐рд╕рдВрдореЗрд▓рди рд╕рдВрдкрдиреНрди рд╣реЛрдд рдЖрд╣реЗ. рд╡рд┐рджрд░реНрднрд╛рддреАрд▓ рдирд╛рдорд╡рдВрдд рдХрд╡реА рдпрд╛ рд╕рдВрдореЗрд▓рдирд╛рд▓рд╛ рдЙрдкрд╕реНрдерд┐рдд рд░рд╛рд╣рдгрд╛рд░ рдЕрд╕реВрди, рдорд░рд╛рдареА рдХрд╛рд╡реНрдпрд░рд╕рд┐рдХрд╛рдВрдирд╛ рд╣реА рдПрдХ рдореЛрдареА рдкрд░реНрд╡рдгреАрдЪ рдЕрд╕рдгрд╛рд░ рдЖрд╣реЗ. рддрд┐рд╕рд▒реНрдпрд╛ рд╕рддреНрд░рд╛рдд, рдкреНрд░рдЦреНрдпрд╛рдд рдЧрдЭрд▓рдХрд╛рд░ рд▓реЛрдХрд░рд╛рдо рд╢реЗрдВрдбреЗ рдмреБрдЯреАрдмреЛрд░реА, рдпрд╛рдВрдЪреНрдпрд╛ рдЕрдзреНрдпрдХреНрд╖рддреЗрдЦрд╛рд▓реА рдирд┐рдордВрддреНрд░реАрдд рдХрд╡реАрдВрдЪреА рдЧрдЭрд▓ рдореИрдлрд┐рд▓ рд░рдВрдЧрдгрд╛рд░ рдЖрд╣реЗ. рдпрд╛ рдореИрдлрд┐рд▓реАрдордзреНрдпреЗ рдкреНрд░рддрд┐рдердпрд╢ рдЧрдЭрд▓рдХрд╛рд░рд╛рдВрдЪреНрдпрд╛ рдЧрдЭрд▓рд╛рдВрдЪрд╛ рдЖрд╕реНрд╡рд╛рдж рдЧрдЭрд▓ рд░рд╕рд┐рдХрд╛рдВрдирд╛ рдШреЗрддрд╛ рдпреЗрдгрд╛рд░ рдЖрд╣реЗ. рд╕рдВрдореЗрд▓рдирд╛рдЪреНрдпрд╛ рдЪреМрдереНрдпрд╛ рд╕рддреНрд░рд╛рдд рдкреНрд░рдЦреНрдпрд╛рдд рдХрд╡рдпрд┐рддреНрд░реА рдЧреАрддрд╛ рджреЗрд╡реНрд╣рд╛рд░реЗ-рд░рд╛рдпрдкреБрд░реЗ рдЪрдВрджреНрд░рдкреВрд░, рдпрд╛рдВрдЪреНрдпрд╛ рдЕрдзреНрдпрдХреНрд╖рддреЗрдЦрд╛рд▓реА рдЦреБрд▓реЗ рдХрд╡реА рд╕рдВрдореЗрд▓рди рд╕рдВрдкрдиреНрди рд╣реЛрдд рдЖрд╣реЗ. рдЦреБрд▓реНрдпрд╛ рдХрд╡рд┐рд╕рдВрдореЗрд▓рдирд╛рдд рджреЗрдЦреАрд▓ рдкреНрд░рддрд┐рдердпрд╢ рд╡ рдирд╡реЛрджреАрдд рдХрд╛рд╡реНрдпрдкреНрд░рддрд┐рднреЗрдЪреА рдЬреБрдЧрд▓рдмрдВрджреА рдХрд╛рд╡реНрдпрд░рд╕рд┐рдХрд╛рдВрдирд╛ рдЕрдиреБрднрд╡рддрд╛ рдпреЗрдгрд╛рд░ рдЖрд╣реЗ.
рд╕реНрдореГрддрд┐рдЧрдВрдз рдХрд╛рд╡реНрдпрд╕рдВрдореЗрд▓рдирд╛рдЪреЗ рд╕рджрд░ рдЖрдпреЛрдЬрди рд╣реЗ рд╡рд┐рджрд░реНрднрд╕реНрддрд░реАрдп рдЕрд╕реВрди, рд╡рд┐рджрд░реНрднрд╛рддреАрд▓ рдкреНрд░рдЦреНрдпрд╛рдд рд╕рд╛рд╣рд┐рддреНрдпрд┐рдХ рд╡ рдХрд╡реАрдВрдЪрд╛ рдореЗрд│рд╛ рдпрд╛ рдирд┐рдорд┐рддреНрддрд╛рдиреЗ рднрджреНрд░рд╛рд╡рддреА рдирдЧрд░реАрдордзреНрдпреЗ рд░рдВрдЧрдгрд╛рд░ рдЖрд╣реЗ. рдорд╛рдпрдмреЛрд▓реА рдорд░рд╛рдареА рд╡ рдорд░рд╛рдареА рд╕рд╛рд╣рд┐рддреНрдпрд╛рд╡рд░ рдкреНрд░реЗрдо рдХрд░рдгрд╛рд▒реНрдпрд╛ рдХрд╛рд╡реНрдпрд░рд╕рд┐рдХрд╛рдВрдиреА рддрд╕реЗрдЪ рдирд╡реЛрджрд┐рддрд╛рдВрдиреА рдпрд╛ рд╕рдВрдореЗрд▓рдирд╛рдЪрд╛ рд▓рд╛рдн рдШреНрдпрд╛рд╡рд╛ рдЕрд╕реЗ рдЖрд╡рд╛рд╣рди рд╕реНрдореГрддрд┐рдЧрдВрдз рдХрд╛рд╡реНрдп рд╕рдВрдореЗрд▓рдирд╛рдЪреЗ рд╕рдВрдпреЛрдЬрдХ рдкреНрд░рд╡реАрдг рдЖрдбреЗрдХрд░ рдпрд╛рдВрдиреА рдХреЗрд▓реЗ рдЖрд╣реЗ.
Tuesday, March 5, 2024
Monday, March 4, 2024
Sunday, March 3, 2024
Saturday, March 2, 2024
рд░рд╛рдЬреНрдп рдорд╣рд┐рд▓рд╛ рдЖрдпреЛрдЧ рд╕рджрд╕реНрдпрд╛ рд╕рдВрдЧреАрддрд╛ рдЪрд╡реНрд╣рд╛рдг рдпрд╛рдВрдЪреА рд╢рд┐рд╡рд╕реЗрдиреЗрдЪреЗ рдордзреНрдпрд╡рд░реНрддреА рдХрд╛рд░реНрдпрд╛рд▓рдп тАЬрд╢рд┐рд╡рд╛рд▓рдптАЭ рдпреЗрдереЗ рд╕рджрд┐рдЪреНрдЫрд╛ рднреЗрдЯ
*рд░рд╛рдЬреНрдп рдорд╣рд┐рд▓рд╛ рдЖрдпреЛрдЧ рд╕рджрд╕реНрдпрд╛ рд╕рдВрдЧреАрддрд╛ рдЪрд╡реНрд╣рд╛рдг рдпрд╛рдВрдЪреА рд╢рд┐рд╡рд╕реЗрдиреЗрдЪреЗ рдордзреНрдпрд╡рд░реНрддреА рдХрд╛рд░реНрдпрд╛рд▓рдп тАЬрд╢рд┐рд╡рд╛рд▓рдптАЭ рдпреЗрдереЗ рд╕рджрд┐рдЪреНрдЫрд╛ рднреЗрдЯ*
*рдХрд░реНрдирд╛рдЯрдХ рдПрдореНрдЯрд╛ рд╡ рдХреЗрдкреАрд╕рд┐рдПрд▓ рдХрдВрдкрдиреА рд╡рд┐рд░реЛрдзрд╛рдд рдЙрдкреЛрд╖рдгрдХрд░реНрддреА рдорд╣рд┐рд▓рд╛рдВрдирд╛ рднреЗрдЯ рджреЗрдгрд╛рд░*
рд╡рд░реЛрд░рд╛ :
рд░рд╛рдЬреНрдп рдорд╣рд┐рд▓рд╛ рдЖрдпреЛрдЧ рд╕рджрд╕реНрдпрд╛ ре▓рдб. рд╕рдВрдЧреАрддрд╛ рдЪрд╡реНрд╣рд╛рдг рдпрд╛ рдЪрдВрджреНрд░рдкреВрд░ рдЬрд┐рд▓реНрд╣реНрдпрд╛рдЪреНрдпрд╛ рджреМрд▒реНрдпрд╛рд╡рд░ рдЕрд╕рддрд╛рдВрдирд╛ рдЖрдЬ рджрд┐. 02 рд▓рд╛ тАЬрд╢рд┐рд╡рд╛рд▓рдптАЭ рд╢рд┐рд╡рд╕реЗрдирд╛ рдордзреНрдпрд╡рд░реНрддреА рдХрд╛рд░реНрдпрд╛рд▓рдп рд╡рд░реЛрд░рд╛ рдпреЗрдереАрд▓ рдХрд╛рд░реНрдпрд╛рд▓рдпрд╛рд╕ рд╕рджрд┐рдЪреНрдЫрд╛ рднреЗрдЯ рджрд┐рд▓реА. рдпрд╛рдкреНрд░рд╕рдВрдЧреА рдореМрдЬрд╛ рдмрд░рд╛рдВрдЬ рдореЛрдХрд╛рд╕рд╛ рдпреЗрдереЗ рдХрд░реНрдирд╛рдЯрдХ рдПрдореНрдЯрд╛ рдХрдВрдкрдиреА рд╡ рдХреЗрдкреАрд╕рд┐рдПрд▓ рдХрдВрдкрдиреА рдирд┐рдпрдордмрд╛рд╣реНрдп рд╡ рдмреЗрдХрд╛рдпрджреЗрд╢рд┐рд░ рдХреБрдард▓рд╛рд╣реА рддрд╛рдмрд╛ рди рдШреЗрддрд╛ рдЕрд╡реИрдз рдЙрддреНрдЦрдирди рдХрд░реАрдд рдЕрд╕рд▓реНрдпрд╛рдореБрд│реЗ рддрд╕реЗрдЪ рдЧрд╛рд╡рдХрд▒реНрдпрд╛рдВрд╡рд░ рдЕрдиреНрдпрд╛рдп рдЕрддреНрдпрд╛рдЪрд╛рд░ рдХрд░реАрдд рдЕрд╕реВрди рддреНрдпрд╛рдВрдирд╛ рдиреНрдпрд╛рдп рд╡ рд╣рдХреНрдХ рдорд┐рд│рдгреНрдпрд╛рдмрд╛рдмрдд рддрд╕реЗрдЪ рдпрд╛рд╕рдВрдмрдзрд╛рдиреЗ рдмрд░рд╛рдВрдЬ рдореЛрдХрд╛рд╕рд╛ рдпреЗрдереАрд▓ рдорд╣рд┐рд▓рд╛рдВрдЪреЗ рд╕реБрд░реВ рдЕрд╕рдгрд╛рд░реЗ рдЙрдкреЛрд╖рдгрд╛рдмрд╛рдмрдд рдорд╛рд╣рд┐рддреА рджреЗрдгреНрдпрд╛рдд рдЖрд▓реА.
тАЬрд╢рд┐рд╡рд╛рд▓рдптАЭ рд╕рджрд┐рдЪреНрдЫрд╛ рднреЗрдЯреАрдкреНрд░рд╕рдВрдЧреА рддреНрдпрд╛рдВрдирд╛ рдорд╣рд╛рд░рд╛рд╖реНрдЯреНрд░рд╛рдЪреЗ рдЖрд░рд╛рдзреНрдп рджреИрд╡рдд рдЫрддреНрд░рдкрддреА рд╢рд┐рд╡рд╛рдЬреА рдорд╣рд╛рд░рд╛рдЬ рдпрд╛рдВрдЪреЗ рдорд╛рдирдЪрд┐рдиреНрд╣, рд╢реЙрд▓ рд╡ рдкреБрд╖реНрдкрдЧреБрдЪреНрдЫ рджреЗрд╡реБрди рдЪрдВрджреНрд░рдкреВрд░ рдЬрд┐рд▓реНрд╣рд╛ рд╕рдВрдШрдЯреАрдХрд╛ рдирд░реНрдорджрд╛ рдмреЛрд░реЗрдХрд░ рдпрд╛рдВрдЪреНрдпрд╛ рд╣рд╕реНрддреЗ рд╕рддреНрдХрд╛рд░ рдХрд░рдгреНрдпрд╛рдд рдЖрд▓рд╛. рддреНрдпрд╛рдВрдЪреНрдпрд╛рд╕реЛрдмрдд рдЕрд╕рд▓реЗрд▓реНрдпрд╛ рд╢рд┐рд╡рд╕реЗрдирд╛ рдорд╣рд┐рд▓рд╛ рдЬрд┐рд▓реНрд╣рд╛ рд╕рдВрдШрдЯреАрдХрд╛ рдЧрдбрдЪрд┐рд░реЛрд▓реА рдЫрд╛рдпрд╛ рдХреБрдВрднрд╛рд░реЗ, рдЪрдВрджреНрд░рдкреВрд░ рдорд╛рдЬреА рдЬрд┐рд▓реНрд╣рд╛ рд╕рдВрдШрдЯреАрдХрд╛ рдирд┐рд▓реАрдорд╛ рд╢рд┐рдВрджреЗ, рдЪрдВрджреНрд░рдкреВрд░ рдЬрд┐рд▓реНрд╣рд╛ рд╕рдВрдШрдЯреАрдХрд╛ рдЙрдЬреНрд╡рд▓рд╛ рдирд▓рдЧреЗ рдпрд╛рдВрдЪрд╛рд╕реБрдзреНрджрд╛ рдЫрддреНрд░рдкрддреА рд╢рд┐рд╡рд╛рдЬреА рдорд╣рд╛рд░рд╛рдЬ рдпрд╛рдВрдЪреЗ рдорд╛рдирдЪрд┐рдиреНрд╣, рд╢реЙрд▓ рд╡ рдкреБрд╖реНрдкрдЧреБрдЪреНрдЫ рджреЗрд╡реБрди рд╕рдиреНрдорд╛рди рдХрд░рдгреНрдпрд╛рдд рдЖрд▓рд╛.
рдЙрдкреЛрд╖рдгрдХрд░реНрддреНрдпрд╛ рдорд╣рд┐рд▓рд╛рдВрдирд╛ рдпрд╛рд╡реЗрд│реА рдЙрдкреЛрд╖рдгрд╛рд╕рдВрджрд░реНрднрд╛рдиреЗ рдпрд╛ рдкреНрд░рдХрд░рдгрд╛рд╕рдВрдмрдВрдзрд╛рдиреЗ рд╕рдВрдкреБрд░реНрдг рдХрд╛рдЧрджрдкрддреНрд░рд╛рдЪреА рдорд╛рдЧрдгреА рдХреЗрд▓реА рддрд╕реЗрдЪ рддреЗрдереАрд▓ рдЙрдкреЛрд╖рдгрдЧреНрд░рд╕реНрдд рдорд╣рд┐рд▓рд╛рдВрдирд╛ рднреЗрдЯ рджреЗрдгрд╛рд░ рдЕрд╕рд▓реНрдпрд╛рдЪреЗ рдпрд╛рд╡реЗрд│реА рд░рд╛рдЬреНрдп рдорд╣рд┐рд▓рд╛ рдЖрдпреЛрдЧ рд╕рджрд╕реНрдпрд╛ рд╕рдВрдЧреАрддрд╛ рдЪрд╡реНрд╣рд╛рдг рдмреЛрд▓рд▓реНрдпрд╛. рддреНрдпрд╛рдВрдиреА рдЖрдкрд▓реНрдпрд╛ рдорд╛рд░реНрдЧрджрд░реНрд╢рдкрд░ рднрд╛рд╖рдгрд╛рдд рд░рд╛рдЬреНрдп рдорд╣рд┐рд▓рд╛ рдЖрдпреЛрдЧрд╛рдмрд╛рдмрдд рдЙрдкрд╕реНрдерд┐рдд рдордВрдбрд│реАрдирд╛ рдорд╛рд╣рд┐рддреА рджрд┐рд▓реА рддрд╕реЗрдЪ рдорд╣рд┐рд▓рд╛рдВрдЪреЗ рд╕рдХреНрд╖рдореАрдХрд░рдг рд╡ рдорд╣рд┐рд▓рд╛рдВрдХрд░реАрддрд╛ рдорд╣рд┐рд▓рд╛ рдЖрдпреЛрдЧ рдХрд╛рдп рднреБрдорд┐рдХрд╛ рдмрдЬрд╛рд╡рддреЛ рдпрд╛рд╡рд░ рдпреЛрдЧреНрдп рдорд╛рд░реНрдЧрджрд░реНрд╢рди рдХрд░реАрдд, рдорд╣рд┐рд▓рд╛рдВрдирд╛ рдХреЛрдгрддреАрд╣реА рдорджрдд рд▓рд╛рдЧрд▓реНрдпрд╛рд╕ рдорджрдд рдХрд░рдгреНрдпрд╛рдЪреЗ рдЖрд╢реНрд╡рд╛рд╕рди рджрд┐рд▓реЗ.
рдпрд╛рд╡реЗрд│реА рдЪрдВрджреНрд░рдкреБрд░ рдЬрд┐рд▓реНрд╣рд╛ рд╕рдВрдШрдЯреАрдХрд╛ рдирд░реНрдорджрд╛ рдмреЛрд░реЗрдХрд░, рд╡рд░реЛрд░рд╛ рд╡рд┐рдзрд╛рдирд╕рднрд╛ рдкреНрд░рдореБрдЦ рд░рд╡рд┐рдВрджреНрд░ рд╢реНрд░реАрдирд┐рд╡рд╛рд╕рд░рд╛рд╡ рд╢рд┐рдВрджреЗ, рд╡рд░реЛрд░рд╛ рддрд╛рд▓реБрдХрд╛ рдкреНрд░рдореБрдЦ рддрдерд╛ рд╕рдВрдЪрд╛рд▓рдХ рдХреГ.рдЙ.рдмрд╛.рд╕.рд╡рд░реЛрд░рд╛ рджрддреНрддрд╛ рдмреЛрд░реЗрдХрд░, рдЙрдкрддрд╛рд▓реБрдХрд╛ рдкреНрд░рдореБрдЦ рддрдерд╛ рд╡рд░реЛрд░рд╛ рдХреГ.рдЙ.рдмрд╛.рд╕. рд╕рдВрдЪрд╛рд▓рдХ рдЕрднрд┐рдЬреАрдд рдкрд╛рд╡рдбреЗ, рдЪрдВрджреНрд░рдкреБрд░ рдЬрд┐рд▓реНрд╣рд╛ рдпреБрд╡рддреА рд╕реЗрдирд╛ рдЕрдзрд┐рдХрд╛рд░реА рдкреНрд░рддрд┐рднрд╛ рдорд╛рдВрдбрд╡рдХрд░, рд╡рд░реЛрд░рд╛ рддрд╛рд▓реБрдХрд╛ рд╕рдВрдШрдЯреАрдХрд╛ рд╕рд░рд▓рд╛ рдорд╛рд▓реЛрдХрд░, рд╡рд░реЛрд░рд╛ рд╢рд╣рд░ рд╕рдВрдШрдЯреАрдХрд╛ рд╢реБрднрд╛рдВрдЧреА рдЕрд╣рд┐рд░рдХрд░, рдЙрдкрддрд╛рд▓реБрдХрд╛ рд╕рдВрдШрдЯреАрдХрд╛ рд╕реНрдореАрддрд╛ рддрд╛рдЯреЗрд╡рд╛рд░, рдЙрдкрд╢рд╣рд░ рдкреНрд░рдореБрдЦ рдЕрдирд┐рд▓ рд╕рд┐рдВрдЧ, рдЕрдзрд┐рд╡рдХреНрддрд╛ рд╡рд┐рдиреЛрдж рдЦреЛрдмреНрд░рд╛рдЧрдбреЗ, рджреБрд░реНрдЧрд╛ рдЦрдирдХреЗ, рдореБрдХреНрддрд╛ рд╣рдЬрд╛рд░реЗ, рд▓рддрд╛ рджрд╛рддреЗ, рд╕реБрдкреНрд░рднрд╛ рдорд╕реНрдХреА, рд╕рд╛рдХреНрд╖реА рджреМрд▓рддрдХрд░ рд╡ рдЕрдиреЗрдХ рдорд╣рд┐рд▓рд╛ рд╡ рдкреБрд░реВрд╖ рдкрджрд╛рдзрд┐рдХрд╛рд░реА рдЙрдкрд╕реНрдерд┐рдд рд╣реЛрддреЗ.
Friday, March 1, 2024
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рд╡рд┐рджреНрдпрд╛рд░реНрдереНрдпрд╛рдВрд╡рд░реАрд▓ рдЕрдорд╛рдиреБрд╖ рдЕрддреНрдпрд╛рдЪрд╛рд░ тАУ рдореБрдЦреНрдпрд╛рдзреНрдпрд╛рдкрдХ рд╡ рдЕрдзреАрдХреНрд╖рдХрд╛рд╡рд░ рдЧреБрдиреНрд╣рд╛ рджрд╛рдЦрд▓ рдХрд░реВрди рддрд╛рддреНрдХрд╛рд│ рдХрд╛рд░рд╡рд╛рдИ рдХрд░рд╛. рдЖрджрд┐рд╡рд╛рд╕реА рдЯрд╛рдпрдЧрд░ рд╕реЗрдиреЗрдЪреЗ рдЪрдВрджреНрд░рдкреВрд░ рдЬрд┐рд▓реНрд╣рд╛ рдЙрдкрд╛рдз... -
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