Drishtant Ghosh (Drix10)
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AI Artists and Creators••12 min read•2296 words

🤖 AI Model - Quantization Breakthrough

⚡Direct Technical Summary

Quantization is a technique used to reduce the size of AI models while maintaining their accuracy. The recent breakthrough in quantization involves calibrating the model using an i

🤖 AI Model - Quantization Breakthrough

Quantization is a technique used to reduce the size of AI models while maintaining their accuracy. The recent breakthrough in quantization involves calibrating the model using an importance matrix derived from real agentic coding. This approach allows for more efficient model deployment and reduces the computational resources required.

Key Points:

  • Importance Matrix: The importance matrix is derived from real agentic coding, which provides a more accurate representation of the model's behavior.

  • Quantization: Quantization reduces the size of the model while maintaining its accuracy, making it more efficient for deployment.

  • Calibration: The model is calibrated using the importance matrix, which ensures that the quantized model performs similarly to the original model.

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🚀 AI Model - Local Deployment

The recent breakthrough in AI model deployment involves running the Qwen3.8-27B-Cyber-Uncensored model locally as an IQ4_XS GGUF at 14.96 GiB. This achievement demonstrates the potential for large-scale AI models to be deployed on local machines, reducing the need for cloud computing resources.

Key Points:

  • Local Deployment: The Qwen3.8-27B-Cyber-Uncensored model can be run locally as an IQ4_XS GGUF at 14.96 GiB.

  • Model Size: The model size is not the most interesting aspect of this breakthrough, but rather the quantization technique used to achieve it.

  • Quantization: The model was calibrated using an importance matrix derived from real agentic coding, which enabled the quantization.

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🚫 Politics - Raj Thackeray Exposes NCP MLA

Raj Thackeray exposed NCP MLA Rohit Pawar at a protest, highlighting the contradictions between the MLA's actions and his words. The protest was organized by students demanding the recruitment of 70,000 government posts, and Rohit Pawar was present alongside the students.

Key Points:

  • Protest: The protest was organized by students demanding the recruitment of 70,000 government posts.

  • Rohit Pawar: Rohit Pawar was present at the protest, despite being an MLA from the NCP party.

  • Raj Thackeray: Raj Thackeray exposed Rohit Pawar's contradictions at the protest.

🔗 Resources:

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🌹 Spirituality - Dream of a Woman in a Burka

The dream of a woman in a burka is a powerful symbol of spiritual growth and transformation. The dream can represent the need to confront and overcome one's own fears and limitations, and to develop a greater sense of self-awareness and compassion.

Key Points:

  • Spiritual Growth: The dream of a woman in a burka represents spiritual growth and transformation.

  • Fear and Limitations: The dream can represent the need to confront and overcome one's own fears and limitations.

  • Self-Awareness and Compassion: The dream can also represent the need to develop a greater sense of self-awareness and compassion.

🔗 Resources:

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🤖 AI Animation - Midjourney SREF Series for 3D Characters

Midjourney's SREF series for 3D characters has reached its 13th volume, showcasing the potential of AI-generated characters in game development and animation. This series combines the power of Midjourney's v8.2 model with Grok's animation capabilities, resulting in high-quality, game-ready character concepts that can be easily animated in various software.

Key Points:

  • Midjourney SREF Series: This series utilizes Midjourney's v8.2 model to generate 3D character concepts, which can be further refined and animated using Grok or other animation software.

  • Grok Animation: The SREF series can be animated using Grok, allowing for seamless integration with other animation tools and software.

  • Game-Ready Characters: The resulting characters are game-ready, meaning they can be easily imported into game engines and used in various game development projects.

  • Animation in Seedance 2.5: The animated characters can also be used in Seedance 2.5, Kling, or other animation software, providing flexibility and versatility in animation workflows.

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🎥 AI Animation - Behind the Scenes with Blender

Blender has become an essential tool in the AI animation workflow, as demonstrated by the creator of the animation in the Scarves series. This behind-the-scenes look provides insight into the process of creating AI-generated animations using Blender and other software.

Key Points:

  • Blender in AI Animation: Blender has become a crucial part of the AI animation workflow, allowing creators to refine and finalize AI-generated animations.

  • The Scarves Series: The Scarves series showcases the potential of Blender in AI animation, providing a behind-the-scenes look at the creation process.

  • AI Animation Workflow: The series demonstrates the importance of Blender in the AI animation workflow, highlighting its role in refining and finalizing AI-generated animations.

  • Animation Software: The creator uses various animation software, including Blender, to create the animations, demonstrating the flexibility and versatility of AI animation workflows.

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🤖 AI Assistant - Pi Durable and Always-On Side Harness

Pi Durable reminds the creator of an experiment with an always-on side harness, separate from the main harness but sharing the same memories, transcripts, and notes. This side harness runs on a cheap VPS as a Discord bot, allowing for multiplayer functionality with one owner and many operators.

Key Points:

  • Pi Durable: Pi Durable is a reminder of the creator's experiment with an always-on side harness, which shares memories, transcripts, and notes with the main harness.

  • Always-On Side Harness: The side harness is always-on, allowing for continuous functionality and integration with the main harness.

  • Discord Bot: The side harness runs on a cheap VPS as a Discord bot, enabling multiplayer functionality with one owner and many operators.

  • Separate from Main Harness: The side harness is separate from the main harness, allowing for independent functionality and integration with other systems.

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🤖 AI Development - AI Game Development

AI game development is a rapidly growing field that combines the power of artificial intelligence with the creativity of game development. This field has the potential to revolutionize the way we experience games, making them more immersive, interactive, and personalized. One of the key challenges in AI game development is creating realistic and engaging game worlds, characters, and behaviors. This requires a deep understanding of game development, AI, and machine learning.

Key Points:

  • AI-Generated Game Worlds: AI can be used to generate realistic and varied game worlds, including terrain, architecture, and vegetation. This can be achieved through the use of procedural generation techniques, which allow the AI to create unique and detailed environments.

  • AI-Controlled Characters: AI can also be used to control game characters, making them more realistic and responsive to the player's actions. This can be achieved through the use of machine learning algorithms, which allow the AI to learn from the player's behavior and adapt to different situations.

  • AI-Powered Game Mechanics: AI can also be used to power game mechanics, such as physics, animation, and sound. This can be achieved through the use of machine learning algorithms, which allow the AI to learn from the game's data and improve its performance over time.

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🚀 Game Development - Low-Poly Game Development

Low-poly game development is a technique used to create 3D game models and environments using a limited number of polygons. This technique is often used in game development to create detailed and realistic game worlds, characters, and objects. One of the key benefits of low-poly game development is that it allows for faster rendering and smoother gameplay.

Key Points:

  • Low-Poly Modeling: Low-poly modeling involves creating 3D models using a limited number of polygons. This can be achieved through the use of modeling software, such as Blender or Maya, and techniques, such as mesh reduction and texture mapping.

  • Low-Poly Textures: Low-poly textures involve creating textures using a limited number of colors and patterns. This can be achieved through the use of texture mapping software, such as Substance Painter or Quixel Suite.

  • Low-Poly Animation: Low-poly animation involves creating animations using a limited number of keyframes and motion paths. This can be achieved through the use of animation software, such as Blender or Maya.

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🚀 Game Development - Game Development Tools

Game development tools are software applications used to create, design, and test games. These tools can include game engines, level editors, and animation software. One of the key benefits of game development tools is that they allow developers to create high-quality games quickly and efficiently.

Key Points:

  • Game Engines: Game engines are software applications that provide a framework for creating games. They can include features, such as physics, animation, and sound, and can be used to create 2D and 3D games.

  • Level Editors: Level editors are software applications used to create and design game levels. They can include features, such as terrain editing, object placement, and scripting.

  • Animation Software: Animation software is used to create and edit animations for games. It can include features, such as keyframe animation, motion paths, and physics-based animation.

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🤖 AI Advertising - AI-Powered UGC Ads for Brands

AI-powered advertising is becoming increasingly popular, and one of the most innovative applications is in user-generated content (UGC) ads. I recently created an uncommissioned AI UGC ad for 7up, exploring what AI-powered advertising can look like for brands.

Key Points:

  • AI UGC Ad Creation: AI can be used to generate high-quality UGC ads for brands, reducing the need for manual content creation and increasing the efficiency of advertising campaigns.

  • Customization: AI-powered UGC ads can be customized to fit the specific needs and branding of each company, ensuring a consistent and effective advertising message.

  • Scalability: AI can generate multiple UGC ads at once, making it an ideal solution for large-scale advertising campaigns.

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🚀 PostgreSQL 17 - Native Memory Tuning for Parallel Index Builds

PostgreSQL 17 introduces native memory tuning for parallel index builds, which can significantly improve the performance of large-scale database operations.

Key Points:

  • Native Memory Tuning: PostgreSQL 17 includes native memory tuning for parallel index builds, allowing for more efficient use of system resources and improved performance.

  • Parallel Index Builds: Parallel index builds can significantly reduce the time required to build large indexes, making it an ideal solution for high-traffic databases.

  • Improved Performance: Native memory tuning for parallel index builds can improve the overall performance of PostgreSQL 17, making it a valuable upgrade for database administrators.

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💡 AI-Powered Video Editing - Exploring the Future of Video Content Creation

AI-powered video editing is becoming increasingly popular, and one of the most innovative applications is in the creation of high-quality video content. I recently explored the future of video content creation using AI-powered video editing tools.

Key Points:

  • AI-Powered Video Editing: AI can be used to generate high-quality video content, reducing the need for manual editing and increasing the efficiency of video production.

  • Customization: AI-powered video editing tools can be customized to fit the specific needs and style of each project, ensuring a consistent and effective video message.

  • Scalability: AI can generate multiple video edits at once, making it an ideal solution for large-scale video production campaigns.

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🤖 AI-Powered Content Creation - The Future of Digital Content

AI-powered content creation is becoming increasingly popular, and one of the most innovative applications is in the creation of high-quality digital content. I recently explored the future of digital content creation using AI-powered content creation tools.

Key Points:

  • AI-Powered Content Creation: AI can be used to generate high-quality digital content, reducing the need for manual content creation and increasing the efficiency of content production.

  • Customization: AI-powered content creation tools can be customized to fit the specific needs and style of each project, ensuring a consistent and effective content message.

  • Scalability: AI can generate multiple content pieces at once, making it an ideal solution for large-scale content production campaigns.

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🚀 AI-Powered Video Production - The Future of Video Content Creation

AI-powered video production is becoming increasingly popular, and one of the most innovative applications is in the creation of high-quality video content. I recently explored the future of video content creation using AI-powered video production tools.

Key Points:

  • AI-Powered Video Production: AI can be used to generate high-quality video content, reducing the need for manual editing and increasing the efficiency of video production.

  • Customization: AI-powered video production tools can be customized to fit the specific needs and style of each project, ensuring a consistent and effective video message.

  • Scalability: AI can generate multiple video edits at once, making

📂Source / Implementation:AI Artists and Creators / resources-266.md
GitHub Repository↗

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Drishtant Ghosh (Drix10)
Drishtant Ghosh (Drix10)•Author & Engineer

Technical founder and engineer working across AI systems, developer infrastructure, and cybersecurity.

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GitHub: AI Artists and Creators/resources-266.md ↗https://blogs.drix10.com/articles/ai-artists-and-creators/quantization-breakthrough-266