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Author: pIXELsHAM.com
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GaiaNet – Install and run your own local and decentralized free AI agent service
https://github.com/GaiaNet-AI/gaianet-node
GaiaNet is a decentralized computing infrastructure that enables everyone to create, deploy, scale, and monetize their own AI agents that reflect their styles, values, knowledge, and expertise. It allows individuals and businesses to create AI agents. Each GaiaNet node provides
- a web-based chatbot UI.
- an OpenAI compatible API. See how to use a GaiaNet node as a drop-in OpenAI replacement in your favorite AI agent app.
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LARS – An application that enables you to run LLMs locally on your device
https://github.com/abgulati/LARS
This grounding helps increase accuracy and reduce the common issue of AI-generated inaccuracies or “hallucinations.” This technique is commonly known as “Retrieval Augmented Generation”, or RAG.
LARS aims to be the ultimate open-source RAG-centric LLM application. Towards this end, LARS takes the concept of RAG much further by adding detailed citations to every response, supplying you with specific document names, page numbers, text-highlighting, and images relevant to your question, and even presenting a document reader right within the response window. While all the citations are not always present for every response, the idea is to have at least some combination of citations brought up for every RAG response and that’s generally found to be the case.
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Chinese’s DeepSeek-Coder-V2 – Breaking the Barrier of Closed-Source Models in open source Code Intelligence
An open-source Mixture-of-Experts (MoE) code language model that achieves performance comparable to GPT4-Turbo in code-specific tasks. Specifically, DeepSeek-Coder-V2 is further pre-trained from an intermediate checkpoint of DeepSeek-V2 with additional 6 trillion tokens. Through this continued pre-training, DeepSeek-Coder-V2 substantially enhances the coding and mathematical reasoning capabilities of DeepSeek-V2, while maintaining comparable performance in general language tasks. Compared to DeepSeek-Coder-33B, DeepSeek-Coder-V2 demonstrates significant advancements in various aspects of code-related tasks, as well as reasoning and general capabilities. Additionally, DeepSeek-Coder-V2 expands its support for programming languages from 86 to 338, while extending the context length from 16K to 128K.
https://github.com/deepseek-ai/DeepSeek-Coder-V2
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TDK claims insane energy density in solid-state battery breakthrough
The new material provides an energy density—the amount that can be squeezed into a given space—of 1,000 watt-hours per liter, which is about 100 times greater than TDK’s current battery in mass production.
TDK has 50 to 60 percent global market share in the small-capacity batteries that power smartphones and is targeting leadership in the medium-capacity market, which includes energy storage devices and larger electronics such as drones.
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Wanderson M. Pimenta – Denoiser Comp Addon – FREE DOWNLOAD – BLENDER TO NUKE/DAVINCI SUPPORT
https://blender-addons.gumroad.com/l/denoiser_comp_addon
Blender 3 updated Intel® Open Image Denoise to version 1.4.2 which improved many artifacts in render, even separating into passes, but still loses a lot of definition when used in standard mode, DENOISER COMP separates passes and applies denoiser only in the selected passes and generates the final pass (beauty) keeping much more definition as can be seen in the videos.
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RTG-SLAM: Real-time 3D Reconstruction at Scale Using Gaussian Splatting
https://gapszju.github.io/RTG-SLAM/
https://github.com/MisEty/RTG-SLAM
https://gapszju.github.io/RTG-SLAM/static/pdfs/RTG-SLAM_arxiv.pdf
A Real-time Gaussian SLAM (RTG-SLAM), a real-time 3D reconstruction system with an RGBD camera for large-scale environments using Gaussian splatting.
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Runway – Introducing Gen-3 Alpha. Gen3, a new frontier for high-fidelity, controllable video generation.
https://runwayml.com/blog/introducing-gen-3-alpha/
Gen-3 Alpha is the first of an upcoming series of models trained by Runway on a new infrastructure built for large-scale multimodal training. It is a major improvement in fidelity, consistency, and motion over Gen-2, and a step towards building General World Models.
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Immersity.AI turns 2D art and videos into 3D animation
Immersity AI (formerly LeiaPix), turns 2D illustrations into 3D animation, ideal for bringing a sketch, painting or scene to life.
It converts the video into an animated depth video and uses that to trigger depth in the final output.
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Planning to move jobs? These cities are now so expensive they’re considered ‘impossibly unaffordable’
https://www.cnn.com/2024/06/14/business/house-prices-impossibly-unaffordable-intl-hnk/index.html
Top 10 “impossibly unaffordable” cities
- Hong Kong
- Sydney
- Vancouver
- San Jose
- Los Angeles
- Honolulu
- Melbourne
- San Francisco/Adelaide
- San Diego
- Toronto
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Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering and Denoising for HDR View Synthesis
https://srameo.github.io/projects/le3d/
LE3D is a method for real-time HDR view synthesis from RAW images. It is particularly effective for nighttime scenes.
https://github.com/Srameo/LE3D
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Study finds a quarter of bosses hoped Return-To-the-Office would make employees quit
https://www.theregister.com/2024/06/09/rto_quit_study
A study by BambooHR found that about 25% of executives and 20% of HR professionals hoped return-to-office (RTO) mandates would lead to employee resignations. Despite some staff quitting, the exodus was insufficient, prompting some companies to undertake layoffs. The study indicates that RTO policies have fostered a distrustful and performative work culture, negatively impacting productivity and employee happiness.
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Nir Zicherman – How AI Image Models Work
https://every.to/p/how-ai-image-models-work
By drawing an analogy to a children’s game where noise in sentences must be corrected to reveal coherent plots, Zicherman elucidates how AI models iteratively remove noise from images to generate clear visuals. The process involves training AI to recognize patterns in noisy data and directing it with specific textual prompts to produce desired images. This demystifies the complex mathematics and computing underlying modern AI image generation.
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