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AGI in 2025 |Do you think what matters today will still matter in the coming months? TL;DR: No! | by M. Pajuhaan | Jan, 2025

OpenAI, Sam Altman, Elon Musk, xAI, Anthropic, Gemini, Google, Apple… all these companies are racing to build AGI by 2025, and once achieved, it will be replicated by dozens of others within weeks. The idea of creating a compressed knowledge base of humanity, extracting information, and iterating on outputs to optimize results is no longer…

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ByteDance Proposes OmniHuman-1: An End-to-End Multimodality Framework Generating Human Videos based on a Single Human Image and Motion Signals

Despite progress in AI-driven human animation, existing models often face limitations in motion realism, adaptability, and scalability. Many models struggle to generate fluid body movements and rely on filtered training datasets, restricting their ability to handle varied scenarios. Facial animation has seen improvements, but full-body animations remain challenging due to inconsistencies in gesture accuracy and…

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Distributed Tracing: A Powerful Approach to Debugging Complex Systems | by Hareesha Dandamudi | Dec, 2024

Why distributed tracing is the key to resolving performance issues (Image by Author) - Distributed tracing — ideaMy articles are free for everyone to read! If you don’t have a Medium subscription, feel free to explore the full article directly on my blog: https://blog.bytedoodle.com/distributed-tracing-a-powerful-approach-to-debugging-complex-systems/ M odern applications are increasingly built using microservices, where hundreds of…

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Heavy Machinery and AI are Going to Disrupt Traditional Industries

The convergence of artificial intelligence and advanced machinery is poised to transform traditional industries in ways few could have imagined just a decade ago. From construction sites to manufacturing plants, the integration of AI-powered systems with heavy equipment is creating new paradigms of efficiency and productivity while simultaneously raising important questions about the future of…

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Introducing GS-LoRA++: A Novel Approach to Machine Unlearning for Vision Tasks

Pre-trained vision models have been foundational to modern-day computer vision advances across various domains, such as image classification, object detection, and image segmentation. There is a rather massive amount of data inflow, creating dynamic data environments that require a continual learning process for our models. New regulations for data privacy require specific information to be…

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How Cheap Mortgages Transformed Poland’s Real Estate Market | by Lukasz Szubelak | Jan, 2025

Insights from a synthetic control group 16 min read · 10 hours ago Photo by Maria Ziegler on UnsplashReal estate is a bedrock of modern economies, serving as both a tangible asset and an essential component of wealth accumulation for individuals and investment portfolios. Real estate price fluctuations have far-reaching implications, influencing…

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Advancing AI Reasoning: Meta-CoT and System 2 Thinking | by Kaushik Rajan | Jan, 2025

How Meta-CoT enhances system 2 reasoning for complex AI challenges Image created by the author using Generative AI (Flux-pro)What makes a language model smart? Is it predicting the next word in a sentence ‒ or handling tough reasoning tasks that challenge even bright humans? Today’s Large Language Models (LLMs) create smooth text plus solve simple…

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A Beginner’s 12-Step Visual Guide to Understanding NeRF: Neural Radiance Fields for Scene Representation and View Synthesis | by Aqeel Anwar | Jan, 2025

A basic understanding of NeRF’s workings through visual representations Who should read this article? This article aims to provide a basic beginner level understanding of NeRF’s workings through visual representations. While various blogs offer detailed explanations of NeRF, these are often geared toward readers with a strong technical background in volume rendering and 3D graphics.…

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