Surf Find Post

Link to article -  https://www.xda-developers.com/docker-wine-weird-container-run-windows-programs-on-linux/

TL;DR Links -  https://www.marktechpost.com/2025/09/08/gibsonai-releases-memori-an-open-source-sql-native-memory-engine-for-ai-agents/ GitHub Repository -  https://github.com/GibsonAI/memori

Link to article -  https://every.to/source-code/claude-code-camp

Link to article -  https://venturebeat.com/ai/how-intuit-killed-the-chatbot-crutch-and-built-an-agentic-ai-playbook-you-can-copy

Link to article -  https://www.infoq.com/articles/architecting-rag-pipeline/

TL;DR Link to article -  https://cline.bot/blog/local-models

Enhanced Knowledge Graphs: The Future of AI Understanding *How the Universal Knowledge Store (UKS) could revolutionize how AI systems represent and process information* For artificial intelligence to reach the next level, it needs to interact intelligently with the real world. Current AI systems, despite knowing vast amounts of facts, lack fundamental understanding of concepts that any child grasps intuitively—object persistence, three-dimensionality, the passage of time, and cause and effect relationships.  A revolutionary graph-based approach called the Enhanced Knowledge Graph, or Universal Knowledge Store (UKS), aims to address these critical limitations by mimicking how the human brain actually stores and processes information. ? The Brain-Inspired Approach Charles Simon, a longtime AI researcher and software developer with extensive experience in neurological test instruments and neural simulators, has developed this innovative approach through the fre...

  The Bridge to Windows: Running Your Favorite Apps on Linux So you've made the switch to Linux, enjoying its stability, security, and endless customization. But what happens when you need to run that one crucial Windows application that doesn't have a native Linux version? The good news is, you don't have to dual-boot or give up your favorite apps. Thanks to the power of the open-source community, there are several powerful tools that bridge the gap between operating systems. Here are the top five ways to run Windows applications on Linux.  1. WINE (Wine Is Not an Emulator) At the heart of many Linux compatibility solutions is WINE. Despite its name, WINE is not an emulator; it's a "compatibility layer" that translates Windows system calls into their Linux equivalents. This allows Windows programs to run on Linux as if they were native applications. ** Best for: ** Developers, tinkerers, and those who want a direct, no-frills approach. It's th...

TL;DR Link to article -  https://towardsdatascience.com/the-end-to-end-data-scientists-prompt-playbook/

  The Alchemists' Dream Realized: How Scientists at CERN Turned Lead Into Gold For centuries, alchemists and mystics pursued the elusive dream of turning common lead into precious gold, a quest known as *chrysopoeia*. Their efforts were driven by a blend of ancient philosophy and a deep desire for wealth, but they were ultimately in vain. It turns out, you can't change one element into another with a dusty cauldron and chemical potions. The secret was far more complex—and far more modern. In a groundbreaking triumph of modern physics, scientists at the CERN research facility have successfully achieved this ancient dream. Using the world's most powerful particle accelerator, the Large Hadron Collider (LHC), researchers with the ALICE experiment have observed the transmutation of lead into gold. It's All About the Nucleus While gold and lead may seem similar in density, they are fundamentally different on an atomic level. Gold has 79 protons in its nucleus, wh...

  Empowering Every Team: Inkeep Raises $13 Million to Democratize AI Agents In the rapidly evolving world of artificial intelligence, a new class of tools called "AI agents" is emerging. These agents are designed to autonomously perform complex tasks, but building them has traditionally been a challenge reserved for experienced developers and data scientists. A new startup is aiming to change that. ** Inkeep* * has just secured a significant funding round of $13 million with a clear mission: to make building AI agents accessible to every team, regardless of their technical expertise . The company's platform is designed to be a game-changer for businesses looking to leverage the power of AI without the steep learning curve. According to Forbes, Inkeep's product lets "anyone—coder or not—build AI agents." This democratization of AI technology is a key differentiator in a market often dominated by tools built for specialists. With over 200 companies...

  Overcoming AI's "Tunnel Vision" with ParaThinker: A Leap in AI Reasoning Ever notice how sometimes a small mistake can throw off an entire process? Large Language Models (LLMs) suffer from a similar problem, known as "tunnel vision." In sequential reasoning, if an LLM makes an error early on, that mistake can propagate through the entire thought process, leading to a flawed final answer—even if the model has a large computational budget. Fortunately, researchers at Tsinghua University have found an ingenious solution: ** ParaThinker**. This new, end-to-end framework aims to scale an LLM's test-time compute by enabling native parallel thinking, allowing models to overcome this tunnel vision bottleneck.   What is ParaThinker and How Does It Work? ParaThinker is designed to mimic a more human-like reasoning process. Instead of following a single train of thought, it generates and explores multiple, diverse reasoning paths simultaneously. The fram...

The Hidden Revolution: Why Ternary Computing Could Change Everything What if every chip powering your smartphone, laptop, and the servers hosting your favorite videos were built on fundamentally flawed foundations? What if, instead of the familiar zeros and ones that define our digital world, computers could operate using zeros, ones, and twos? This isn't science fiction—it's a reality that Soviet scientists explored in the 1950s, and their work might hold the key to revolutionizing computing as we know it. The Binary Foundation We All Know Modern computers rely entirely on binary systems, a base-two number system where each digit (or "bit") can only represent two values: 0 or 1. Think of it like billions of light switches lined up in a row—each switch is either off (0) or on (1). By arranging these switches in specific patterns at incredible speeds, computers can represent anything: numbers, letters, images, or even the video you watched last night. This ...

Link - https://www.geeky-gadgets.com/chatgpt-smart-workflow-tips-guide-2025/

Summary: Scientists have developed a new artificial intelligence (AI) model called the hierarchical reasoning model (HRM) that is inspired by the human brain's processing methods and outperforms large language models (LLMs) like ChatGPT in reasoning tasks. Here are the key points: 1. Brain-Inspired Design: The HRM mimics the hierarchical and multi-timescale processing of the human brain, where different regions integrate information over varying durations. It consists of two modules: a high-level module for slow, abstract planning and a low-level module for rapid, detailed computations . 2. Efficiency and Performance: The HRM has only 27 million parameters and requires just 1,000 training samples, compared to billions or trillions of parameters in advanced LLMs like GPT-5. Despite its smaller size, it achieved superior results in the challenging ARC-AGI benchmark, scoring 40.3% in ARC-AGI-1 (outperforming OpenAI's o3-mini-high at 34.5%) and 5% in the tougher ARC-AGI...

TL;DR Link -  https://venturebeat.com/ai/how-sakana-ais-new-evolutionary-algorithm-builds-powerful-ai-models-without-expensive-retraining

TL;DR Link -  https://www.tomsguide.com/ai/i-built-5-websites-in-under-an-hour-with-chatgpt-5-heres-how-its-possible

TL;DR Link -  https://www.zdnet.com/article/the-one-click-linux-app-i-use-for-instant-online-anonymity/

Link -  https://www.hindustantimes.com/technology/transform-any-textbook-or-document-into-a-podcast-with-this-ai-tool-for-free-here-s-how-101756107646984.html

Link -  https://www.tomsguide.com/ai/i-test-ai-for-a-living-these-are-my-9-favorite-prompts-for-vibe-coding

TL;DR Link:  https://www.marktechpost.com/2025/08/25/how-to-implement-the-llm-arena-as-a-judge-approach-to-evaluate-large-language-model-outputs/

Google's Mangle: A Revolutionary Programming Language for Modern Data Chaos Google has just unveiled a groundbreaking programming language that could fundamentally transform how developers interact with databases and scattered data sources. Meet Mangle—a language specifically designed to tackle the messy, inconsistent data landscape that defines modern enterprise systems.   The Problem: Data Chaos in the Real World If you're working in any modern organization, you know the struggle. Your data isn't neatly organized in a single, pristine database. Instead, you're drowning in: - Scattered log files - Inconsistent configuration files   - Various API responses with different schemas - Legacy spreadsheets that somehow still run critical business processes None of these data sources speak the same language, and traditional approaches force you to spend countless hours normalizing and moving data before you can even begin to ask meaningful questions. Enter Mangle: ...

The Hidden Cost of Structured Generation: How Format Constraints Impact LLM Reasoning Performance A groundbreaking study from researchers at Uber, EIII Research, and National Taiwan University has revealed surprising insights about structured generation in large language models (LLMs). While structured outputs have become increasingly popular—with OpenAI's recent structured outputs feature being a prime example—this research shows that format constraints can significantly harm reasoning performance while benefiting classification tasks.   Understanding Standard vs. Structured Prompting   Standard Prompting In traditional prompting, you might ask a model to solve a problem step-by-step like this: * Question: [Your problem here]* * Please break down this task step by step and provide the final answer.* The model responds naturally, working through each step before arriving at an answer. This approach typically yields strong results, especially for models trained exte...

  Google DeepMind Nano Banana Hackathon: How to Participate and Win Generous API Credits Google DeepMind has launched an exciting ** Nano Banana Hackathon **, but it’s only open for the next 48 hours! With just two days to participate, this is a fantastic opportunity for developers and creators worldwide to win valuable prizes, including generous API credits from major platforms. Here’s a quick guide on what the hackathon is about, the prizes, and how you can get an edge to secure a top spot. ---   What Is the Nano Banana Hackathon? The hackathon centers around **Nano Banana**, also known as **Google Gemini 2.5 Flash Image Preview**. This state-of-the-art model specializes in **image editing** rather than just generation, allowing developers to build powerful AI-powered photo editing tools. Participants can use APIs from: - ** Google Gemini 2.5 Flash Image Preview (Nano Banana)* * - **FAL (File)** - ** 11 Labs ** You can choose to focus on any or all of these, depe...

ByteDance's AI Lab Revolutionizes Model Training with Pre-Training Model Merging ByteDance's AI lab is rapidly establishing itself as a dominant force in Chinese artificial intelligence research, potentially outpacing even DeepSeek in innovation and resources. With budgets magnitudes larger than their competitors and the capacity to compete head-to-head with tech giants like Google and OpenAI, ByteDance is making waves with groundbreaking research that could fundamentally change how we approach AI model training. Setting New Standards in AI Performance The lab's latest achievement, their video model CEN 1.0, has already demonstrated superior performance compared to Google's new VO3 model - the same model that generates both video and audio and has been dominating video generation leaderboards worldwide. This isn't just incremental improvement; it's a statement of intent from a lab that's quickly becoming impossible to ignore. But perhaps even mor...

The Future of AI: Graph-Based LLM Routing and Multi-Agent Machine Learning Systems The landscape of artificial intelligence is rapidly evolving, with two groundbreaking research developments that are reshaping how we think about model selection and automated machine learning. Recent publications from the University of Illinois and Korean researchers are introducing revolutionary approaches that could fundamentally change how AI systems operate and optimize themselves.   Graph Router: Intelligent LLM Selection Through Graph Neural Networks   The Challenge of Model Selection In today's AI ecosystem, we face a complex decision matrix when choosing between different large language models. Should you use Claude Sonnet for your task? Perhaps GPT-4? Or would a smaller, more cost-effective model like GPT-3.5 suffice? Each model comes with different performance characteristics, pricing structures, and computational requirements. Traditional approaches to this problem have b...