Fun-ASR: Ultimate Guide to the High-Precision, Multilingual Speech Recognition Model

6 days ago 高效码农

Fun-ASR: The Ultimate Guide to a High-Precision, Multilingual Speech Recognition Model Snippet Fun-ASR is an end-to-end speech recognition model trained on tens of millions of hours of data, achieving 93% accuracy in noisy environments. It supports 31 languages, 7 major Chinese dialects, and 26 regional accents, making it ideal for applications in education, finance, and more. Introduction In an era where voice interaction is becoming ubiquitous, the demand for robust, accurate, and versatile speech recognition technology has never been higher. Whether you’re developing a real-time transcription service for a multinational conference, creating a voice-activated system for a noisy factory floor, …

2025 Internet Trends Decoded: The 19% Surge, AI’s Dominance, and Quantum-Proof Encryption

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2025 Internet Trends Review: The Rise of AI, Post-Quantum Encryption, and Record-Breaking DDoS Attacks Abstract 2025 witnessed pivotal shifts in the global internet landscape: 19% growth in global traffic, a surge in AI crawler activity, doubled traffic for Starlink (expanding to over 20 new countries), 52% of human-generated traffic using post-quantum encryption, and significant expansion in hyper-volumetric DDoS attack sizes—all shaping the year’s digital trajectory. In 2025, Cloudflare released its sixth annual Internet Trends Review, leveraging data from its global network spanning 330 cities across 125+ countries/regions. The network processes an average of 81 million HTTP requests per second (peaking …

From Photo to 3D in 1 Second: How Apple’s SHARP AI Creates Real-Time 3D Scenes from a Single Image

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Sharp Monocular View Synthesis in Less Than a Second: How Apple’s SHARP Turns a Single Image into Real-Time 3D “ Core question: Can one ordinary photo become a photorealistic 3D scene you can rotate in real time, without lengthy per-scene optimization? Short answer: Yes—SHARP produces 1.2 million 3D Gaussians in <1 s on one GPU and renders at 100 FPS with state-of-the-art fidelity. What problem does SHARP solve and why is it different? Summary: SHARP targets instant “lifting” of a single photograph into a metric, real-time-renderable 3D representation, eliminating minutes-long optimization required by NeRF-style approaches while improving visual quality over …

Transform Casual Videos into Robot AI: VITRA’s 6 cm Manipulation Accuracy Breakthrough

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VITRA Unpacked: How 1 Million Casual Hand-Held Videos Can Teach a Robot to Grab With 6 cm Accuracy Keywords naturally used: vision-language-action model, VITRA, robotic manipulation, human-hand pre-training, zero-shot action prediction, casual video dataset, diffusion transformer, Paligemma-2, single-camera 3D, egocentric video, dexterous robot hand, real-world robot, data scaling, open source. What this post answers in one sentence By treating everyday, unscripted hand-held videos as robot demonstrations, VITRA produces a 3-billion-parameter model that predicts 3-D hand actions in brand-new scenes with only a single photo and a sentence—and after light fine-tuning on a handful of real-robot trajectories, it doubles task success …

SVG-T2I: Generate Images in DINOv3’s Semantic Space Without a VAE

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SVG-T2I: Generating Images Directly in the Semantic Space of Visual Foundation Models—No VAE Required Have you ever wondered about the crucial “compression” step hidden behind the magic of AI image generation? Mainstream methods like Stable Diffusion rely on a component called a Variational Autoencoder (VAE). Its job is to compress a high-definition image into a low-dimensional, abstract latent space, where the diffusion model then learns and generates. However, the space learned by a VAE often sacrifices semantic structure for pixel reconstruction, resulting in a representation that is disconnected from human “understanding” of images. So, can we discard the VAE and …

Claude Outage Analysis: How a Network Misconfiguration Disrupted Opus 4.5 and Sonnet

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Claude Service Disruption: A Comprehensive Analysis of the Opus 4.5 and Sonnet Outage Snippet On December 14, 2025, from 13:25 to 14:43 PT, Claude’s Opus 4.5 and Sonnet models experienced degraded availability due to a network routing misconfiguration that dropped backend traffic. The issue was resolved by reverting the configuration, fully restoring service to the API, claude.ai, and Claude Code. Introduction: When AI Services Stumble In the intricate world of artificial intelligence, where massive models process billions of parameters, the underlying infrastructure is just as critical as the algorithms themselves. Even the most advanced systems are vulnerable to human error, …

OpenAI Skills Explained: How ChatGPT’s New Feature Transforms AI Workflows

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OpenAI Quietly Rolls Out Skills: Now Available in ChatGPT and Codex CLI Summary OpenAI has introduced a Skills feature to both ChatGPT and Codex CLI, modeled after Anthropic’s Skills mechanism. A “skill” is a folder containing a Markdown file and optional resources/scripts, enabling tasks like PDF processing, document handling, and plugin development. ChatGPT integrates skills via its Code Interpreter, while Codex CLI supports custom skill installation—both delivering practical, scalable AI capabilities. If you follow AI tool advancements, you may have noticed a subtle but impactful update: OpenAI has quietly added “Skills” to ChatGPT and its open-source Codex CLI. First popularized …

DentalGPT: How a 7B Model is Outperforming Giants in AI Dentistry

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Exploring DentalGPT: Revolutionizing Dental Diagnosis with Multimodal Complex Reasoning DentalGPT is a specialized multimodal large language model (MLLM) designed for dentistry. By incorporating high-quality domain knowledge and reinforcement learning, it dramatically improves fine-grained visual understanding of dental images and diagnostic reasoning. Built on a dataset of over 120,000 dental images—the largest annotated collection to date—this 7B-parameter model outperforms many state-of-the-art general-purpose MLLMs in disease classification and dental visual question answering (VQA) tasks. Why Dentistry Needs Advanced AI Assistance As a dental professional or recent graduate, you know how demanding it is to interpret complex dental images—whether intraoral photographs or panoramic …

How to Create Professional Diagrams Using AI: The No-Code Guide for Technical & Creative Teams

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How to Create Professional Diagrams with Natural Language? The Next AI Draw.io Guide “ Core Question: How can non-technical users generate cloud architecture diagrams, technical schematics, and even illustrations without coding? This article demonstrates the real-world value of AI-powered diagramming tools through practical examples. When I first typed “draw a cat wearing glasses” and watched an SVG diagram generate in real-time, I realized the AI visualization revolution had arrived. Next AI Draw.io is an open-source project merging AI with professional diagramming tools, enabling complex design through conversation. 1. Core Value Proposition 1.1 Natural Language to Technical Diagrams ▸ Real Case: …

How Budget-Aware Search Agents Break Performance Ceilings (BATS Framework)

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Running on a Budget, Yet Smarter—How “Money-Wise” Search Agents Break the Performance Ceiling Keywords: budget-aware tool use, test-time scaling, search agent, BATS, Budget Tracker, cost-performance Pareto frontier Opening: Three Quick Questions Hand an agent 100 free search calls—will it actually use them? If it stops at 30 and calls it a day, will more budget move the accuracy needle? Can we teach the machine to check its wallet before every click? A new joint study by Google, UCSB and NYU says YES. “Simply letting the model see the remaining balance pushes accuracy up while keeping the tab unchanged—or even smaller.” …

AI Safety With a Guarantee: How the BEAVER Framework Delivers Provable LLM Safety

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BEAVER: Adding a “Mathematical Guarantee” to AI Safety Imagine this: you ask a large language model a question, and it could generate ten different answers. How do you precisely know its “confidence” in giving the correct one? The BEAVER framework provides, for the first time, a deterministic, mathematical answer to this critical question. Here’s a tangible scenario: you instruct an LLM to generate a safe Bash command to list a directory. Most of the time, it might output ls -al. But is there a possibility, however small, that it could output a dangerous command like rm -rf /home? Before deploying …

MLE-Agent: Transform AI Engineering with Autonomous Machine Learning Solutions

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MLE-Agent: Your Intelligent Companion for Seamless AI Engineering and Research In today’s rapidly evolving landscape of machine learning and artificial intelligence, both seasoned researchers and aspiring engineers face a common challenge: how to efficiently and reliably transform innovative ideas into working solutions. From literature review and code implementation to debugging, optimization, and experiment management, each step can consume significant time and effort. Allow me to introduce a powerful ally—MLE-Agent. This is not just another conceptual tool but a well-designed, comprehensive open-source assistant built to act as a “copilot” for machine learning engineers and researchers. It actively participates in your daily …

Open-Source AI Software Engineer: Revolutionizing Industrial-Scale Coding with Confucius Code Agent

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Confucius Code Agent: An Open-Source AI Software Engineer Built for Industrial-Scale Codebases Have you ever imagined having an indefatigable AI programming partner that can understand massive projects and help you fix complex bugs? Today, open-source AI coding assistants are proliferating, but when we throw them into real-world, industrial-scale codebases—often spanning millions of lines with intricately interconnected modules—they often “freeze.” They either get lost in lengthy context or act like amnesiacs, unable to learn from past experience. Meanwhile, closed-source commercial tools like Cursor and Claude Code, while powerful, have internal mechanisms that are black boxes. You cannot customize them, auditing is …

Android AI Agent: Revolutionizing Mobile Workflows Where Laptops Can’t Go

9 days ago 高效码农

Android Use: The AI Agent That Works Where Laptops Can’t In today’s digital age, AI assistants can browse the web and operate desktop software. Yet, a massive market gap remains: the workflows that happen on mobile devices, in places where a laptop can’t possibly go. Imagine a truck driver submitting paperwork from the cab, a delivery person scanning packages with a handheld device, or a field technician logging work orders on a tablet at a job site—these are the “last-meter” workflows that truly power the economy. Today, we introduce a groundbreaking open-source project: Android Use. This is a library that …

Gemini Deep Research: How Google’s Autonomous Agent Is Revolutionizing AI-Powered Analysis

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Gemini Deep Research: Embed Google’s Advanced Autonomous Research Capabilities into Your Applications via the Interactions API Core Article Question: What is the upgraded Gemini Deep Research agent, how does it perform, and how can developers leverage it to build advanced research tools? Article Opening Direct Answer The upgraded Gemini Deep Research agent is Google’s state-of-the-art autonomous research tool powered by Gemini 3 Pro, accessible to developers via the new Interactions API, with industry-leading performance across key benchmarks and real-world value in fields like finance and biotech. It enables the embedding of robust, low-hallucination research capabilities into custom applications, alongside a …

RL for 3D Generation: Why Reinforcement Learning Is the Key to Smarter 3D Models

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When Reinforcement Learning Meets 3D Generation: Why We Need a Paradigm Shift from “Can Generate” to “Can Reason” Core Question: Why do existing text-to-3D models always fall short on complex prompts, and can reinforcement learning enable them to think step-by-step like humans—from understanding global structure to refining local details? If you’ve ever tried generating an “acoustic guitar with a dark fingerboard, six strings, and a circular soundhole” only to receive an alien instrument with the wrong number of strings and an oddly shaped hole, you understand the frustration with current 3D generation technology. The research paper “Are We Ready for …

Google Interactions API: The 2025 Guide to Unified Gemini Models & Agents

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Google Interactions API: The Unified Foundation for Gemini Models and Agents (2025 Guide) Featured Snippet Answer (Perfect for Google’s Position 0) Google Interactions API is a single RESTful endpoint (/interactions) that lets developers talk to both Gemini models (gemini-2.5-flash, gemini-3-pro-preview, etc.) and managed agents (deep-research-pro-preview-12-2025) using exactly the same interface. Launched in public beta in December 2025, it adds server-side conversation state, background execution, remote MCP tools, structured JSON outputs, and native streaming — everything modern agentic applications need that the classic generateContent endpoint couldn’t comfortably support. Why I’m Excited About Interactions API (And You Should Be Too) If you’ve …

How RealVideo’s WebSocket Engine Creates Real-Time AI Avatars on 80GB GPUs

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Turn Chat into a Real Face: Inside RealVideo, the WebSocket Video-Calling Engine That Speaks Back A plain-language walkthrough for college-level readers: how to install, tune, and deploy a live text → speech → lip-sync pipeline on two 80 GB GPUs, without writing a single line of extra code. 1. What Exactly Does RealVideo Do? RealVideo is an open-source stack that lets you: Type a sentence in a browser. Hear an AI voice answer instantly. Watch a real photograph speak the answer with perfectly synced lip motion. All three events happen in <500 ms inside one browser tab—no plug-ins, no After …

Superpowers: How This AI Coding System Redefines Development Workflows

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Superpowers: A System That Redefines the Workflow of AI Coding Agents The Core Question This Article Answers: What is Superpowers, and how does it fundamentally change how AI programming assistants work? Superpowers is not a single tool or plugin, but a complete software development workflow system built on top of composable “skills.” It aims to transform your coding agent (like Claude Code, Codex, or OpenCode) from a simple code completer into a “super collaborator” with systematic engineering thinking and rigorous development processes. This article will deconstruct its operational principles, detailed workflow, core skills, and underlying design philosophy. The Philosophy of …

GPT-5.2 Revolution: How OpenAI’s New AI Model Surpasses Human Experts at Work

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GPT-5.2 Explained: How OpenAI’s New Model Redefines the Professional AI Assistant Do you remember the feeling of having your days consumed by endless spreadsheets, lengthy reports, and complex code debugging? For knowledge workers, time is the most valuable currency. Now, a more powerful AI partner has arrived—one that not only understands your professional needs but can also match or even surpass industry experts in quality. This is OpenAI’s latest series of models: GPT-5.2. Today, we’ll dive deep into every core upgrade of GPT-5.2. Let’s explore how this model, designed for “expert knowledge work” and “persistently running agents,” can actually save …