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Today

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AI Daily: Cursor Cloud Agents Take Over Development! Claude & Google's Latest AI Interaction & Workflow Upgrades

AI Trends Express: Cursor Cloud Agents Launch, Claude and Google Bring New Interaction Experiences New technological breakthroughs appear before the public every day. Did you know? Today’s AI tools have long surpassed simple text dialog boxes. They are beginning to take over local environments, assist in team collaboration, and even help you create a complete piece of music. As major tech giants and startup teams continue to push the limits, users can feel significant changes in their workflows every day.

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Yesterday

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AI Daily: The AI Security Defense Begins! Analyzing Model Defense, API Abuse, and Innovative Applications

The AI Industry’s Security Defense and Application Innovations: Blocking Model Theft, Reshaping Benchmarks, and Popularizing Education The pace of development in the tech world is always dizzying. Honestly, sometimes even professionals find it hard to fully grasp all the details. On the one hand, tech giants are busy fending off various malicious attacks and data thefts, trying to protect the intellectual property they’ve invested huge sums to develop. On the other hand, the practical applications of AI are gradually permeating educational settings and the system updates of ancient programming languages. Let’s take a look at the important developments worth noting today; these events are quietly changing the direction of the entire tech industry.

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February 20

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AI Daily: Gemini 3.1 Pro Doubles Reasoning Power! Claude Enters PPT - A Summary of Highlights

Google Gemini 3.1 Pro Makes a Strong Debut: Doubling Reasoning Capabilities and Generating SVG Animations. What Else is New with Claude in PPT? If you thought last week’s AI progress wasn’t fast enough, this week’s news will definitely make your head spin. Google just dropped a bombshell—Gemini 3.1 Pro is officially released, and this isn’t just a minor patch; it boasts a significant leap in logical reasoning and generative capabilities. At the same time, Anthropic isn’t falling behind, extending Claude’s reach into the office’s most commonly used PowerPoint, while also raising a red flag on developer API usage guidelines.

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February 19

1 Updates
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AI Daily: Claude Sonnet 4.6 Upgrade, Google Lyria 3 Music Generation, and OpenAI Focuses on Blockchain Safety

Today’s AI tech world is full of major updates, from productivity tools to entertainment applications. Anthropic has launched the more powerful Claude Sonnet 4.6, challenging existing model limits; Google has equipped Gemini with advanced music creation capabilities and even strengthened NotebookLM’s presentation features. Additionally, OpenAI has turned its attention to blockchain safety, and the open-source community welcomes a surprisingly lightweight speech model. This article takes you through these important technological breakthroughs.

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February 16

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AI Daily: OpenAI Hires OpenClaw Founder for AI Agent Strategy; New Open-Source Voice Models Released

Significant personnel changes are once again reshaping the tech industry. Peter Steinberger has joined OpenAI to lead the development of intelligent agents, while OpenClaw is transitioning into a foundation to ensure its open-source independence. Concurrently, Google has released a new threat report detailing the current state of AI-driven cyber warfare, and the open-source community has introduced two robust new voice generation models. A New Chapter for Intelligent Agents: Peter Steinberger Joins OpenAI Personnel movements in the tech world often signal the next technological frontier. Renowned developer Peter Steinberger has officially announced his move to OpenAI. This is more than just a job change; it’s a signal that the focus of AI development is shifting from conversational models to “Intelligent Agents” (Agents) capable of solving real-world problems. OpenAI CEO Sam Altman expressed high expectations, calling Peter a genius and stating that his vision for the future—where multiple high-intelligence agents collaborate to complete complex tasks—will rapidly become a core competitive advantage for OpenAI’s products. This suggests OpenAI is working to address the “all talk, no action” limitation of current models, making AI a truly task-oriented assistant.

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Deep Dive into KaniTTS2: 350M Parameters Challenging Long-Form Text with an Open Pre-training Framework

In the field of Artificial Intelligence Text-to-Speech (TTS), we often see the release of various new models, most boasting more realistic voices or faster inference speeds. However, what truly excites developers isn’t just being given the “fish,” but rather someone willing to contribute the “fishing rod” and the “fishing grounds” as well. This is precisely why KaniTTS2 has garnered widespread attention. It’s not just a high-quality text-to-speech model; it breaks convention by open-sourcing its complete pre-training framework. What does this mean? It represents a giant leap toward the democratization of voice technology. Developers are no longer reliant on the default voices provided by major tech companies; they now have a complete set of tools to build custom voice models for specific languages, accents, or domains from the ground up.

#voice
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tool •

Introducing MioTTS: A Ultra-Lightweight 0.1B Parameter Speech Model Bringing Smooth Voice to Edge Devices

Explore Aratako’s latest MioTTS project, a series of ultra-lightweight TTS models based on LLM architecture. From the extreme 0.1B version to high-quality 2.6B models, MioTTS combines the custom neural audio encoder MioCodec to achieve incredible inference speed while maintaining high-fidelity audio. This article analyzes its technical characteristics, model family, and how to easily deploy it using existing LLM tools. In the field of Artificial Intelligence Text-to-Speech (TTS), developers often face a difficult choice: pursuing extreme realism usually means massive models and expensive computational costs; if speed and lightweight design are prioritized, the resulting voice often sounds mechanical and lacks soul. However, the latest MioTTS project released by open-source developer Aratako seems to have found a new way to break this deadlock.

#voice
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February 13

1 Updates
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AI Daily: Google Reasoning Evolution, MiniMax vs. OpenAI Speed War, Anthropic Valuation Skyrockets

It has been a wild weekend, with AI news flooding in like an avalanche. If you thought the previous pace of model updates was fast, the developments over the past two days might redefine your definition of “efficiency.” Today, we’re skipping the vague concepts and diving straight into the substance these four giants have delivered. From Google enabling AI to think like a scientist, to the head-to-step confrontation between MiniMax and OpenAI in coding speed, and finally to Anthropic’s staggering valuation, every update points to the same trend: AI is no longer just a toy for chatting; it is becoming a practical tool for solving complex scientific problems and engineering challenges.

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February 12

1 Updates
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AI Daily: Zhipu GLM-5 Open-Sourced, Gemini Deep Think Debuts, Claude Opus 4.6 Safety Report

In the rapidly evolving world of artificial intelligence, today stands out as a landmark day. From bombshells in the open-source community to new reasoning breakthroughs from tech giants and deep dives into model safety, every update is critical for developers and researchers. If you’ve been feeling overwhelmed by the pace of progress, today’s roundup will help you focus on what matters most. We’ll dive into Zhipu AI’s latest GLM-5 model and its massive leap in parameter scale, explore how Google DeepMind’s Gemini Deep Think is tackling problems that have long puzzled mathematicians, and analyze Anthropic’s sabotage risk report for Claude Opus 4.6 to see how top-tier models are balancing power and safety.

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February 11

2 Updates
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AI Daily: OpenAI Deep Research Upgraded to GPT-5.2! Anthropic Predicts 2026 Coding Trends, and More AI Tech to Watch

Major updates in the AI field this week! OpenAI officially upgrades the core of Deep Research to GPT-5.2 and introduces a new full-screen reading experience. Anthropic releases its 2026 Coding Trends Report, predicting that “Agentic Coding” will fundamentally change the role of engineers. Additionally, the open-source community sees the powerful MOSS-TTS voice model and Qwen-Image-2.0 engine. However, a security vulnerability in Claude Desktop shouldn’t be ignored. This article takes you deep into these key developments.

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tool •

MOSS-TTS Deep Dive: The Production-Grade Open-Source Voice Model Outperforming Gemini—It Even Generates Sound Effects

Imagine being able to not only clone anyone’s voice but also create speakers who have never existed, and even generate the sound of rain in the background or the bustle of a street with a single click. It sounds like something out of a sci-fi movie, but with the release of MOSS-TTS, this has become a reality. For a long time, developers and creators have had to compromise between “realism” and “stability” when looking for speech synthesis solutions. Some models sound great but break down during long passages, while others are stable but sound robotic. The OpenMOSS team clearly saw this gap, and in February 2026, they delivered not just a single model, but an entire “MOSS-TTS Family” solution. This system not only challenges Google’s Gemini 2.5 in dialogue capabilities but also introduces a surprising sound effect generation feature, attempting to redefine the standards for open-source audio models.

#voice
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February 6

1 Updates
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AI Daily: Clash of the Titans: Claude Opus 4.6 vs. GPT-5.3-Codex Ignites AI Agent War, Automated Coding Enters a New Phase

The past 24 hours in the field of artificial intelligence can simply be described as “insane.” This isn’t just about upgrades in model parameters; it’s a revolution in how “AI Agents” are reshaping workflows. OpenAI and Anthropic have both revealed their trump cards, while Google has also made new moves in infrastructure and accessibility design. This article will take you deep into the core of this technological wave, from the duel between the two most powerful models to codebases that can “drive themselves,” and how enterprises can manage these super employees.

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February 5

2 Updates
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AI Daily: Altman Slams Claude for No Ads, Google Revenue Surpasses $400B

This week in AI was filled with philosophical debates and business fireworks. Anthropic announced that Claude will remain ad-free, emphasizing its purity as a “space to think.” This move drew a sharp response from OpenAI CEO Sam Altman, sparking a debate over AI democratization and business models. Meanwhile, Google reported stellar earnings driven by Gemini 3, with annual revenue surpassing $400 billion. The tech community also welcomed Mistral’s open-source voice model, Voxtral, featuring ultra-low latency and edge computing capabilities.

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tool •

Mistral Voxtral 4B Arrives: An Open-Source Real-Time Voice Model Under 500ms, Challenging Gemini and GPT-4o Dominance

This brand-new voice model not only boasts a compact 4-billion-parameter size but also breaks the rules of the voice transcription market with its stunning low latency and Apache 2.0 open-source license, bringing unprecedented local computing potential to developers. In the past, when high-precision voice transcription was mentioned, people usually thought of OpenAI’s Whisper or Google’s voice services. While powerful, these tools often come with an annoying problem: latency. Typically, the system needs to wait for a sentence to finish, “think” for a moment, and then the text appears. For those wanting to build real-time interpretation or an AI assistant like Iron Man’s Jarvis that can interrupt at any time, this wait is a fatal flaw.

#asr
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February 4

2 Updates
tool •

ACE-Step 1.5 Released: Open Source AI Music Generator Running on 4GB VRAM, A Strong Rival to Suno?

This is news that will make music creators and AI enthusiasts smile. To be honest, over the past year or two, we’ve watched commercial giants like Suno and Udio conquer the market. Although the quality of the music they generate is amazing, the feeling of “look but don’t touch” is always a bit itching. After all, these models are locked behind paywalls, and we can’t run them on our own computers, let alone fine-tune them for our own styles.

#music
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AI Daily: ACE-Step 1.5 Open Source Music Model Debuts, Qwen3 Enhances Coding AI, GPT-5.2 Speeds Up

This week, the AI field has seen several major updates. ACE-Step 1.5 debuted as an open-source project, claiming to rival or even surpass Suno in some indicators, and can run on general home computers; Alibaba Cloud’s Qwen team launched Qwen3-Coder-Next, a coding model designed specifically for “Agents”; and OpenAI silently significantly improved the inference speed of GPT-5.2. In addition, OpenRouter launched a free model routing service, while NotebookLM brought video overview functions to mobile phones. This article will analyze these technological breakthroughs and their impact on developers and creators in detail.

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February 3

2 Updates
tool •

0.9B Parameters Challenging SOTA! Zhipu GLM-OCR Open Source: Accelerating Document Parsing by 10x

Zhipu AI open sources the GLM-OCR model, achieving SOTA performance in complex table and formula recognition with only 0.9B parameters. Its performance rivals GPT-5.2 and Gemini-3-Pro, with inference costs only one-tenth of traditional OCR. Learn how to deploy this lightweight document parsing tool and achieve direct Markdown and JSON structured output! Honestly, the development of AI in the past few years seems to have created a myth: as long as the model parameters are large enough, all problems can be solved. Tech giants are racing to launch multi-modal large models with tens or even hundreds of billions of parameters. However, when developers and enterprises actually want to apply these giants to real-world applications, high computing costs and frustrating latency often become the biggest stumbling blocks.

#ocr
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news •

AI Daily: SpaceX Acquires xAI, OpenAI Launches Desktop Command Center

In this tech world full of surprises, it seems like something big happens every morning we wake up. If we used to discuss how AI chats, the focus has now shifted to how AI “takes over” work, and even how it flies into space. Today’s content is rich, featuring not only the blockbuster merger of SpaceX and xAI but also OpenAI’s brand new developer tool, and even Google teaching AI how to deceive people at the poker table. Let’s take a look at these technological advances that are changing the future.

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January 30

2 Updates
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AI Daily: AI Creator Arrives? Project Genie Lets You Create Infinite Worlds, Grok Video API Storms In

Big events in the AI world this week: Google DeepMind launches Project Genie, capable of creating infinite interactive worlds, giving users the fun of being a creator; xAI opens up its powerful Grok Imagine video generation API to stake a claim in the visual generation field. Meanwhile, OpenAI announces the retirement of old models like GPT-4o in February to focus on a more personalized next-generation system, and Google Maps navigation now lets you chat with Gemini like a friend while walking.

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tool •

Qwen3-ASR Heavyweight Open Source: Challenging Whisper's Dominance, Precise Recognition for 'Singing' and 'Dialects'?

For a long time, OpenAI’s Whisper series models have almost become the standard answer in the field of open source automatic speech recognition (ASR). Whenever developers need to handle speech-to-text tasks, the first name that comes to mind is usually it. But frankly, this “one-player domination” seems to be breaking. The Qwen team recently released the Qwen3-ASR series without warning. This is not just a routine version update, but more like a powerful impact on the boundaries of existing speech recognition technology.

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January 29

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tool •

A Thinking AI Painter? Tencent HunyuanImage 3.0-Instruct Understands You Better for Image Editing

Are you tired of AI drawing tools that “don’t understand human language”? Tencent’s newly launched HunyuanImage 3.0-Instruct is not just generating images; it’s more like an artist who thinks before drawing. Through unique Chain-of-Thought (CoT) technology and a powerful multi-modal architecture, this model shows amazing strength in understanding complex instructions, precise image editing, and multi-image fusion. This article takes you deep into the technical highlights and practical applications of this open-source model.

#image
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news •

AI Daily: GPT-5.2 Quietly Launches in Prism Scientific Platform, Chrome Browser Evolves "Autopilot" Capability

In the rapidly changing world of artificial intelligence, the competitive landscape for major tech giants has shifted from simple “chatbots” to more specific application scenarios. Whether it’s precision collaboration tools needed by scientists or the automated browsing experience desired by ordinary users, AI is permeating our lives in a more nuanced and intimate way. Today’s AI Daily brings you four major stories: OpenAI launches the Prism platform tailored for scientists; Google Chrome integrates Gemini 3 to achieve automated browsing; Google upgrades TFLite to LiteRT to unify on-device AI development; and Anthropic releases a profound study on how AI might weaken human autonomy.

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tool •

FASHN VTON v1.5 Debuts: High-Quality Virtual Try-On AI on Consumer GPUs, Detail Retention Better Than Ever

FASHN VTON v1.5 is a new open-source virtual try-on AI model using the Apache-2.0 license, allowing for commercial use. Its biggest feature is generating images directly in ‘pixel space’ rather than the traditional latent space, retaining more fabric details. Even better, it runs on consumer graphics cards with just 8GB VRAM. This article details its technical architecture, advantages, and how to install and use it. For people who frequently buy clothes online, the biggest pain point is undoubtedly “Does this look good on me?”. Although Virtual Try-On (VTON) technology has been around for a while, past solutions often faced two extremes: either closed-source commercial software with excellent effects but requiring expensive computing power, or open-source projects with mediocre effects and complex installation.

#image
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tool •

Kimi K2.5 Model Analysis: A New Benchmark for Open Source, Demonstrating Visual Coding and Multi-Agent Collaboration

Moonshot AI releases the latest open-source model Kimi K2.5, featuring native multi-modal capabilities and powerful “Agent Swarm” technology. This article analyzes its breakthrough performance in visual code generation, multi-agent collaboration, and complex office tasks, exploring how it achieves efficiency surpassing single agents at a lower cost. There is exciting news in the tech circle recently: Moonshot AI officially launched Kimi K2.5. This is not just an ordinary model update; it is one of the most powerful open-source models available today. After continuous pre-training on approximately 15T (trillion) mixed vision and text tokens, K2.5 has demonstrated impressive strength in code writing, visual understanding, and Agent Swarm.

#coding #llm
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January 28

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AI Daily: DeepSeek OCR 2 Open Sourced, Google AI Plus Rollout: New Battleground for Vision Models and Subscriptions

This week’s AI developments can only be described as “dazzling.” This is not just an arms race of model parameters, but a technological revolution regarding “how AI views the world like a human.” DeepSeek has once again demonstrated the open-source spirit by releasing the OCR 2 model introducing “Visual Causal Flow,” attempting to break the deadlock of traditional visual scanning; meanwhile, Google is not to be outdone, launching a more affordable AI Plus subscription plan on one hand, and showcasing Agentic Vision in Gemini 3 Flash capable of “active investigation” on the other. Of course, there is also the Z-Image foundation model brought by Tongyi Lab, injecting new vitality into the field of image generation.

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DeepSeek-OCR 2 Unveiled: Visual Logic Where Machines Finally Learn to 'Jump Read' Like Humans

The DeepSeek team has recently dropped another bombshell in the open-source community. The DeepSeek-OCR 2 they brought this time is not just simply improving OCR (Optical Character Recognition) accuracy by a few percentage points. This model touches upon a long-ignored but crucial core issue: the way machines view images has actually always been wrong. If you observe existing visual models closely, you will find they all have a “bad habit.” Regardless of what the image content is, they always scan rigidly from the top-left corner to the bottom-right (Raster-scan). But is this really the correct way to read? Think about how your eyes move when you read a newspaper, look at a complex chart, or browse a webpage. Your eyes “jump” according to the logical relationship of headlines, columns, and images. This is human reading intuition.

#ocr
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tool •

Tongyi Z-Image Powerful Debut: Regaining Ultimate Control and Diversity in AI Art

In an era where AI drawing pursues extreme speed, Tongyi Lab’s Z-Image chooses a different path. This “undistilled” foundation model sacrifices some generation speed in exchange for absolute control over the image, amazing stylistic diversity, and high friendliness towards developers. This article will take readers deep into the technical core of Z-Image, exploring how it becomes a magical weapon in the hands of professional creators and developers, and detailing the key differences between it and the Turbo version.

#image
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January 27

1 Updates
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AI Daily: NVIDIA Open Sources Earth-2 Weather Model, OpenAI Hosts Developer Town Hall, ChatGPT Ad Prices Surpass Traditional TV

NVIDIA officially open sources the Earth-2 weather forecasting model, with institutions including Taiwan’s Central Weather Administration being among the first adopters. Meanwhile, OpenAI held a developer town hall, revealing new tools and the GPT-5 roadmap. On the other hand, ChatGPT’s ad pricing has leaked, with a CPM of up to $60 shocking the market. This article will analyze these three major AI stories for you. The pace of the tech world is always breathtaking, especially when two giants, NVIDIA and OpenAI, make major moves almost simultaneously. Have you ever imagined that future weather forecasts could be accurate to your doorstep without waiting hours for supercomputer calculations? Or, have you wondered what commercial value lies behind ChatGPT’s powerful conversational abilities?

#daily
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