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Today

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AI Daily: Llama 4 Benchmark Faking Confirmed? Yann LeCun Drops Bombshell Before Departure, OpenAI Secretly Building Voice Hardware

In this whirlwind week in tech, from bombshells within Meta to practical tips for developer tools and breakthroughs in model architecture, the volume of information is staggering. This isn’t just about whose model is stronger; it’s about integrity, the philosophy of tool usage, and the future of how we interact with machines. Meta’s Trust Crisis: Llama 4 Benchmarks Confirmed to be “Fudged” This might be the biggest scandal in the AI circle recently. For a long time, the community has had doubts about Meta Llama 4’s benchmark results, feeling the data was almost too good to be true. Now, those suspicions have finally been confirmed internally—and by none other than departing Chief AI Scientist Yann LeCun.

December 30

1 Updates
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AI Daily: Meta Acquires Manus, Fal Open Sources FLUX.2 Model Igniting Generation Speed War

The pace of the tech world never disappoints, especially at this moment when AI applications are gradually landing. Two heavy news exploded on the same day. One is the social giant Meta once again showing its determination to expand its territory by bringing Manus, a leader in general AI Agents, under its wing; the other is a technological breakthrough in the field of image generation, with the Fal team delivering a Christmas and New Year’s gift.

December 26

1 Updates
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AI Daily: Google 2025 Year in Review, Major Updates for Kilo & Windsurf, and Year-End Deals

2025 has been a year for the history books in the field of Artificial Intelligence. If 2024 was about laying the foundation for multimodal models, 2025 marks the point where AI truly began to think, act, and explore the world alongside humans. This post dives into Google’s new annual research report, exploring how Gemini 3 is changing the game. We then discuss Kilo’s new App Builder and how it challenges existing AI code generation tools, as well as the surprises in Windsurf’s Wave 13 update. Plus, the year-end deals you care about most, including offers from Google One, Claude, and Codex.

December 24

1 Updates
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AI Daily: AI Store Manager Almost Broke the Law? Anthropic Vending Machine Experiment, MiniMax & Qwen New Models Analysis

This isn’t just about updates to code or pixels; it’s an amusing story about how AI attempts (and stumbles) to enter the physical world. The most striking news this week comes from Anthropic’s lab, where their AI model attempted to run a physical store but almost got into serious trouble due to a lack of legal understanding. Meanwhile, MiniMax brings version M2.1 tailored for complex programming tasks, and Qwen has achieved a breakthrough in image editing consistency. Let’s delve into the details behind these technological advancements.

December 23

2 Updates
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AI Daily: The 2025 Year-End Tech Battlefield: GLM-4.7's Aesthetic Intuition and Anthropic's Standardization Ambition

As 2025 comes to a close, while most are preparing for the holidays, the AI world is busier than ever. Major tech giants are releasing heavy-hitting updates to seize the initiative for the coming year. This time, the conversation has shifted from pure computing power to “utility” and “security.” From Z.ai’s aesthetic-conscious coding model to Anthropic’s attempt to set rules for Agents, and OpenAI’s browser defense lines, every move targets developers’ pain points. For those of us wrestling with code and workflows daily, this week’s news is worth a closer look—after all, the quality of our tools determines whether we get off work early or pull an all-nighter debugging.

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GLM-4.7 Released: Saving Developer Aesthetics with 'Vibe Coding' and Challenging Top Models at 1/7 the Price

By late 2025, the direction of the AI model race seems to have shifted. While others have been competing on parameters and computing power, Z.ai’s latest GLM-4.7 has taken a unique path: it doesn’t just make AI coding stronger; it makes AI understand “design.” Defined as a “next-generation coding partner,” this model makes a leap in logical reasoning while solving a long-standing pain point for full-stack developers—perfect backend logic with terrible frontend interfaces.

December 22

2 Updates
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AI Daily: AI Agents Finally Get Their Own UI Language? Google A2UI and Anthropic Bloom Lead a New Development Wave

The AI landscape has been buzzing lately, with both underlying protocols and everyday tools undergoing a transformation. If you’ve felt that AI Agents have been stuck—unable to do much beyond typing in a chat box—Google’s new A2UI protocol might be a game-changer. On another front, Anthropic has open-sourced Bloom, a tool designed to take over the tedious “bug-hunting” work that previously required massive human effort. These developments suggest one thing: we are one step closer to a future where we can get everything done just by speaking.

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Alibaba Cloud Qwen-Image-Layered Debuts: AI Finally Learns to Edit Images with Layers

The newly released Qwen-Image-Layered model from Alibaba Cloud attempts to solve a long-standing pain point in generative AI. This article explores how the model uses RGBA layering technology to decompose images into independently editable assets, enabling precise object removal, text modification, and infinite recursive decomposition. This shift moves AI image generation from flat images into professional workflows. Have you ever encountered a frustrating issue when using AI image generation tools like Stable Diffusion or Midjourney? You finally generate a perfectly composed image, only to find that the main subject is slightly off-position or there’s a strange object in the background. If you try to inpaint, you often find that changing one thing affects everything—fixing one spot might ruin the lighting or distort the background you were satisfied with.

December 19

1 Updates
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AI Daily: GPT-5.2-Codex Sets New Standards, Google DeepMind Enters National Science Missions

Today’s AI landscape is bustling, with tech giants seemingly coordinating to release major annual updates simultaneously. For developers, scientists, and business decision-makers, this is a pivotal moment to watch. OpenAI raises the bar for code generation again with GPT-5.2-Codex, Mistral AI demonstrates amazing precision in document processing, and Google goes full throttle on development tools, model families, and national-level scientific collaborations. This article will take you deep into the core highlights of these new technologies, analyzing how they practically change our work and scientific research methods.

December 18

5 Updates
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AI Daily: Google Launches Gemini 3 Flash for Speed and Cost Efficiency, OpenAI Opens ChatGPT App Store

In this wave of AI, December seems to be the key moment for tech giants to flex their muscles. Google not only updated its models but also pushed the battle to the extreme balance of “speed” and “utility”; OpenAI chose to expand its ecosystem, allowing developers to truly build business models on the ChatGPT platform; while Microsoft quietly dropped a bombshell in the 3D generation field. This article will take a deep dive into these three major updates to see how they impact our work and creativity.

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Gemini 3 Flash: How Google Breaks the 'Smart but Slow' AI Convention?

Remember? In the past, when choosing an AI model, it always felt like a dilemma: choose a top-tier model that is “brainy but slow to react and expensive”, or a lightweight player that is “quick, easy on the pocket, but occasionally makes small mistakes”? It’s like being forced to compromise between speed and intelligence. Google’s latest masterpiece, Gemini 3 Flash, completely rewrites this rule. Not only is it fast, but it’s also surprisingly smart, and unexpectedly affordable. This model is born for workflows requiring “high-frequency interaction,” with a clear goal: to prove that powerful intelligence can coexist with lightning speed.

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Goodbye Cloud Latency: NeuTTS Air Brings Ultra-Realistic Voice to On-Device

Voice AI technology is finally no longer held hostage by expensive APIs and network latency. NeuTTS Air, launched by Neuphonic, is a lightweight voice generation tool based on a 0.5B language model, designed to run on local devices, capable of voice cloning with just 3 seconds of audio. This article will show you how it changes the development logic of voice assistants, smart toys, and privacy applications. For a long time, the most cutting-edge voice AI technology seemed to always be locked behind the high walls of cloud APIs. Developers who wanted to use those high-quality voices that didn’t sound robotic often had to endure network latency and worry about increasing token costs.

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Microsoft TRELLIS.2 Open Source Debut: How a 4B Parameter Model Redefines the High-Definition Standard for Single-Image to 3D

The Microsoft research team has newly released TRELLIS.2, a 4-billion-parameter image-to-3D model featuring innovative O-Voxel representation and SC-VAE technology. This article will analyze how it achieves high-fidelity generation at 1536³ resolution and explore its breakthroughs in PBR material restoration and geometry. Remember Microsoft TRELLIS? In the field of 3D generation technology, deriving a 3D model with both precise geometric structure and realistic material texture from a single 2D image has always been a huge challenge for developers. The Microsoft research team, in collaboration with Tsinghua University and the University of Science and Technology of China, has officially launched TRELLIS.2. This is not just a version number update; this open-source model with 4 billion parameters (4B) attempts to solve the pain points of detail loss and blurry textures in past 3D generation through a brand-new technical architecture.

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MiraTTS: The Rising Star in Speech Synthesis Breaking Limits—How to Achieve 100x Real-Time Generation and 48kHz High Fidelity?

Do you want human-like AI voice but are limited by hardware or generation speed? MiraTTS has emerged, an LLM-based speech synthesis model that not only runs on just 6GB VRAM but also achieves 100x real-time generation speed and 48kHz broadcast-quality sound via Lmdeploy and FlashSR. This article will delve into the power of MiraTTS and the technical principles behind it. This tool was seen here: MiraTTS: High quality and fast TTS model

December 17

4 Updates
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AI Daily: OpenAI Launches Powerful Image Editing Model, Meta Revolutionizes Audio Editing - Top 5 Major Updates from AI Giants This Week

This week has been bustling for the artificial intelligence field. From visual creation to audio processing, scientific research, and daily productivity, tech giants have released impressive new tools. OpenAI has finally addressed the pain point of AI image “fine-tuning,” Meta handles sound like photo editing, and Google aims to smooth your daily workflow. These updates are not just technical stacks but directly impact how creators and professionals work. Here is a deep dive into five major updates that might change the future of work.

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Alibaba Cloud Open Sources CosyVoice 3: 0.5B Parameter Model Shows Amazing Speech Synthesis Capabilities

Alibaba Cloud’s FunAudioLLM team has released CosyVoice 3, a TTS model with only 0.5B parameters that supports 9 languages including Chinese, English, Japanese, and Korean, as well as 18 dialects. It features ultra-low latency of 150ms and high fidelity. This article details its technical features, benchmarks against models like F5-TTS, and how to apply it. A New Breakthrough in Speech Synthesis Technology: CosyVoice 3 Arrives Have you noticed that recently, AI-generated speech is becoming increasingly difficult to distinguish from real human voices? The robotic, stiff intonations of the past seem to be disappearing rapidly. Just recently, Alibaba Cloud’s FunAudioLLM team dropped another bombshell by officially open-sourcing their latest TTS (Text-to-Speech) model—Fun-CosyVoice3-0.5B.

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Meta Launches SAM Audio: The Auditory "Magic Wand" Making Sound Editing as Simple as Photo Editing

Imagine being able to isolate a guitar solo just by clicking on the guitar in a video. Meta’s newly released SAM Audio model completely changes how we process audio through text, visual, and span prompts. This is not just a technological breakthrough in AI but a boon for creators. This article explores how this technology works and why it makes audio engineering so accessible. Remember the “Segment Anything Model (SAM)” released by Meta before? The magical AI that could automatically remove backgrounds just by clicking on anything in a picture. To be honest, everyone was thinking back then: wouldn’t it be great if this technology could be used on “sound”?

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Xiaomi MiMo-V2-Flash Arrives Strong: Wielding 309B Parameters of Top-Tier Intelligence with the Computational Cost of 15B

At a time when AI models are emerging endlessly, developers and businesses often face a dilemma: should they pursue models with massive parameters to obtain higher “IQ,” or compromise on computational costs and choose smaller models with faster responses? Usually, it is difficult to have both. However, Xiaomi’s recently launched MiMo-V2-Flash seems to have found a clever balance point. Although this model nominally has a total of 309 billion (309B) parameters, in actual operation, it acts like a budget-conscious steward, invoking only 15 billion (15B) active parameters each time. What does this mean? Simply put, you possess the knowledge reserve of a super-large library, but retrieving information only costs the time of flipping through a few books.

December 16

2 Updates
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AI Daily: OpenAI Audio Models Evolve, Nvidia and Google Release Major Updates

The speed of updates in the field of artificial intelligence is always dazzling, with new tools born every day attempting to change workflows. Today’s key updates are exciting, from OpenAI finally solving the “mishearing” problem of audio models, to Nvidia launching a new model combining two powerful architectures, and even Manus making developing mobile apps as simple as speaking. These updates are not just cold parameter improvements, but practical tools that can really save you time. Let’s look directly at how these new technologies affect your work.

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Unveiling Resemble AI's Chatterbox-Turbo: Redefining Realism and Performance in Open Source TTS

An in-depth analysis of Resemble AI’s newly released Chatterbox-Turbo, and how this open-source model with only 350M parameters redefines the realism of speech synthesis through single-step decoding and paralinguistic tags (like laughter, coughing). This article provides a detailed parameter tuning guide, installation tutorial, and discusses its built-in PerTh watermark security technology. Have you noticed that although Text-to-Speech (TTS) technology is very advanced now, it still sounds a bit less “human”? Most AI voices, while clear, are often too perfect, and that feeling of perfect enunciation creates a sense of distance. However, Resemble AI’s recently released Chatterbox-Turbo seems intent on breaking this barrier. It is not just a new model, but more like an extreme balance of “efficiency” and “naturalness”.

December 15

1 Updates
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AI Daily: From Sora's Holiday Effects to Google Maps' Visual Revolution

As AI tools increasingly integrate into daily life, tech giants have released a series of exciting updates. This time, the focus shifts from cold data processing to the ‘visual’ and ‘auditory’ senses closer to human experience. From the deep integration of Google Maps and Gemini to how OpenAI built the Android version of Sora in just one month, these developments foreshadow a fundamental change in how we interact with the digital world.

December 12

1 Updates
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AI Daily: GPT-5.2 Reshapes Professional Work, Disney Partners with OpenAI to Disrupt Film Creation

OpenAI launches the powerful GPT-5.2 series, Google releases the Deep Research agent, and Disney bets $1 billion on Sora. This is not just a technical iteration, but a comprehensive overhaul of productivity and creativity. This article takes you deep into these game-changing AI advancements. If yesterday you still thought AI was just a chatbot, you woke up this morning to a changed world. The volume of news from the tech world in the last two days has been suffocating. OpenAI not only served up the long-rumored GPT-5.2, but also brought in the entertainment empire Disney for a billion-dollar gamble; meanwhile, Google wasn’t to be outdone, dropping Gemini Deep Research that can automatically write thesis-level reports for you, and even aiming to completely change how we surf the web with a brand new browser experience, GenTabs.

December 11

3 Updates
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AI Daily: Adobe Partners with ChatGPT to Make Creativity Accessible, Cursor and Google Jules Redefine Coding

In this moment of constant AI technological innovation, the tech world welcomes several heavyweight updates today. From creative design to code debugging, to breakthroughs in speech synthesis technology, these tools are quietly changing the way we work. Most notable are Adobe integrating its core apps into ChatGPT, and Cursor and Google launching revolutionary features in the coding development field respectively. This is not just an upgrade of tools, but a brand new imagination of workflow.

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Making AI Speak with Real Emotion: Analyzing the Open Source GLM-TTS Model and Voice Cloning Technology

Explore GLM-TTS launched by the Zhipu AI team. How does this powerful open-source speech synthesis system achieve high-quality voice cloning with just a few seconds of material through a unique reinforcement learning architecture? This article will analyze its technical principles, emotion control functions, and practical applications in detail, taking you to understand this rising star in the open-source community. AI Voice Is No Longer Just a Cold Robot Have you noticed that although AI voices on the market are becoming clearer, something always seems to be missing? Yes, it is that “human touch.” Most synthesized voices sound standard but lack the natural emotional ups and downs, pauses, and even laughter of speaking. However, the open-source community has recently welcomed an exciting new tool that might change this status quo.

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Open Source ASR Newcomer GLM-ASR-Nano-2512 Debuts, Benchmarks Beat OpenAI Whisper V3

GLM-ASR-Nano-2512, with its lightweight design of 1.5B parameters, has beaten OpenAI Whisper V3 in multiple speech recognition benchmarks. This open-source model not only excels in dialect recognition such as Cantonese, but also accurately captures low-volume “whisper” conversations, providing developers and researchers with an efficient and powerful new choice. In the field of Automatic Speech Recognition (ASR), OpenAI’s Whisper series has long been seen as an insurmountable wall. Many developers are accustomed to using it as the default solution. However, with the iteration of technology, more competitive challengers are beginning to appear in the market. Recently, an open-source model named GLM-ASR-Nano-2512 has attracted widespread attention. It does not blindly pursue a huge parameter scale, but with a volume of 1.5B parameters, it demonstrates amazing efficiency and accuracy in handling complex real-world scenarios.

December 10

1 Updates
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AI Daily: Mistral Devstral 2 Arrives, OpenAI Launches Official Certification Courses

Major updates in AI this week, ranging from developer tools to educational certifications. Mistral AI launched the powerful Devstral 2 model and Vibe CLI, attempting to change the development experience for engineers; OpenAI partnered with Coursera to officially launch AI skill certifications, aiming to equip millions with practical AI capabilities in the coming years. Additionally, Google Cloud released AlphaEvolve, taking algorithm optimization to a new level, while designers welcomed Google Stitch’s heatmap prediction feature. Let’s look at how these updates affect various industries.

December 9

2 Updates
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AI Daily: Nvidia Chip Ban Lifted Shock, ChatGPT Turns into Shopping Mall, and the Real State of Enterprise AI

The tech world is bustling today, from geopolitical chip games to feature upgrades in our daily chatbots, every piece of news affects future development directions. Imagine, the AI that used to only chat can now help you buy groceries directly, or those high-end chips that were banned from export suddenly have a turnaround. The logic and influence behind this cannot be underestimated. This article will take you through these heavy-hitting news stories to see how they specifically affect our lives and work patterns.

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GLM-4.6V Arrives: Seamless Integration of Visual Perception and Action Execution

The GLM-4.6V series models officially debut, bringing two versions: 106B and 9B, targeting high-performance cloud and low-latency local scenarios respectively. This article will analyze how its native Function Calling capability breaks the boundary between ‘seeing’ and ‘doing’, and delve into its practical applications in long document understanding, frontend code generation, and mixed image-text creation. Detailed benchmark data and deployment resources are also included. A New Milestone for Vision Models: More Than Just “Understanding” Developments in the field of Artificial Intelligence are always dazzling. Just as we got used to language models being eloquent, Multimodal AI has raised the bar to a new level. The release of GLM-4.6V brings a quite interesting signal: models are no longer satisfied with “looking at pictures and talking”, they are starting to try “looking at pictures and doing things”.

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December 8

1 Updates
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AI Daily: Gemini 3 Flash Quietly Appears, Pro Version's Major Vision Breakthrough, and Antigravity Usage Limit Updates Explained

The AI circle has been incredibly lively these past few days. From Google DeepMind’s frequent moves, we are on the eve of a new wave of technological explosion. Whether it’s the mysterious model appearing in the arena or the significant leap in visual recognition technology, every piece of news touches the nerves of developers and tech enthusiasts. Ready to see what’s worth paying attention to today? Let’s take some time to talk about these ongoing changes.

December 5

3 Updates
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AI Daily: AI Reasoning Breakthrough: Gemini 3 Deep Think Arrives, Major Updates from Cursor and Anthropic

In late 2025, with AI technology evolving rapidly, we seem to witness a technological mini-revolution every few days. It’s not just about model parameters getting larger, but about them becoming ‘smarter’ and how we coexist with these digital brains. Today’s news is exciting, from Google’s new mode challenging human logic limits, to Cursor’s fundamental overhaul for GPT-5.1, and Anthropic’s sociological experiment attempting to understand the human heart—each is worth savoring.

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LLM Evaluation Guide: A Complete Analysis from Basics to 2025 Latest Benchmarks

In the field of Artificial Intelligence, training or fine-tuning a Large Language Model (LLM) is just the first step. The real challenge often lies in the subsequent question: How exactly do we judge whether this model performs well? The market is flooded with various leaderboards, benchmarks claiming to test reasoning or coding abilities, and academic papers constantly refreshing the “State of the Art” (SOTA). However, what do these scores actually mean?

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Microsoft VibeVoice: 0.5B Lightweight Model Defines New Streaming TTS Standard, Achieving 300ms Ultra-Low Latency

Microsoft releases VibeVoice-Realtime-0.5B, a lightweight text-to-speech model based on Qwen2.5. It supports streaming input and long text generation with first-word latency as low as 300ms. This article analyzes its technical architecture, performance evaluation, and usage limitations. Imagine when you talk to an AI, it responds almost the instant you finish speaking. Does this fluidity make you feel more like you’re talking to a real person? This is exactly the holy grail that Text-to-Speech (TTS) technology has been pursuing. Microsoft recently launched an open-source model called VibeVoice-Realtime-0.5B. This isn’t just another speaking tool; it attempts to solve the most thorny issue in current voice interaction: Latency. This model focuses on being lightweight and real-time, capable of achieving a first-word latency as low as 300 milliseconds, hardware permitting.

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