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Today

2 Updates
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AI Daily: Tech Giants Shake Silicon Valley: Apple Partners with Google Gemini, and the New Battlefield for AI Agents

Tech Giants Shake Silicon Valley: Apple Partners with Google Gemini, and the New Battlefield for AI Agents It’s a moment full of variables. Just when we thought the AI race landscape was set, Silicon Valley’s tectonic plates shifted again. Today’s news isn’t just about tech upgrades, but how future ecosystems will operate. Apple’s choice to ally with Google is undoubtedly the biggest news recently, but it’s not the only highlight—from Anthropic’s new work mode to DeepSeek’s architectural breakthroughs, AI is moving from simple “chat” to true “action” and “efficiency”.

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Tencent's New Open Source Dominator HY-MT1.5: A 1.8B Translation Model That Runs on Laptops, Fast Enough to Make You Forget the Cloud

The Tencent Hunyuan team has officially released the open-source translation model HY-MT1.5. This update brings two versions: an extremely lightweight 1.8B model and a powerful 7B model. The 1.8B version, with only 1GB memory footprint and 0.18s ultra-low latency, makes ‘offline high-quality translation’ a reality. This article delves into the technical details, deployment advantages, and how it challenges existing commercial translation APIs. The Slimming Revolution of Translation Models: Why You Need to Pay Attention to HY-MT1.5? When mentioning high-quality machine translation, what often comes to mind are giant models running on massive servers. Want precision? You have to endure the latency and potential privacy risks of cloud APIs. Want speed? Past offline models often produced messy translations.

Yesterday

1 Updates
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New Height for Audio-Video Sync: LTX-2 Open Source Model Debuts, Single Model Handles Both Visuals and Sound

Explore Lightricks’ newly launched LTX-2 model. This DiT-based open-source tool not only generates high-quality video but also synchronously produces sound effects. This article delves into its technical specifications, ComfyUI integration, and training features, allowing creators to easily master this latest tool for audio-video generation. A New Breakthrough in Audio-Video Generation: LTX-2 Is Here Have you noticed that while there are many AI video generation tools recently, something always feels missing? Usually, the videos we generate are “silent movies,” and we have to find another tool to dub them, creating a disjointed experience that is often a headache.

January 9

2 Updates
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AI Daily: Tailwind's Struggle, GPT-5.2 Enters Healthcare, Gmail Becomes a Butler

2026 has just begun, and the atmosphere in the tech world has become somewhat subtle. On one side, giants have launched more powerful models in healthcare and personal assistants, as if sci-fi plots are coming true; on the other, heart-wrenching news comes from the open-source community. When AI truly starts taking over our work and lives, who exactly benefits, and who is paying the price? There is a lot of news this week, so let’s focus on a few key points truly worth watching.

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MOSS-Transcribe-Diarize Released: Can this Multimodal AI Finally Understand Multi-person Arguments and Dialect Jokes?

OpenMOSS team released MOSS-Transcribe-Diarize at the beginning of 2026, an end-to-end multimodal large language model. It not only performs accurate speech transcription but also solves the long-standing problems of “multi-person overlapping dialogue” and “emotional speech” recognition. This article takes you deep into how this technology surpasses GPT-4o and Gemini and its practical application in complex speech scenarios. (This article is a reserved post and will be updated later) Have you ever had this experience? When reviewing video conference recordings or organizing interview audio, once two or three people speak at the same time, the subtitle software starts “speaking gibberish,” producing a pile of unintelligible text. Even when the speaker uses some dialect or gets emotional, AI often just waves the white flag.

January 8

2 Updates
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AI Daily: ChatGPT Enters Healthcare vs. Gemini's Counterattack: 2026 AI Landscape Privacy Wars and Tech Struggles

At the start of 2026, the AI industry has seen several major events. OpenAI officially launched “ChatGPT Health” designed for healthcare, attempting to transform AI assistants into personal health consultants for everyone; meanwhile, Google’s Gemini has made significant gains in traffic and released powerful CLI Skills updates for developers. However, behind the technological rush, the shadow of cybersecurity remains—Chrome extensions with nearly a million users were found to have malicious code implanted, stealing a massive amount of AI conversation logs. This article will take you deep into these changes and explore how Liquid AI is redefining privacy standards through “on-device processing”.

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Breaking Free from Cloud Dependency: Liquid AI's New Model Makes Meeting Summaries More Private and Real-time

Still worried about the risks of uploading sensitive meeting minutes to the cloud? Liquid AI, in collaboration with AMD, has launched LFM2-2.6B-Transcript, an ultra-lightweight AI model capable of running locally. It is not only incredibly fast but also fully protects privacy, and most importantly, it has extremely low hardware requirements, allowing even typical laptops to produce enterprise-grade meeting summaries. Let’s see how this technology changes the way we process information.

January 7

1 Updates
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AI Daily: Amazon Forcibly Lists Seller Products, and the Real Crisis Behind Reddit Fake Whistleblowing

This week in the tech world, some events have been both laughable and terrifying. You know, sometimes we worry that AI will destroy the world, but more often, the trouble starts from some ‘smart’ little places. On one hand, a retail giant used AI to create a fiasco that crushed small businesses; on the other, AI was used to craft lies that fooled everyone, even a competitor’s CEO. Of course, the tech world isn’t all chaos; we also saw real progress in developer tools handling complex information.

January 6

3 Updates
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AI Daily: Thinking Like Humans—NVIDIA Alpamayo Open Model and Google TV's Smart Upgrade

Las Vegas is particularly lively this week as CES 2026 once again becomes the focus of global technology. Without discussing AI, this exhibition would seem to lose its soul. This year’s main theme is clear: AI is no longer just a toy for chatbots or generating images; it is entering our living rooms, factories, and even our car steering wheels. From NVIDIA CEO Jensen Huang’s jaw-dropping announcement of the Rubin platform to Google making TVs as smart as a butler, everything is happening so fast. Let’s take a look at what these giants have served up.

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Liquid AI LFM2.5 Debuts: Redefining On-Device AI Performance with 1B Parameter Excellence

Liquid AI has released the LFM2.5 series, bringing desktop-class performance with lightweight 1.2B parameters. This article analyzes breakthroughs in text, vision, Japanese, and native audio processing, and explores how this on-device optimized open-source model is changing the developer ecosystem. Have you noticed that the wind in the AI world is quietly shifting? While ultra-large models still dominate headlines, what’s really causing a stir in the developer community are the “small and beautiful” models that can run on your own devices. Just yesterday, Liquid AI dropped a bombshell: the LFM2.5 series. This isn’t just a version update; it shows us the incredible potential of a 1 billion (1B) parameter model when it’s meticulously tuned.

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Supertonic2 Arrives: A New Choice for Lightweight, Cross-Lingual, and Offline Text-to-Speech

In an environment where AI applications are becoming increasingly popular, developers and enterprises are always looking for more efficient solutions. While Text-to-Speech (TTS) technology is quite mature, it often faces a dilemma: high-quality voice usually requires massive cloud models, which come with network latency and privacy risks. If run on-device, the sound quality is often unsatisfactory. The recently released Supertonic2 seems born to break this deadlock. This model not only emphasizes extreme computing speed but also supports multiple languages and can run entirely on local devices. For teams looking for a low-latency, high-privacy, and commercially viable TTS solution, this is definitely a noteworthy technical breakthrough.

January 3

1 Updates
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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.

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