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Today

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AI Daily: OpenAI Launches Age Prediction, Sam Altman and Elon Musk Clash Over Safety

OpenAI has officially launched an age prediction model for the consumer version of ChatGPT, aiming to provide a safer digital environment for teens. This move coincides with Elon Musk’s severe allegations against ChatGPT’s safety, triggering a sharp counter-response from Sam Altman regarding Tesla Autopilot accidents. Meanwhile, Claude Code has officially arrived on VS Code, Sam Altman confirmed the existence of GPT-5.3, and X open-sourced its core recommendation algorithm. This week in AI is filled with technical breakthroughs and clashes of ideals among tech giants.

#daily
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Yesterday

1 Updates
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AI Daily: AI's Dual Evolution: From Stable 'Personality' to Business Value Flywheel

As AI technology advances, we are witnessing two distinct yet closely related development directions. On one hand, researchers are working to stabilize AI’s ‘personality’ to prevent loss of control in conversations; on the other hand, the business model flywheel is spinning fast, transforming computing power into astonishing economic value. This is not just a stack of technologies, but an exploration of how to make machines more human-like while making business more efficient.

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January 17

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AI Daily: 2026 New Landscape: ChatGPT Go Global Launch & Ads Test, Claude Cowork Update

2026 AI New Landscape: ChatGPT Go Global Launch & Ads Test, Claude Cowork Update OpenAI has officially launched the $8/month ChatGPT Go subscription globally and announced upcoming ad tests in the US to support its vision of widespread access. Meanwhile, competitor Anthropic has released improvements to Claude Cowork for Pro users. This article delves into the impact of these changes on users, privacy concerns, and strategies for choosing AI tools.

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January 16

4 Updates
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AI Daily: Google Redefines Open Source Translation with TranslateGemma, FLUX.2 [klein] Brings Image Generation to Millisecond Speed

Today has been another busy day in the tech world, with two major model families releasing significant updates simultaneously. Google released TranslateGemma designed to break down language barriers, while Black Forest Labs proved with FLUX.2 [klein] that high-quality image generation can be incredibly fast. Meanwhile, Anthropic released its early 2026 economic index report, providing an in-depth analysis of how we are actually using AI. This article will take you through how these technologies are changing the way we work and create.

#daily
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tool •

FLUX.2 [klein] Arrives: Extreme Speed Experience and New Standards for Real-Time Image Generation

Black Forest Labs’ latest FLUX.2 [klein] model family redefines the barrier to AI image creation with its amazing generation speed and low hardware requirements. This article delves into this powerful tool capable of running smoothly on consumer GPUs and generating images in under 0.5 seconds, and explores its practical implications for developers and creators. Creativity Without Waiting: Realizing Instant Visual Intelligence Imagine this scenario: when inspiration strikes, the image in your mind needs to appear on the screen instantly, instead of staring at a progress bar. In the past, high-definition AI image generation often took seconds or even longer, which would interrupt the continuity of thought in a time-critical creative process. Black Forest Labs’ newly released FLUX.2 [klein] was born to solve this pain point.

#image
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tool •

Google Launches TranslateGemma: Detailed Explanation of High-Performance Open Source Translation Model Based on Gemma 3

Google officially released TranslateGemma in January 2026, a brand-new open-source translation model series built on the Gemma 3 architecture. This article details how it achieves high-quality translation surpassing its predecessor while maintaining lightweight through three parameter sizes of 4B, 12B, and 27B, and delves into its unique training techniques and multimodal capabilities. For developers and language researchers, January 15, 2026, is a noteworthy date. On this day, Google officially introduced TranslateGemma to the public. This is not just another ordinary language model update, but a set of open-source translation models born specifically to break down language barriers. It is built on the powerful Gemma 3 architecture. What does this mean? Simply put, this model suite ensures that high-quality translation is no longer the patent of big companies. Whether users are located anywhere, using high-end servers or ordinary mobile phones, they can enjoy a smooth cross-language communication experience.

#translate
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tool •

StepFun Step-Audio-R1.1 Arrives: The New Voice Reasoning Champion Surpassing GPT-4o and Gemini

In the voice AI arena, everyone is used to staring at OpenAI or Google’s latest moves, expecting them to serve up the next world-shaking product. But recently, an open-weight model quietly climbed to the top of the charts, putting many tech giants to shame. This model, named Step-Audio-R1.1, developed by StepFun, not only set a new record in voice reasoning capabilities but also demonstrated amazing strength in the fluency of real-time interaction.

#llm
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January 15

2 Updates
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AI Daily: Gemini Integrates Your Ecosystem, Manus Builds Cloud VMs

The AI world has been buzzing lately, as if virtual assistants have suddenly had an epiphany. Google has finally enabled Gemini to access your emails and photos, making search more personal rather than just a cold database query. Meanwhile, Manus is not backing down, introducing a complete cloud sandbox system that allows AI to not just talk, but actually write code. Of course, OpenAI has also quietly launched a dedicated translation tool.

#daily
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tool •

Soprano TTS Major Update: Training Code Released, Customizing Lightweight Voice Models Made Easier

Soprano TTS has released the training code Soprano-Factory and encoder. This ultra-lightweight model supports 15ms low-latency streaming and now allows developers to train custom voices using their own data, exploring more possibilities for edge computing voice generation. For developers who have been following voice generation technology, this is a moment worth noting. Over the past three weeks, Soprano project developer Eugene has been working intensively on community feedback and has brought a series of exciting updates. If you are interested in achieving high-quality voice synthesis on-device, or have been waiting for the opportunity to train such models yourself, then this release is undoubtedly good news.

#voice
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January 14

3 Updates
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AI Daily: AI Tool Evolution - From Medical Imaging to Precision Marketing Data Integration

Google Veo 3.1 significantly improves video generation consistency and vertical format support, Manus partners with Similarweb to integrate real market data, plus MedGemma 1.5 breakthroughs in medical imaging and speech recognition, and the open-source GLM-Image’s text rendering capabilities, showing AI moving from simple content generation to precise professional applications. Google Veo 3.1: Consistent Characters and Vertical Video Support For creators, the biggest headache with AI video generation is often not image quality, but “inconsistency.” The protagonist wearing red in one second might turn blue in the next, or the background might suddenly shift. This “flickering” has been a major flaw in AI videos. Google DeepMind has addressed this in the latest Veo 3.1 update.

#daily
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tool •

GLM-Image: The New Leader in Open Source Image Generation, Solving Text Rendering Challenges

Have you noticed that while AI image generation quality is getting higher, it often makes jokes when dealing with “logic” and “text”? You might have encountered this: you want to generate a poster with a specific slogan, and the AI gives you a bunch of alien-like gibberish. Or, you describe a complex scene, asking for a cat on the left, a dog on the right, and a giraffe holding a book in the middle, but the AI completely mixes up the positions. This is actually a pain point of current mainstream Diffusion Models.

#image
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tool •

NovaSR: The 52KB AI Audio Tool Delivering 3600x Speed Upscaling

In an environment where disk space is measured in TBs and AI models are tens of GBs, you might think “bigger” means “better.” Everyone is chasing the ultimate parameter count, as if you can’t call yourself AI without billions of parameters. But sometimes, truly amazing technical breakthroughs happen in the microscopic world. Recently, a project named NovaSR appeared in the open-source community, completely overturning perceptions of audio processing models. This isn’t a behemoth, but an incredibly small audio Super-Resolution model. It is only 52KB. Yes, you read that right, in KB. This is even smaller than the plain text file of this article, yet it can instantly upscale blurry 16kHz audio to clear 48kHz.

#voice
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January 13

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”.

#daily
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tool •

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.

#translate
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January 12

1 Updates
tool •

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.

#video
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January 9

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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.

#daily
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tool •

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.

#asr #keep
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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”.

#daily
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tool •

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.

#summary
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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.

#daily
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January 6

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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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tool •

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.

#llm
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tool •

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.

#voice
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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.

#daily
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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.

#daily
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December 26

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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.

#daily
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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.

#daily
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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.

#daily
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tool •

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.

#llm
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