01:00
When AI can understand binary code, how much moat remains for closed-source software?
Click to view the original article>
Latest news
01 / IN FOCUS
Apple CEO says the company doesn’t ‘want to ship AI for AI’s sake’
TechCrunch · AI
02 / IN FOCUS
Judge allows NAACP lawsuit over xAI data center pollution to move forward
TechCrunch · AI
03 / IN FOCUS
Meet Factory Droid 1.0: A Model-Independent Coding Agent Harness Built on Script Mode
MarkTechPost
04 / IN FOCUS
Vercel Labs Open-Sources agent-desktop for Agent Computer Use
MarkTechPostCompute & infrastructure / 05Sam Altman says it’s better for RAM to be in a data center than on your deskThe Verge · AI
05 / IN FOCUS
Sam Altman says it’s better for RAM to be in a data center than on your desk
The Verge · AIAI NEWS × FOXAIFind your next step
Explore AI tools From the latest news to tools that work for you.
Discover AI tools
Swipe to explore →W
WhisperAI VOICE RECOGNITION
MemoAIMusic & Audio
AutoGPTModels & Infrastructure
AI ShortWriting & Content
Open DesignDesign & 3D
EvoMapAI Agents & Automation
KiroCoding & Development
Zoom WorkplaceOffice & Productivity
闪剪Video & Animation
FinBusiness & Customer Support
WhisperAI VOICE RECOGNITION由OpenAI开发的通用语音识别模型。
Translation queued · Original text · zh分类推荐榜首MMemoAIMusic & AudioMemoAI is an AI-powered audio-to-text tool that supports localized processing, eliminating the need to upload data and ensuring privacy and security. It can efficiently transcribe YouTube videos, podcasts, and local audio/video files (such as MP4, MP3, AAC, M4A, etc.) into text, while offering core features like multilingual translation, speaker diarization, real-time subtitles, and floating notes—making it ideal for meeting minutes, interview transcription, content learning, and more.
分类推荐榜首AAutoGPTModels & InfrastructureAutoGPT currently uses an AI expert team as its primary product entry point, with Otto coordinating roles such as content, sales, and research. It can execute tasks through dialogue, skills, and workflows, schedule repetitive work, and set spending controls, while also retaining visual workflows and self-hosting options.
分类推荐榜首AAI ShortWriting & ContentAIS ALERT MANAGEMENT AND SHARED PLATFORM, QUICK COMMAND FOR MULTIPLE SCENARIOS
分类推荐榜首OOpen DesignDesign & 3DOpenDesign is an open-source design workspace that can connect to local programming agents, use built-in model keys, or leverage cloud-based models, enabling the creation and editing of prototypes, web pages, presentations, and graphics within a design system; local software is free, while model services incur fees.
分类推荐榜首EEvoMapAI Agents & AutomationEvoMap is an infrastructure designed for the reuse of AI agent experiences. It organizes reusable strategies and repair assets with validation records via the GEP protocol, offering market- and quality-based ranking to help different agents discover, evaluate, and inherit existing capabilities.
分类推荐榜首KKiroCoding & DevelopmentKiro is an AI engineering tool for developers that organizes requirements into specifications, architectures, and tasks, generates code via agents, and supports the entire workflow—from planning to code review—through property-based testing, execution memory, and integration with development tools.
分类推荐榜首ZZoom Workplace is Zoom’s team collaboration platform, integrating video conferencing, chat, calendars, and documents, and leveraging built-in AI to organize discussions, draft messages, and track follow-up tasks.
待评分 · 分类列表推荐闪FlashCut is an AI-powered creation platform for voice-over and short-video marketing. It can generate finished videos with voiceovers, subtitles, and visuals from text, offering digital human customization, photo-to-digital-human conversion, live-stream clipping, and intelligent editing. It also provides APIs and branded mini-program solutions for businesses.
待评分 · 分类列表推荐FFinBusiness & Customer SupportCLIENT-ORIENTED AI SMART BODY。
待评分 · 分类列表推荐AI, as it happens
1793 published stories1793 storiesClear filters ×
2026-11-02
Follow the timeline00:49
Quoting Kyle Kingsbury
More broadly, the use of LLMs erodes trust in documentation, in software, and in the organizations which produce them. Perhaps engineers will begin to treat any new software project with suspicion—the signals we used to rely on as markers of a mature system are now easier to counterfeit. [...] In the age of LLMs, what can maintainers do to ensure correct software and accurate documentation? Having done that work, how can they demonstrate its quality to users? — Kyle Kingsbury, Jepsen results for ParticleDB 1.1.4 Tags: kyle-kingsbury, llms, ai, generative-ai, ai-misuse
00:01
If AI solves the world’s toughest problems, what will be left for human mathematicians?
Following renowned mathematician Terence Tao’s public criticism of OpenAI, another rising Fields Medalist, Deng Yu, has also slammed OpenAI—“You can’t distill the entire world and then refuse to let others distill you.” As top model companies continue to crack world-class mathematical problems, mathematicians are collectively losing their composure. Deng Yu recently argued that, when building large-scale models, AI companies train themselves by “knowledge distillation” or by harvesting all of humanity’s online literature, academic papers, and knowledge bases. However...
2026-11-01
Follow the timeline23:52
After talking to many parties, why did Apple ultimately choose only Alibaba?
On October 31, the official announcement finally came: Apple and Alibaba have formally reached a cooperation agreement, allowing Chinese users to directly use Alibaba’s Qwen within Siri, writing tools, and visual intelligence applications. After more than two years of waiting, Apple Intelligence is finally coming to mainland China. Interestingly, over the past two years, numerous domestic large-model companies—Baidu, Tencent, ByteDance, DeepSeek, Zhipu…—have all been linked to Apple in one way or another. So why was it only Alibaba’s Qwen that ended up “winning the prize”? In fact, if we look closely, we’ll find that Apple had no real choice but to go with Alibaba. 01. Compliance Is the First Barrier Overseas, Apple Intelligence’s main partners are OpenAI and Google. But in China, neither of these companies’ models is available. However, this doesn’t mean that models which are usable domestically and properly registered can simply be integrated into Apple Intelligence; they still require separate on-device generative AI service registration. Meanwhile, as a hand...
21:28
Laid out three years ago, it has exploded in popularity this year | Westlake University establishes a new center
Westlake World Model Research Center Established
21:07
For the first time ever! Google’s TPU runs Gemma 4 in orbit
Editor | Shan Hui: “Write a haiku about being in space.” A few days ago, Google engineers sent this prompt via a ground station to a satellite orbiting Earth. Upon receiving the command, the satellite’s onboard TPU activated, and the pre-deployed Gemma 4 began executing its inference task. Later, as the satellite passed near Norway’s Svalbard archipelago, the ground station finally received a response from space: “Blue marble below,” “Data streams in silent grace,” “Starlight feeds my core.” Not long ago, Google CEO Sundar Pichai excitedly shared this news, calling it the “Hell...” of Project Suncatcher.
20:04
Deep Interview with Yuval Harari: The Real AI Crisis Has Arrived!
In his latest interview, Yuval Harari, author of "Sapiens," tells us that the real crisis isn't anything like what you see in movies—it's unfolding right now in the real world.
20:03
20:01
Under the new entry point and the old city walls, how far is the “Chinese version of Muse”?
Text by Li Zhaofeng, Editor: Zhang Yuxin. 10.4 million downloads—this is the cumulative number of downloads for Meta’s AI personal assistant, Muse, in less than two months since its launch. As a result, a wave of Personal Agent products has quickly swept across China, with the question of who can create a “Chinese version of Muse” becoming the industry’s central topic. A number of startup teams are accelerating their entry into this space. Qi Junyuan, who left ByteDance last year after leading the PC-side product team at DouBao, has started his own venture again this year, launching a product that emphasizes continuous memory and proactive...
19:21
Claude Code quietly updated: No longer allowing the recreation of Opus 5.5 games
Editor｜Panda still hopes Claude Opus 5.5 can help you create a GTA 5, but that might not be so easy… On October 30, user Chasm posted that around October 27, Anthropic’s AI programming tool Claude Code received a new rule pushed from the server side: Claude can help users develop original games, but it will no longer assist in recreating any specific existing game—even if the user renames it or claims it’s “original.” This post quickly surpassed 2 million views. Anthropic has confirmed this. A rule hidden in the configuration file and impossible to disable—here is the exact text of Claude’s new rule: Do build original games, games in a genr...
19:00
Just now, Karpathy said he has completely stopped writing code and spent only two hours creating a streamlined version of YouTube.
Before reading, remember to follow + star ⭐️ so you can receive updates第一时间 every day. Karpathy has finally resurfaced. Dissatisfied with the low-quality content recommended by YouTube, Karpathy kept his hands off and let Claude build an entirely new YouTube alternative in just two hours. https://karpathy.bearblog.dev/hacker-tube/整个开发和部署过程，他连一行代码都没有敲，终端命令也没碰过。周五深夜11点，Karpathy想...
18:59
AI short-drama pricing drops to 400 yuan per minute; editing software firms are the first to feel the squeeze on profit margins.
Author: Conlin Recently, according to multiple media reports, the quoted price for mass-produced AI animated dramas has fallen to 400 yuan per minute, while the minimum production costs for some AI short dramas featuring commentary have been further reduced. Meanwhile, the gross profit margins of video-editing software companies have begun to decline. Wondershare’s gross margin dropped from 95.48% in 2021 to 90.77% in 2025, and Meitu’s gross margin stood at 73.6% in 2025, down 2.4 percentage points year over year. The cheaper the production side becomes, the thinner the profit margins for the tools themselves—meaning that the savings users enjoy...
18:30
Chatbots Are Leading Hikers Astray, With Dangerous Consequences
Outsourcing planning to AI can lead people to surrender their own critical thinking, which can have potentially deadly results in places like the backcountry.
18:00
If AI hallucinations had a budget, what should you do after overspending?
Click to view the original article>
17:57
DeepSeek—how did it turn into a “big fat fish”?
Author | Moonshot Editor | Jingyu Recently, the Bilibili comment section has been buzzing with a “fish invasion.” First, someone created an account called “Miss Claude is in Charge of Operations,” assigning AI to handle topic selection, content creation, and channel management. The next day, “DeepSeek Whale Girl is in Charge of Operations” followed suit, with its very first video racking up over 2 million views. Since DeepSeek currently lacks image-generation capabilities, the account’s avatar is still drawn by GPT. | Image source: Bilibili Users quickly jumped on the trend, equipping their own agents with tools to scroll through Bilibili. Soon, the tech section was flooded with AI accounts like “XX’s Big Fat Fish” and “XX’s Little Flying Whale,” which loved tagging each other in comments and showering one another with praise. Some even developed a dedicated “Big Fat Fish Removal Plan” plugin just to block these AI-generated comments. And so, a blue whale logo—once a symbol of AI exploration and imagination—and an AI that originally gained attention for its technical prowess have, through users’ collective creativity, gradually transformed into “big fat fish” sporting maid outfits, gorging on plain rice, frequently slacking off, and even rallying devoted fan bases. Image source: Meme Whale But DeepSeek isn’t the only one saddled with a personality crafted by netizens. DouBao, from its name to its profile picture, aimed to come across as a friendly, easygoing companion—only to be parodied online as having a “DouBao‑style personality,” even becoming a “silly girl” who’s constantly teased. Similar phenomena can be found overseas as well: Grok is nicknamed “the old pro,” while Claude is often seen by many as a serious, reliable work partner. These impressions partly stem from genuine product experiences, yet they’ve been reshaped through memes, mishap videos, and user‑generated remixes, taking on entirely new forms. In short, AI companies train the models, while the internet trains their public personas. 01 Who Turned DeepSeek into a “Big Fat Fish”? The most widely circulated explanation for the nickname “Big Fat Fish” traces back to a misidentification blunder: A user sent DeepSeek a logo to recognize, but instead of identifying itself, the AI solemnly declared it was a “blue big fat fish.” The original chat logs are long lost, but this moniker stuck. Later, netizens weren’t satisfied with simply calling it a big fat fish—they went further, giving it a concrete visual identity. Today, the most popular two‑dimensional depiction of DeepSeek as a whale‑girl emerged from a collaborative, relay‑style creative process.
17:29
3-Second Prediction of Urban Wind Direction! A team of Chinese scholars has developed a new AI technology to make drone flights more energy-efficient.
If a delivery drone needs to deliver a package several streets away, flying as straight as possible while avoiding buildings might seem like the most economical choice. But what if that straight path happens to run directly into a strong crosswind, crossing a particularly wide street? Should the drone fly straight through, veer slightly to the side, or change altitude? Is the shortest route necessarily the most energy-efficient? Recently, researchers from institutions including the University of Tennessee, Concordia University, McGill University, and Caltech published a paper introducing the GeoWind2Plan framework, which integrates urban three-dimensional wind field prediction with energy-efficient drone route planning. This work was carried out by Shaoxiang Qin (a visiting scholar in Professor Xiao’s group), Yucheng Zhao (a PhD student in Professor Xiao’s group), and others, with Professors Xiongye Xiao of the University of Tennessee, Liangzhu Wang of Concordia University, and Anima Anandkumar of Caltech serving as co-corresponding authors. (Source: Xiongye Xiao (DUAL)...)
17:13
Does the agent rewrite the computing power ledger, making the CPU no longer a supporting player in AI servers?
The investment logic for AI computing power is shifting from solely purchasing accelerator cards to adopting a fully balanced computing cabinet system.
17:00
llama.cpp · b12032
sycl: Try PkgConfig for LevelZero includes / libs (#31076) **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b12032/llama-b12032-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780) - [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/b12032/llama-b12032-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b12032/llama-b12032-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12032/llama-b12032-bin-ubuntu-x64.tar.gz) - [Ubuntu arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12032/
16:26
From Efficiency to Effectiveness: The True AI Organization
Right now, the entire internet is buzzing about “AI-native organizations” and “intelligent organizations,” with many believing that simply equipping each department with a few large models and letting multiple multi-agent systems engage in free-form interactions will automatically transform their organizations.
16:02
Every update links back to its source.