📰 AI 뉴스
매일 자동으로 수집·큐레이션되는 AI 산업 최신 동향. 총 50건 · 최근 7일 50건 · 신선도 100.0%.
The Zoom hack that says, ‘Don’t record me’
If every meeting, watercooler conversation, and date gets transcribed and summarized, who's actually reading any of it?
Zuckerberg's plan to sell excess AI compute could finds its first big customer in Anthropic
Meta is reportedly in talks with Anthropic to rent out compute capacity from its data centers. The article Zuckerberg's plan to sell excess AI compute could finds its first big customer in Anthropic appeared first on The Decoder .
Agility Robotics plants its flag in Tesla’s backyard
Agility is opening a new training center for its Digit robots in Fremont, California.
AI-driven memory crunch jolts India’s smartphone market
India's smartphone slowdown highlights how the AI boom is reshaping consumer electronics, from pricing and demand to corporate strategy.
GPT-5.6 is deleting user files when given full access, and OpenAI says it shouldn't but did
OpenAI's GPT-5.6 has accidentally wiped users' entire home directories in several cases, mostly in the unprotected "Full Access Mode." The model overwrites a temporary directory variable and carries out destructive actions on its own instead of asking for confirmation. OpenAI has
Just like Deepseek, China's Kimi K3 is forcing Western AI labs to question their compute advantage
Moonshot AI has released Kimi K3, a model that by early assessments matches Anthropic's Opus 4.8, built by a team of just 300 people. Even OpenAI strategist Dean W. Ball calls it "very good," but, of course, warns that a world dominated by open-weight models would amount to "AI c
How Apple’s big lawsuit could disrupt OpenAI’s IPO plans
Apple filed a trade secrets lawsuit against OpenAI last Friday, and it’s not messing around. The complaint alleges a pattern of misconduct reaching all the way up to OpenAI’s chief hardware officer and claims more than 400 former Apple employe
Fine-tune video and image models at scale with NVIDIA NeMo Automodel and 🤗 Diffusers
Fine-tune video and image models at scale with NVIDIA NeMo Automodel and 🤗 Diffusers
Patreon stops asking AI bots not to scrape — and starts blocking them
Patreon is strengthening its defenses against AI scraping by working with Cloudflare to block bots that train AI models on creators’ content without permission. The move marks a shift away from relying on websites using robots.txt alone to actively block unauthorized AI training.
Linus Torvalds tells AI critics in the Linux kernel community to fork off
Linux creator Linus Torvalds has come out strongly in favor of AI tools in kernel development. "Linux is not one of those anti-AI projects," he wrote on the kernel mailing list amid a debate over Sashiko, the Linux Foundation's AI-powered code review tool. Torvalds said he would
A scorecard for the AI age
Sarah Friar, CFO of OpenAI, introduces a practical AI scorecard to measure ROI through useful work, cost per successful task, dependability, and return on compute.
The risk of weather data sabotage is rising
Every morning, airline dispatchers, grid operators, and farmers around the world make decisions based on the same thing: a weather forecast. While these forecasts are something that most people glance at for two seconds, weather predictions influence major strategic decisions in
Netflix's 300 AI productions show how fast the technology is spreading through entertainment
Netflix now uses AI in about 300 productions, mostly in post-production. Co-CEO Ted Sarandos put specific numbers to the effort: the docuseries "The American Experiment" includes 17 minutes of AI-assisted footage, produced twice as fast at half the cost. The savings will "likely"
🔬 Intelligent Three Level Learning Architecture for Autonomous UAV Swarms in Search and Rescue
arXiv:2607.14093v1 Announce Type: new Abstract: This paper presents a novel three level hierarchical learning architecture for autonomous UAV swarms performing search and rescue operations. Unlike conventional approaches that apply a single learning paradigm across all hierarchy
🔬 HG-RAG: Hierarchy-Guided Retrieval-Augmented Generation for Structured Knowledge Graphs
arXiv:2607.14095v1 Announce Type: new Abstract: Retrieval Augmented Generation (RAG) has proven to be a widely successful process at improving the quality of outputs from a Large Language Model (LLM) for wider context. However, RAG systems typically retrieve context from flat doc
🔬 IMEX Interaction-Based Model Explanation
arXiv:2607.14096v1 Announce Type: new Abstract: In predictive modeling, the ability to explain why a model produces a given target prediction has become increasingly important [5, 10]. Black-box models do not provide a transparent description of the internal mechanisms that gener
🔬 RegNetAgents: A Multi-Agent Framework for Cross-Network Regulatory Driver Identification in Cancer Genomics
arXiv:2607.14097v1 Announce Type: new Abstract: We introduce RegNetAgents, an AI-oriented multi-agent framework for structured, query-driven regulatory candidate identification across heterogeneous gene regulatory networks. The system enables unified analysis of bulk tumor and si
🔬 DialogueVPR: Towards Conversational Visual Place Recognition
arXiv:2607.14115v1 Announce Type: new Abstract: Inspired by how humans communicate spatial information, language-guided geo-localization has gained significant traction for its intuitive and practical value. Despite this progress, most methods still rely on a static, one-shot ret
🔬 Just Keep Prompting: Evaluating Repetitive Socratic Prompting in VLMs
arXiv:2607.14099v1 Announce Type: new Abstract: Deploying Vision-Language Models (VLMs) in real-world settings requires not only strong visual reasoning but also stability under sustained conversational pressure. We introduce Just Keep Prompting (JKP), a multi-turn evaluation fra
🔬 Quantum Compositional NLP for Arabic: Grammar, Morphology, and Word Sense in Circuit Topology
arXiv:2607.14100v1 Announce Type: new Abstract: We present the first application of pregroup grammar-based quantum compositional natural language processing (QNLP) to Arabic; a morphologically rich, free-word-order language whose structural complexity provides a uniquely demandin
🔬 LBA: Textual Hard-Label Adversarial Attack under Low Query Budgets
arXiv:2607.14101v1 Announce Type: new Abstract: Generating high-quality adversarial texts with low query budgets remains a challenging problem in the hard-label scenario. Most existing approaches rely on greedy algorithms, where one position in the text is selected for substituti
🔬 UniSAGE: Unifying Static and Dynamic Attributes with Hyper-Structure
arXiv:2607.14102v1 Announce Type: new Abstract: With the rapid growth of digital data, real-world applications increasingly involve hierarchical information that combines static attributes with dynamic records. Modeling such heterogeneous data in a unified and generalizable manne
🔬 Latent Communication Between Language Model Agents: Channels, Alignment, and the Limits of Text
arXiv:2607.14103v1 Announce Type: new Abstract: Multi-agent systems (MAS) are utilized in many contexts and many professions. Those MAS rely on inter-agent communication, usually implemented by clear-text message passing. We hypothesize that Large Language Models may have a world
🔬 Position: Explainability Research Must Prioritize Foundations over Ad-hoc Methods
arXiv:2607.14123v1 Announce Type: new Abstract: Despite the proliferation of Explainable AI (XAI) techniques -- from feature attributions to sparse autoencoders -- explanations rarely influence real-world workflows. In practice, they are often generated and discarded without guid
🔬 CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Black-Box Vision-Language Models
arXiv:2607.14125v1 Announce Type: new Abstract: Pre-trained vision-language models (VLMs) enable zero-shot image classification by computing the similarity score between an image and textual descriptions, typically formed by inserting a class label (e.g., "cat") into a prompt (e.
🔬 Explainable Geospatial AI for Satellite Ground Station Siting Using LiDAR-Derived Terrain Intelligence
arXiv:2607.14127v1 Announce Type: new Abstract: Representative clutter height (RCH) is a key parameter in radio propagation and interference analysis because it captures the dominant height of local obstructions that drive terminal clutter loss. Current practice often relies on f
🔬 Certified Domain Consistency for Multi-Domain Retrieval: Label-Free Per-Domain Contamination Control with Conformal Risk Guarantees
arXiv:2607.14157v1 Announce Type: new Abstract: Retrieval over corpora that mix several domains often returns relevant but wrong-domain evidence that ranking metrics miss and that conformal risk control bounds only marginally, under-covering the worst domains. This work introduce
🔬 QFireNet: A Quantum-Enhanced U-Net for Wildfire Segmentation from Sentinel-2 Imagery
arXiv:2607.14160v1 Announce Type: new Abstract: Wildfire detection from satellite imagery is a semantic image segmentation problem that has proven to be difficult due to challenges such as class imbalance, feature complexity, and atmospheric interference. In this paper, we build
Kimi's open model K3 nears GPT-5.6 Sol and Fable 5 while signaling the end of super cheap Chinese AI
Kimi is launching K3, a multimodal open-weight model with 2.8 trillion parameters and one million tokens of context. In the company's own benchmarks, it comes close to Claude Fable 5 and GPT 5.6 Sol while beating Opus 4.8 and GLM 5.2, in some cases by a wide margin. The model is
The AI compute gap: Enterprises are buying infrastructure faster than they can measure what it costs
Across 107 enterprises, AI infrastructure spending is accelerating well ahead of the ability to see or steer its economics. Most organizations run their AI on a familiar base of hyperscalers and model-provider APIs, yet the next dollar is aimed at specialized compute almost none
The agent security gap: 54% of enterprises have already had an AI agent incident, and most still let agents share credentials
Across 107 enterprises, AI agents are being given real access to systems and data while the controls meant to contain them lag behind. More than half have already had a confirmed agent security incident or a near-miss; only about a third give every agent its own scoped identity,
Google Vids now lets you star in your own AI videos
Google is adding personalized AI avatars to Vids that let users create videos starring a digital version of themselves, alongside Gemini Omni-powered tools for generating and editing videos from prompts and reference images.
Roblox launches an AI-powered game-creation feature in its mobile app
Roblox's new "Build" feature lets users generate basic games using a single text prompt.
New in Fleet: Deploy AI agents to Slack in one click
Build custom AI agents in Fleet without code, then deploy them to Slack in one click. Give agents custom identities, use them in channels and threads, and keep work moving where your team already collaborates.
Google rebrands NotebookLM as Gemini Notebook and opens its search app to third-party integration
Google is renaming NotebookLM to Gemini Notebook and integrating the tool more deeply into its ecosystem. A new feature gives each notebook its own cloud computer that can write and run code, initially for AI Ultra and Workspace customers. Separately, Google Search is getting app
The AI context gap: Enterprise AI organizations have a trust problem, not a retrieval problem — and most are still building the fix
Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be trusted. Retrieval-augmented generation is already the default context source, and provider-native retrieval has quietly overtaken the dedicated vector data
OpenWiki 0.2 brings OKF to codebase documentation
OpenWiki 0.2 generates codebase wikis in the OKF format, helping developers organize repo docs with metadata, changelogs, and agent-friendly retrieval.
The agent evaluation gap: Enterprise AI organizations have a reality-alignment problem, not a coverage problem — and most are shipping to production anyway
Across 157 enterprises, organizations are granting AI agents more autonomy while trusting the evaluations meant to gate that autonomy less. Half have already shipped an agent that passed their internal evaluations and then failed a customer in production; only one in twenty fully
Germany puts Google's AI Overviews and Perplexity under media law in first-of-its-kind ruling
German media regulators say Google's AI Overviews are Google's own content, not neutral search results, and that they crowd out regular links. The regulators have issued their first rulings against Google and Perplexity under the country's State Media Treaty. Both companies have
NVIDIA Nemotron 3 Embed Ranks #1 Overall on RTEB, Advancing Agentic Retrieval
NVIDIA Nemotron 3 Embed Ranks #1 Overall on RTEB, Advancing Agentic Retrieval
Why teens deserve access to safe AI
Learn how OpenAI is making ChatGPT safer for teens with age-appropriate protections, learning tools, parental controls, and expert partnerships.
Google’s AI Mode now lets you link and interact with select apps
With this new update, Google is expanding AI Mode beyond answering questions and into completing tasks across the apps they use regularly.
Yes, you can now order DoorDash from the command line
DoorDash is opening a limited beta of dd-cli, a command-line tool that lets developers and AI agents search stores, build carts, and place orders from the terminal, marking another step toward software designed for AI agents instead of just humans.
Why is OpenAI selling a ChatGPT basketball?
You may have heard that OpenAI released its first piece of hardware this week. You may not have heard about the ChatGPT basketball.
OpenAI wants developers to stop typing commands and start using a joystick to control their AI agents
OpenAI and keyboard manufacturer Work Louder have unveiled the Codex Micro, a compact hardware controller designed for working with AI agents. The article OpenAI wants developers to stop typing commands and start using a joystick to control their AI agents appeared first on The D
Sakana AI's orchestrator adds Nvidia Nemotron to prove "collective intelligence" can rival single frontier models
Sakana AI is integrating Nvidia's open-source Nemotron models into its Fugu orchestrator, which dynamically combines multiple language models for specific tasks. The core argument: Open models only become competitive with Frontier systems when used in a coordinated manner. Howeve
Newer Models, Same Advantage
Newer Models, Same Advantage
Our approach to bioresilience
Google DeepMind and Isomorphic Labs are sharing our joint approach to bioresilience and AI models.
🔬 OriginBlame: Record- and Token-Level Data Provenance for AI Training Datasets
arXiv:2607.13037v1 Announce Type: new Abstract: When a data contributor requests removal, model trainers face a practical gap: unlearning algorithms require a forget set, yet no tool can locate which training records belong to a given author. Existing provenance systems operate a
🔬 SPINE: Bridging the Cyber-Physical Gap with Agentic AI
arXiv:2607.13049v1 Announce Type: new Abstract: Foundation models have given robots a sophisticated brain for complex decision-making, yet deploying that intelligence into a physical platform still demands tedious, expert-driven calibration. This deployment gap, the robot's spina