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    <title>모두의 AI - AI 뉴스</title>
    <link>https://modu-ai-hub.vercel.app/</link>
    <description>전 세계 AI 모델·툴·인물 정보를 매일 갱신하는 한국어 허브</description>
    <language>ko</language>
    <lastBuildDate>Fri, 10 Jul 2026 12:41:12 GMT</lastBuildDate>
    <item>
      <title><![CDATA[Bun ditches Zig for Rust with help from Claude Fable 5, writes over a million lines of code in 11 days]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-10-aHR0cHM6Ly90</link>
      <guid isPermaLink="false">2026-07-10-aHR0cHM6Ly90</guid>
      <pubDate>Fri, 10 Jul 2026 11:09:44 GMT</pubDate>
      <category>company-news</category>
      <source url="https://the-decoder.com/bun-ditches-zig-for-rust-with-help-from-claude-fable-5-writes-over-a-million-lines-of-code-in-11-days/">The Decoder</source>
      <description><![CDATA[The JavaScript tool Bun has been fully rewritten from Zig to Rust, and Anthropic's Fable 5 did most of the work. The article Bun ditches Zig for Rust with help from Claude Fable 5, writes over a million lines of code in 11 days appeared first on The Decoder .]]></description>
    </item>
    <item>
      <title><![CDATA[How Deutsche Telekom is rewiring telecommunications with AI]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-10-aHR0cHM6Ly9v</link>
      <guid isPermaLink="false">2026-07-10-aHR0cHM6Ly9v</guid>
      <pubDate>Fri, 10 Jul 2026 07:00:00 GMT</pubDate>
      <category>model-release</category>
      <source url="https://openai.com/index/deutsche-telekom">OpenAI Blog</source>
      <description><![CDATA[How Deutsche Telekom is becoming an AI-native telco with OpenAI-transforming customer service, employee workflows, network operations, and the future of voice.]]></description>
    </item>
    <item>
      <title><![CDATA[Context Graphs for Proactive Enterprise Agents]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-10-b2FpOmFyWGl2</link>
      <guid isPermaLink="false">2026-07-10-b2FpOmFyWGl2</guid>
      <pubDate>Fri, 10 Jul 2026 04:00:00 GMT</pubDate>
      <category>research</category>
      <source url="https://arxiv.org/abs/2607.07721">arXiv cs.AI</source>
      <description><![CDATA[arXiv:2607.07721v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) and agentic frameworks have advanced enterprise AI considerably, yet agents remain fundamentally reactive: they wait for a human query before acting. This paper argues that genuine enterprise pro]]></description>
    </item>
    <item>
      <title><![CDATA[AI-integrated models for assessing agricultural resilience]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-10-b2FpOmFyWGl2</link>
      <guid isPermaLink="false">2026-07-10-b2FpOmFyWGl2</guid>
      <pubDate>Fri, 10 Jul 2026 04:00:00 GMT</pubDate>
      <category>research</category>
      <source url="https://arxiv.org/abs/2607.07759">arXiv cs.AI</source>
      <description><![CDATA[arXiv:2607.07759v1 Announce Type: new Abstract: Agricultural supply chains are vulnerable to disruptions through linked biophysical and economic systems. We develop an AI-powered tool that integrates economic models (GTAP) with biophysical models (APSIM) to analyze supply chain s]]></description>
    </item>
    <item>
      <title><![CDATA[Adversarial Social Epistemology for Assemblies of Humans and Large Language Models]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-10-b2FpOmFyWGl2</link>
      <guid isPermaLink="false">2026-07-10-b2FpOmFyWGl2</guid>
      <pubDate>Fri, 10 Jul 2026 04:00:00 GMT</pubDate>
      <category>research</category>
      <source url="https://arxiv.org/abs/2607.07760">arXiv cs.AI</source>
      <description><![CDATA[arXiv:2607.07760v1 Announce Type: new Abstract: We outline an adversarial social epistemology (ASE) for densely interactive communicative landscapes in which public assertions are scaffolded by chains of testimony, inference, institutional certification, and tacit trust. In such ]]></description>
    </item>
    <item>
      <title><![CDATA[Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-10-b2FpOmFyWGl2</link>
      <guid isPermaLink="false">2026-07-10-b2FpOmFyWGl2</guid>
      <pubDate>Fri, 10 Jul 2026 04:00:00 GMT</pubDate>
      <category>research</category>
      <source url="https://arxiv.org/abs/2607.07761">arXiv cs.AI</source>
      <description><![CDATA[arXiv:2607.07761v1 Announce Type: new Abstract: Large language models (LLMs) have emerged as important tools in healthcare, showing growing potential for clinical reasoning and patient care. This survey examines recent progress in medical LLMs, focusing on reasoning applications ]]></description>
    </item>
    <item>
      <title><![CDATA[Alignment Plausibility: A New Standard for Assuring AI in Healthcare]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-10-b2FpOmFyWGl2</link>
      <guid isPermaLink="false">2026-07-10-b2FpOmFyWGl2</guid>
      <pubDate>Fri, 10 Jul 2026 04:00:00 GMT</pubDate>
      <category>research</category>
      <source url="https://arxiv.org/abs/2607.07766">arXiv cs.AI</source>
      <description><![CDATA[arXiv:2607.07766v1 Announce Type: new Abstract: Large language models (LLMs) have become significant providers of mental health support, yet they remain products of an attention economy whose operational and commercial targets favour sustained engagement over the friction that ef]]></description>
    </item>
    <item>
      <title><![CDATA[OpenAI says GPT 5.6 is the &#8216;preferred model&#8217; for Microsoft Copilot 365 amid breakup chatter]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-10-aHR0cHM6Ly90</link>
      <guid isPermaLink="false">2026-07-10-aHR0cHM6Ly90</guid>
      <pubDate>Fri, 10 Jul 2026 00:16:54 GMT</pubDate>
      <category>company-news</category>
      <source url="https://techcrunch.com/2026/07/09/openai-says-gpt-5-6-is-the-preferred-model-for-microsoft-copilot-amid-breakup-chatter/">TechCrunch AI</source>
      <description><![CDATA[OpenAI's new family of models will continue to power Microsoft's suite of workplace and productivity apps.]]></description>
    </item>
    <item>
      <title><![CDATA[Profiling in PyTorch (Part 3): Attention is all you profile]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-10-aHR0cHM6Ly9o</link>
      <guid isPermaLink="false">2026-07-10-aHR0cHM6Ly9o</guid>
      <pubDate>Fri, 10 Jul 2026 00:00:00 GMT</pubDate>
      <category>open-source</category>
      <source url="https://huggingface.co/blog/torch-attention-profile">HuggingFace Blog</source>
      <description><![CDATA[Profiling in PyTorch (Part 3): Attention is all you profile]]></description>
    </item>
    <item>
      <title><![CDATA[Fidji Simo steps down from OpenAI&#8217;s no. 2 role]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-09-aHR0cHM6Ly90</link>
      <guid isPermaLink="false">2026-07-09-aHR0cHM6Ly90</guid>
      <pubDate>Thu, 09 Jul 2026 23:38:00 GMT</pubDate>
      <category>company-news</category>
      <source url="https://techcrunch.com/2026/07/09/fidji-simo-steps-down-from-openais-no-2-role/">TechCrunch AI</source>
      <description><![CDATA[OpenAI's No. 2 executive, Fidji Simo, is stepping down from her full-time role after her medical leave proved longer than expected — a leadership vacuum that comes at a tricky time as the company eyes a possible IPO and races to catch Anthropic in the enterprise market.]]></description>
    </item>
    <item>
      <title><![CDATA[OpenAI launches its new family of models with GPT-5.6]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-09-aHR0cHM6Ly90</link>
      <guid isPermaLink="false">2026-07-09-aHR0cHM6Ly90</guid>
      <pubDate>Thu, 09 Jul 2026 22:24:24 GMT</pubDate>
      <category>company-news</category>
      <source url="https://techcrunch.com/2026/07/09/openai-launches-its-new-family-of-models-with-gpt-5-6/">TechCrunch AI</source>
      <description><![CDATA[OpenAI's latest family of models promises improvements across a range of areas, including cybersecurity.]]></description>
    </item>
    <item>
      <title><![CDATA[An AI agent startup just let its agent run its $100M fundraise]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-09-aHR0cHM6Ly90</link>
      <guid isPermaLink="false">2026-07-09-aHR0cHM6Ly90</guid>
      <pubDate>Thu, 09 Jul 2026 22:08:58 GMT</pubDate>
      <category>company-news</category>
      <source url="https://techcrunch.com/2026/07/09/an-ai-agent-startup-just-let-its-agent-run-its-100-million-fundraise/">TechCrunch AI</source>
      <description><![CDATA[Lyzr, a startup that builds AI agents for enterprises, used its own AI agent to raise a $100 million round — proof, evidently, that the product actually works.]]></description>
    </item>
    <item>
      <title><![CDATA[OpenAI is shutting down Atlas, but its AI browser ambitions are still growing]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-09-aHR0cHM6Ly90</link>
      <guid isPermaLink="false">2026-07-09-aHR0cHM6Ly90</guid>
      <pubDate>Thu, 09 Jul 2026 22:03:54 GMT</pubDate>
      <category>company-news</category>
      <source url="https://techcrunch.com/2026/07/09/openai-is-shutting-down-atlas-but-its-ai-browser-ambitions-are-still-growing/">TechCrunch AI</source>
      <description><![CDATA[OpenAI is sunsetting its AI-powered browser after less than a year. But it's moving some agentic browsing features to its desktop app and a Chrome extension.]]></description>
    </item>
    <item>
      <title><![CDATA[Anthropic found a hidden space where Claude puzzles over concepts]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-09-aHR0cHM6Ly93</link>
      <guid isPermaLink="false">2026-07-09-aHR0cHM6Ly93</guid>
      <pubDate>Thu, 09 Jul 2026 20:22:28 GMT</pubDate>
      <category>research</category>
      <source url="https://www.technologyreview.com/2026/07/09/1140293/anthropic-found-a-hidden-space-where-claude-puzzles-over-concepts/">MIT Tech Review AI</source>
      <description><![CDATA[The AI firm Anthropic has developed a technique that has given it the clearest glimpse yet at what’s really going on inside large language models as they answer questions or carry out tasks. What they found ranges from the mundane to the unnerving. Researchers at the company buil]]></description>
    </item>
    <item>
      <title><![CDATA[GPT-5.6 Sol nearly matches Fable 5 on aggregated benchmarks at one-third the cost]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-09-aHR0cHM6Ly90</link>
      <guid isPermaLink="false">2026-07-09-aHR0cHM6Ly90</guid>
      <pubDate>Thu, 09 Jul 2026 18:37:51 GMT</pubDate>
      <category>company-news</category>
      <source url="https://the-decoder.com/gpt-5-6-sol-nearly-matches-fable-5-on-aggregated-benchmarks-at-one-third-the-cost/">The Decoder</source>
      <description><![CDATA[OpenAI's GPT-5.6 Sol scores 59 points on the Artificial Analysis Intelligence Index, just one point behind Claude Fable 5. At $1.04 per task, it costs a third of what Anthropic's top model charges. In agentic coding, Sol beats every competitor, adding even more pricing pressure o]]></description>
    </item>
    <item>
      <title><![CDATA[OpenAI pairs its GPT-5.6 public rollout with ChatGPT Work, a new agent that handles entire workflows]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-09-aHR0cHM6Ly90</link>
      <guid isPermaLink="false">2026-07-09-aHR0cHM6Ly90</guid>
      <pubDate>Thu, 09 Jul 2026 17:59:22 GMT</pubDate>
      <category>company-news</category>
      <source url="https://the-decoder.com/openai-pairs-its-gpt-5-6-public-rollout-with-chatgpt-work-a-new-agent-that-handles-entire-workflows/">The Decoder</source>
      <description><![CDATA[OpenAI is launching ChatGPT Work, an agent-based product powered by Codex and the now publicly available GPT-5.6. The agent can independently handle complex projects across apps like Google Drive, Slack, and Salesforce. ChatGPT Work is available now on web, mobile, and desktop, t]]></description>
    </item>
    <item>
      <title><![CDATA[Meta&#039;s Muse Spark 1.1 API pricing squeezes OpenAI and Anthropic as the AI price war heats up]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-09-aHR0cHM6Ly90</link>
      <guid isPermaLink="false">2026-07-09-aHR0cHM6Ly90</guid>
      <pubDate>Thu, 09 Jul 2026 16:58:44 GMT</pubDate>
      <category>company-news</category>
      <source url="https://the-decoder.com/metas-muse-spark-1-1-api-pricing-squeezes-openai-and-anthropic-as-the-ai-price-war-heats-up/">The Decoder</source>
      <description><![CDATA[Meta is entering the AI API business with Muse Spark 1.1 at prices that undercut even the dirt-cheap Grok 4.5, released just yesterday. At $4.25 per million output tokens, Meta charges a fraction of what Anthropic or OpenAI ask. For pure-play AI labs burning through billions, the]]></description>
    </item>
    <item>
      <title><![CDATA[OpenAI finds roughly 30 percent of popular AI coding test is broken]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-09-aHR0cHM6Ly90</link>
      <guid isPermaLink="false">2026-07-09-aHR0cHM6Ly90</guid>
      <pubDate>Thu, 09 Jul 2026 13:23:57 GMT</pubDate>
      <category>company-news</category>
      <source url="https://the-decoder.com/openai-finds-roughly-30-percent-of-popular-ai-coding-test-is-broken/">The Decoder</source>
      <description><![CDATA[OpenAI reviewed SWE-Bench Pro, a widely used test for measuring AI models' programming skills, and found roughly 30 percent of its tasks are broken. The company is pulling its earlier endorsement of the benchmark. The article OpenAI finds roughly 30 percent of popular AI coding t]]></description>
    </item>
    <item>
      <title><![CDATA[GPT-5.6 is now the preferred model in Microsoft 365 Copilot]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-09-aHR0cHM6Ly9v</link>
      <guid isPermaLink="false">2026-07-09-aHR0cHM6Ly9v</guid>
      <pubDate>Thu, 09 Jul 2026 13:00:00 GMT</pubDate>
      <category>model-release</category>
      <source url="https://openai.com/index/gpt-5-6-preferred-model-microsoft-365-copilot">OpenAI Blog</source>
      <description><![CDATA[Learn how GPT-5.6 powers Microsoft 365 Copilot with stronger AI capabilities across Word, Excel, PowerPoint, Chat, and Cowork for faster, higher-quality work.]]></description>
    </item>
    <item>
      <title><![CDATA[Nandan Nilekani leaves GP role at Fundamentum as it launches $200M third fund]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-09-aHR0cHM6Ly90</link>
      <guid isPermaLink="false">2026-07-09-aHR0cHM6Ly90</guid>
      <pubDate>Thu, 09 Jul 2026 12:00:00 GMT</pubDate>
      <category>company-news</category>
      <source url="https://techcrunch.com/2026/07/09/nandan-nilekani-leaves-gp-role-at-his-vc-firm-as-it-launches-third-200m-fund/">TechCrunch AI</source>
      <description><![CDATA[Nilekani remains Fundamentum's anchor investor as the firm expands its leadership team and targets AI and fintech startups in India.]]></description>
    </item>
    <item>
      <title><![CDATA[Databricks makes Chinese open-source model GLM 5.2 its default coding engine after it matched Opus at lower cost]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-09-aHR0cHM6Ly90</link>
      <guid isPermaLink="false">2026-07-09-aHR0cHM6Ly90</guid>
      <pubDate>Thu, 09 Jul 2026 11:03:39 GMT</pubDate>
      <category>company-news</category>
      <source url="https://the-decoder.com/databricks-makes-chinese-open-source-model-glm-5-2-its-default-coding-engine-after-it-matched-opus-at-lower-cost/">The Decoder</source>
      <description><![CDATA[Databricks benchmarked coding agents on its own multi-million-line codebase and found that the Chinese open-source model GLM 5.2 matched Anthropic's Opus 4.8 at $1.28 per task versus $1.94. The company plans to roll it out as a daily coding workhorse. Its broader takeaway: no sin]]></description>
    </item>
    <item>
      <title><![CDATA[GPT-5.6: Frontier intelligence that scales with your ambition]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-09-aHR0cHM6Ly9v</link>
      <guid isPermaLink="false">2026-07-09-aHR0cHM6Ly9v</guid>
      <pubDate>Thu, 09 Jul 2026 10:00:00 GMT</pubDate>
      <category>model-release</category>
      <source url="https://openai.com/index/gpt-5-6">OpenAI Blog</source>
      <description><![CDATA[More intelligence from every token, stronger performance per dollar, and more capability on demand for your hardest work.]]></description>
    </item>
    <item>
      <title><![CDATA[ChatGPT is now a partner for your most ambitious work]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-09-aHR0cHM6Ly9v</link>
      <guid isPermaLink="false">2026-07-09-aHR0cHM6Ly9v</guid>
      <pubDate>Thu, 09 Jul 2026 10:00:00 GMT</pubDate>
      <category>model-release</category>
      <source url="https://openai.com/index/chatgpt-for-your-most-ambitious-work">OpenAI Blog</source>
      <description><![CDATA[ChatGPT Work is an agent that can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work.]]></description>
    </item>
    <item>
      <title><![CDATA[GPT-5.5 Bio Bug Bounty]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-09-aHR0cHM6Ly9v</link>
      <guid isPermaLink="false">2026-07-09-aHR0cHM6Ly9v</guid>
      <pubDate>Thu, 09 Jul 2026 10:00:00 GMT</pubDate>
      <category>model-release</category>
      <source url="https://openai.com/index/bio-bug-bounty">OpenAI Blog</source>
      <description><![CDATA[Details about the OpenAI Bio Bounty program]]></description>
    </item>
    <item>
      <title><![CDATA[OpenAI&#039;s AI beats every human at AtCoder, a top competitive programming contest]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-09-aHR0cHM6Ly90</link>
      <guid isPermaLink="false">2026-07-09-aHR0cHM6Ly90</guid>
      <pubDate>Thu, 09 Jul 2026 09:56:57 GMT</pubDate>
      <category>company-news</category>
      <source url="https://the-decoder.com/openais-ai-beats-every-human-at-atcoder-a-top-competitive-programming-contest/">The Decoder</source>
      <description><![CDATA[At the AtCoder World Tour Finals 2026, an OpenAI system crushed all human competitors in an exhibition match, solving all five problems in the Algorithm Division. Two of those problems were rated exceptionally difficult by observers. The article OpenAI&#039;s AI beats every human]]></description>
    </item>
    <item>
      <title><![CDATA[Grok 4.5 is so cheap compared to Fable 5 and GPT 5.5 that benchmark gaps may not matter much]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-09-aHR0cHM6Ly90</link>
      <guid isPermaLink="false">2026-07-09-aHR0cHM6Ly90</guid>
      <pubDate>Thu, 09 Jul 2026 07:47:44 GMT</pubDate>
      <category>company-news</category>
      <source url="https://the-decoder.com/grok-4-5-is-so-cheap-compared-to-fable-5-and-gpt-5-5-that-benchmark-gaps-may-not-matter-much/">The Decoder</source>
      <description><![CDATA[xAI releases Grok 4.5, trained on tens of thousands of Nvidia GB300 GPUs. In coding benchmarks, the model trails Fable 5 and GPT-5.5 but needs 4.2 times fewer tokens than Opus 4.8. At $2 per million input tokens, it costs a fraction of the competition. EU availability is expected]]></description>
    </item>
    <item>
      <title><![CDATA[AgentLens: Production-Assessed Trajectory Reviews for Coding Agent Evaluation]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-09-b2FpOmFyWGl2</link>
      <guid isPermaLink="false">2026-07-09-b2FpOmFyWGl2</guid>
      <pubDate>Thu, 09 Jul 2026 04:00:00 GMT</pubDate>
      <category>research</category>
      <source url="https://arxiv.org/abs/2607.06624">arXiv cs.AI</source>
      <description><![CDATA[arXiv:2607.06624v1 Announce Type: new Abstract: We present AgentLens, a production-assessed benchmark for interactive code agents. Most code-agent benchmarks reduce a run to a single bit -- did the task pass? -- but the people who actually use these agents experience the entire t]]></description>
    </item>
    <item>
      <title><![CDATA[When Does In-Context Search Help? A Sampling-Complexity Theory of Reflection-Driven Reasoning]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-09-b2FpOmFyWGl2</link>
      <guid isPermaLink="false">2026-07-09-b2FpOmFyWGl2</guid>
      <pubDate>Thu, 09 Jul 2026 04:00:00 GMT</pubDate>
      <category>research</category>
      <source url="https://arxiv.org/abs/2607.06720">arXiv cs.AI</source>
      <description><![CDATA[arXiv:2607.06720v1 Announce Type: new Abstract: Training large language models (LLMs) with extended reasoning has enabled in-context search, in which models iteratively generate, critique, and revise solution attempts. We provide a theoretical analysis of in-context search by mod]]></description>
    </item>
    <item>
      <title><![CDATA[LLM-powered reasoning in agent-based modeling]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-09-b2FpOmFyWGl2</link>
      <guid isPermaLink="false">2026-07-09-b2FpOmFyWGl2</guid>
      <pubDate>Thu, 09 Jul 2026 04:00:00 GMT</pubDate>
      <category>research</category>
      <source url="https://arxiv.org/abs/2607.06757">arXiv cs.AI</source>
      <description><![CDATA[arXiv:2607.06757v1 Announce Type: new Abstract: Agent-based modeling (ABM) has the capability to model millions of individuals and their interactions, which is useful for policy making. However, ABMs have traditionally relied on static prior, which prevents the models from adapti]]></description>
    </item>
    <item>
      <title><![CDATA[QANTIS: Hardware-Calibrated Sequential POMDP Belief Updates on IBM Heron]]></title>
      <link>https://modu-ai-hub.vercel.app/#2026-07-09-b2FpOmFyWGl2</link>
      <guid isPermaLink="false">2026-07-09-b2FpOmFyWGl2</guid>
      <pubDate>Thu, 09 Jul 2026 04:00:00 GMT</pubDate>
      <category>research</category>
      <source url="https://arxiv.org/abs/2607.06760">arXiv cs.AI</source>
      <description><![CDATA[arXiv:2607.06760v1 Announce Type: new Abstract: Autonomous systems under partial observability act on beliefs, not raw sensor events. QANTIS treats the quantum processor as a calibrated belief-update service in that loop: it receives a prior and an observation model, estimates th]]></description>
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