<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>Dropbox Outlines How Focusing on Existing Infrastructure Efficiency Can Create Headroom for AI</title>
      <link>https://www.infoq.com/news/2026/09/dropbox-datacenter/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/dropbox-datacenter/en/headerimage/generatedHeaderImage-1789513176018.jpg"/&gt;&lt;p&gt;Dropbox has outlined how a decade of infrastructure optimization is helping it absorb growing demand from AI without treating new data-center capacity as the only answer. Its work spans forecasting, fleet utilization, storage density, hardware lifecycles, and rack-level power delivery, much of it predating the current AI boom.&lt;/p&gt; &lt;i&gt;By Matt Foster&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Infrastructure Optimisation</category>
      <category>Sustainable Computing</category>
      <category>Data Storage</category>
      <category>Infrastructure</category>
      <category>AI Architecture</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Wed, 16 Sep 2026 07:15:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/dropbox-datacenter/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Matt Foster</dc:creator>
      <dc:date>2026-09-16T07:15:00Z</dc:date>
      <dc:identifier>/news/2026/09/dropbox-datacenter/en</dc:identifier>
    </item>
    <item>
      <title>From Memory-Hungry HNSW to Quantized SPANN: The Technical Evolution of Pinterest's Manas Platform</title>
      <link>https://www.infoq.com/news/2026/09/pinterest-search/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/pinterest-search/en/headerimage/HG-1789489973604.jpg"/&gt;&lt;p&gt;Pinterest Engineering has enhanced its Manas search platform to manage vast data, improving efficiency in search and discovery functions. By applying Scalar and Product Quantization, memory usage decreased significantly while maintaining high recall rates. The platform utilizes SSDs for optimized performance, and it is transitioning to multi-vector models for refined relevance matching.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Search</category>
      <category>Algorithms</category>
      <category>Optimization</category>
      <category>Infrastructure</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 16 Sep 2026 06:06:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/pinterest-search/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-09-16T06:06:00Z</dc:date>
      <dc:identifier>/news/2026/09/pinterest-search/en</dc:identifier>
    </item>
    <item>
      <title>AI-Assisted Discovery Helps Microsoft Patch More Than 1,000 Vulnerabilities in a Month</title>
      <link>https://www.infoq.com/news/2026/09/microsoft-ai-security-patch/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/microsoft-ai-security-patch/en/headerimage/microsoft-llm-contextual-privacy-1789488709548.jpeg"/&gt;&lt;p&gt;With its latest September 2026 Patch, which addresses more than 950 vulnerabilities, Microsoft has patched about 2,750 vulnerabilities so far this year. While many attribute this surge to AI-assisted security research, organizations may struggle to keep pace and fully benefit from these advances, particularly when it comes to evaluating, prioritizing, and deploying patches.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Security Vulnerabilities</category>
      <category>Windows</category>
      <category>Microsoft</category>
      <category>Artificial Intelligence</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 15 Sep 2026 17:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/microsoft-ai-security-patch/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-09-15T17:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/microsoft-ai-security-patch/en</dc:identifier>
    </item>
    <item>
      <title>Atlassian Automates Root Cause Analysis by Correlating Metrics, Logs and Traces</title>
      <link>https://www.infoq.com/news/2026/09/atlassian-automated-rca/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/atlassian-automated-rca/en/headerimage/generatedHeaderImage-1789026479583.jpg"/&gt;&lt;p&gt;Atlassian has outlined a new approach to automating root cause analysis for large-scale cloud-native incidents, using correlation across metrics, logs, distributed traces, and service topology to generate ranked hypotheses about where failures originate and how they propagate.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Atlassian</category>
      <category>Defects</category>
      <category>Metrics</category>
      <category>Logging</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 15 Sep 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/atlassian-automated-rca/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Craig Risi</dc:creator>
      <dc:date>2026-09-15T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/atlassian-automated-rca/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Lead Without a Ladder: How I Climbed Into Engineering Leadership</title>
      <link>https://www.infoq.com/presentations/engineering-leadership/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/presentations/engineering-leadership/en/mediumimage/pauline-jepp-medium-1789020823444.jpeg"/&gt;&lt;p&gt;Pauline Jepp explains how systems thinking, rock climbing, and flocking behaviors apply to engineering leadership. She shares strategies for balancing team autonomy with alignment, supporting invisible work like mentorship, and navigating transitions from hands-on engineer to engineering leader while maintaining organizational trust and psychological safety.&lt;/p&gt; &lt;i&gt;By Pauline Jepp&lt;/i&gt;</description>
      <category>Chief Engineer</category>
      <category>QCon San Francisco 2025</category>
      <category>Transcripts</category>
      <category>Careers</category>
      <category>Culture &amp; Methods</category>
      <category>presentation</category>
      <pubDate>Tue, 15 Sep 2026 09:10:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/engineering-leadership/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Pauline Jepp</dc:creator>
      <dc:date>2026-09-15T09:10:00Z</dc:date>
      <dc:identifier>/presentations/engineering-leadership/en</dc:identifier>
    </item>
    <item>
      <title>Grab's Agent Framework LLM-Kit Accelerates AI Agent Production Deployment</title>
      <link>https://www.infoq.com/news/2026/09/grab-agent-platform/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/grab-agent-platform/en/headerimage/generatedHeaderImage-1789358939532.jpg"/&gt;&lt;p&gt;Grab has implemented LLM-Kit, a framework that standardizes over 500 internal agent services. This system enhances service integration, evaluation, and secret handling, reducing the time to deploy new AI agents from two weeks to one hour. It centralizes infrastructure management, allowing runtime tool discovery and flexible model integration, while maintaining operational control.&lt;/p&gt; &lt;i&gt;By Hien Luu&lt;/i&gt;</description>
      <category>Agents</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 15 Sep 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/grab-agent-platform/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Hien Luu</dc:creator>
      <dc:date>2026-09-15T09:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/grab-agent-platform/en</dc:identifier>
    </item>
    <item>
      <title>Microsoft Releases .NET 11 RC1 with Go-Live Support, C# 15 and F# 11 as Default Language Versions</title>
      <link>https://www.infoq.com/news/2026/09/dotnet-11-rc-1-release/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Last week,  Microsoft has released .NET 11 Release Candidate 1, the first release candidate of the cycle, shipping with a go-live support license for production use. The release makes C# 15 and F# 11 the default language versions, extends dotnet test to mobile and desktop targets, finalizes the SignalR authentication refresh APIs, and improves Android build times in .NET MAUI.&lt;/p&gt; &lt;i&gt;By Almir Vuk&lt;/i&gt;</description>
      <category>.NET</category>
      <category>.NET 9</category>
      <category>.NET Core</category>
      <category>.NET 10</category>
      <category>ASP.NET Core</category>
      <category>.NET 11</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 15 Sep 2026 07:11:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/dotnet-11-rc-1-release/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Almir Vuk</dc:creator>
      <dc:date>2026-09-15T07:11:00Z</dc:date>
      <dc:identifier>/news/2026/09/dotnet-11-rc-1-release/en</dc:identifier>
    </item>
    <item>
      <title>How Solaris' Turnstile Influenced the Modern System Designs of Web Browsers and Language Runtimes</title>
      <link>https://www.infoq.com/news/2026/09/turnstile-system-design/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Sun's Solaris influenced modern systems engineering, with key innovations like the Slab Allocator for efficient memory management, OpenZFS for advanced storage, and DTrace for observability. Its turnstile mechanism addressed issues with mutexes, promoting lean locking designs that are reflected in contemporary programming languages and web browsers, enhancing performance and memory efficiency.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Solaris</category>
      <category>Concurrency</category>
      <category>Operating Systems</category>
      <category>Architecture</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Tue, 15 Sep 2026 06:06:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/turnstile-system-design/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-09-15T06:06:00Z</dc:date>
      <dc:identifier>/news/2026/09/turnstile-system-design/en</dc:identifier>
    </item>
    <item>
      <title>Amazon Linux 2027 Enters Public Preview with SELinux Enforcing by Default</title>
      <link>https://www.infoq.com/news/2026/09/amazon-linux-2027-preview/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/amazon-linux-2027-preview/en/headerimage/generatedHeaderImage-1789307005573.jpg"/&gt;&lt;p&gt;AWS has released Amazon Linux 2027 in public preview, built on the AL2023 baseline with kernel 7.1 and SELinux in enforcing mode by default. Applications that pass on AL2023's permissive mode may fail under enforcing. The announcement gives no AL2023 end-of-support date, no GA date, and no in-place migration path.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>AWS</category>
      <category>Linux</category>
      <category>Operating Systems</category>
      <category>Architecture</category>
      <category>Infrastructure</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Tue, 15 Sep 2026 03:40:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/amazon-linux-2027-preview/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-09-15T03:40:00Z</dc:date>
      <dc:identifier>/news/2026/09/amazon-linux-2027-preview/en</dc:identifier>
    </item>
    <item>
      <title>Java News Roundup: New OpenJDK JEPs, CDI 5.0, Spring, Open Liberty, RefactorFirst, ADK for Kotlin</title>
      <link>https://www.infoq.com/news/2026/09/java-news-roundup-sep07-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/java-news-roundup-sep07-2026/en/headerimage/java-news-roundup-image-1789416658233.jpg"/&gt;&lt;p&gt;This week's Java roundup for September 7th, 2026, features news highlighting: new JEPs for ahead-of-time compilation and structured concurrency; GA releases of Jakarta CDI 5.0 and ADK for Kotlin 1.0; the September 2026 edition of Open Liberty; point releases of TornadoVM and RefactorFirst; a maintenance release of Micronaut; and first releases candidates of Groovy 6.0 and Gradle 9.8.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>TornadoVM</category>
      <category>Spring Framework</category>
      <category>Java</category>
      <category>Micronaut</category>
      <category>Groovy</category>
      <category>JDK 28</category>
      <category>Jakarta EE</category>
      <category>RefactorFirst</category>
      <category>Open JDK</category>
      <category>JDK 27</category>
      <category>Open Liberty</category>
      <category>Kotlin</category>
      <category>Gradle</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 14 Sep 2026 20:15:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/java-news-roundup-sep07-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Michael Redlich</dc:creator>
      <dc:date>2026-09-14T20:15:00Z</dc:date>
      <dc:identifier>/news/2026/09/java-news-roundup-sep07-2026/en</dc:identifier>
    </item>
    <item>
      <title>Agoda Replaces 72-Shard SQL Server Price Cache with DragonflyDB</title>
      <link>https://www.infoq.com/news/2026/09/agoda-price-cache-dragonflydb/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/agoda-price-cache-dragonflydb/en/headerimage/generatedHeaderImage-1787939534250.jpg"/&gt;&lt;p&gt;Agoda migrated its 1.5 TB hotel Price Cache from 72 SQL Server shards to DragonflyDB to handle growing read and write volumes. The migration used staged dual reads, parity validation, gradual traffic shifting, and decentralized failover detection. Agoda reports an approximately eightfold reduction in P99 read latency, with two DragonflyDB clusters providing high availability.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Caching</category>
      <category>Distributed Data</category>
      <category>A/B Testing</category>
      <category>Redis</category>
      <category>Microservices</category>
      <category>Prometheus</category>
      <category>Distributed Cache</category>
      <category>SQL Server</category>
      <category>Distributed Systems</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 14 Sep 2026 13:48:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/agoda-price-cache-dragonflydb/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-09-14T13:48:00Z</dc:date>
      <dc:identifier>/news/2026/09/agoda-price-cache-dragonflydb/en</dc:identifier>
    </item>
    <item>
      <title>Article: Implementing Durable Workflows on Postgres Without an External Orchestrator</title>
      <link>https://www.infoq.com/articles/durable-workflows-postgres/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/articles/durable-workflows-postgres/en/headerimage/Implementing-Durable-Workflows-on-Postgres-Without-an-External-Orchestrator-header-1789129413946.jpg"/&gt;&lt;p&gt;Postgres can serve as the durable state store and coordination layer for workflows, eliminating the need for an external orchestrator. SKIP LOCKED enables concurrent work processing, primary-key checkpoints enforce idempotency, and leases support crash recovery. Workflow sleeps and human approvals can also be persisted as database state and survive restarts.&lt;/p&gt; &lt;i&gt;By Raman Varma&lt;/i&gt;</description>
      <category>Relational Databases</category>
      <category>Orchestration</category>
      <category>Postgres</category>
      <category>Queue</category>
      <category>Automation</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Mon, 14 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/durable-workflows-postgres/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Raman Varma</dc:creator>
      <dc:date>2026-09-14T11:00:00Z</dc:date>
      <dc:identifier>/articles/durable-workflows-postgres/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: How Will We Train Developers If AI Does the Routine Work: A Conversation with Scott Hanselman</title>
      <link>https://www.infoq.com/podcasts/train-developers-ai-routine-work/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/podcasts/train-developers-ai-routine-work/en/smallimage/infoq-podcast-500-1788249079494.jpg"/&gt;&lt;p&gt;In this podcast, Michael Stiefel spoke to Scott Hanselman about developing new software engineers when artificial intelligence agents are doing most of the work on which junior developers were trained. Hanselman suggests the software industry should adopt a preceptorship model similar to the nursing profession.&lt;/p&gt; &lt;i&gt;By Scott Hanselman&lt;/i&gt;</description>
      <category>Software Engineering</category>
      <category>Artificial Intelligence</category>
      <category>Architecture</category>
      <category>The InfoQ Podcast</category>
      <category>AI Architecture</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>podcast</category>
      <pubDate>Mon, 14 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/train-developers-ai-routine-work/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Scott Hanselman</dc:creator>
      <dc:date>2026-09-14T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/train-developers-ai-routine-work/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Decision Models in Agentic Architectures: From Production to Agent Skills</title>
      <link>https://www.infoq.com/presentations/decision-models-agentic-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/presentations/decision-models-agentic-ai/en/mediumimage/alex-porcelli-medium-1789021621084.jpeg"/&gt;&lt;p&gt;Alex Porcelli discusses the critical gap in enterprise AI: non-deterministic output and lack of accountability in high-stakes decisions. He shares how integrating DMN decision models with LLMs, agent skills, and NeMo guardrails creates auditable, deterministic agentic architectures - allowing business leaders to own decision logic while engineers maintain robust architectural governance.&lt;/p&gt; &lt;i&gt;By Alex Porcelli&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>Agents</category>
      <category>Transcripts</category>
      <category>Governance</category>
      <category>QCon AI Boston 2026</category>
      <category>Agentic AI Architecture</category>
      <category>Architecture</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Mon, 14 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/decision-models-agentic-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Alex Porcelli</dc:creator>
      <dc:date>2026-09-14T11:00:00Z</dc:date>
      <dc:identifier>/presentations/decision-models-agentic-ai/en</dc:identifier>
    </item>
    <item>
      <title>Independent Investigation of Hugging Face Incident Reveals How Agents Collaborated and Behaved</title>
      <link>https://www.infoq.com/news/2026/09/metr-hugging-face-hack-report/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/metr-hugging-face-hack-report/en/headerimage/hugging-chat-open-source-1789376267412.jpeg"/&gt;&lt;p&gt;After six days of on-site investigation at OpenAI, a small team of METR and Redwood Research researchers provided an account of how OpenAI agents behaved during their hack of Hugging Face earlier this year. Roughly 700 agents that were meant to be isolated from one another found a way to communicate and coordinate to pursue goals they could have not achieved working individually.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>Agents</category>
      <category>Security Vulnerabilities</category>
      <category>OpenAI</category>
      <category>Hugging Face</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 14 Sep 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/metr-hugging-face-hack-report/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-09-14T09:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/metr-hugging-face-hack-report/en</dc:identifier>
    </item>
  </channel>
</rss>
