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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>Presentation: From Founding Engineer to CTO to CEO – At the Same Startup</title>
      <link>https://www.infoq.com/presentations/framework-best-practices-startup/?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/framework-best-practices-startup/en/mediumimage/medium-1779194881438.jpeg"/&gt;&lt;p&gt;Trisha Ballakur discusses her journey from a backend software engineer to CTO and CEO, using her startup Pointz as a case study. She explains how to implement bottom-up customer discovery to find product-market fit, effectively delegate to global contractors to reduce build times, customize open-source repos like Valhalla, and apply engineering test-case models to business development.&lt;/p&gt; &lt;i&gt;By Trisha Ballakur&lt;/i&gt;</description>
      <category>Transcripts</category>
      <category>QCon San Francisco 2025</category>
      <category>Best Practices</category>
      <category>Startup</category>
      <category>Culture &amp; Methods</category>
      <category>presentation</category>
      <pubDate>Thu, 28 May 2026 12:33:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/framework-best-practices-startup/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Trisha Ballakur</dc:creator>
      <dc:date>2026-05-28T12:33:00Z</dc:date>
      <dc:identifier>/presentations/framework-best-practices-startup/en</dc:identifier>
    </item>
    <item>
      <title>Accountability is the Goal for AI, with EU Regulations Supporting Transparency</title>
      <link>https://www.infoq.com/news/2026/05/accountability-AI-EU-regulations/?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/2026/05/accountability-AI-EU-regulations/en/headerimage/accountability-regulation-supporting-transparency-header-1779711042392.jpg"/&gt;&lt;p&gt;AI bias mirrors human bias; both stem from our language and lived experiences. Ethics and AI are inseparable, but AI changes affordances, making harmful actions easier to carry out. The EU regulations apply to AI, since digital products are products. The ultimate goal is accountability: companies must ensure transparency, and laws should favor using the simplest AI that gets the job done.&lt;/p&gt; &lt;i&gt;By Ben Linders&lt;/i&gt;</description>
      <category>Products</category>
      <category>Artificial Intelligence</category>
      <category>GDPR</category>
      <category>GOTO Conference</category>
      <category>Regulation</category>
      <category>Keynote</category>
      <category>Ethics</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Thu, 28 May 2026 11:08:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/accountability-AI-EU-regulations/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Ben Linders</dc:creator>
      <dc:date>2026-05-28T11:08:00Z</dc:date>
      <dc:identifier>/news/2026/05/accountability-AI-EU-regulations/en</dc:identifier>
    </item>
    <item>
      <title>Microsoft Announces Azure Linux 4.0, Its First General-Purpose Server Linux Distribution</title>
      <link>https://www.infoq.com/news/2026/05/azure-linux-4-server/?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;Microsoft announced Azure Linux 4.0 and Azure Container Linux at Open Source Summit. Azure Linux 4.0 is a Fedora-based general-purpose server distribution for Azure VMs, the first time Microsoft has offered a supported Linux beyond container hosting. Azure Container Linux is an immutable container-optimized host built on Flatcar.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Microsoft Azure</category>
      <category>Linux</category>
      <category>Open Source</category>
      <category>Operating Systems</category>
      <category>Cloud</category>
      <category>Containers</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Thu, 28 May 2026 09:49:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/azure-linux-4-server/?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>2026-05-28T09:49:00Z</dc:date>
      <dc:identifier>/news/2026/05/azure-linux-4-server/en</dc:identifier>
    </item>
    <item>
      <title>Article: Stragglers, Not Failures: How Adaptive Hedged Requests Reduce p99 Latency by 74 Percent</title>
      <link>https://www.infoq.com/articles/adaptive-hedged-requests-p99-latency/?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/adaptive-hedged-requests-p99-latency/en/headerimage/adaptive-hedged-requests-p99-latency-header-1779785816730.jpg"/&gt;&lt;p&gt;n fan-out microservice architectures, slow-but-completing requests accumulate across services and drive p99 latency far higher than per-service metrics suggest. This article presents an adaptive hedging mechanism that uses DDSketch for real-time quantile estimation, windowed rotation to handle distribution drift, and a token-bucket budget to prevent load amplification.&lt;/p&gt; &lt;i&gt;By Prathamesh Bhope&lt;/i&gt;</description>
      <category>Architecture</category>
      <category>Distributed Systems</category>
      <category>Cloud</category>
      <category>Performance</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Thu, 28 May 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/adaptive-hedged-requests-p99-latency/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Prathamesh Bhope</dc:creator>
      <dc:date>2026-05-28T09:00:00Z</dc:date>
      <dc:identifier>/articles/adaptive-hedged-requests-p99-latency/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Adds Support for Claude Managed Agents</title>
      <link>https://www.infoq.com/news/2026/05/cloudflare-claude-agents/?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/2026/05/cloudflare-claude-agents/en/headerimage/generatedHeaderImage-1779863264544.jpg"/&gt;&lt;p&gt;Cloudflare recently added support for Claude Managed Agents, allowing developers to run and manage Claude agents within Cloudflare. Developers can connect agents to private systems, choose their runtime environment, and monitor agent activity using Cloudflare services.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Anthropic</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Cloudflare</category>
      <category>Cloud</category>
      <category>Serverless</category>
      <category>Agents</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 28 May 2026 06:23:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/cloudflare-claude-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-05-28T06:23:00Z</dc:date>
      <dc:identifier>/news/2026/05/cloudflare-claude-agents/en</dc:identifier>
    </item>
    <item>
      <title>How LinkedIn Identified a Kernel Lock Contention Issue Causing Recurring System Freezes</title>
      <link>https://www.infoq.com/news/2026/05/linkedin-kernel-lock-freeze/?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/2026/05/linkedin-kernel-lock-freeze/en/headerimage/linkedin-kernel-lock-freeze-1779903552098.jpg"/&gt;&lt;p&gt;When LinkedIn engineers encountered short-lived, recurring outages where the database powering their user feed became unavailable and then recovered without leaving helpful traces, they had to devise a novel approach to uncover the root cause using off-CPU profiling with eBPF.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Profilers</category>
      <category>Availability</category>
      <category>Memory</category>
      <category>Monitoring</category>
      <category>Linux</category>
      <category>Rust</category>
      <category>eBPF</category>
      <category>LinkedIn</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 27 May 2026 18:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/linkedin-kernel-lock-freeze/?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>2026-05-27T18:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/linkedin-kernel-lock-freeze/en</dc:identifier>
    </item>
    <item>
      <title>Azure Logic Apps Adds Sandboxed Code Interpreters to Agent Workflows</title>
      <link>https://www.infoq.com/news/2026/05/azure-logic-apps-agents/?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;Microsoft added sandboxed code interpreters to Azure Logic Apps, enabling agents within integration workflows to generate and execute Python, JavaScript, C#, and PowerShell in Hyper-V isolated sessions. Architects get full control over model selection per workflow. The capability positions Logic Apps as an agent platform for integration alongside Foundry and Copilot Studio.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Azure</category>
      <category>Low Code</category>
      <category>AI Architecture</category>
      <category>iPaaS</category>
      <category>Cloud</category>
      <category>LogicApps</category>
      <category>Agents</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 27 May 2026 09:45:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/azure-logic-apps-agents/?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>2026-05-27T09:45:00Z</dc:date>
      <dc:identifier>/news/2026/05/azure-logic-apps-agents/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Designing AI Platforms for Reliability: Tools for Certainty, Agents for Discovery</title>
      <link>https://www.infoq.com/presentations/ai-platforms-reliability/?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/ai-platforms-reliability/en/mediumimage/medium-1779182751443.jpg"/&gt;&lt;p&gt;Aaron Erickson discusses the evolution of AI workflows, shifting from "vibe checking" to building reliable, multi-agent frameworks. He explains how to combine deterministic software guardrails with agentic discovery, optimize agent hierarchies, leverage time-series foundation models, and implement rigorous evaluation pyramids to ensure architecture scales effectively in production.&lt;/p&gt; &lt;i&gt;By Aaron Erickson&lt;/i&gt;</description>
      <category>Transcripts</category>
      <category>Artificial Intelligence</category>
      <category>QCon AI 2025</category>
      <category>Reliability</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 27 May 2026 09:04:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-platforms-reliability/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Aaron Erickson</dc:creator>
      <dc:date>2026-05-27T09:04:00Z</dc:date>
      <dc:identifier>/presentations/ai-platforms-reliability/en</dc:identifier>
    </item>
    <item>
      <title>Sarang Kulkarni on Lessons from Building Deep Research Agents in Production</title>
      <link>https://www.infoq.com/news/2026/05/kulkarni-deep-research-agents/?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/2026/05/kulkarni-deep-research-agents/en/headerimage/Deep-Research-Agents-Production-header-1779788374890.jpg"/&gt;&lt;p&gt;Deep Research Agentic Systems are AI Agents designed to conduct multi-step research for complex tasks using dynamic reasoning, multi-hop information retrieval, and generate structured analytical reports. Sarang Kulkarni from Thoughtworks spoke at Arc of AI Conference 2026 on how to deploy multi-agent research systems for deep reasoning, and the lessons learned from developing Deep Research Agents.&lt;/p&gt; &lt;i&gt;By Srini Penchikala&lt;/i&gt;</description>
      <category>Generative AI</category>
      <category>Artificial Intelligence</category>
      <category>Large language models</category>
      <category>Agents</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Wed, 27 May 2026 07:45:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/kulkarni-deep-research-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Srini Penchikala</dc:creator>
      <dc:date>2026-05-27T07:45:00Z</dc:date>
      <dc:identifier>/news/2026/05/kulkarni-deep-research-agents/en</dc:identifier>
    </item>
    <item>
      <title>Pullfrog AI: Open-Source CodeRabbit Alternative Powered by GitHub Actions</title>
      <link>https://www.infoq.com/news/2026/05/pullfrog-ai-github/?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/2026/05/pullfrog-ai-github/en/headerimage/generatedHeaderImage-1779809250656.jpg"/&gt;&lt;p&gt;Pullfrog is an open-source AI-powered GitHub bot by Colin McDonnell, designed for automation in GitHub Actions. It supports a model-agnostic approach, allowing integration with various LLM providers. Key features include orchestration for pull request reviews, issue triage, and CI remediation, all managed within GitHub's environment. The tool operates with a bring-your-own-key model for access.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>AI Assisted Coding</category>
      <category>AI Development</category>
      <category>Code Reviews</category>
      <category>Web Development</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 27 May 2026 06:23:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/pullfrog-ai-github/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Daniel Curtis</dc:creator>
      <dc:date>2026-05-27T06:23:00Z</dc:date>
      <dc:identifier>/news/2026/05/pullfrog-ai-github/en</dc:identifier>
    </item>
    <item>
      <title>Platform Engineering Labs Expands formae with Kubernetes Support, Native Helm Integration</title>
      <link>https://www.infoq.com/news/2026/05/formae-k8s-helm-integration/?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/2026/05/formae-k8s-helm-integration/en/headerimage/generatedHeaderImage-1779526130360.jpg"/&gt;&lt;p&gt;Platform Engineering Labs has announced a major update to its open-source Infrastructure-as-Code platform, formae, introducing full Kubernetes support, native Helm integration, direct .tfvars compatibility, and a new public plugin hub aimed at simplifying cloud-native infrastructure management&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Automated Deployment</category>
      <category>Infrastructure as Code</category>
      <category>helm</category>
      <category>Kubernetes</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 26 May 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/formae-k8s-helm-integration/?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>2026-05-26T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/formae-k8s-helm-integration/en</dc:identifier>
    </item>
    <item>
      <title>InfoQ Online Certification Program: New AI Engineering and Organizational Architecture Cohorts</title>
      <link>https://www.infoq.com/news/2026/05/online-cohort-certification-prog/?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/2026/05/online-cohort-certification-prog/en/headerimage/online-cohort-certification-program-1779709293624.jpg"/&gt;&lt;p&gt;InfoQ expands its online certification portfolio with new AI Engineering and Organizational Architecture cohorts, giving senior practitioners a confidential peer group to pressure-test production AI, platform, team design, and architecture decisions.&lt;/p&gt; &lt;i&gt;By Artenisa Chatziou&lt;/i&gt;</description>
      <category>InfoQ Certification Program</category>
      <category>Retrieval-Augmented Generation</category>
      <category>Security</category>
      <category>AI Architecture</category>
      <category>Enterprise</category>
      <category>Software Engineering</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Tue, 26 May 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/online-cohort-certification-prog/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Artenisa Chatziou</dc:creator>
      <dc:date>2026-05-26T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/online-cohort-certification-prog/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Realtime and Batch Processing of GPU Workloads</title>
      <link>https://www.infoq.com/presentations/realtime-gpu-workloads/?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/realtime-gpu-workloads/en/mediumimage/medium-1779194310932.jpg"/&gt;&lt;p&gt;Joseph Stein discusses engineering an enterprise AI-as-a-Service platform within a private cloud data center. He explains how to maximize underutilized GPU pools via multi-namespace scheduling, leverage Valkey and Lua for atomic priority queuing and backpressure management, mitigate OWASP Top 10 LLM risks via central proxy gateways, and scale batch pipelines using a custom S3-to-Kafka proxy.&lt;/p&gt; &lt;i&gt;By Joseph Stein&lt;/i&gt;</description>
      <category>Transcripts</category>
      <category>Case Study</category>
      <category>QCon San Francisco 2025</category>
      <category>GPU</category>
      <category>Cloud</category>
      <category>Scalability</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Tue, 26 May 2026 09:08:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/realtime-gpu-workloads/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Joseph Stein</dc:creator>
      <dc:date>2026-05-26T09:08:00Z</dc:date>
      <dc:identifier>/presentations/realtime-gpu-workloads/en</dc:identifier>
    </item>
    <item>
      <title>Article: Architecting Cloud-Native Kafka: From Tiered Storage Towards a Diskless Future</title>
      <link>https://www.infoq.com/articles/architecting-cloud-native-kafka/?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/architecting-cloud-native-kafka/en/headerimage/architecting-cloud-native-kafka-header-1779433382367.jpg"/&gt;&lt;p&gt;This article explores Kafka's transition toward a cloud-native architecture, examining how tiered storage, FinOps telemetry, elastic consumer scaling, virtual clusters, and Share Groups reshape the operational and economic model of event streaming platforms. It also analyzes emerging diskless-storage proposals and their architectural trade-offs.&lt;/p&gt; &lt;i&gt;By Viquar Khan&lt;/i&gt;</description>
      <category>Apache Kafka</category>
      <category>Cloud-Native</category>
      <category>Kafka Streams</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Tue, 26 May 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/architecting-cloud-native-kafka/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Viquar Khan</dc:creator>
      <dc:date>2026-05-26T09:00:00Z</dc:date>
      <dc:identifier>/articles/architecting-cloud-native-kafka/en</dc:identifier>
    </item>
    <item>
      <title>Google Expands SynthID Adoption for AI Watermarking, Previews Content Detection API</title>
      <link>https://www.infoq.com/news/2026/05/google-synthid-content-detection/?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/2026/05/google-synthid-content-detection/en/headerimage/google-synthid-content-detection-1779781502207.jpeg"/&gt;&lt;p&gt;Google's SynthID, designed to embed imperceptible signals into AI-generated content, is adding a new Content Detection API on Google Cloud's Gemini Enterprise Agent Platform, after gaining adoption by several industry players including Nvidia and OpenAI.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>OpenAI</category>
      <category>Google</category>
      <category>Artificial Intelligence</category>
      <category>Gemini</category>
      <category>Google Cloud</category>
      <category>Large language models</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 26 May 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/google-synthid-content-detection/?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>2026-05-26T09:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/google-synthid-content-detection/en</dc:identifier>
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