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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>Airbnb Cuts Authentication Code by 60% with Server Driven Architecture</title>
      <link>https://www.infoq.com/news/2026/09/airbnb-server-driven-login/?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/airbnb-server-driven-login/en/headerimage/generatedHeaderImage-1787593560494.jpg"/&gt;&lt;p&gt;Airbnb redesigned its authentication architecture around server driven flows and policy based challenge selection. The new Flexible Authentication system reduced authentication related code by 60%, cut the web client bundle by 100 KB, improved successful authentication by 2.6%, reduced duplicate account creation by 27%, and lowered OTP costs by 11%.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>User Experience</category>
      <category>Scalability</category>
      <category>Web</category>
      <category>Distributed Systems</category>
      <category>Web Applications</category>
      <category>policy</category>
      <category>Rule Engines</category>
      <category>Mobile Development</category>
      <category>GUI</category>
      <category>Experiment Driven Development</category>
      <category>Evolutionary Architecture</category>
      <category>Identity Management</category>
      <category>Software Engineering</category>
      <category>Authentication</category>
      <category>Architecture</category>
      <category>Mobile Apps</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 04 Sep 2026 14:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/airbnb-server-driven-login/?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>2026-09-04T14:30:00Z</dc:date>
      <dc:identifier>/news/2026/09/airbnb-server-driven-login/en</dc:identifier>
    </item>
    <item>
      <title>Kubernetes Promotes KYAML as a Safer, More Consistent Way to Work with Manifests</title>
      <link>https://www.infoq.com/news/2026/09/kubernetes-kyaml-manifests/?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/kubernetes-kyaml-manifests/en/headerimage/generatedHeaderImage-1787909718521.jpg"/&gt;&lt;p&gt;Kubernetes is encouraging developers to take a closer look at KYAML, a stricter dialect of YAML designed to make Kubernetes configuration more explicit, predictable, and less prone to common YAML errors.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Kubernetes</category>
      <category>YAML</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 04 Sep 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/kubernetes-kyaml-manifests/?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>2026-09-04T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/kubernetes-kyaml-manifests/en</dc:identifier>
    </item>
    <item>
      <title>Mini book: Next-Gen Architecture Playbook: Insights and Patterns for the AI Era</title>
      <link>https://www.infoq.com/minibooks/next-gen-architecture-ai-era/?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/minibooks/next-gen-architecture-ai-era/en/smallimage/thumb-image-emag-next-gen-architecture-playbook-1787922032442.jpg"/&gt;&lt;p&gt;This eMag examines how architects can lead with clarity in a rapidly evolving engineering world, distilling industry insights into field-tested practices for teams. Together, these stories reveal a core theme: the technology leader’s role is expanding from building systems to guiding how tech behaves and learns, while enabling engineers and organizations to bring out their best.&lt;/p&gt; &lt;i&gt;By InfoQ&lt;/i&gt;</description>
      <category>Platform Engineering</category>
      <category>AI Architecture</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>minibook</category>
      <pubDate>Fri, 04 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/minibooks/next-gen-architecture-ai-era/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>InfoQ</dc:creator>
      <dc:date>2026-09-04T11:00:00Z</dc:date>
      <dc:identifier>/minibooks/next-gen-architecture-ai-era/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: From S3 to GPU in One Copy: Rethinking Data Loading for ML Training</title>
      <link>https://www.infoq.com/presentations/vortex-columnar-file-format-gpu-streaming/?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/vortex-columnar-file-format-gpu-streaming/en/mediumimage/onur-satici-medium-1787813397611.jpeg"/&gt;&lt;p&gt;Onur Satici explains how Vortex, an open-source columnar file format under the Linux Foundation, revolutionizes high-throughput data loading. He details how cascading lightweight encodings, layout-based segment pruning, and zero-copy memory pipelines eliminate CPU/NVMe bottlenecks to stream S3 data straight to GPUs at speeds up to 60 Gbps without requiring upfront data reprocessing.&lt;/p&gt; &lt;i&gt;By Onur Satici&lt;/i&gt;</description>
      <category>Machine Learning</category>
      <category>Performance</category>
      <category>Transcripts</category>
      <category>Columnar Databases</category>
      <category>Rust</category>
      <category>CUDA</category>
      <category>S3</category>
      <category>QCon London 2026</category>
      <category>Data Lake</category>
      <category>Streaming</category>
      <category>GPU</category>
      <category>Data Pipelines</category>
      <category>Architecture</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Fri, 04 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/vortex-columnar-file-format-gpu-streaming/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Onur Satici</dc:creator>
      <dc:date>2026-09-04T11:00:00Z</dc:date>
      <dc:identifier>/presentations/vortex-columnar-file-format-gpu-streaming/en</dc:identifier>
    </item>
    <item>
      <title>Copilot Code Review Reaches Azure Repos, Billed Per Review with Reporting Two Days Behind</title>
      <link>https://www.infoq.com/news/2026/09/copilot-code-review-azure-repos/?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/copilot-code-review-azure-repos/en/headerimage/generatedHeaderImage-1788266643329.jpg"/&gt;&lt;p&gt;Microsoft opened GitHub Copilot code review for Azure Repos to all Azure DevOps customers, after acknowledging that many are not ready to migrate to GitHub. Reviews bill per use through the linked Azure subscription and appear in Cost Management 48 hours later. Budgets notify but do not stop reviews, and concurrency caps at five per organization.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cost Optimization</category>
      <category>Developer Experience</category>
      <category>Cloud</category>
      <category>Generative AI</category>
      <category>Continuous Delivery</category>
      <category>Azure</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 04 Sep 2026 10:01:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/copilot-code-review-azure-repos/?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>2026-09-04T10:01:00Z</dc:date>
      <dc:identifier>/news/2026/09/copilot-code-review-azure-repos/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: Personality Over Skillset: How Adam Wachtel Builds Engineering Teams</title>
      <link>https://www.infoq.com/podcasts/personality-over-skillset/?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/personality-over-skillset/en/smallimage/engineering-culture-500-1787649877840.jpg"/&gt;&lt;p&gt;In this podcast, Shane Hastie, Lead Editor for Culture &amp; Methods, spoke to Adam Wachtel, CTO at Click Boarding, about hiring for personality and problem-solving over pure skillset, turning around a platform and team in crisis, and how AI is reshaping team size and composition without ending SAAS.&lt;/p&gt; &lt;i&gt;By Adam Wachtel&lt;/i&gt;</description>
      <category>Engineering Culture Podcast</category>
      <category>Developer Experience</category>
      <category>Teamwork</category>
      <category>Psychological Safety</category>
      <category>Careers</category>
      <category>Culture</category>
      <category>Technical Debt</category>
      <category>Leadership</category>
      <category>Culture &amp; Methods</category>
      <category>podcast</category>
      <pubDate>Fri, 04 Sep 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/personality-over-skillset/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Adam Wachtel</dc:creator>
      <dc:date>2026-09-04T09:00:00Z</dc:date>
      <dc:identifier>/podcasts/personality-over-skillset/en</dc:identifier>
    </item>
    <item>
      <title>Tether: Apple Continuity Like Experience Between iOS and Linux Desktop Machines</title>
      <link>https://www.infoq.com/news/2026/09/apple-continuity-linux/?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;Zack Bartel has developed Tether, an open-source project designed to integrate Apple Continuity features with Linux workstations. Tether allows users to send iMessages, sync clipboards, and view iOS notifications directly on Linux. It uses secure local network communication and a custom Bluetooth stack to ensure reliable connectivity and robust security in cross-platform interactions.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>iOS</category>
      <category>Emerging Technologies</category>
      <category>Communication</category>
      <category>Linux</category>
      <category>Bluetooth</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 04 Sep 2026 06:06:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/apple-continuity-linux/?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>2026-09-04T06:06:00Z</dc:date>
      <dc:identifier>/news/2026/09/apple-continuity-linux/en</dc:identifier>
    </item>
    <item>
      <title>Twenty Years of jQuery: How a Little Library Rewired Web Development</title>
      <link>https://www.infoq.com/news/2026/09/jquery-20-years/?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/jquery-20-years/en/headerimage/generatedHeaderImage-1788335247571.jpg"/&gt;&lt;p&gt;jQuery, created by John Resig and released in 2006, is a JavaScript library that simplifies HTML manipulation, event handling, animation, and Ajax. It enabled easier web development by providing an accessible API across browsers. While its use has declined with the rise of modern frameworks, jQuery remains prevalent on a significant portion of websites today.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>JavaScript</category>
      <category>jQuery</category>
      <category>Web Development</category>
      <category>JavaScript Libraries</category>
      <category>Web Browser</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 04 Sep 2026 05:03:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/jquery-20-years/?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>2026-09-04T05:03:00Z</dc:date>
      <dc:identifier>/news/2026/09/jquery-20-years/en</dc:identifier>
    </item>
    <item>
      <title>Shopify Introduces Gisting: Compressing LLM System Prompts into Learned Tokens</title>
      <link>https://www.infoq.com/news/2026/09/spotify-gisting-llm-performance/?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/spotify-gisting-llm-performance/en/headerimage/spotify-app-size-growth-process-1788462838475.jpeg"/&gt;&lt;p&gt;Shopify's engineering introduced gisting, a novel technique for compressing long LLM prompts into a smaller set of learned "gist" tokens, improving throughput and reducing inference cost.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Large language models</category>
      <category>Performance</category>
      <category>Model Inference</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Thu, 03 Sep 2026 20:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/spotify-gisting-llm-performance/?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>2026-09-03T20:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/spotify-gisting-llm-performance/en</dc:identifier>
    </item>
    <item>
      <title>Rigorous Yet Sustainable Human Reviews in the AI Era</title>
      <link>https://www.infoq.com/news/2026/09/human-reviews-AI-era/?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/human-reviews-AI-era/en/headerimage/human-reviews-ai-era-header-1788179792608.jpg"/&gt;&lt;p&gt;Mandatory AI checks paired with manual spikes for complex changes keep developers sharp. Teams can boost velocity by skipping peer reviews on low-risk PRs and using AI approvals, provided most developers are code owners and teams are small.&lt;/p&gt; &lt;i&gt;By Ben Linders&lt;/i&gt;</description>
      <category>Code Reviews</category>
      <category>Code Quality</category>
      <category>Craft Conference</category>
      <category>Feedback</category>
      <category>Code Generation</category>
      <category>Artificial Intelligence</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Thu, 03 Sep 2026 11:57:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/human-reviews-AI-era/?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>2026-09-03T11:57:00Z</dc:date>
      <dc:identifier>/news/2026/09/human-reviews-AI-era/en</dc:identifier>
    </item>
    <item>
      <title>pnpm 12 Rewrites Package Manager in Rust, Accelerating Installs While Preserving pnpm 11 Workflows</title>
      <link>https://www.infoq.com/news/2026/09/pnpm-12-rust/?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/pnpm-12-rust/en/headerimage/generatedHeaderImage-1788366354148.jpg"/&gt;&lt;p&gt;pnpm 12 has transitioned to a native Rust implementation, maintaining compatibility with pnpm 11 commands, flags, and formats. This update enhances startup and filesystem performance, particularly when using existing caches. Community feedback highlights the performance gains while noting some trade-offs in larger artifact sizes.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Rust</category>
      <category>JavaScript</category>
      <category>Web Development</category>
      <category>Node.js</category>
      <category>NPM</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 03 Sep 2026 11:23:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/pnpm-12-rust/?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>2026-09-03T11:23:00Z</dc:date>
      <dc:identifier>/news/2026/09/pnpm-12-rust/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Instrumentation at Scale: Having Your Performance Cake and Eating It Too</title>
      <link>https://www.infoq.com/presentations/instrumenting-scale/?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/instrumenting-scale/en/mediumimage/brian-martin-medium-1787812453109.jpg"/&gt;&lt;p&gt;Brian Martin discusses the real-world performance costs of metrics libraries and shares strategies for low-overhead, "fearless" instrumentation. Drawing from his work at IOP Systems, he explores atomic primitives, per-CPU sharding, lock-free histograms, and eBPF integration to help software architects and engineering leaders maintain full system visibility without sacrificing performance.&lt;/p&gt; &lt;i&gt;By Brian Martin&lt;/i&gt;</description>
      <category>QCon San Francisco 2025</category>
      <category>Performance &amp; Scalability</category>
      <category>Transcripts</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Thu, 03 Sep 2026 09:28:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/instrumenting-scale/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Brian Martin</dc:creator>
      <dc:date>2026-09-03T09:28:00Z</dc:date>
      <dc:identifier>/presentations/instrumenting-scale/en</dc:identifier>
    </item>
    <item>
      <title>Cohere’s Parse 5 Promises Efficient Multi-Modal Information Extraction from Complex Documents</title>
      <link>https://www.infoq.com/news/2026/09/cohere-multimodal-parse/?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;Cohere has launched Parse 5, a multimodal foundation model designed to extract structured data from complex enterprise documents. The 2.3-billion-parameter system converts visually rich PDFs into Markdown while providing bounding box coordinates for visual grounding. It has been evaluated against over 2,000 enterprise pages, achieving an average score of 79.2 in key performance areas.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Machine Learning</category>
      <category>Large language models</category>
      <category>OCR</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Thu, 03 Sep 2026 06:06:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/cohere-multimodal-parse/?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>2026-09-03T06:06:00Z</dc:date>
      <dc:identifier>/news/2026/09/cohere-multimodal-parse/en</dc:identifier>
    </item>
    <item>
      <title>Swiggy Uses 350+ Features and Multi-Task MLP to Predict Customer Lifetime Value</title>
      <link>https://www.infoq.com/news/2026/09/swiggy-pltv-multitask-mlp/?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/swiggy-pltv-multitask-mlp/en/headerimage/generatedHeaderImage-1787507980584.jpg"/&gt;&lt;p&gt;Swiggy developed an in-house predicted lifetime value model using more than 350 pre order features and a multi task MLP for Food and Instamart. Adding order count as an auxiliary task reduced model parameters by 63% while improving predictive performance. The pLTV signal is used with Google Target ROAS bidding to optimize customer acquisition.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Machine Learning</category>
      <category>Online Learning</category>
      <category>Modeling</category>
      <category>Software Engineering</category>
      <category>Customers &amp; Requirements</category>
      <category>Acquisition</category>
      <category>Neural Networks</category>
      <category>Advertising</category>
      <category>Continuous Delivery</category>
      <category>Google</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Wed, 02 Sep 2026 13:55:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/swiggy-pltv-multitask-mlp/?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>2026-09-02T13:55:00Z</dc:date>
      <dc:identifier>/news/2026/09/swiggy-pltv-multitask-mlp/en</dc:identifier>
    </item>
    <item>
      <title>OpenAI Details GPT-Live’s Architecture for Continuous Stateful Voice Interaction</title>
      <link>https://www.infoq.com/news/2026/09/openai-gpt-live/?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/openai-gpt-live/en/headerimage/OpenAI-gpt-live-system-architecture-header-1788176199388.jpeg"/&gt;&lt;p&gt;OpenAI recently published an engineering account of GPT-Live. It described how they designed the system to maintain continuous voice interaction while separating latency-sensitive media processing from broader application work. The live path contains the media pipeline and inference loop, while delegation, tool use, persistence, and other application logic run behind an asynchronous RPC boundary.&lt;/p&gt; &lt;i&gt;By Eran Stiller&lt;/i&gt;</description>
      <category>Voice-enabled UI</category>
      <category>WebRTC</category>
      <category>ChatGPT</category>
      <category>OpenAI</category>
      <category>RPC</category>
      <category>Streaming</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 02 Sep 2026 12:20:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/openai-gpt-live/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Eran Stiller</dc:creator>
      <dc:date>2026-09-02T12:20:00Z</dc:date>
      <dc:identifier>/news/2026/09/openai-gpt-live/en</dc:identifier>
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