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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>Bun Rewrites 535K Lines of Zig into Rust in Four Months, Eliminates Numerous Memory Leaks</title>
      <link>https://www.infoq.com/news/2026/09/bun-AI-rewrite-zig-rust-4-months/?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/bun-AI-rewrite-zig-rust-4-months/en/headerimage/generatedHeaderImage-1789932023289.jpg"/&gt;&lt;p&gt;Bun creator Jarred Sumner recently announced that Bun, the JavaScript/TypeScript runtime, bundler and package manager has been rewritten from Zig to Rust. The rewrite seeks to eliminate recurrent memory safety vulnerabilities via Rust’s borrow checker. The AI-assisted rewrite was released after 4 months of work instead of the estimated one year.&lt;/p&gt; &lt;i&gt;By Bruno Couriol&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>Bundlers</category>
      <category>AI Assisted Coding</category>
      <category>Rust</category>
      <category>System Programming</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sun, 20 Sep 2026 19:51:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/bun-AI-rewrite-zig-rust-4-months/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Bruno Couriol</dc:creator>
      <dc:date>2026-09-20T19:51:00Z</dc:date>
      <dc:identifier>/news/2026/09/bun-AI-rewrite-zig-rust-4-months/en</dc:identifier>
    </item>
    <item>
      <title>Alibaba Open Sources OpenCodeReview for AI-Assisted Code Review</title>
      <link>https://www.infoq.com/news/2026/09/alibaba-opencodereview/?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/alibaba-opencodereview/en/headerimage/generatedHeaderImage-1789473748016.jpg"/&gt;&lt;p&gt;Alibaba recently open-sourced OpenCodeReview, an AI-powered code review CLI that combines deterministic pipelines for file selection, bundling, and rule matching with an LLM agent for dynamic code analysis. It supports built-in checks for issues such as null-pointer exceptions, thread safety, XSS, and SQL injection.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Agentic AI Architecture</category>
      <category>Static Analysis</category>
      <category>Large language models</category>
      <category>Agents</category>
      <category>Code Reviews</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sun, 20 Sep 2026 11:57:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/alibaba-opencodereview/?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>2026-09-20T11:57:00Z</dc:date>
      <dc:identifier>/news/2026/09/alibaba-opencodereview/en</dc:identifier>
    </item>
    <item>
      <title>Google Agent Development Kit for Kotlin Reaches Feature Parity with Python, Supports On-Device AI</title>
      <link>https://www.infoq.com/news/2026/09/google-adk-1-0-released/?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/google-adk-1-0-released/en/headerimage/kotlin-2-1-released-1789894962554.jpeg"/&gt;&lt;p&gt;Google has released the Agent Development Kit (ADK) for Kotlin 1.0, a production-ready framework for building AI agents across Kotlin, Android, and JVM/server applications. It brings Kotlin to feature parity with Google's ADK for Python and Java, while adding Android-specific capabilities for on-device and hybrid AI.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Open Source</category>
      <category>Android</category>
      <category>Google ADK for Kotlin</category>
      <category>Large language models</category>
      <category>Google</category>
      <category>Mobile</category>
      <category>Agents</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sun, 20 Sep 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/google-adk-1-0-released/?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>2026-09-20T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/google-adk-1-0-released/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Measures Origin TLS Preferences, Cutting Handshake Retries from 52% to 3.7%</title>
      <link>https://www.infoq.com/news/2026/09/cloudflare-automatic-key-exchang/?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/cloudflare-automatic-key-exchang/en/headerimage/generatedHeaderImage-1789633148686.jpg"/&gt;&lt;p&gt;Cloudflare has replaced its static X25519 guess for origin TLS handshakes with per-origin measurement. HelloRetryRequests on scanned origins fell from roughly 52% to 3.7%, removing over 150 ms from p90 latency. Post-quantum connections completing in one round trip rose from 0% to 99.2%, though only 12.8% of origins support it.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Cloudflare</category>
      <category>Cryptography</category>
      <category>Performance</category>
      <category>Infrastructure</category>
      <category>Networking</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sun, 20 Sep 2026 08:15:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/cloudflare-automatic-key-exchang/?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>2026-09-20T08:15:00Z</dc:date>
      <dc:identifier>/news/2026/09/cloudflare-automatic-key-exchang/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Context Engineering at LinkedIn: How We Built an Organizational Context Layer for AI Agents with MCP</title>
      <link>https://www.infoq.com/presentations/linkedin-context-engineering/?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/linkedin-context-engineering/en/mediumimage/ajay-prakash-medium-1789021803159.jpg"/&gt;&lt;p&gt;Ajay Prakash discusses how LinkedIn overcomes AI agent limitations in large codebases. He explains Contextual Agent Playbooks and Tools - built on Model Context Protocol (MCP) - which serves procedural memory, code search, and runbooks directly to coding agents. Prakash shares architectural details and operational guardrails that deliver a 20% productivity boost with zero loss in reliability.&lt;/p&gt; &lt;i&gt;By Ajay Prakash&lt;/i&gt;</description>
      <category>LinkedIn</category>
      <category>Agents</category>
      <category>QCon AI Boston 2026</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Productivity</category>
      <category>AI Architecture</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Sat, 19 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/linkedin-context-engineering/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Ajay Prakash</dc:creator>
      <dc:date>2026-09-19T11:00:00Z</dc:date>
      <dc:identifier>/presentations/linkedin-context-engineering/en</dc:identifier>
    </item>
    <item>
      <title>AWS Lambda Pushes Serverless toward Long-Running Workloads</title>
      <link>https://www.infoq.com/news/2026/09/lambda-90-minute-timeout/?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/lambda-90-minute-timeout/en/headerimage/generatedHeaderImage-1789110995851.jpg"/&gt;&lt;p&gt;AWS Lambda now allows functions running on Lambda Managed Instances to run for up to 90 minutes, six times longer than the previous 15-minute limit, further blurring the line between a Lambda invocation and a traditional server. The limit remains unchanged for traditional synchronous requests.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Serverless</category>
      <category>AWS Lambda</category>
      <category>Cloud</category>
      <category>AWS</category>
      <category>Event Driven Architecture</category>
      <category>Cloud Computing</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sat, 19 Sep 2026 09:11:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/lambda-90-minute-timeout/?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>2026-09-19T09:11:00Z</dc:date>
      <dc:identifier>/news/2026/09/lambda-90-minute-timeout/en</dc:identifier>
    </item>
    <item>
      <title>SolidStart 2: Replaces Vinxi with a Vite 8 and Enters Maintenance as Its Role Winds Down</title>
      <link>https://www.infoq.com/news/2026/09/solid-start-v2/?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/solid-start-v2/en/headerimage/generatedHeaderImage-1789748711669.jpg"/&gt;&lt;p&gt;SolidStart, a full-stack meta-framework based on SolidJS, has transitioned to version 2.0, improving compatibility with Vite's Environment API. This release modernizes the framework, enhancing CSS handling and integrating better with tools like Tailwind CSS and deployment services. Following this, SolidStart has been placed in maintenance mode as its capabilities are incorporated into Solid 2.0.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>Server-side rendering</category>
      <category>JavaScript</category>
      <category>TypeScript</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 19 Sep 2026 07:23:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/solid-start-v2/?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>2026-09-19T07:23:00Z</dc:date>
      <dc:identifier>/news/2026/09/solid-start-v2/en</dc:identifier>
    </item>
    <item>
      <title>MariaDB 13 Expands Oracle Compatibility and Improves Developer Experience and Observability</title>
      <link>https://www.infoq.com/news/2026/09/mariadb-13-released/?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/mariadb-13-released/en/headerimage/mediapipe-image-generator-1789754681972.jpeg"/&gt;&lt;p&gt;MariaDB Community Server 13.0 has reached General Availability (GA) and is now officially stable. This release introduces a range of new features, deprecations, and performance improvements, including expanded support for procedural SQL, new DML capabilities, and more.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>SQL</category>
      <category>MariaDB</category>
      <category>Columnar Databases</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 18 Sep 2026 19:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/mariadb-13-released/?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>2026-09-18T19:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/mariadb-13-released/en</dc:identifier>
    </item>
    <item>
      <title>DoorDash Uses Multi Agent LLMs to Clean up 60,000 Feature Flags</title>
      <link>https://www.infoq.com/news/2026/09/doordash-feature-flag-cleanup/?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/doordash-feature-flag-cleanup/en/headerimage/generatedHeaderImage-1788418529526.jpg"/&gt;&lt;p&gt;DoorDash built a multi-agent LLM system to automate stale feature flag cleanup across more than 60,000 flags and 623 repositories. The workflow combines live experimentation data through MCP, engineer approval, isolated Git worktrees, parallel agents, and automated validation. In an evaluation of 50 flags, 45 produced usable pull requests at an average of 13.8 minutes and $4.79 per cleanup.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Feature Injection</category>
      <category>A/B Testing</category>
      <category>Developer Experience</category>
      <category>Experiment Driven Development</category>
      <category>Static Analysis</category>
      <category>AI Assisted Coding</category>
      <category>Automation</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Productivity</category>
      <category>AI Architecture</category>
      <category>git</category>
      <category>AI Coding</category>
      <category>Large language models</category>
      <category>github</category>
      <category>Agents</category>
      <category>Feature Toggle</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 18 Sep 2026 13:50:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/doordash-feature-flag-cleanup/?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>2026-09-18T13:50:00Z</dc:date>
      <dc:identifier>/news/2026/09/doordash-feature-flag-cleanup/en</dc:identifier>
    </item>
    <item>
      <title>WSO2 Releases Agent Manager as Enterprises Look to Control Growing AI Agent Sprawl</title>
      <link>https://www.infoq.com/news/2026/09/ws02-agent-manager/?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/ws02-agent-manager/en/headerimage/generatedHeaderImage-1789125513190.jpg"/&gt;&lt;p&gt;WSO2 has announced the general availability of WSO2 Agent Manager, an open-source platform designed to provide centralized governance, identity management, security controls, and operational oversight for AI agents running across different models, frameworks, and deployment environments.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Agentic AI Architecture</category>
      <category>AIOps</category>
      <category>WS02 Stratos</category>
      <category>AI Development</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 18 Sep 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/ws02-agent-manager/?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>2026-09-18T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/ws02-agent-manager/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Complexity and Creativity in Software Engineering</title>
      <link>https://www.infoq.com/presentations/ai-software-engineering-complexity/?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-software-engineering-complexity/en/mediumimage/philip-mortimer-medium-1789021228203.jpeg"/&gt;&lt;p&gt;Phillip Mortimer discusses the shift toward write-only software driven by AI code generation. He explains why traditional pull requests are broken and shares how engineering leaders can manage complexity by decoupling intent from implementation, automating code reviews, and building self-healing architecture to unleash developer creativity across senior engineering and architecture teams.&lt;/p&gt; &lt;i&gt;By Phillip Mortimer&lt;/i&gt;</description>
      <category>QCon London 2026</category>
      <category>Testing</category>
      <category>AI Assisted Coding</category>
      <category>Management</category>
      <category>Code Quality</category>
      <category>Leadership</category>
      <category>Productivity</category>
      <category>Architecture</category>
      <category>Transcripts</category>
      <category>Culture &amp; Methods</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Fri, 18 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-software-engineering-complexity/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Phillip Mortimer</dc:creator>
      <dc:date>2026-09-18T11:00:00Z</dc:date>
      <dc:identifier>/presentations/ai-software-engineering-complexity/en</dc:identifier>
    </item>
    <item>
      <title>htmx 4.0: a Fetch-Based Rewrite, Built-In Morphing Swaps, and Explicit Attribute Inheritance</title>
      <link>https://www.infoq.com/news/2026/09/htmx-4-released/?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/htmx-4-released/en/headerimage/generatedHeaderImage-1789720463705.jpg"/&gt;&lt;p&gt;htmx 4 has been released, featuring a transition from XMLHttpRequest to the fetch() API, enhancing streaming capabilities. Key updates include built-in morphing swaps for DOM state preservation and an hx-partial tag for cleaner updates. Attribute inheritance is now explicit, with event names standardized. The library maintains focus on minimal JavaScript while remaining popular among frameworks.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>Server-side rendering</category>
      <category>HTML5</category>
      <category>JavaScript</category>
      <category>Node.js</category>
      <category>HTML</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 18 Sep 2026 09:32:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/htmx-4-released/?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>2026-09-18T09:32:00Z</dc:date>
      <dc:identifier>/news/2026/09/htmx-4-released/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: Signals and Levers: Building Thriving Engineering Organizations</title>
      <link>https://www.infoq.com/podcasts/building-thriving-engineering-organizations/?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/building-thriving-engineering-organizations/en/smallimage/engineering-culture-500-1788872636488.jpg"/&gt;&lt;p&gt;In this podcast Shane Hastie, Lead Editor for Culture &amp; Methods spoke to Elisabeth Hendrickson and Joel Tosi about systems thinking as a lens for software delivery, the cultural "levers" leaders and teams can pull to shape organizations, and building thriving, sustainable teams amid AI-driven change.&lt;/p&gt; &lt;i&gt;By Elisabeth Hendrickson, Joel Tosi&lt;/i&gt;</description>
      <category>Technical Debt</category>
      <category>Engineering Culture Podcast</category>
      <category>Teamwork</category>
      <category>Psychological Safety</category>
      <category>Leadership</category>
      <category>Culture &amp; Methods</category>
      <category>podcast</category>
      <pubDate>Fri, 18 Sep 2026 09:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/building-thriving-engineering-organizations/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Elisabeth Hendrickson, Joel Tosi</dc:creator>
      <dc:date>2026-09-18T09:05:00Z</dc:date>
      <dc:identifier>/podcasts/building-thriving-engineering-organizations/en</dc:identifier>
    </item>
    <item>
      <title>Article: Architecting Secure and Scalable Facial Verification Systems</title>
      <link>https://www.infoq.com/articles/secure-scalable-facial-verification/?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/secure-scalable-facial-verification/en/headerimage/secure-scalable-facial-verification-header-1789468796366.jpg"/&gt;&lt;p&gt;When three thousand employees verify at once, synchronous API calls collapse. This article presents a four-layer architecture for high-volume face verification: client-side filtering that cut cloud costs 30%, decoupled detection and verification enabling 10x scaling, risk-based dynamic thresholds, and zero-trust privacy with consent gates and automated data purging for GDPR and HIPAA.&lt;/p&gt; &lt;i&gt;By Praveen Kumar Gopalakrishnan&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Architecture</category>
      <category>Security</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Fri, 18 Sep 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/secure-scalable-facial-verification/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Praveen Kumar Gopalakrishnan</dc:creator>
      <dc:date>2026-09-18T09:00:00Z</dc:date>
      <dc:identifier>/articles/secure-scalable-facial-verification/en</dc:identifier>
    </item>
    <item>
      <title>OpenAI Introduces Triage Framework and Case Studies to Report Model Misalignment</title>
      <link>https://www.infoq.com/news/2026/09/openai-misalignment-framework/?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-misalignment-framework/en/headerimage/generatedHeaderImage-1789701944081.jpg"/&gt;&lt;p&gt;OpenAI has released a disclosure framework for model misalignment during its lifecycle. Employees can flag potential issues, prompting technical staff to label incidents. The initial case studies outline unexpected model behaviours, providing insights into deviations from expected parameters. Community reactions show both approval and scepticism regarding transparency and corporate narratives.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>AI Misalignment</category>
      <category>Frontier Model</category>
      <category>OpenAI</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 18 Sep 2026 05:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/openai-misalignment-framework/?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>2026-09-18T05:05:00Z</dc:date>
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