Open Source AI was the Path Forward - spyglass.org
<a href="https://news.google.com/rss/articles/CBMiaEFVX3lxTFA1NGlZZTFPd2VBb3EzRmFVN2x2NmpnUFVvOUU2ZE5tal9adGRib3RBWWEtVTQ5aURpWlowTzVPcFA5bWp4Tnhoek1UR2tEVjBWcTRYRjNrUWI2ODBhb3Y5UjEyR1pjOFdR?oc=5" target="_blank">Open Source AI was the Path Forward</a> <font color="#6f6f6f">spyglass.org</font>
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<p>On March 31, 2026, the <code>axios</code> npm package was compromised via a hijacked maintainer account. Two versions, <code>1.14.1</code> and <code>0.30.4</code>, were weaponised with a malicious phantom dependency called <code>plain-crypto-js</code>. It functions as a Remote Access Trojan (RAT) that executes during the <code>postinstall</code> phase and silently exfiltrates environment variables: AWS keys, GitHub tokens, database credentials, and anything present in your <code>.env</code> at install time.</p> <p>The attack window was approximately 3 hours (00:21 to 03:29 UTC) before the packages were unpublished. A single CI run during that window is sufficient exposure.<br> This post documents the forensic audit and remediation steps performed on a Next.js production stack immediatel
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I open sourced a production MLOps pipeline. Here is what it took to get it to PyPI and Hugging Face in one day.
<p>I have been running ML pipelines in production for few years. Tens of millions of predictions a day, real money on the line, no tolerance for guesswork.</p> <p>PulseFlow started as something I built for myself. A reference architecture I kept recreating from scratch at every company because nothing open source matched what production actually demands.</p> <p>Today I packaged it, published it to PyPI, and put a live demo on Hugging Face. Here is what it covers and how to run it in under ten minutes.</p> <h2> What PulseFlow is </h2> <p>A production-grade MLOps pipeline you can clone and run immediately. Not a tutorial. Not a toy dataset. A real stack.<br> </p> <div class="highlight js-code-highlight"> <pre class="highlight shell"><code>pip <span class="nb">install </span>pulseflow-mlops <
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Axios Hijack Post-Mortem: How to Audit, Pin, and Automate a Defense
<p>On March 31, 2026, the <code>axios</code> npm package was compromised via a hijacked maintainer account. Two versions, <code>1.14.1</code> and <code>0.30.4</code>, were weaponised with a malicious phantom dependency called <code>plain-crypto-js</code>. It functions as a Remote Access Trojan (RAT) that executes during the <code>postinstall</code> phase and silently exfiltrates environment variables: AWS keys, GitHub tokens, database credentials, and anything present in your <code>.env</code> at install time.</p> <p>The attack window was approximately 3 hours (00:21 to 03:29 UTC) before the packages were unpublished. A single CI run during that window is sufficient exposure.<br> This post documents the forensic audit and remediation steps performed on a Next.js production stack immediatel
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