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<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/"><channel><title>Agnify Blog</title><link>https://blog.agnify.ai/</link><description>How we turn camera feeds into operational intelligence.</description><language>en</language><item><title>GPT-6 Astra takes the lead on grounded video QA</title><link>https://blog.agnify.ai/gpt-6-astra-grounded-video-qa/</link><guid>https://blog.agnify.ai/gpt-6-astra-grounded-video-qa/</guid><pubDate>Wed, 30 Sep 2026 00:00:00 +0000</pubDate><dc:creator>Anton Gritsay</dc:creator><category>Engineering</category><description>A small change to how pipeline stages refer to objects put GPT-6 Astra clearly ahead of Gemini 3.7 Flash, at 28 times the cost.</description></item><item><title>Detailed comparison of Gemini and Qwen on complex visual grounding tasks</title><link>https://blog.agnify.ai/gemini-vs-qwen-grounded-video-qa/</link><guid>https://blog.agnify.ai/gemini-vs-qwen-grounded-video-qa/</guid><pubDate>Mon, 14 Sep 2026 00:00:00 +0000</pubDate><dc:creator>Theo Chervinskii</dc:creator><category>Engineering</category><description>Gemini is marginally better at video reasoning, but both are on par in grounding. We show that pipeline design still matters the most.</description></item><item><title>Qwen3.8-27B is now live at Agnify.ai</title><link>https://blog.agnify.ai/qwen3-8-27b/</link><guid>https://blog.agnify.ai/qwen3-8-27b/</guid><pubDate>Mon, 17 Aug 2026 00:00:00 +0000</pubDate><dc:creator>Argo Saakyan</dc:creator><category>Engineering</category><description>The benchmark tables, what the visual gains actually average out to, and the latency we paid for them on our own hardware.</description></item><item><title>D-FINE-seg adds semantic segmentation: a DETR model benchmarked against YOLO26 and RF-DETR</title><link>https://blog.agnify.ai/d-fine-seg-semantic-segmentation/</link><guid>https://blog.agnify.ai/d-fine-seg-semantic-segmentation/</guid><pubDate>Fri, 17 Jul 2026 00:00:00 +0000</pubDate><dc:creator>Argo Saakyan</dc:creator><category>Engineering</category><description>D-FINE-seg now supports three tasks on the same DETR-family architecture — and on Cityscapes it benchmarks better than YOLO26 and RF-DETR.</description></item><item><title>Adding a new video detector, using fire as the example</title><link>https://blog.agnify.ai/fire-detection/</link><guid>https://blog.agnify.ai/fire-detection/</guid><pubDate>Wed, 10 Jun 2026 00:00:00 +0000</pubDate><dc:creator>Argo Saakyan</dc:creator><category>Engineering</category><description>Argo stands up a fire detector on Agnify end to end and runs it live - a quick look at how little it takes to add a new video detector.</description></item></channel></rss>
