In this episode of This Week in NET, host João Tomé is joined by Michelle Chen from Cloudflare’s AI product team to discuss the rise of open models, the launch of Kimi 2.5 on Workers AI, and why enterprises are rethinking the cost of proprietary AI.
Michelle explains how Cloudflare’s security team used Kimi to scan internal codebases and found more than 40 confirmed security issues — at a fraction of the cost of proprietary models. The conversation explores why open models are rapidly becoming competitive with closed alternatives, how Cloudflare builds efficiency with custom inference engines and prefix caching, and what the Replicate acquisition means for bring-your-own-model workflows on Workers AI.
Later in the episode, we also hear from Dina Kozlov about Dynamic Workers and Code Mode (now in open beta), followed by another Women of Cloudflare segment with Alexandra Messe Rodriguez.
⏱️ Timestamps
00:00 — Cold open: Kimi finds 40+ security issues
00:30 — Intro and Cloudflare blog highlights
03:06 — Michelle Chen joins the show
05:44 — The rise of open models and Kimi 2.5
07:14 — Finding 40+ security issues with AI
10:40 — The real cost of running AI agents
16:26 — Making inference efficient: caching, kernels, and architecture
19:42 — Replicate and bring-your-own-model on Workers AI
25:08 — Favorite AI use case: fashion e-commerce images
29:05 — Dina Kozlov: Dynamic Workers and Code Mode
33:13 — Women of Cloudflare: Alexandra Messe Rodriguez
What is This Week in NET?
This Week in NET is Cloudflare’s weekly roundup exploring the Internet’s past, present, and future. Hosted by João Tomé with expert guests, it shares insights that matter to developers, businesses, and Internet enthusiasts alike.
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Read our blog posts at blog.cloudflare.com
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