# 🎙️ EP 298: OpenAI "Jalapeño" Custom Chip & Gemini 3.5 Flash Ships Built-In Computer Use

Page: https://stenobird.com/podcast/ai-fire-daily-7354020/ep-298-openai-jalape-o-custom-chip-gemini-3-5-flash-ships-built-in-computer-use
Text version: https://stenobird.com/podcast/ai-fire-daily-7354020/ep-298-openai-jalape-o-custom-chip-gemini-3-5-flash-ships-built-in-computer-use.md
Podcast: [AI Fire Daily](https://stenobird.com/podcast/ai-fire-daily-7354020)
Published: 2026-06-25T03:37:07+00:00
Episode link: https://rss.com/podcasts/ai-fire-daily/2942285
Audio file: https://content.rss.com/episodes/331987/2942285/ai-fire-daily/2026_06_25_03_36_46_53f664dc-c787-4da3-8cb9-8cc60c27e270.mp3
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Duration seconds: 1282

## Resource

OpenAI is officially breaking away from its total reliance on standard Nvidia hardware by unveiling its very first custom-designed AI inference processor, developed alongside Broadcom. At the exact same time, Google has struck back in the agent race by natively baking advanced "computer use" capabilities right into its mainstream Gemini 3.5 Flash model. We’ll talk about: OpenAI pulling back the curtain on "Jalapeño," a custom Broadcom-manufactured inference chip designed with the help of OpenAI's own AI models. Google Gemini 3.5 Flash shipping with native, built-in computer use and advanced enterprise guardrails to block indirect prompt injections. Anthropic publicly accusing Alibaba of a massive, brazen data-scraping attack using 25,000 fake accounts to train its own models. The growing panic over corporate AI spending as companies try to cut back on employee usage after token costs started piling up fast. Keywords: OpenAI custom chip, Gemini 3.5 Flash, computer use, token costs, Figma AI. Links: Newsletter: Sign up for our FREE daily newsletter. Our Community: Get 3-level AI tutorials across industries. Join AI Fire Academy: 700+ advanced AI workflows ($14,500+ Value) Our Socials: Facebook Group: Join 294K+ AI builders X (Twitter): Follow us for daily AI drops YouTube: Watch AI walkthroughs & tutorials

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