Google has officially rolled out Gemini 3.0, and in this episode we take a casual but focused look at what’s actually improved. Matt and Mike break down the model’s major upgrades, run through how Gemini performed in independent audits, and compare those results to competing LLMs. We also discuss what these improvements mean for day-to-day developer workflows, where Gemini still falls short, and whether Google’s latest release finally puts them back in the race for AI dominance. Please note that this is a casual conversation and look through some of the release materials, it is not comprehensive news coverage.
Google has released Gemini 3.0, and in this episode we talk through what’s actually improved. We cover how the model performed in recent audits, how it compares to competing LLMs, and what these upgrades mean for developers in real-world use. Casual coverage, honest impressions, and a look at where Gemini goes from here.
Google’s Official Post: Gemini 3: Introducing the latest Gemini AI model from Google
