This is a long-form podcast transcript, likely from the "How I AI" series, covering two episodes:
Episode 1:
- The guest talks about their experience with Google's AI tools, specifically Gemini 3.5 Flash and Antigravity 2.0.
- They discuss how these tools are playing catch-up to other leading AI models like Claude Code and Codex.
- The guest highlights the advantages of Gemini 3.5 Flash, such as its speed and multimodal capabilities.
- They also criticize Google's IDE, Antigravity 2.0, for lacking innovative features and feeling like a "copycat" of other tools.
Episode 2:
- The host breaks down the biggest launches from Google I/O 2026, including Gemini 3.5 Flash, Antigravity 2.0, AI Studio, Omni, Flow, Stitch, and Pomelli.
- They test these tools live and share what actually works, as well as where Google is catching up or pulling ahead of other AI models.
- The host criticizes Google's tendency to announce features that aren't ready yet, which can lead to lost trust from users.
Some key takeaways from the episodes include:
- Gemini 3.5 Flash has shown promising results in coding and multimodal tasks, making it a strong contender in the AI landscape.
- Antigravity 2.0 is playing catch-up with other leading AI models, but its speed advantage could make it attractive for well-scoped tasks that need to ship fast.
- Google's tendency to announce features before they're ready can be frustrating for users and lead to lost trust in their roadmap.
Overall, these episodes provide an in-depth look at the latest developments in AI tools from Google I/O 2026.
