technologyNov 22, 20251:00:13pending
Episode 63: Why Gemini 3 Will Change How You Build AI Agents with Ravin Kumar (Google DeepMind)
Get every episode summarized
Each time Vanishing Gradients publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
About this episode
Gemini 3 is a few days old and the massive leap in performance and model reasoning has big implications for builders: as models begin to self-heal, builders are literally tearing out the functionality they built just months ago... ripping out the defensive coding and reshipping their agent harnesses entirely.
Ravin Kumar (Google DeepMind) joins Hugo to breaks down exactly why the rapid evolution of models like Gemini 3 is changing how we build software. They detail the shift from simple tool calling to building reliable "Agent Harnesses", explore the architectural tradeoffs between deterministic workflows and high-agency systems, the nuance of preventing context rot in massive windows, and why proper evaluation infrastructure is the only way to manage the chaos of autonomous loops.
They talk through:
- The implications of models that can "self-heal" and fix their own code
- The two cultures of agents: LLM workflows with a few tools versus when you should unleash high-agency, autonomous systems.
- Inside NotebookLM: moving from prototypes to viral production features like Audio Overviews
- Why Needle in a Haystack benchmarks often fail to predict real-world performance
- How to build agent harnesses that turn model capabilities into product velocity
- The shift from measuring latency to managing time-to-compute for reasoning tasks
LINKS
From Context Engineering to AI Agent Harnesses: The New Software Discipline, a podcast Hugo did with Lance Martin, LangChain (https://high-signal.delphina.ai/episode/context-engineering-to-ai-agent-harnesses-the-new-software-discipline)
Context Rot: How Increasing Input Tokens Impacts LLM Performance (https://research.trychroma.com/context-rot)
Effective context engineering for AI agents by Anthropic (https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents)
Upcoming Events on Luma (https://lu.ma/calendar/cal-8ImWFDQ3IEIxNWk)
Watch the podcast video on YouTube (https://youtu.be/CloimQsQuJM)
Join the final cohort of our Building AI Applications course starting Jan 12, 2026 (https://maven.com/hugo-stefan/building-ai-apps-ds-and-swe-from-first-principles?promoCode=vgrav): https://maven.com/hugo-stefan/building-ai-apps-ds-and-swe-from-first-principles?promoCode=vgrav
Get full access to Vanishing Gradients at hugobowne.substack.com/subscribe
Ravin Kumar (Google DeepMind) joins Hugo to breaks down exactly why the rapid evolution of models like Gemini 3 is changing how we build software. They detail the shift from simple tool calling to building reliable "Agent Harnesses", explore the architectural tradeoffs between deterministic workflows and high-agency systems, the nuance of preventing context rot in massive windows, and why proper evaluation infrastructure is the only way to manage the chaos of autonomous loops.
They talk through:
- The implications of models that can "self-heal" and fix their own code
- The two cultures of agents: LLM workflows with a few tools versus when you should unleash high-agency, autonomous systems.
- Inside NotebookLM: moving from prototypes to viral production features like Audio Overviews
- Why Needle in a Haystack benchmarks often fail to predict real-world performance
- How to build agent harnesses that turn model capabilities into product velocity
- The shift from measuring latency to managing time-to-compute for reasoning tasks
LINKS
From Context Engineering to AI Agent Harnesses: The New Software Discipline, a podcast Hugo did with Lance Martin, LangChain (https://high-signal.delphina.ai/episode/context-engineering-to-ai-agent-harnesses-the-new-software-discipline)
Context Rot: How Increasing Input Tokens Impacts LLM Performance (https://research.trychroma.com/context-rot)
Effective context engineering for AI agents by Anthropic (https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents)
Upcoming Events on Luma (https://lu.ma/calendar/cal-8ImWFDQ3IEIxNWk)
Watch the podcast video on YouTube (https://youtu.be/CloimQsQuJM)
Join the final cohort of our Building AI Applications course starting Jan 12, 2026 (https://maven.com/hugo-stefan/building-ai-apps-ds-and-swe-from-first-principles?promoCode=vgrav): https://maven.com/hugo-stefan/building-ai-apps-ds-and-swe-from-first-principles?promoCode=vgrav
Get full access to Vanishing Gradients at hugobowne.substack.com/subscribe
Get every episode summarized
Each time Vanishing Gradients publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from Vanishing Gradients
How to Build a Coding Agent with Nico (Amp Code)
Vanishing Gradients
Sep 15, 20261:52:37failed
The Rise of the AI Scientist
Vanishing Gradients
Sep 4, 20261:10:55failed
If Developers Build on Chinese Open-Weight Models, Who Leads AI?
Vanishing Gradients
Aug 3, 20261:18:16pending
Four Months Inside a Production AI Agent: What Real Users Changed
Vanishing Gradients
Jul 25, 20261:04:39pending