

The Inventors of Deep Research
While “LLM-powered Search” is as old as Perplexity and SearchGPT, and open source projects like GPTResearcher and clones like OpenDeepResearch exist, the difference with “Deep Research” products is they are both “agentic” (loosely meaning that an LLM decides the next step in a workflow, usually involving tools) and…
We score an episode from what we can actually measure — its reach and engagement, what listeners say about it, and what it covers. We don't have those signals for this one yet, so it doesn't get a number.
Buzzmeter says it's buzzing across platforms — the Hive Vote says whether the people who actually listened liked it.
Rate this episode
Add your vote to the Hive — listeners rate every episode after they finish.
- No reviews yet — be the first.
More from Latent Space: The AI Engineer Podcast
See all episodes →
🔬Scaling Past Informal AI - Carina Hong, Axiom Math

🔬Bio-security is an AI Arms Race - Eric Nguyen (CEO, Radical Numerics)

Runway’s WorldPrompt and the Engineering of Real-Time Worlds
Similar episodes from other shows
More like Latent Space: The AI Engineer Podcast →
How Gemini 3 Changes the AI Race

Inside Deep Research with Isa Fulford: Building the Future of AI Agents

GPT-5 and Agents Breakdown – w/ OpenAI Researchers Isa Fulford & Christina Kim

OpenAI Chief Economist Ronnie Chatterji: measuring the greatest technology of our time
One great episode in your inbox, daily — free.
One email a day, unsubscribe anytime. No spam, ever.