DSPy
product on 3 shows · 3 statements across 3 episodes · said 32 times in 13 episodes since 2024
Latent Space 24 
No Priors 6 
the Y Combinator Startup Podcast 2
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Latent Space 24No Priors 6the Y Combinator Startup Podcast 2
2026 2 mentions in 2 episodes 1 per episode
2025 12 mentions in 6 episodes 2 per episode
- [State of Research Funding] Beyond NSF, Slingshots, Open Frontiers — Andy Konwinski, Laude Institute
- Why RL Won — Kyle Corbitt, OpenPipe (acq. CoreWeave)
- Andrew Ng: Building Faster with AI · Y Combinator
- The Agent Network — Dharmesh Shah, Agent.ai + CTO of HubSpot
- [State of Context Engineering] Agentic RAG, Context Rot, MCP, Subagents — Nina Lopatina, Contextual
- ⚡️Composio: 10,000+ tools that evolve for Agents — Karan Vaidya and Soham Ganatra
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2024 18 mentions in 5 episodes 4 per episode
- No Priors Ep. 57 | With LangChain CEO and Co-Founder Harrison Chase
- The Ultimate Guide to Prompting - with Sander Schulhoff from LearnPrompting.org
- Production AI Engineering starts with Evals
- High Agency Pydantic over VC Backed Frameworks — with Jason Liu of Instructor
- [Paper Club] Who Validates the Validators? Aligning LLM-Judges with Humans (w/ Eugene Yan)
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every mention on every show, scene by scene, with the transcript →
3 statements about DSPy, every show
Corbitt: Prompt optimization methods like JEPA failed OpenPipe's agent benchmarks
“It didn't work on the problems we tried it on. It just didn't. It got like a minor boost over the sort of like more naive prompt we had and was just like, it was like, okay, Just kind of like our naive prompt with our model gets maybe like 50% on this benchmar…”
Schulhoff: Automated Prompt Optimization Fails on Open Generation Without Ground Truth
“One limitation, I guess, is that you really need ground truth labels, so it's harder, if not impossible currently, to optimize open generation tasks, so like Writing, writing newsletters, I suppose. It's harder to automatically optimize those”
Liu: DSPy excels at micro-tasks but fails at end-to-end business workflows
“I think something like DSPy can work because there are like very short term metrics to measure success, right? It is like, did you find the PII or like, did you write the multi-hop question the correct way? But in these like workflows that I've been managing, …”