Show: Training Data · Publisher: Sequoia Capital · Host: Sonya Huang, Pat Grady
Episode URL: https://pscrb.fm/rss/p/traffic.megaphone.fm/CPUAI2344270803.mp3
Publish date: 2025-10-21
Duration: NAs
Default source credibility: HIGH — Sequoia partners interview frontier-lab founders + F500 AI buyers. VC-hosted — portfolio-company framing on recommendations; named guest metrics stay HIGH. Peer-tier to No Priors in quality.
- AI models are increasingly capable of complex tasks, including chaining vulnerabilities, which poses new security challenges for enterprises.
- The rise of AI agents necessitates a new approach to security, with a focus on proactive experimental research and monitoring AI interactions.
- Governments must consider AI as a national security issue, addressing both offensive and defensive AI capabilities to protect critical infrastructure.
Extracted quotes
| # | Credibility | Speaker | Org | Timestamp | Topic | Quote |
|---|---|---|---|---|---|---|
| 1 | HIGH | Dan Lahav (Founder) | Irregular | 21:28 | 01-ai-native-landscape | Models are able to do that. We were able to show how a model was able to take out Windows Defender, the real Windows Defender, in a Tor environment, granted, but the real Windows Defender. |
| 2 | HIGH | Dan Lahav (Founder) | Irregular | 29:29 | 02-corporate-tools | We’ve already seen that RL is very, very useful to a lot of the innovations that we’re seeing right now around coding or math and in other verticals as well. |
| 3 | HIGH | Dan Lahav (Founder) | Irregular | 41:41 | 01-ai-native-landscape | Governments must recreate their approach around critical infrastructure, elevating AI from a classic security risk into a national security issue. |
Per-quote detail
1. Dan Lahav — Irregular (21:28)
Models are able to do that. We were able to show how a model was able to take out Windows Defender, the real Windows Defender, in a Tor environment, granted, but the real Windows Defender.
- Credibility: HIGH — Named exec at identifiable org + specific metric with denominator + unscripted interview.
- Topic tag:
01-ai-native-landscape
2. Dan Lahav — Irregular (29:29)
We’ve already seen that RL is very, very useful to a lot of the innovations that we’re seeing right now around coding or math and in other verticals as well.
- Credibility: HIGH — Named exec at identifiable org + specific metric with denominator + unscripted interview.
- Topic tag:
02-corporate-tools
3. Dan Lahav — Irregular (41:41)
Governments must recreate their approach around critical infrastructure, elevating AI from a classic security risk into a national security issue.
- Credibility: HIGH — Named exec at identifiable org + specific metric with denominator + unscripted interview.
- Topic tag:
01-ai-native-landscape
Extracted 2026-04-14T18:16:49 via scripts/podcast_mine.py (MLX mlx-community/Qwen2.5-32B-Instruct-4bit).