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SS

Sander Schulhoff

06/19/25

@ Lenny's Podcast

Prompt injection involves manipulating AI to produce harmful outputs, which remains a significant challenge in AI security.

Video

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AI prompt engineering in 2025: What works and what doesn’t | Sander Schulhoff

@ Lenny's Podcast

AI prompt engineering in 2025: What works and what doesn’t | Sander Schulhoff

06/19/25

Related Takeaways

SS

Sander Schulhoff

06/19/25

@ Lenny's Podcast

Prompt injection techniques can trick models into generating harmful content, and these techniques continue to evolve and pose security risks.

GH

Geoffrey Hinton

04/26/25

@ CBS Mornings

Bad actors are already using AI for harmful purposes, such as manipulating elections and creating autonomous lethal weapons, which poses a significant threat.

BJ

Bihan Jiang

02/20/25

@ LangChain

We've built in security measures to prevent prompt injections and ensure that AI agents behave as expected, especially in regulated environments.

DH

Demis Hassabis

04/25/25

@ Queens' College Cambridge

However, AI is a dual-purpose technology that can also be misused by bad actors, creating challenges in ensuring that beneficial applications are accessible while restricting harmful uses.

SS

Sander Schulhoff

06/19/25

@ Lenny's Podcast

Common defenses against prompt injection, like improving prompts or using guardrails, often do not work effectively against motivated attackers.

JB

Joe Benton

03/18/25

@ Anthropic

Next-generation AI systems should have robust mitigations in place to prevent them from providing harmful information, especially in high-risk domains like cybercrime and weapon development.

AW

Alexandr Wang

11/14/23

@ Accel

AI will be used by malicious actors to conduct harmful activities, raising concerns about cybersecurity and bioweapons.

PH

Peter H. Diamandis Cast

06/04/25

@ Peter H. Diamandis

The development of AI safety measures is crucial as powerful AI could pose risks related to chemical, biological, and nuclear weapons.

A

Anthropic Cast

03/18/25

@ Anthropic

Key threat models include AI systems copying their weights, deploying themselves unmonitored, and sabotaging AI safety research.