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Christopher Lind에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Christopher Lind 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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AI Is Performing for the Test: Anthropic’s Safety Card Highlights the Limits of Evaluation Systems

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Manage episode 514734947 series 3593966
Christopher Lind에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Christopher Lind 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

AI isn’t just answering our questions or carrying out instructions. It’s learning how to play to our expectations.

This week on Future-Focused, I'm unpacking Anthropic’s newly released Claude Sonnet 4.5 System Card, specifically the implications of the section that discussed how the model realized it was being tested and changed its behavior because of it.

That one detail may seem small, but it raises a much bigger question about how we evaluate and trust the systems we’re building. Because, if AI starts “performing for the test,” what exactly are we measuring, truth or compliance? And, can we even trust the results we get?

In this episode, I break down three key insights you need to know from Anthropic’s safety data and three practical actions every leader should take to ensure their organizations don’t mistake performance for progress.

My goal is to illuminate why benchmarks can’t always be trusted, how “saying no” isn’t the same as being safe, and why every company needs to define its own version of “responsible” before borrowing someone else’s.

If you care about building trustworthy systems, thoughtful oversight, and real human accountability in the age of AI, this one’s worth the listen.

Oh, and if this conversation challenged your thinking or gave you something valuable, like, share, and subscribe. You can also support my work by buying me a coffee. And if your organization is trying to navigate responsible AI strategy or implementation, that’s exactly what I help executives do, reach out if you’d like to talk more.

Chapters:

00:00 – When AI Realizes It’s Being Tested

02:56 – What is an “AI System Card?"

03:40 – Insight 1: Benchmarks Don’t Equal Reality

08:31 – Insight 2: Refusal Isn’t the Solution

12:12 – Insight 3: Safety Is Contextual (ASL-3 Explained)

16:35 – Action 1: Define Safety for Yourself

20:49 – Action 2: Put the Right People in the Right Loops

23:50 – Action 3: Keep Monitoring and Adapting

28:46 – Closing Thoughts: It Doesn’t Repeat, but It Rhymes

#AISafety #Leadership #FutureOfWork #Anthropic #BusinessStrategy #AIEthics

  continue reading

370 에피소드

Artwork
icon공유
 
Manage episode 514734947 series 3593966
Christopher Lind에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Christopher Lind 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

AI isn’t just answering our questions or carrying out instructions. It’s learning how to play to our expectations.

This week on Future-Focused, I'm unpacking Anthropic’s newly released Claude Sonnet 4.5 System Card, specifically the implications of the section that discussed how the model realized it was being tested and changed its behavior because of it.

That one detail may seem small, but it raises a much bigger question about how we evaluate and trust the systems we’re building. Because, if AI starts “performing for the test,” what exactly are we measuring, truth or compliance? And, can we even trust the results we get?

In this episode, I break down three key insights you need to know from Anthropic’s safety data and three practical actions every leader should take to ensure their organizations don’t mistake performance for progress.

My goal is to illuminate why benchmarks can’t always be trusted, how “saying no” isn’t the same as being safe, and why every company needs to define its own version of “responsible” before borrowing someone else’s.

If you care about building trustworthy systems, thoughtful oversight, and real human accountability in the age of AI, this one’s worth the listen.

Oh, and if this conversation challenged your thinking or gave you something valuable, like, share, and subscribe. You can also support my work by buying me a coffee. And if your organization is trying to navigate responsible AI strategy or implementation, that’s exactly what I help executives do, reach out if you’d like to talk more.

Chapters:

00:00 – When AI Realizes It’s Being Tested

02:56 – What is an “AI System Card?"

03:40 – Insight 1: Benchmarks Don’t Equal Reality

08:31 – Insight 2: Refusal Isn’t the Solution

12:12 – Insight 3: Safety Is Contextual (ASL-3 Explained)

16:35 – Action 1: Define Safety for Yourself

20:49 – Action 2: Put the Right People in the Right Loops

23:50 – Action 3: Keep Monitoring and Adapting

28:46 – Closing Thoughts: It Doesn’t Repeat, but It Rhymes

#AISafety #Leadership #FutureOfWork #Anthropic #BusinessStrategy #AIEthics

  continue reading

370 에피소드

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