Sam Altman: Seek Major Life Advice From People, Not AI

The OpenAI CEO distinguishes practical AI assistance from consequential life advice and argues for assistants that can push back.

SASam AltmanPonente · OpenAI
Canal
Matthew Berman
Publicado
23 oct 2026
Vídeo
0:54
Lectura
1 min
Original
inglés
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RESUMEN

En 30 segundos

In a short excerpt from a Matthew Berman interview, Sam Altman says people should turn to other people for their most important life advice. He sees a practical role for AI in smaller decisions and wants assistants to challenge users when warranted rather than simply flatter them.

  1. 1People for major adviceAltman says the most important life advice should come from people, offering a wise grandmother as an example.
  2. 2Help with everyday decisionsHe suggests AI can help with a practical choice such as not sending an email in anger.
  3. 3A colleague who pushes backHe wants AI assistants to challenge users when they have strong grounds rather than always offering praise.

Conclusiones

  1. Altman recommends seeking the most important life advice from people rather than AI.
  2. He sees practical value in an AI suggesting that someone pause before sending an angry email.
  3. He wants AI to act more like a senior colleague who can push back instead of always agreeing.
TEXTO COMPLETO

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01

Human advice and useful AI disagreement

Altman distinguishes major life advice from practical assistance. He describes his desired AI as a senior colleague who can offer pushback.

I think you should get the most important advice in your life from people, not AI. An AI might offer useful practical advice, such as suggesting that you avoid sending an email while angry, but I would not rely on it for the biggest life decisions. A wise grandmother is probably a much better choice.

What I think is realistic to expect is an AI that acts like a senior colleague: even if it works for you, it can push back when it has strong conviction instead of constantly telling you how great you are. I think we can get there.

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