Dario Amodei: Anthropic CEO on Claude, AGI & the Future of AI & Humanity | Lex Fridman Podcast #452



Dario Amodei is the CEO of Anthropic, the company that created Claude. Amanda Askell is an AI researcher working on Claude’s character and personality. Chris Olah is an AI researcher working on mechanistic interpretability.
Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep452-sb
See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc.

*Transcript:*
https://lexfridman.com/dario-amodei-transcript

*CONTACT LEX:*
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*Other* – other ways to get in touch: https://lexfridman.com/contact

*EPISODE LINKS:*
Claude: https://claude.ai
Anthropic’s X: https://x.com/AnthropicAI
Anthropic’s Website: https://anthropic.com
Dario’s X: https://x.com/DarioAmodei
Dario’s Website: https://darioamodei.com
Machines of Loving Grace (Essay): https://darioamodei.com/machines-of-loving-grace
Chris’s X: https://x.com/ch402
Chris’s Blog: https://colah.github.io
Amanda’s X: https://x.com/AmandaAskell
Amanda’s Website: https://askell.io

*SPONSORS:*
To support this podcast, check out our sponsors & get discounts:
*Encord:* AI tooling for annotation & data management.
Go to https://lexfridman.com/s/encord-ep452-sb
*Notion:* Note-taking and team collaboration.
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*OUTLINE:*
0:00 – Introduction
3:14 – Scaling laws
12:20 – Limits of LLM scaling
20:45 – Competition with OpenAI, Google, xAI, Meta
26:08 – Claude
29:44 – Opus 3.5
34:30 – Sonnet 3.5
37:50 – Claude 4.0
42:02 – Criticism of Claude
54:49 – AI Safety Levels
1:05:37 – ASL-3 and ASL-4
1:09:40 – Computer use
1:19:35 – Government regulation of AI
1:38:24 – Hiring a great team
1:47:14 – Post-training
1:52:39 – Constitutional AI
1:58:05 – Machines of Loving Grace
2:17:11 – AGI timeline
2:29:46 – Programming
2:36:46 – Meaning of life
2:42:53 – Amanda Askell – Philosophy
2:45:21 – Programming advice for non-technical people
2:49:09 – Talking to Claude
3:05:41 – Prompt engineering
3:14:15 – Post-training
3:18:54 – Constitutional AI
3:23:48 – System prompts
3:29:54 – Is Claude getting dumber?
3:41:56 – Character training
3:42:56 – Nature of truth
3:47:32 – Optimal rate of failure
3:54:43 – AI consciousness
4:09:14 – AGI
4:17:52 – Chris Olah – Mechanistic Interpretability
4:22:44 – Features, Circuits, Universality
4:40:17 – Superposition
4:51:16 – Monosemanticity
4:58:08 – Scaling Monosemanticity
5:06:56 – Macroscopic behavior of neural networks
5:11:50 – Beauty of neural networks

*PODCAST LINKS:*
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25 thoughts on “Dario Amodei: Anthropic CEO on Claude, AGI & the Future of AI & Humanity | Lex Fridman Podcast #452”

  1. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep452-sa
    See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc.
    0:00 – Introduction
    3:14 – Scaling laws
    12:20 – Limits of LLM scaling
    20:45 – Competition with OpenAI, Google, xAI, Meta
    26:08 – Claude
    29:44 – Opus 3.5
    34:30 – Sonnet 3.5
    37:50 – Claude 4.0
    42:02 – Criticism of Claude
    54:49 – AI Safety Levels
    1:05:37 – ASL-3 and ASL-4
    1:09:40 – Computer use
    1:19:35 – Government regulation of AI
    1:38:24 – Hiring a great team
    1:47:14 – Post-training
    1:52:39 – Constitutional AI
    1:58:05 – Machines of Loving Grace
    2:17:11 – AGI timeline
    2:29:46 – Programming
    2:36:46 – Meaning of life
    2:42:53 – Amanda Askell – Philosophy
    2:45:21 – Programming advice for non-technical people
    2:49:09 – Talking to Claude
    3:05:41 – Prompt engineering
    3:14:15 – Post-training
    3:18:54 – Constitutional AI
    3:23:48 – System prompts
    3:29:54 – Is Claude getting dumber?
    3:41:56 – Character training
    3:42:56 – Nature of truth
    3:47:32 – Optimal rate of failure
    3:54:43 – AI consciousness
    4:09:14 – AGI
    4:17:52 – Chris Olah – Mechanistic Interpretability
    4:22:44 – Features, Circuits, Universality
    4:40:17 – Superposition
    4:51:16 – Monosemanticity
    4:58:08 – Scaling Monosemanticity
    5:06:56 – Macroscopic behavior of neural networks
    5:11:50 – Beauty of neural networks

    Transcript:
    https://lexfridman.com/dario-amodei-transcript

    CONTACT LEX:
    Feedback – give feedback to Lex: https://lexfridman.com/survey
    AMA – submit questions, videos or call-in: https://lexfridman.com/ama
    Hiring – join our team: https://lexfridman.com/hiring
    Other – other ways to get in touch: https://lexfridman.com/contact

    EPISODE LINKS:
    Claude: https://claude.ai
    Anthropic's X: https://x.com/AnthropicAI
    Anthropic's Website: https://anthropic.com
    Dario's X: https://x.com/DarioAmodei
    Dario's Website: https://darioamodei.com
    Machines of Loving Grace (Essay): https://darioamodei.com/machines-of-loving-grace
    Chris's X: https://x.com/ch402
    Chris's Blog: https://colah.github.io
    Amanda's X: https://x.com/AmandaAskell
    Amanda's Website: https://askell.io

    SPONSORS:
    To support this podcast, check out our sponsors & get discounts:
    Encord: AI tooling for annotation & data management.
    Go to https://lexfridman.com/s/encord-ep452-sa
    Notion: Note-taking and team collaboration.
    Go to https://lexfridman.com/s/notion-ep452-sa
    Shopify: Sell stuff online.
    Go to https://lexfridman.com/s/shopify-ep452-sa
    BetterHelp: Online therapy and counseling.
    Go to https://lexfridman.com/s/betterhelp-ep452-sa
    LMNT: Zero-sugar electrolyte drink mix.
    Go to https://lexfridman.com/s/lmnt-ep452-sa

    Reply
  2. the reason why a model feels dumber after a while is simple: we are used to interact with humans who have the ability to learn and adapt. and we forget that models dont do that, they always stay the same. so its not that models get dumber, its that normally humans get smarter or more aligned.

    Reply
  3. I do not think there will ever be a lack of data. Humans are not using AI models for free. Humans are active participants in the building of larger, stronger and smarter AI models. Humans are providing data, private data, on a daily basis to the leading AI companies. As long as we keep using these AI systems, data will always be abundant. There is never something for nothing. We might run out of public data, but we will never run out of thought, thoughts that we chose everyday to hand over to these AI systems.

    Reply
  4. The issue with LLM/AI is the way it's being rolled out to investors. You gentleman are lying to investors when you don't bring along the progression charts and dutifully explain to them that you are at the edge now, you are investing in fantasy land with the hope that the roulette wheel stops on their # and they win a trillion $ before Palantir decides to nuke a few cities with its genius algorithms that so far have been targeting kids in Palestine. ChatGPT is a fancy toy, but a toy that will forever be 15-20% broken will not one day wake up and start generating human emotion and insight.

    Reply
  5. 4:39:44

    But I think there's also a lot of value in just being like, you know, I'm going to essentially assume,
    I'm gonna condition on this problem being possible or this being broadly the right approach,
    and I'm just gonna go and assume that for a while and go and work within that and push really hard on it.
    And, you know, society has lots of people doing that for different things. That's actually really useful
    in terms of going and getting to, you know, either really ruling things out, right?
    We can be like, well, you know, that didn't work and we know that somebody tried hard.
    Or going in and getting to something that it does teach us something about the world.

    Reply
  6. Алексей, в той части, где ваша собеседница стала рассказывать про общение с claude, я вспомнила историю из wsj про одного парня. он создал чат бот replika и назвал его «грушенькой». в честь героини романа «Братья Карамазовы». признавайтесь, это были вы?…

    я недавно решила перечитать это произведение ради любопытства. в очередной раз убедилась. Достоевский – не мой автор. чтобы отойти от Достоевского, мне пришлось примерно 1,5 месяца "прикладывать к голове" книги Джейн Остин и Толстого.

    а если серьезно. я сейчас много работаю с танцем, движением и телом. как режиссер и как танцор. я осознала одну простую вещь. все эти суррогаты в виде социальных сетей, чат ботов и ИИ никогда не заменят базового бытового взаимодействия между людьми. простого касания взглядами, пальцами. и тех ощущений, которые дарит это касание. суррогаты – это путь в никуда. человеку нужен человек точка From Russia With Love!❤

    p.s. я не успела досмотреть до конца. но мне безумно понравился момент, когда в кадре появились лучики солнца, которые подали вокруг вашей собеседницы.

    Reply

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