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Anthropic co-founder: AGI predictions, leaving OpenAI, what keeps him up at night | Ben Mann

Anthropic co-founder: AGI predictions, leaving OpenAI, what keeps him up at night | Ben Mann

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Benjamin Mann is a co-founder of Anthropic, an AI startup dedicated to building aligned, safety-first AI systems. Prior to Anthropic, Ben was one of the architects of GPT-3 at OpenAI. He left OpenAI driven by the mission to ensure that AI benefits humanity. In this episode, Ben opens up about the accelerating progress in AI and the urgent need to steer it responsibly. *In this conversation, we discuss:* 1. The inside story of leaving OpenAI with the entire safety team to start Anthropic 2. How Meta’s $100M offers reveal the true market price of top AI talent 3. Why AI progress is still accelerating (not plateauing), and how most people misjudge the exponential 4. Ben’s “economic Turing test” for knowing when we’ve achieved AGI—and why it’s likely coming by 2027-2028 5. Why he believes 20% unemployment is inevitable 6. The AI nightmare scenarios that concern him most—and how he believes we can still avoid them 7. How focusing on AI safety created Claude’s beloved personality 8. What three skills he’s teaching his kids instead of traditional academics *Brought to you by:* Sauce—Turn customer pain into product revenue: https://sauce.app/lenny LucidLink—Real-time cloud storage for teams: https://www.lucidlink.com/lenny Fin—The #1 AI agent for customer service: https://fin.ai/lenny *Transcript:* https://www.lennysnewsletter.com/p/anthropic-co-founder-benjamin-mann *My biggest takeaways (for paid newsletter subscribers):* https://www.lennysnewsletter.com/i/168107911/my-biggest-takeaways-from-this-conversation *Where to find Ben Mann:* • X: https://x.com/8enmann • LinkedIn: https://www.linkedin.com/in/benjamin-mann/ • Website: https://benjmann.net/ *Where to find Lenny:* • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ *In this episode, we cover:* (00:00) Introduction to Benjamin (04:43) The AI talent war (06:28) AI progress and scaling laws (10:50) Defining AGI and the economic Turing test (12:26) The impact of AI on jobs (17:45) Preparing for an AI future (24:05) Founding Anthropic (27:06) Balancing AI safety and progress (29:10) Constitutional AI and model alignment (34:21) The importance of AI safety (43:40) The risks of autonomous agents (45:40) Forecasting superintelligence (48:36) How hard is it to align AI? (53:19) Reinforcement learning from AI feedback (RLAIF) (57:03) AI's biggest bottlenecks (01:00:11) Personal reflections on responsibilities (01:02:36) Anthropic’s growth and innovations (01:07:48) Lightning round and final thoughts *Referenced:* • Dario Amodei on LinkedIn: https://www.linkedin.com/in/dario-amodei-3934934/ • Anthropic CEO: AI Could Wipe Out 50% of Entry-Level White Collar Jobs: https://www.marketingaiinstitute.com/blog/dario-amodei-ai-entry-level-jobs • Alexa+: https://www.amazon.com/dp/B0DCCNHWV5 • Azure: https://azure.microsoft.com/ • Sam Altman on X: https://x.com/sama • Opus 3: https://www.anthropic.com/news/claude-3-family • Claude’s Constitution: https://www.anthropic.com/news/claudes-constitution • Greg Brockman on X: https://x.com/gdb • Anthropic’s Responsible Scaling Policy: https://www.anthropic.com/news/anthropics-responsible-scaling-policy • Agentic Misalignment: How LLMs could be insider threats: https://www.anthropic.com/research/agentic-misalignment • Anthropic’s CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next • AI prompt engineering in 2025: What works and what doesn’t | Sander Schulhoff (Learn Prompting, HackAPrompt): https://www.lennysnewsletter.com/p/ai-prompt-engineering-in-2025-sander-schulhoff • Unitree: https://www.unitree.com/ • Arthur C. Clarke: https://en.wikipedia.org/wiki/Arthur_C._Clarke • How Reinforcement Learning from AI Feedback Works: https://www.assemblyai.com/blog/how-reinforcement-learning-from-ai-feedback-works • RLHF: https://en.wikipedia.org/wiki/Reinforcement_learning_from_human_feedback • Jared Kaplan on LinkedIn: https://www.linkedin.com/in/jared-kaplan-645843213/ • Moore’s law: https://en.wikipedia.org/wiki/Moore%27s_law • Machine Intelligence Research Institute: https://intelligence.org/ • Raph Lee on LinkedIn: https://www.linkedin.com/in/raphaeltlee/ • “The Last Question”: https://en.wikipedia.org/wiki/The_Last_Question • Beth Barnes on LinkedIn: https://www.linkedin.com/in/elizabethmbarnes/ • “The Last Question”: https://en.wikipedia.org/wiki/The_Last_Question • Good Strategy, Bad Strategy | Richard Rumelt: https://www.lennysnewsletter.com/p/good-strategy-bad-strategy-richard • Pantheon on Netflix: https://www.netflix.com/title/81937398 *...References continued at:* https://www.lennysnewsletter.com/p/anthropic-co-founder-benjamin-mann _Production and marketing by https://penname.co/._ _For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com._ Lenny may be an investor in the companies discussed.

Segments Timeline

1
0:00 - 0:12
0:12 duration57 words

The Last Invention Humanity Needs?

Benjamin Mann discusses the timeline for achieving superintelligence, predicting a 50% chance by 2028. He reflects on the urgency of AI safety and the implications of creating powerful AI, emphasizing the need to keep it aligned with human values.

"You wrote somewhere that creating powerful  AI might be the last invention humanity ever   needs to make. How much time do we have, Ben?   I think 50th percentile chance of hitting some  kind of super..."

2
0:12 - 0:26
0:14 duration83 words

Leaving OpenAI for Safety

Ben shares his motivations for leaving OpenAI, highlighting concerns that safety wasn't prioritized. He emphasizes the importance of ensuring that superintelligence remains aligned with human interests, framing it as a critical challenge.

"What is it that you saw at OpenAI? What'd you  experience there that made you feel like, okay,   we got to go do our own thing? We felt like safety wasn't the top   priority there. The case for safety..."

3
0:26 - 0:38
0:11 duration52 words

Assessing AI Alignment Risks

Mann provides his forecast on the risks associated with AI alignment, estimating a 0-10% chance of an extremely negative outcome. He stresses the importance of addressing these risks before superintelligence is achieved.

"What are the odds that we align AI correctly? Once we get to superintelligence, it will be too   late to align the models. My best granularity  forecast for could we have an X-risk or extremely   bad ..."

4
0:38 - 1:04
0:26 duration107 words

The AI Talent War

Ben discusses the competitive landscape for AI talent, particularly in light of Meta's aggressive recruitment strategies. He contrasts the motivations of employees at Anthropic with those at other companies, emphasizing mission-driven work.

"bad outcome is somewhere between 0 and 10%. Something that's in the news right now is this   whole Zuck coming after all  the top AI researchers,   We've been much less affected because people  here, ..."

5
1:04 - 1:20
0:16 duration81 words

Future of Work and AI

Mann reflects on the potential for AI to cause significant unemployment, predicting a rise to 20%. He discusses the transformative impact of AI on capitalism and the nature of work in the future.

"If you just think about 20 years in the  future where we're way past the singularity,   it's hard for me to imagine that even capitalism  will look at all like it looks today.   Do you have any advice..."

6
1:20 - 1:42
0:21 duration80 words

Introduction to Benjamin Mann

In this segment, Lenny introduces Benjamin Mann, co-founder of Anthropic, highlighting his background at OpenAI and his focus on aligning AI to be helpful, harmless, and honest. The conversation sets the stage for discussing AI's future.

"Today, my guest is Benjamin Mann. Holy moly.  What a conversation. Ben is the co-founder of   Anthropic. He serves as tech lead for product  engineering. He focuses most of his time   and energy on al..."

7
1:42 - 2:15
0:32 duration117 words

AI Recruitment and Mission-Driven Work

Ben elaborates on the recruitment challenges in the AI sector, particularly the allure of high compensation packages. He emphasizes the mission-driven culture at Anthropic, where employees prioritize the impact of their work on humanity.

"including his thoughts on the recruiting battle  for top AI researchers, why he left OpenAI to   start Anthropic, how soon he expects we'll see  AGI. Also, his economic touring test for knowing   when..."

8
2:15 - 2:29
0:14 duration66 words

The Exponential Nature of AI Progress

Mann discusses the common misconception that AI progress is plateauing. He argues that advancements are accelerating, with more frequent model releases and improvements in AI capabilities.

"world and his own life and what he's encouraging  his kids to learn to succeed in an AI future.   A huge thank you to Steve Mnich, Danielle  Ghiglieri, Raph Lee, and my newsletter community   for sugg..."

9
2:29 - 2:49
0:19 duration62 words

Understanding Scaling Laws

Ben explains the importance of scaling laws in AI development, asserting that they continue to hold true despite perceptions of stagnation. He compares AI progress to semiconductor advancements, emphasizing the need for a shift in perspective.

"and follow it in your favorite podcasting app or  YouTube. Also, if you become an annual subscriber   of my newsletter, you get a year free of a  bunch of amazing products including Bolt,   Linear, Su..."

10
2:49 - 3:05
0:16 duration43 words

Defining AGI: The Economic Turing Test

Mann introduces his concept of the Economic Turing Test as a measure for achieving AGI. He explains that if an AI can perform jobs at a level indistinguishable from humans, it signifies transformative AI.

"The way teams turn feedback into product  impact is stuck in the past. Vague reports,   static taxonomies, unactionable insights that  don't move business metrics. The results churn,   lost deals, mis..."

11
3:05 - 3:31
0:25 duration72 words

The Future of Employment with AI

Ben discusses the potential impact of AI on employment, predicting significant changes in job structures and the economy. He emphasizes the need for society to adapt to these changes as AI becomes more integrated into the workforce.

"business impact and act faster. It listens to  your sales calls, support tickets, turn reasons,   and lost deals, surfacing the biggest product  issues and opportunities in real time.   It then routes..."

12
3:31 - 3:52
0:21 duration65 words

AI's Immediate Impact on Jobs

Mann highlights the current effects of AI on various job sectors, noting that many people may not yet realize the extent of these changes. He emphasizes the importance of recognizing the exponential nature of AI progress.

"caught a spiking issue and prevented millions in  churn. You can too at sauce.app/lenny. Sauce built   for AI product teams. Don't get left behind. This episode is brought to you by LucidLink,   the s..."

13
3:52 - 4:09
0:16 duration61 words

Customer Service Revolutionized by AI

Ben shares examples of AI's impact on customer service, citing high resolution rates achieved by AI systems. He discusses how AI allows human workers to focus on more complex tasks, enhancing overall productivity.

"videos, design assets, layer project  files, you know how painful it can be   to stay organized across locations, files live  in different places. You're constantly asking,   is this the latest versio..."

14
4:09 - 4:29
0:20 duration78 words

The Future of Software Engineering

Mann discusses the role of AI in software engineering, highlighting how AI tools can significantly increase productivity. He emphasizes the transformative potential of AI in enabling smaller teams to achieve greater outputs.

"LucidLink fixes this. It gives your team a shared  space in the cloud that works like a local drive.   Files are instantly accessible for anywhere, no  downloading, no syncing, and always up to date. ..."

15
4:29 - 4:47
0:17 duration40 words

The Expansion of Labor Opportunities

Ben concludes by discussing the potential for AI to expand labor opportunities, allowing workers to accomplish more. He emphasizes the importance of preparing for the changes AI will bring to the job market.

"Shopify, and top creative agencies use LucidLink  to keep their content engine running fast and   smooth. Try it for free at lucidlink.com/lenny.  That's L-U-C-I-D-L-I-N-K dot com slash Lenny.   Ben, ..."

16
14:07 - 15:02
0:55 duration187 words

The Scary Transition to an AI-Driven Future

Ben Mann discusses the unsettling transition from today's job market to a future dominated by AI. He highlights the concept of the singularity, where rapid changes make it difficult to predict the future. Mann emphasizes the importance of managing this transition to ensure a positive outcome for society.

"guess there's this scary transition period from  where we are today where people have jobs and   capitalism works and the world of 20 years from  now where everything is completely different, but   pa..."

17
15:02 - 16:13
1:10 duration211 words

Misunderstanding Exponential AI Progress

Mann explains how people often struggle to grasp the implications of exponential growth in AI technology. He shares his early recognition of AI's potential with GPT-2 and contrasts it with the public's delayed reaction to ChatGPT, emphasizing the need for awareness of AI's rapid advancements.

"my job seems fine. Nothing's changed. What  are you seeing just happening today already   that you think people don't see or misunderstand  in terms of the impact AI is having on jobs?   I think part ..."

18
16:13 - 17:43
1:30 duration283 words

AI's Impact on Customer Service and Software Engineering

In this segment, Mann illustrates the transformative effects of AI on customer service and software engineering. He cites impressive statistics, such as 82% resolution rates in customer service without human intervention and how AI tools like Claude Code enable teams to produce significantly more code efficiently.

"But I guess to cite a couple of areas where  I think things are changing quite quickly. In   customer service we're seeing with things like Fin  and Intercom, they're a great partner of ours, 82%   cu..."

19
17:43 - 18:43
1:00 duration193 words

Preparing for Job Displacement in an AI World

Mann addresses the potential job displacement caused by AI, particularly in lower-skill roles. He stresses the importance of society proactively preparing for these changes and discusses how individuals can future-proof their careers in an AI-driven landscape.

"need to get ahead of and work on. Okay. I want to talk more about that,   but something that I also want to help people with  is how do they get a leg up in this future world?   They listen to this, t..."

20
18:43 - 20:10
1:27 duration264 words

Leveraging AI Tools for Career Advancement

Mann shares advice on how individuals can effectively use AI tools to enhance their careers. He emphasizes the importance of being ambitious and adaptable in utilizing these technologies, encouraging users to experiment and learn from their interactions with AI.

"how you use the tools and being willing to learn  new tools. People who use the new tools as if they   were old tools tend to not succeed. As an example  of that, when you're coding, people are very  ..."

21
20:10 - 21:54
1:43 duration355 words

The Importance of Persistence with AI Tools

In this segment, Mann discusses the significance of persistence when using AI tools. He explains that users should not be discouraged by initial failures and should be willing to rephrase their queries to achieve better results, highlighting the stochastic nature of AI responses.

"Okay, so the advice here is use the tools.  That's something everyone's always saying,   just actually use these tools. It's like sit  in Claude Code. And your point about being more   ambitious than ..."

22
21:54 - 22:43
0:49 duration152 words

Teaching Kids for an AI Future

Mann reflects on the skills he prioritizes in educating his children to thrive in an AI-driven world. He emphasizes curiosity, creativity, and emotional intelligence as essential traits, advocating for a Montessori approach to learning that fosters self-led exploration.

"and that's why we're hiring super aggressively. Let me take another approach to asking this   question something ask everyone that's at the very  cutting edge of where AI is going. You have kids,   kn..."

23
22:43 - 24:01
1:18 duration252 words

The Role of Kindness in an AI World

Mann discusses the importance of kindness in the context of AI development and interaction. He highlights how fostering empathy and understanding in AI systems can lead to better outcomes and more meaningful interactions between humans and AI.

"20 years ago and I had a kid, maybe I would be  trying to line her up for going to a top tier   school and doing all the extracurriculars and all  that stuff. But at this point, I don't think any   of..."

24
24:01 - 25:35
1:33 duration299 words

The Founding of Anthropic

Mann shares the story behind the founding of Anthropic, detailing the motivations that led him and his team to leave OpenAI. He discusses the internal tensions regarding safety and progress at OpenAI and how they sought to prioritize safety in their new venture.

"That doesn't come up as much just being creative. I want to go in a different direction. I want   to go back to the beginning of Anthropic.  Famously you and eight of you left OpenAI   back in the day..."

25
25:35 - 27:00
1:25 duration267 words

Prioritizing Safety in AI Development

In this segment, Mann elaborates on the importance of safety in AI development. He explains how Anthropic aims to lead in safety research while also pushing the boundaries of AI capabilities, emphasizing the need for a balanced approach to innovation and safety.

"safety wasn't the top priority there. And there  are good reasons that you might think that if you   thought safety was going to be easy to solve or if  you thought it wasn't going to have a big impac..."

26
27:00 - 28:42
1:41 duration323 words

Balancing Safety and Competitive Progress

Mann discusses the perceived tension between focusing on AI safety and maintaining competitive progress in the marketplace. He shares insights on how prioritizing safety can actually enhance innovation and lead to better AI outcomes.

"and now that exact technique is working and  many others that we have been thinking about   for a long time. Yeah, fundamentally it comes  down to is safety the number one priority? And   then somethi..."

27
28:42 - 30:16
1:34 duration272 words

Constitutional AI: Embedding Values in AI Systems

Mann introduces the concept of Constitutional AI, explaining how Anthropic integrates core values and principles into their AI models. He discusses the significance of these values in shaping AI behavior and ensuring alignment with human intentions.

"do you do a refusal that doesn't shut the person  down, but makes them feel like they understand   why the agent said, "I can't help you with that.  Maybe you should talk to a medical professional,   ..."

28
30:16 - 32:45
2:29 duration425 words

Constitutional AI: Baked-In Values for Alignment

In this segment, Mann elaborates on how constitutional AI works, detailing the process of integrating ethical principles directly into the AI model. He explains how the model critiques its own responses based on these principles, ensuring that it adheres to values like kindness and respect. This proactive approach aims to create AI that understands and aligns with human values, fostering trust among users.

"That's right. That's right. And from a distance,  it might seem quite disconnected, like how is   this going to prevent X risk? But ultimately it's  about the AI understanding what people want and   n..."

29
32:45 - 35:03
2:17 duration448 words

The Urgency of AI Safety: A Personal Mission

Mann shares his personal journey towards prioritizing AI safety, influenced by his love for science fiction and the insights from Nick Bostrom's 'Superintelligence.' He reflects on the challenges of aligning AI with human values and the importance of addressing these issues proactively. Mann emphasizes that while the path to safe AGI is complex, he remains hopeful due to advancements in language models that better understand human intentions.

"that we've decided are good. And this is also  not something that we think as a small group of   people in San Francisco should be figuring out.  This should be a society wide conversation. And   that..."

30
35:03 - 39:02
3:59 duration635 words

The Risks of AI: A Clear-Eyed Perspective

Mann discusses the potential risks associated with AI, including the misuse of technology and the importance of transparency in AI development. He explains Anthropic's responsible scaling policy, which categorizes AI safety levels and outlines the societal risks at each stage. Mann stresses the need for awareness and preparation as AI capabilities grow, advocating for a proactive approach to mitigate potential dangers.

"like space operas where humanity is a multi  galactic civilization has extremely advanced   technology building Dyson spheres around the sun  with sentient robots to help them. And so for me,   coming..."

31
39:02 - 41:15
2:12 duration418 words

Balancing Optimism and Caution in AI Development

In this segment, Mann addresses criticisms of AI safety discussions, asserting that transparency about risks is crucial for building trust with policymakers. He argues that while the future of AI is likely to be positive, the potential downsides must not be ignored. Mann uses analogies to illustrate the importance of preparing for worst-case scenarios, emphasizing that the stakes are too high to gamble with humanity's future.

"It's interesting because you guys put out more  examples of your models doing bad things than   anyone else. There was I think a story of an agent  or a model trying to blackmail engineer. You guys   ..."

32
41:15 - 43:40
2:25 duration424 words

The Last Invention: Preparing for Superintelligence

Mann reflects on the profound implications of creating powerful AI, describing it as potentially humanity's last invention. He discusses the exponential growth of AI capabilities and the urgency of ensuring safety before reaching superintelligence. Mann highlights the need for a societal conversation about AI values and the importance of aligning AI with human interests to prevent catastrophic outcomes.

"I mean, I think part of why we publish these  things is we want other labs to be aware of   the risks. And yes, there could be a narrative  of we're doing it for attention, but honestly   from a atten..."

33
43:40 - 46:51
3:10 duration536 words

Forecasting the Future: Predictions for AGI

Mann shares insights on predictions for achieving AGI, referencing the AI 2027 report and the exponential growth of intelligence. He discusses the factors contributing to this rapid advancement and expresses confidence in the timeline for superintelligence. Mann emphasizes that understanding these developments is crucial for preparing society for the transformative impact of AI.

"You wrote somewhere that creating powerful AI  might be the last invention humanity ever needs to   make. If it goes poorly, it can mean a bad outcome  for humanity forever. If it goes well, the soone..."

34
46:30 - 48:15
1:45 duration335 words

Forecasting Superintelligence

Ben shares insights on the timeline for achieving superintelligence, referencing the AI 2027 report. He discusses the exponential growth of AI capabilities and the implications of reaching a point where AI surpasses human intelligence, emphasizing the need for careful consideration of this rapid advancement.

"a forecast that's pulled out of thin air. It's  based on a lot of just hard details of the science   of how intelligence seems to have been improving,  the amount of low hanging fruit on model trainin..."

35
48:15 - 49:56
1:41 duration302 words

Defining Superintelligence

Mann explains his concept of the 'Economic Turing Test' as a measure for determining when superintelligence is achieved. He discusses the potential economic impacts of AI, including a significant increase in global GDP, and the societal implications of such rapid growth.

"about what that would mean from a individual story  standpoint. If the amount of goods and services in   the world is doubling every year, what does that  even mean for me as a person living in Califo..."

36
49:56 - 51:49
1:53 duration304 words

The Challenge of AI Alignment

In this segment, Ben discusses the complexities of aligning AI with human values. He outlines three potential scenarios for AI alignment, from optimistic to pessimistic, and emphasizes the importance of proactive measures to ensure safe AI development, drawing parallels to historical examples of global coordination.

"prior on that is updating to be less likely. In the optimistic world, we're basically done,   and our main job is to accelerate progress and to  deliver the benefits to people. But again, I think   ac..."

37
51:49 - 53:02
1:12 duration224 words

The Importance of Diverse Roles in AI Safety

Mann encourages individuals interested in AI safety to consider various roles beyond research, highlighting the need for product development, finance, and other fields to support the mission of safe AI. He emphasizes that everyone can contribute to the cause, regardless of their specific expertise.

"absolute best to make sure that that's true. Wow. What fulfilling work. For folks that are   inspired with this? I imagine you're hiring for  folks to help you with this. Maybe just share that   in ca..."

38
53:02 - 54:17
1:15 duration208 words

Reinforcement Learning from AI Feedback

Ben introduces the concept of RLAIF (Reinforcement Learning from AI Feedback) and its significance in AI training. He explains how this approach allows AI models to improve autonomously, while also addressing the risks associated with self-improvement and the need for alignment with human values.

"Awesome. Even if you're not working  directly on the AI safety team,   you're having an impact on moving things in the  right direction. By the way, X risk is short for   existential risk. In case fol..."

39
54:17 - 56:41
2:23 duration389 words

Bottlenecks in AI Development

Mann identifies key bottlenecks in AI intelligence improvement, including the need for more data centers and computational power. He discusses the importance of scaling laws and the role of researchers in advancing AI capabilities, emphasizing the collaborative nature of progress in the field.

"does it pass the linter? Things like that. That  also could be included in RLAIF. And the idea   here is that if models can self-improve, then  it's a lot more scalable than finding a lot   of humans...."

40
56:41 - 1:00:05
3:23 duration547 words

The Future of Semiconductor Technology

In this segment, Ben discusses the challenges facing semiconductor technology and its impact on AI development. He reflects on the ongoing innovations that continue to drive progress, despite theoretical constraints, and the importance of adaptability in the tech industry.

"an empirical company. We have a lot of physicists  like Jared, who's our chief research officer who   I've worked with a lot, was a professor of Black  Hole Physics at Johns Hopkins, and I guess he   ..."

41
1:00:05 - 1:02:30
2:25 duration408 words

Personal Reflections on AI Responsibility

Ben shares his personal experiences and thoughts on the weight of responsibility that comes with working on AI safety. He discusses strategies for managing stress and the importance of community support in tackling the challenges of ensuring safe AI development.

"into and yet they're finding ways around it. We've got to start using parallel universes for   some of this stuff. I guess so.   Okay, I want to zoom out and talk about just  Ben, Ben as a human for a..."

42
1:02:12 - 1:03:38
1:25 duration285 words

The Evolution of Anthropic

Reflecting on his journey at Anthropic, Ben shares his diverse roles within the company since its inception. He discusses the growth from a small team to over 1,000 employees and his contributions to various projects, particularly in transitioning from research to product development.

"density. One of the things I love the most about  our culture here is that it's very egoless. People   just want the right thing to happen and I think  that's another big reason that the mega offers  ..."

43
1:03:38 - 1:04:31
0:53 duration170 words

Innovating Through the Labs Team

Ben introduces the Labs team at Anthropic, which focuses on transferring research into user-friendly products. He discusses the team's innovative approach and the importance of safety in developing new technologies, highlighting successful projects like Claude Code.

"that time has been when I started the labs team  about a year ago, whose fundamental goal was to   do transfer from research to end user products  and experiences. Because fundamentally I think   the ..."

44
1:04:31 - 1:07:35
3:04 duration573 words

Strategic Vision for AI Development

In this segment, Ben shares insights on strategic planning for AI projects, emphasizing the need to build for the future rather than the present. He discusses the importance of understanding exponential growth in technology and how this perspective has influenced the development of Anthropic's products.

"see really cool stuff coming out soonish. Yeah,  just leading that team has been so fun. MCP came   out of that team and Claude Code came out of that  team. And the people who I hired are like combo, ..."