Sam Altman & the Battle for OpenAI | Is OpenAI Out of the Woods? | 4

17 Apr 2024 · 42 min

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Business Wars: Episode Summary

Episode Title

Sam Altman & the Battle for OpenAI | Is OpenAI Out of the Woods? | 4

Podcast Overview

  • Podcast Title: Business Wars
  • Host: David Brown
  • Description: The podcast explores the competitive landscape between major companies, detailing the drama and decisions that shape their trajectories.

Episode Description In this episode, host David Brown discusses the tumultuous events surrounding OpenAI, particularly focusing on the fallout from the removal of CEO Sam Altman and the subsequent investigation into that decision. Joining him is Julia Black, a tech reporter, who provides insights into OpenAI's evolution and its implications for the future of artificial intelligence.

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Key Points Discussed

  1. Background of OpenAI
  2. Founding and Rapid Growth: OpenAI has established itself as a leader in AI since its inception in 2015.
  3. Leadership Turmoil: The episode details the dramatic events in November 2023 when Sam Altman was ousted and later reinstated as CEO.
  1. Investigation Outcomes
  2. Independent Investigation Findings: An independent investigation concluded that Altman’s termination was unjustified, although details were sparse, leading to public disappointment.
  3. Board Dynamics: The investigation did not clarify the initial rationale for Altman’s firing, highlighting ongoing tensions within the board regarding leadership and direction.
  1. Current State of OpenAI
  2. Leadership Changes: Altman’s return led to a revised board that publicly aligns more closely with his vision, moving away from prior members focused on existential AI risks.
  3. Internal Divisions: A divide persists within OpenAI, particularly between those focused on rapid advancement and those concerned about AI safety.
  1. QSTAR Project
  2. Controversial Development: The QSTAR project is shrouded in secrecy and has caused internal concern among team members about its implications for AI safety.
  3. Concerns about AI Safety: There remains a significant faction within OpenAI advocating for more cautious approaches towards AI development.
  1. The Role of Key Individuals
  2. Sam Altman: His leadership style is characterized as charismatic yet potentially Machiavellian, with a focus on growth and profitability.
  3. Ilya Sutskiver: His role and whereabouts during the turmoil remain unclear, raising questions about his influence and position within the company.
  1. Market Dynamics and Competition
  2. Competitors Gaining Ground: OpenAI faces increasing competition from other tech companies, challenging its previously dominant position.
  3. Microsoft's Influence: Microsoft's investment in OpenAI has changed the landscape, showcasing a symbiotic relationship that benefits both parties.
  1. Elon Musk's Involvement
  2. Legal Actions Against OpenAI: Elon Musk's recent lawsuit against OpenAI is seen as a strategic move to undermine a competitor as he launches his own AI initiatives.
  3. Changing Allegiances: Since Musk's departure from OpenAI, he has evolved, focusing on his own AI goals while criticizing the company he helped found.
  1. Ethical Considerations in AI
  2. Long-Term vs. Short-Term Risks: The discussion intensifies around the balance of addressing immediate concerns versus hypothetical future threats posed by AI.
  3. Caution Against Magical Thinking: The dangers of overestimating AI capabilities and underestimating ethical implications are highlighted.
  1. Future Prospects of AI
  2. Potential Benefits: Black expresses optimism about AI's applications in government and healthcare, emphasizing the need for responsible advancements.
  3. Public Perception: There are challenges in managing public expectations about AI, where dramatic narratives often overshadow practical applications.

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Conclusion The episode encapsulates the complex dynamics within OpenAI following significant leadership changes and the broader implications for the AI industry. It emphasizes the need for ethical considerations in AI development while highlighting potential benefits when aligned with societal needs. Black's insights provide a nuanced view of the intricate relationships and competitive pressures shaping the future of AI.

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Key Takeaways

  • Leadership instability at OpenAI raises questions about its future direction.
  • Ethical considerations in AI are becoming increasingly urgent as competition heats up.
  • The evolving relationship between tech giants like OpenAI and Microsoft signifies a shift in market dynamics.
  • There is potential for AI to transform sectors like government and healthcare if developed responsibly.

For more insights, listen to the full episode on the [Wondery App](http://wondery.com/links/business-wars/) or wherever you get your podcasts.

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Transcript

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0:05I'm David Brown and this is Business Wars.

0:30The tech startup OpenAI quickly became an industry leader after its founding in late 2015. But as its technology became more and more powerful, there was drama at the top. And we covered the attempt to oust its CEO in our latest series, Sam Altman and the Battle for OpenAI. But this soap opera is still ongoing. Since Altman was reinstated as CEO after the unsuccessful coup, The new board launched an independent investigation to determine whether his firing was justified. They declared it wasn't, and Altman was allowed to resume his membership on the board. The report was thin on details, however, and disappointing to those looking to understand the board's rationale in trying to remove Altman in the first place.

1:15Our guest today is Julia Black, reporter at the subscriber-based independent tech publication The Information. And she joins us to help us understand OpenAI's transformation from a mission-driven AI company looking to save the world into one that critics say is moving too quickly. We'll talk about Sam Altman's leadership, the latest developments at OpenAI, and whether the future of AI is in hands we can trust. Stick around.

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3:52Julia Black, welcome to Business Wars. Thanks so much for having me. You've been reporting on tech, politics, and AI for a while now. And I wonder what fascinates you most about the landscape right now? I think the thing that interests me most right now, and really forever, is going to be characters. But I do think we're in a moment right now where this kind of Mount Rushmore of Silicon Valley is more important than ever. And I think in the world of AI in particular, it's very important to understand these people, their beliefs, their personalities, their approaches, because they're shaping systems that mean that those very personalities will trickle down into the technologies that shape the rest of our lives.

4:33Well, too bad there aren't any characters in Silicon Valley. You know, that's the thing. Yeah, poor me. Let's talk about what happened with OpenAI. Most recently, back in March, an independent investigation commissioned by the OpenAI board found that Sam Altman was wrongfully terminated back in November. What were the other key findings of that report? You know, I hate to be cynical, but I do think that when these super large firms hire these kind of outside investigators, a lot of this is for show. They weren't super transparent about the process. They did say that they interviewed various OpenAI employees.

5:12They reviewed documents. But yeah, not a lot of the findings actually reached the public. They just kind of came away with the conclusion that there was no definitive reason to fire him. That doesn't mean that they didn't find issues there. That doesn't mean that they didn't interview people and have them confirm some of the stuff that the board was saying. But I do think that the so-called coup, whatever you want to call it, was so messily handled. It happened so fast and in such a way that I think, you know, the board alleges that their intention was not for it to end up with his firing. But it all seems to have gotten out of control so quickly.

5:56So, yeah, I do think that the investigation saying that there was no reason for his termination is not the same thing as them saying there were no issues here. Did the verdict or the outcome come as a surprise to you or to anyone else? Or was this, by and large, what folks were expecting, people who were following this story? Gosh, it's hard to say now or, you know, to remember how it felt that week. It was one of the few cases in my career where I've had more sources coming to me asking questions than I've brought to sources. So I think to say, oh, in retrospect, we all knew what was going to happen would be a lie.

6:36It was complete tumult for that week. You know, I had former open AI people contacting me. Have you heard anything? What do you think is going to happen? Everyone was speculating. It was that much of a closed box there. Oh, absolutely. Yeah, I was privy to, you know, open AI group chats where people were talking to each other, exchanging theories. People were really kept in the dark. And to this day, I think there are so many unknowns. When you think about those unknowns, I guess in a way, it seems like this report was prepared to provide a level of transparency so that people have more confidence.

7:10And this was a big part of our series. When Altman returns to the company, there are others on the outside saying, well, should we do business with a company given that kind of apparent instability? And I'm wondering, as you look at the report, what is it that it doesn't say? What's missing? If I had to pick the number one question currently on people's minds, it's what's the deal with QSTAR? What is the deal with QSTAR? You know, if only I knew. But QSTAR is a project, a secretive project that they were working on internally at OpenAI. And allegedly, what is currently understood publicly is that this development within the QSTAR project was advanced enough that it really alarmed certain folks on the OpenAI team who are part of this contingent who's really worried about AI taking over the world and committing mass murder and all these horrific things.

8:08And so that ties into probably the second biggest mystery right now, which is what's going on with Ilya. That's Ilya Sitzkever. And he was supposedly the person who escalated this concern. Sort of behind it all was the way he was kind of characterized in a lot of the media. Yeah, yeah. I mean, a lot of people were accusing him of being kind of a backstabber. But at the end of the day, I think that the problems that unfolded that week were things that were baked in at the very beginning of OpenAI. I mean, it is fundamentally such a strange corporate structure. The incentives and the motivations of the company are arguably inherently misaligned.

8:54It's impossible to both operate as a nonprofit and this capped profit company because, you know, it's really hard to be answerable to the world at large as well as shareholders who want to maximize profit. There's a reason most of our system is separated into one or the other, your nonprofit or your for-profit. Do you sense that there remains a divide within open AI's leadership now? And if so, what does that mean for the company and its goals? I think it reflects a divide that you'll find in just about any circle working on the AI problem. It's what makes AI so fascinating to write about and these characters so fascinating to write about.

9:35There's this inherent contradiction where the people who know the most about AI, who are developing it, are the researchers forming these models, often tend to be the very people who are most worried about it. So I think you have a significant contingent within the OpenAI team. A lot of them are on something called the super alignment team. And these are the people who are affiliated with a movement called effective altruism. Another sort of realm is rationalism. And these are conversations that started in online communities years ago. There were these message boards where basically, you know, sci-fi nerds would gather.

10:18And they had a lot of knowledge. These are really smart people. They had a greater understanding of AI at the time than obviously most of the world. But they really started to go off into some pretty outlandish directions. I think that the best way of understanding this group of people is to look at something called the paperclip maximizer. The paperclip maximizer? The paperclip maximizer. So this is a pretty wacky thought experiment developed by this community. And the basic principle is, what if you were to teach a super advanced AI system? What if you were to give it the input? I want you to make as many paperclips as possible.

10:54So, you know, any human would probably take that directive and say, okay, I'm going to have to gather the material for paperclips and then start a factory. But they worry that an AI system that hasn't been trained with that kind of sophistication could make the mistake of understanding the directive as, I must take all possible material in the universe. That includes this table in front of me. That includes ripping the carpet out. It also even includes using human bodies as material to make paperclips. And so in this doomsday scenario thought up by these pretty wacky people, an AI system, given a prompt that it could misinterpret, could accidentally turn all of matter in the universe into paperclips, and it would be the end of the world.

11:44Obviously, that's absurd, but that's the kind of thought experiment that shapes this group's thinking. And that very group that started on these online communities has really trickled out into Silicon Valley, is really like this is dinner party, cocktail party conversation in the AI community. And a lot of those people who came from these communities do work at OpenAI. I think Sam Altman has some of those concerns, but I actually was listening to a podcast he did the other day, and he said himself that he goes back and forth on the question of the danger of AI. But currently in charge of this company, OpenAI, his primary goal seems to be to protect the company, to protect shareholder value, and not to think so much about those doomsday scenarios.

12:41If Sam Altman says that this is where he's at, does that reflect the way the board is thinking from what you can tell? Certainly, I think given that he more or less handpicked the new board, they reflect his thinking. I think he put people into place who are much more aligned with him and his vision. And he kind of got rid of those pesky, effective altruists who are, you know, chicken little, the sky is falling. So he's purged a lot of that energy from the board and, frankly, from the ranks of OpenAI. It's just not as dominant, I think, in the makeup of the staff as it was probably OpenAI's founding.

13:24Now, you mentioned Ilya Sutskiver, a missing link, I suppose you might say. He was one of the board members advocating for Sam Altman's firing, but seemed to reverse his position shortly after it happened, at least based on a lot of the social media messaging at the time. Where is it believed Dr. Sutskiver is now in all of this? You know, I heard Sam Altman did a two-hour interview on the Lex Friedman podcast this week, and Lex asked him the very same question. He said, is, is Ilya in a nuclear facility somewhere? And Sam just wouldn't answer the question. He wouldn't answer where he is. He wouldn't answer what his role is at the company.

14:03So they continue to shroud that in mystery. I'm surprised Lex couldn't pry it out of him. He, he's usually pretty, pretty dogged about that sort of thing. But, but Sam Altman was saying nothing. Yeah. Yeah. Everyone's staying pretty tight lipped on Ilya. Um, and you know, As that was all unfolding in November, it seemed to be a pretty dramatic interaction between the two of them. Reports were coming out that there was a tearful kind of begging on his knees type interaction where Ilya said, I'm so sorry. I don't know what I was thinking. I take it all back. So, yeah, it's really impossible to overstate how messy that week was.

14:47It was just people running around in circles with their heads cut off. What does this do, this drama? And frankly, I can't think of anything like this in the public sector. The only thing that comes to mind when I think about this kind of drama with so much at stake, seemingly, might be back in the early 60s in the government during the Cold War days, you know, when the military and the civilian administration was, there was all this fighting. And then out in the real world, the stakes were so high, it was literally nuclear, you know. You look at the stakes here with AI and you think about the players and the core of the argument and the philosophy.

15:27And I'm thinking, OK, well, Sam Altman now been reinstated to OpenAI's board of directors in addition to serving as CEO. What does this mean for OpenAI's next steps? Yeah, you know, I think up until November, Open Eye was the undisputed dominant player in this space. And I would think a few months later, that's less the case. They have some competitors who've been nipping at their heels. And I think that this did probably shake public trust in their work and their ability to succeed. They no longer have this kind of near monopoly on the space. They have a lot of competitors who are getting a lot of funding.

16:15I would think that more and more it's going to become this crowded marketplace where, again, it goes back to the personalities. I think you're going to start thinking more about who's running each company, who's designing each model, and what they're going to give you. So rather than OpenAI being your only option, Chat2PT being the chatbot you use, you're going to have different consumers coming to this marketplace and saying, do I want an AI system designed by Elon Musk that's anti-woke? Do I want an AI system that's designed by the original dominant player? Or maybe you'll say, oh, OpenAI is old news.

16:52They already had their chance. Now I'm excited about Anthropic and Claude. So, you know, I think it's going to become more and more of a marketplace for different types of models, and they're going to have to start distinguishing themselves more and more from each other. Julia Black covers the intersection of technology, media, and politics for the information. Let's take a short break. Coming up, we're going to talk about OpenAI's origins and where they're going next. Stay with us.

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18:47hey welcome back to business wars our guest is julia black a reporter at the tech industry publication the information julia let's rewind back to open ai's founding this is a company that developed its technology very quickly how they managed to do that i mean was was this very much Sam Altman writ large, or did he have much of a hand in that? Yeah, I think that one of the reasons they have found themselves in this first place on the leaderboard among AI companies has been winning the talent wars. I mean, I think the fact that the company was founded by Elon Musk, Sam Altman, obviously set a high bar.

19:30And I think that AI researchers, in the last decade, there's been a very narrow talent pool. And I think Open AI was successful at snapping up a lot of that talent early. So I think that's part of it. I think the other thing that's kind of set them apart has been their brazenness. They've been absolutely audacious in their use of training data, just, you know, using anything and everything they can get their hands on, whether or not they had the rights to it, which, you know, now they're starting to see the blowback of lawsuits and controversy over the use of creative content that they haven't licensed.

20:15So, you know, I think that they just had really good access to talent, training data, and yeah. I'm really interested in hearing what you got to say about Sam Altman's place in this. You know, Sam Altman, he didn't have the kind of force of personality, I think, at least on the national stage, that someone like an Elon Musk might have. Have you gotten a chance to get to know him? And maybe there's some reason for that, you know, why he seemed to be such a prominent presence, you know, in Silicon Valley, but only recently has sort of started to pop into the national consciousness, if you know what I'm saying.

20:56Yeah, absolutely. I can't say I know Sam well. I have interviewed him. I have written about him extensively, thought a lot about him. And yeah, the experience of interviewing him was a fascinating one. He's kind of different from a lot of his Silicon Valley peers. It's a group that is largely known for its awkwardness socially, if I'm being honest. And he's a pretty charismatic guy. And so it's been interesting to watch him kind of enter the public eye and in real time kind of experiment with trying on different masks is the way I kind of see it. I think he's very careful and thoughtful about his communications.

21:40And, you know, as the board drama started to play out, that is something that was perceived as manipulation. That's one way of seeing it. Another is just, let's just say I've heard the word Machiavellian used about him more than once. Interesting. But yeah, I mean, I think he has this outward facing character that's very personable, very friendly. He always has had a good relationship with journalists, which is more and more rare these days. He writes his friendly little emails with smiley faces and lowercase letters and always sounds so eager to help. But then sometimes you look at the amount of power he's wielding and you wonder how real that can be or if it's all part of a larger goal.

22:26Let's talk about the personal philosophies, though, of the OpenAI board members. You know, at the beginning, it seemed like those board members and founders were very much aligned. But as the company expanded, there was a divergence. What was the tipping point? What seems to have been the tipping point? Sure. I think this brazenness really is fundamental to Sam's approach and to OpenAI's approach. The fact that they were willing to release a model into the wild, the way that the public started to interact with ChatGPT really before it had interacted with any other model, that was a really bold move.

23:07It was this kind of overnight release that suddenly felt like it changed the world, changed everything. And Sam's philosophy was very much the move fast and break things philosophy that, has become kind of infamous in Silicon Valley. So his idea was, let's release this model. It may be imperfect, but we have this advantage of allowing the public to interact with it. And then the public can kind of start to train it. So I think the willingness to go there was what set OpenAI apart from its competitors, but also what really worried this contingent of people who have concerns about AI safety. I think a lot of people said, whoa, whoa, whoa, we haven't even put the guardrails in place.

23:51We don't even know what that looks like. We don't know how to regulate this. And yet you're just releasing it into the wild and hoping for the best. So I think that the release of the models into the public was the turning point that started to alarm people. So based on your reporting, was it more Sam Altman that brought this about, that he had lost touch with the original mission? Or do you think the board was perhaps overreacting to what Altman was doing? It's a hard question to answer. I think that Altman probably started to feel pressure from his investors. And again, it just gets back to this fundamental kind of core problem with this company.

24:36It's like, who should he be answering to? A board of people who come from this effective altruism background or investors who just say, go, go, go, make that profit, grow, scale. That's very much typically how Silicon Valley companies operate. So that more restrained board, I'm not shocked that they got pushed aside. It's not, it's kind of no fun among the Silicon Valley folks who just want to accelerate at all costs. So let's talk about Microsoft's role here. The information reports that the company's pledged$13 billion in funding to OpenAI. How symbiotic is this relationship between Microsoft and OpenAI, or is there one party that benefits more here?

25:23Where is this going? I think everybody benefits. You know, one thing that Microsoft brings to the table is Azure, its cloud computing platform. So OpenAI gets access to those kind of resources for cloud computing. And obviously, Microsoft gets the enormous benefits of having, getting to associate with the most transformative company of the last few years. Because Microsoft was, it's hard to remember it now because they're in this, they're flying high at the moment. But they really went through this kind of deeply uncool moment in Silicon Valley where no one really wanted to work with Microsoft.

26:03No one wanted to use their products. So their willingness to go all in on AI has been transformative for them as a company. And I think Satya Nadella deserves a lot of credit for that. He's kind of this mastermind who's brought them into a new era. So I think everybody wins. I think the other interesting thing to keep an eye on is the increasing consolidation of the AI powers that be under the Microsoft umbrella. Mustafa Suleiman had been hired to work at Microsoft. And Mustafa had been working on his own company, Inflection AI, which had gotten a lot of funding from a lot of big names and was shaping up to be one of these competitors in the space.

26:48So for him to be absorbed by Microsoft is just another signal that they are becoming this absolute behemoth in this space. And really, it's less that no one can compete with OpenAI. The question is, can anyone compete with Microsoft, which is going to be gobbling up all of these relatively smaller companies? Let's turn to Elon Musk, famously an early investor of OpenAI, a former board member. Back in February, he sued the company for straying from its mission. But it also seems like Musk feels a sense of ownership, maybe, over the company, even though he hasn't been a part of it since 2018. This is Musk in a CNBC interview from May 2023.

27:31Let's listen. So you helped to the creation of OpenAI. You put in as much as$50 million. More than helped. It wouldn't exist without me. It wouldn't exist without you. That's a really large claim. It wouldn't exist without me. What do you make of Elon's perspective here? So first I'll say I think the lawsuit is pure theater. I don't think it's at all a serious lawsuit. Why? What's the purpose? What does this serve? So Elon Musk is currently launching his own AI competitor. So the reason I think the lawsuit is pure theater is because his incentive is, you know, to publicly put down this other competitor who is currently at the forefront so that Grok, his chatbot, can move in.

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28:17And XAI, his company, can move into the space and diminish their competitor. I don't know Elon personally. I've never interviewed him. But everyone who does know him says that he's changed enormously over the last decade. So I would argue that actually Elon has probably changed even more than OpenAI has changed. The story that Sam tells of his departure was that Elon left because they basically wouldn't let him have sole control of the company. He wanted to call all the shots, and anything short of that was not good enough for him. He also wanted to have Tesla involved in developing the AI. So he really wanted to integrate it into his kind of egomaniacal worldview.

29:07and whether or not this is true about Sam, I don't know. But what people do say about Sam is that he's a little bit more of a team player, that he's a little bit more willing to listen to feedback. So, you know, again, whether or not that's true, I say that because when the board attempted to remove him, it didn't work. So if he wants to paint himself as not a dictator, that's not the most promising data point. But no, indeed. Yeah. Yeah. Sam Altman has expressed concerns about the availability of servers and chips that are necessary for powering AGI. How much more can they really do if they don't have the computing power Altman's talking about here?

29:47So I think everyone's getting greedy and impatient. Realistically, we're going to be able to pick up chip production. And, you know, there's a reason that companies like NVIDIA are doing so well right now. they're providing that infrastructure. It may not be fast enough to Sam's liking. It is worth noting that another thing that preceded the board coup in November was that Sam had been going around in the Middle East fundraising in order to try to get more compute power. He's also been talking to various power players in kind of the infrastructure fields, like SoftBank, trying to get more and more compute.

30:30So he's been hustling, trying to get that kind of power. I think it will come. I think that governments are starting to wise up. Biden was widely cheered on for the CHIPS Act, which kind of makes way for more of that kind of infrastructure capability in the United States. And then, yeah, there's something called Moore's law, which AI folks refer to a lot. It's this idea that the number of transitions on a microchip tends to double every two years, which leads to this exponential growth. So even if you don't have more microchips, the microchips are more sophisticated, they can do more. So yeah, I think that we can count on this AI development growing exponentially, whether that'll be fast enough for the impatient Sam Altman's of the world.

31:21I don't know. But, you know, even talking about these chips, let's get real. I mean, in a way, this sort of paints this picture for the public at large that there's, oh, so much more here. You know, we're about to open it up if only there was the computing power. And it sort of creates, it generates a kind of hype. And I wonder if AI companies can live up to the hype they've created around the technology? I think that Silicon Valley is very prone to magical thinking. Well, I like how you put that, magical thinking. But it also does stimulate the hype around it, right? Absolutely. Absolutely. And it becomes this kind of cycle.

32:01But I think one example to illustrate that is, you know, running these models is incredibly energy consumptive. And And it's going to reach a level that is completely unsustainable. And so someone like Sam Altman's response to that is, don't worry about it. I've been funding a nuclear fusion company, Helion. And nuclear energy is going to solve all our energy woes. So, you know, a lot of these people are operating on this assumption that energy is going to become so cheap and so readily available that we can continue this kind of exponential growth. Would I call that magical thinking? Absolutely.

32:41I mean, if we could solve that problem, why aren't we all all hands on deck trying to solve that problem? That's the single biggest problem of our world right now. So Sam is kind of known for having this interconnected ecosystem of investments. And so, you know, when I wrote about him in a profile last April, the way my co-author and I kind of described it was like this Rube Goldberg machine where he will have an investment. He'll have a company that creates one problem, and then he sprouts up another company that can solve that problem. And it just keeps going kind of until he's got this whole web of investments that all relies and depends on each other.

33:25So if one element fails here, it could all fall apart. Julia Black is a reporter at The Information Covering Technology. When Business Wars returns, we're going to zoom out on the future of AI and perhaps humanity. Stay with us.

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35:45Hey, welcome back to Business Wars. Julia Black has covered tech for more than a decade, focusing on how it intersects with media, politics, and culture. She's with the information. Julia, let's shift gears to Google. Big competition for open AI, although it must be said they appear to have been falling behind for a while, certainly behind OpenAI. And just when they seemed to be catching up, there was this disastrous Gemini rollout. How did that affect OpenAI and Google in the AI landscape? Yeah, I mean, Google in the AI area has been like the fumble of a century. I would not want to be Google right now.

36:25You know, this reminds me of when Google itself first appeared on the scene and Microsoft ended up taking a backseat and was coming up with all kinds of different search engines. And, you know, there's an echo there to me. No? Yeah, absolutely. And again, it goes back to this kind of musical chairs of who's in first at the moment. And it's always changing and you never stay in first place for long. So don't get used to it. But I do think that the kind of disastrous rollout of Gemini was really fascinating. The problem there was that this model that Google had developed had so many guardrails built in, had so many what has been called woke guardrails built in that it just became absurd.

37:11And so people were prompting it saying, you know, show me a photo of a Civil War soldier. And they were depicting a black woman in uniform. And it's like, that's just not historically accurate. So I think it had been trying to overcorrect for this problem of discrimination built into AI, which is, by the way, a real problem. It just kind of went too far in the other direction. And I think what's interesting about that is not necessarily that, oh, AI is too woke, we need to solve that problem. I think it goes back to the question of the personalities, the companies, the profiles of these companies, and how something as simple as, you know, the political views held by a founder is actually going to trickle down into these models and prove that there's no such thing as objectivity in AI models.

38:06That's a myth. So many people are saying, oh, what's great about AI is it's going to be able to answer questions, quote unquote, truthfully. but on questions, on so many questions, there is no objective truth. It's all through the lens of the creator. And so, you know, in Gemini's case, the problem was depicting, you know, too many Native American and Black characters where they didn't exist. But you could imagine any number of scenarios where the biases and the assumptions built into a model start spitting out information that can become really harmful in real settings. Yeah, we worry about disinformation currently in the social media realm.

38:49Imagine that sort of logarithmically multiplied in AI being a sort of a foundational cornerstone for what we get from AI and making the kind of misinformational mistakes in that realm. So how are the companies, the top companies in this space, talking about some of the existential questions when it comes to AI. I mean, it seems like even open AI has backed off this a bit. You know, I think that they all pay lip service to these fears that so many people have. Again, it's my cynicism coming out. I don't know how much they're actually going to be thinking about these kinds of protections when profits are at stake.

39:31But yeah, Yeah, mis - and disinformation, super dangerous as we come up on an election season. And then the kind of discrimination that you can build into something like a hiring platform. I mean, and again, you start to think about that's just one example, but we're talking about having AI replace all these tasks, even all these jobs potentially, which, you know, is why I think it's so important to look at the personalities crafting these things. You can think of any daily task that you do and then say, oh, well, what if you replaced yourself with a racist algorithm to do that task? That could go really horrifically wrong really quickly.

40:11So once you start building ideas like that into a system, that's where I think the real danger is posed, not so much the paperclip maximizer. But, well, I think that's just it. A lot of us aren't even sure we're asking the right questions about AI right now. It gets back to what you were saying earlier about the dawn of social media, and we didn't really see some of the issues coming up. We can look through that glass very dimly right now with AI, but it's not even clear to what extent some of these questions that we're talking about are going to be major issues, and yet it feels very uncomfortable.

40:46You look in the AI space now. You have top brass like Jeffrey Hinton. He's been called the father of AI by some folks. He's voiced concerns that it may become human-like in its rationale. And then there have been other rumblings of the existential threat that AI could pose. And I'm curious how you think folks should interpret that sort of perspective. What's the line between fear-mongering and being cautious? Currently, we're kind of divided between short-term and long-term risks. and I personally am of the mindset that focusing too much on long-term risks, which includes kind of AGI coming out and becoming a superpower and becoming murderous, like I think that's less worthy of our attention at the moment than these short-term risks.

41:37They're a little more down to earth. They're a little more boring. They're a little less sci-fi. But again, just thinking about how we train our algorithms and how that trickles down into real world results. You know, hiring discrimination is one way of thinking about it. It could be in terms of city planning, making decisions for broad populations. If you base that on certain algorithms interpreting data in a biased way or in a way that benefits some people more than others, I think that those are the problems that are much more worthy of our attention for now. And I'll leave it up to the experts to really ring the alarm bell when that Q star or whatever it is starts to demonstrate true reasoning capability, anything that actually looks like super intelligence.

42:31But I just don't think we're there. I think that the current AI models that are out on the market are much, much more familiar than we actually think they are. I think that inherently the doomerism is tied to the very same hype cycle that is leading to this funding boom. It's kind of this interesting catch-22. It's like, I think all the founders right now are dancing this fine line between telling us how great their product is, how powerful it's going to be, how massive a development this is. And then just making sure they don't go too far in convincing us that it's actually going to become all powerful and kill us all.

43:11But they still want you to believe that it's really amazing and really, arguably, I would say, overblown. So I think we should just remember that these are more familiar algorithms than we think they are. A lot of this stuff is already playing out in our daily lives. Every single one of us who gets on our phone is being affected by AI all day. It's in the music algorithms that tell you what to listen to and tell you what to buy and tell you who to be friends with. I think we're all being shaped by algorithms every single day. And so it's worth remembering that this stuff isn't sci-fi. It's actually quite familiar and close to home.

43:50And so it's worth thinking about how it's already affecting our daily lives and what the next step is rather than what 100 steps down the line looks like. I like the direction you're talking here because I would love to end on a positive note here, Julia. Is there something in the AI space that you're actually pretty hopeful or excited about? You know, it's funny. I think that there are so many exciting applications of AI. One of them is in government. I think if we could find a way to take the massive amounts of data that we have about our populations and use that data for really exciting, novel ways of making our society better, of making things more efficient, of, you know, like we should live in a world where no one ever has to deal with an insurance claim ever again.

44:44We could live in a world where our governments are run more smoothly because they're not held up in bureaucracy, but instead have super efficient AI systems. We could live in a world where AI could be used to come up with novel drug uses and cure cancer. Like, I do think that there's a lot of people working on pretty exciting applications, but unfortunately, it's not as sexy as the generative AI boom and the video generation and the chatbots. I think that that's getting all the attention right now, whereas what's actually exciting about AI to me is the boring stuff, the replacing bureaucracy, replacing drudgery, replacing, you know, tasks that no one wants to be doing.

45:28That's the kind of AI I would love to see more of that could just make our lives less dull. Julia Black is an investigative reporter at The Information covering the intersection of tech, media, politics, and culture. You can find on X, formerly known as Twitter, at MJN Black. Julia Black, thanks so much for joining us on Business Wars. It was great to talk with you. Thank you so much. It was a great conversation. Next time on Business Wars, we'll find out how Allbirds, the shoe company beloved by Silicon Valley and even Barack Obama, fell out of step with investors and customers. Don't miss it.

46:09From Wondery, this is Episode 4 of Sam Altman and the Battle for Open AI for Business Wars. I'm your host, David Brown. Kelly Kyle produced this episode. Peter Arcuni is our Senior Interview Producer. Karen Lowe is our Senior Producer and Editor. Edited and produced by Emily Frost. Sound design by Kyle Randall. Additional audio assistance by Sergio Enriquez. Dave Schilling is our Senior Producer. Our senior managing editor is Ryan Lord. Matt Gant is our managing producer. Our executive producers are Jenny Lauer-Beckman and Marshall Louis for Wondery.

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From the publisher

A lot has happened at OpenAI since that whiplash week in November 2023 when the board ousted its chief executive. There was an investigation to determine whether Sam Altman’s firing was just, and a lawsuit from OpenAI co-founder Elon Musk. Meanwhile, the company’s competition has been charging ahead. Julia Black, a reporter with The Information, joins host David Brown to break down the latest developments and shed light on where Sam Altman — and the future of AI — are going next. 

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