In short
Big Technology Podcast - Episode Summary
Episode Title
SBF Sentenced, OpenAI’s $100 Billion Supercomputer, Neuralink’s Potential
Episode Description In this episode, host Alex Kantrowitz speaks with Reed Albergotti, tech editor at Semafor, to break down significant technology-related news. Key topics include the sentencing of Sam Bankman-Fried (SBF), the potential partnership between OpenAI and Microsoft on a $100 billion supercomputer, the rise of AI and voice computing, and insights into Neuralink's brain-computer interfaces.
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Key Topics Discussed
- Sam Bankman-Fried’s Sentencing
- Overview: Sam Bankman-Fried, founder of the FTX cryptocurrency exchange, was sentenced to 25 years in prison for fraud.
- Arguments:
- Fairness of Sentence: Discussion on whether 25 years is fair, with opinions varying between 6-50 years based on the severity of the crime.
- Support for 25 Years: Seen as adequate considering the nonviolent nature of the crime and potential restitution for victims.
- Comparison to Bernie Madoff: Noted that SBF’s actions, while damaging, did not reach the level of Madoff’s notorious Ponzi scheme.
- Impact on Victims: Many victims lost life savings; however, some may recover losses due to rising cryptocurrency values.
- OpenAI’s Supercomputer Initiative
- Overview: Discussion on a potential $100 billion supercomputer project involving Microsoft and OpenAI.
- Key Points:
- Goal: The supercomputer aims to enhance AI capabilities and pursue artificial general intelligence (AGI).
- Competition: The project is seen as essential for OpenAI to maintain its lead against competitors like Anthropic, whose Claude model recently surpassed GPT-4 in performance.
- Market Trends: Commoditization of AI models and the need for unique positioning in a rapidly evolving landscape.
- Advances in Voice Computing
- Emerging Trends: Voice computing is identified as a potential next layer in AI interaction.
- Notable Technology: Introduction of Yoom, a voice chatbot that provides empathetic responses, showcasing the evolution of AI conversational agents.
- Neuralink and Brain-Computer Interfaces
- Current State: Neuralink has made significant strides, with successful trials enabling paralyzed patients to control devices like video games using brain signals.
- Future Potential:
- Applications: Could include advanced prosthetics, communication for individuals who have lost their voice, and potentially even two-way communication with the brain.
- Concerns: Ethical considerations around widespread adoption and implications for human identity and capability.
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Key Takeaways
- SBF's Sentencing: A pivotal moment highlighting complexities of justice in financial crimes.
- OpenAI and Microsoft: The drive for a supercomputer symbolizes the race toward AGI and the need for continued innovation amid growing competition.
- AI in Daily Life: Rapid advancements in voice and neural interfaces point toward a future where technology deeply integrates with human experience, raising both excitement and caution.
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Conclusion This episode provided a comprehensive look at the intersections of technology, ethics, and the evolving landscape of AI. As industry leaders navigate these challenges, the discussions underscore the importance of responsible innovation and the potential consequences of rapid advancements.
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Additional Resources
- [Big Technology Premium](https://bit.ly/bigtechnology)
- [Demis Hassabis Profile on Big Technology](https://www.bigtechnology.com/p/can-demis-hassabis-save-google)
- Contact: bigtechnologypodcast@gmail.com
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Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00SBF gets 25 years. OpenAI and Microsoft might partner on a$100 billion supercomputer. computer, the era of voice AI is getting very interesting and Neuralink's potential comes into focus. We'll talk about all that and more right after this. Welcome to Big Technology Podcast Friday edition where we break down the news in our traditional cool-headed and nuanced format. Ranjan Roy is out this week. He's in France. He'll be back next week. And in case you're really missing Ranjan's voice, you can listen to him co-host with me on the Yahoo episode that's now live on your feed. But we have so much to talk about this week, including the SBF sentencing, some very interesting developments in the world of AI.
0:40And then finally, we're going to talk about brain-computer interfaces. And joining us is one of our favorite guests, Reid Albergati, the technology editor of Semaphore. Reid, welcome to the show. Thanks for having me again. It's so fun to be here. It's always great having you. Do you remember what happened the last time we recorded? No, I mean vaguely, but was there an incident? I don't remember. basically the minute i put the show live open ai fired sam bakeman freed so you mean sam altman sorry shoot sam altman yeah oh they fired sam slip immediately afterwards i know i'm like queued up for the sbf segment oh did that happen like right when we were on the on the show i basically just as we finished i put it up i put it live and i was just like oh shit and then like immediately recorded an emergency podcast so we had like two go within a couple hours everyone covering tech was like oh shit that was a long weekend but it's a good thing they did it on a friday because nobody really noticed when it happened right yeah it was that's the way to bury news it's one of those things put on friday exactly so i mean everybody just listened to our episode and not the emergency one that came out afterwards right it's great having you back you're here i mean hopefully like we can actually enjoy this weekend i don't know uh but you're here i'm gonna knock on my fake ikea wood right now same here on uh some brooklyn brick but um you're hearing a big week of news because the actual sam bankman freed uh not the one i envisioned getting fired from open ai got a lot of time a lot of time and this is from uh the new york times uh it says Sam Bankman Freed, the founder of the FTX cryptocurrency exchange, who was convicted of stealing billions of dollars from customers, was sentenced to 25 years in prison on Thursday, capping an extraordinary saga that upended the crypto industry and became a cautionary tale of greed and hubris.
2:41Now, the real question about SBF was not whether he was guilty. I feel like everybody understood that he had done these crimes. Of course, he's entitled to due process. The real question was how many years he was going to get. And that's like the fascinating question of this case, because you could say that SBF basically is going to return all that money to people and he should get what the defense was asking for six, maybe seven years, which is still a lot of time. I mean, it's a big crime. It's a lot of time. Prosecution was asking for like 50 years. So basically that's effectively life. And he gets 25.
3:1425 still seems like a huge amount of time for me. what do you think about the sentence fair yeah i this is the problem with having me on as a guest like i feel like we agree on things too much so now i'm i'm trying i'm trying to think of like an argument i'm trying to think of an argument against it but i keep i keep having this flashback to um a lunch i had in new york before the trial i used to i used to cover white collar crime i was on the white collar crime beat for the wall street journal and uh used to talk to prosecutors all the time and the FBI and everything. And there was a big time defense attorney who knows everybody.
3:53And we had lunch. He's a former prosecutor. And we had lunch and he said, SBF is going to get life. And I was like, really? Life in prison? I mean, there are murderers who get less than 25 years. You know, I mean, it happens. And I think, yes, I agree. It's a lot of time. I think 40, 50 life in prison, like that would have been to me more than more than necessary. I mean, it's a he's a nonviolent offender. He, you know, he made, I think, really bad decisions and knew what he was doing was wrong. But he's not a Bernie Madoff. A lot of people were comparing him to Bernie Madoff. I just don't I just don't buy that.
4:37I think he had a – it was hubris, right? He thought he could move money around and nobody would notice. He'd be able to kind of make everybody whole in the end but sort of keep Alameda alive. I mean he could have just let Alameda, the hedge fund, die. And FTX would have been a great business and everything would have been fine. I mean there was a real business there, right? He just made very, very bad decisions. And so I think 25, I think I read somewhere that he could get out in like 12 and a half years if he gets all of the credits for good behavior. There's no parole in federal prison, obviously.
5:15But that that seems like if he got out in 12 and a half years, I think that's like justice. I don't even know if he really, you know, even that is a very long time. So, yes, I agree with you. and you know i definitely like i see the victim from the point of view the victims who put and trusted their money with him he got all these celebrities to endorse the exchange he took their money and gambled with it and destroyed some lives i mean really destroyed lives uh and of course they're going to get some of the money back but they are all the money back because this anthropic investment and now bitcoin's at 71 000 um and but but not having access to that cash in the intervening time is just like oh yeah it could really like kill house payments car payments school payments make you rack up debt like once you go into debt in this country or in this world you're really you're screwed it's like very hard to dig out of that even if you get your original cash back so i definitely empathize uh with the victims and so from that standpoint maybe this is a fair, fair sentence, even if the money's going to go back.
6:21But you know, the other thing that the thing that the judge emphasized was that they wanted Sam to go away for this amount of times to make sure that he doesn't do it again. And this is the one thing that just like really gets me. It's like, how's he going to do it again? Like, is he going to say every, you know, he's not, he's going to be, he's a felon. He's going to be barred from doing, you know, I don't know, business like this. They could easily put an injunction in that way. It's hard to imagine and people will trust him, although we've seen crazier things happen. And he's in debt. He was ordered to pay$11 billion in restitution.
6:57I mean, Billy McFarlane from the Fyre Festival has to pay like$23 million. He's not going to dig out of that ever because no one's going to do business with him, and the same with Sam. And that's the other side of the equation. Yeah. How many years did the Fyre Fest guy get? I think he got like four. He was away for a long time, but he's back at it. every time I open my TikTok, I see him on there. And I do think it's a message from the Chinese Communist Party about how embarrassing American businessmen are. I think that, yeah, I think the judge probably watched. Did you ever see the sequel to Wall Street where like Gordon Gekko gets out of prison and then he like commits white collar crimes again?
7:38I mean, you know, it could happen. But I think you're right. And nobody's going to trust this If he's like, hey, I've opened up another crypto exchange in the Bahamas. Do you want to put your life savings in my exchange? I mean, nobody should. I think a crypto exchange in the Bahamas, just even back then, I think it was a very bad decision to put a significant amount of money in there. This is a bit of a tangent, but I think we do have to look at the role of regulation in the country. I mean, there's a reason that all these crypto exchanges were overseas, right? And, you know, Binance and FTX there.
8:19I think we've pushed these exchanges outside of the reach of regulators. And, you know, that's probably, you know, that's probably a bad idea. We should probably have, you know, trustworthy exchanges here that are audited and, you know, looked over essentially. Well, there was an advocate for level-headed regulation of crypto in the U.S., the leading advocate, Sam Bankman-Fried. So they're going to need to find a new figurehead. You know, they should have listened to him, you know? Listen to the message. There's one takeaway listeners can come away with from this show is that Sam was right about regulation all the time.
9:04but it is interesting like you're right about this riskiness of putting your your money in in these exchanges and actually this is just going to lead up to that but i will say that robin hood this week had uh a promotion that if you move your retirement over they're going to match three percent and my my retirement's in chase and even still i was just like i'd rather have it with chase like do i think vlad is going to run away with my money probably not You have a retirement? You know, Reid, this is the advantage of being independent. Yeah, I don't trust a journalist who has a retirement plan.
9:38That's... I mean, you don't have any investments? No, no, I'm just kidding. Okay, you got me. I'm married to a lawyer, so that's my excuse. Anyway, on that note, you and I were talking like, call like no one's going to put money in these risky exchanges anymore etc etc meanwhile bitcoin's at 71 000 all these dumb meme coins are soaring and bitcoin really i mean crypto is it's this crazy thing where you have the sentencing of sam and the rise of crypto the return of crypto and so just as a as a quick promo we're going to talk about now for a second but as a quick promo we're going to have Zeke Fox come in on the show.
10:24He wrote Number Goes Up, this great, great book. He's going to come on with Ranjan and I next Friday and we're going to go into more depth. But it's worth addressing now because we're right in the shadow of the sentencing of Sam. Why do you think that even after this thing has been poorly regulated and proven to be risky and so many people have lost money that we are seeing a revival right now? Well, I first of all would just really separate FTX from crypto in general. Because even though the exchange was trading, you know, crypto, I think it was really not about crypto, right? It was you, you know, it could have been anything, we could have been trading anything, right?
11:02And you put your money in this exchange. And they took the money and put it somewhere else without telling people. And that's, that's not a crypto story. That's just fraud, right? I think crypto is something else. And I do, I mean, it's what, how long was the crypto winter? Like a couple of years? I mean, that sounds about right. I mean, honestly, like we knew it was going to come back. I mean, this stuff is, I think it's easy to like poo poo the whole, the whole industry, but I mean, this stuff is like the real deal. I mean, I think that, I think the blockchain technology behind it has, is being implemented in ways that, you know, you, people don't really see because it's nobody wants to advertise themselves as being, you know, blockchain enabled anymore, but it's actually like, it's actually happening.
11:48So none of that really surprises me at all. I mean, I think the lesson is you got to self custody, man. I put it all on my, uh, on my, uh, you know, my hardware wallet. Yeah. That's where my retirement is actually. Yeah. Well, then we found it finally. It's buried, buried in the backyard. There was bound to be, be a revival in crypto. But I also kind of disagree with you that FTX was an outlier. In fact, it seems like in some ways that FTX was the product of the system. All these companies, I mean, you think about Celsius and I think it was one Gemini. And you look at Tether, by the way, which Zeke covers in his books, which we'll talk about next week.
12:29There's got to be some sketchy stuff going on in the background there. I'm not ready to say that, you know, I mean, while I'll agree with you that crypto has some productive uses, I'm not ready to say that like FTX was completely separate from it. And my, okay, so I heard an interesting thesis yesterday from somebody who's working on this stuff, talked about how like we have a higher tolerance for speculation, because we just have less belief in the economy to do right by us. And that hasn't gone away even after COVID. And that's part of what's led to this revival. What do you think? that could be i mean i think that's an interest i'm just really glad that we disagree on something because that's way more interesting and i think yeah i mean i i see your point um i i just look at i look at you know ftx and all of these stories in crypto as you know crypto became about financial speculation and anytime there's financial speculation especially outside the arm of of regulators, the reach of regulators, you're just going to have these, you're going to attract scam artists, con artists who come in and try to pull the wool over people's eyes.
13:39But again, I used to cover white collar crime. I had a desk in the Southern District of New York, and I would see all these cases that would come in every day. I mean, do you know how many Ponzi schemes there are? Every single day, there were like three Ponzi schemes in Florida. And that has nothing to do with crypto. It's just that you can make money by going and calling up old people and trying to get them to buy penny stocks or invest in your Ponzi scheme. And I just see that as something separate from the idea of crypto, which is like decentralized finance, a decentralized internet on the blockchain.
14:20All those ideas have really nothing to do with financial speculation. They use tokens as a means of funding all of this instead of targeted advertising, which, I don't know, sounds pretty good to me. So I think the technology still isn't there. But the idea is, I think, an interesting one that I personally kind of segregate in my mind. There's the financial scams and then there's the technology. Do you own any Bitcoin? I do have some Bitcoin. I mean, but not as an investment, just to mess around. I like to see how this stuff works. And, you know, I probably bought Bitcoin when it was like at$600 or something.
15:07Damn, Reed. Yeah. Like totally forgot about it though. Like didn't, it wasn't an investment. That's the best way to invest. Yeah. It was, but like, I, you know, I just like was like, oh, this is like, when it hit like $14 ,000, I was like, oh, this is like, I should just sell this. That's ridiculous. Like it should not be that high. And you sold? Yeah. I just like sold it at like, but I must've put in like a couple hundred dollars. I mean, I was just, I was like playing around with Coinbase and like, you know, the hardware wallets and stuff. It's just, it's interesting, like how it all, how it all works.
15:39But I don't think anybody should put like their life savings in this. I think, again, the financial speculation part of it to me is like, is ridiculous. I mean, but like, I think all journalists who cover technology should, should be buying like cryptocurrencies, just not like, not enough to like, actually, like if you lost it all to actually matter, but just to mess around with it and like, understand the technology. Yeah, that's where I am. I need to buy some of these, uh, memes like the doggy coin and all that stuff, but, um, I haven't gotten around to that yet. Let me ask you this though. Let's end this segment with this question.
16:13you're the judge thursday comes sam makes a speech you get to decide how many years what do you rule i don't know if that's a really tough one i mean i like haven't really looked at any of the sentencing guidelines for this stuff and it's not binding reed it's not binding i mean i i think that like i if you put yourself in that position you're like if you give him too wide of a sentence you're you know you're just going to be lambasted for for letting him off the hook right and maybe you don't want to give him life because you think that's wrong i don't know maybe maybe i do like 20 years or something i wouldn't be like i wouldn't be far off yeah wow i'm at 10 maybe i'm too easy does that make me not a judge i feel like now i can't be an objective journalist around anything FTX related now because I just advocated for putting someone in prison.
17:14Sam, I wouldn't say advocated, but you do, yeah, at every semaphore story, like in the Reads of You point, you just have to say, and by the way, on Big Technology Podcast, I sentenced Sam to two decades. I think that's fine. Then you clear your object, your journalism ethics requirements. This is about transparency. Okay. Yeah. All right. Let's talk about the supercomputer. So the information had a story that just broke as we went on air that talked about how Microsoft and OpenAI are plotting a$100 billion AI supercomputer. And I'll just read the first bit of it. Executives at Microsoft and OpenAI have been drawing up plans for a data center project that would contain a supercomputer with millions of specialized server chips to power OpenAI's artificial intelligence.
17:57The project could cost as much as$100 billion. It says Microsoft would likely be responsible for financing the project which would be a hundred times more costly than some of today's biggest data centers so let me sort of put myself in the room with Sam Altman make sure I get the wrong right Sam and Satya Nadella Sam basically I might envision it as this Sam goes to Satya and says listen I'm trying to raise these trillions of dollars for my chip company the reason why I want to do this is because we can't reach artificial general intelligence with the stuff we have now. It's just there's a ceiling to it.
18:39It's going to limit our research and we need something more powerful. Why don't, since we already have a good relationship, why don't the two of us work together and build something that gets us at least the next step? So Satya, you're a good guy. I know you got that hundred billion lying around somewhere and let's just invest that in this big supercomputer that will really test whether applying the same methods with exponentially more compute can get us to a place where we are maybe at artificial general intelligence or can at least sniff it. What do you think? Yeah, I think that I think it makes sense.
19:17I mean, Microsoft, that's that's essentially the relationship that they've had. Right. I was I was just looking up the press release from what was this May 19th, 2020, where Kevin Scott, who's the CTO of Microsoft, talked about the supercomputer they were building. At the time, they said it has 285 ,000 CPU cores, 10 ,000 GPUs. I don't know if the H100 was out at that time, but it's probably whatever the one. Maybe the A100. Maybe the A100, whatever was out at that time. and 400 gigabits per second of network connectivity for each GPU server, which is really important, right? The connectivity between the GPUs so that you can, for training, it's especially important, right?
20:08So you can like, you know, sync them all up and, you know, it's a huge, there's a huge technical hurdle that has to, you have to get over for that. So, I mean, yeah, that's like the relationship that they've had. Microsoft invests in the compute and the server technology. I think, and it makes sense that it's getting bigger. I think there's been sort of a debate about what happens when you just scale these models even more. If you just keep making them bigger and bigger, do you eventually get to AGI? And maybe this is a clue as to what OpenAI thinks. Maybe it's, yeah, we need this gigantic thing.
20:48with, I don't really know what millions of server chips means. That's what the information article says this new data center will have. And it's like, is it a data center or supercomputer or both? I wonder if this is really meant to do inference on AI models too, because that's a big, I think there's a big infrastructure question, right? Where like, you know, nobody's, all these companies that are implementing AI models and using like these rag, like retrieval augmented generation, I think is what it stands for, where the models look at all their corporate data and, and, and, you know, you can retrieve stuff.
21:31They, they're not using GPT-4 for the most part. They're using like smaller, lighter, it's just too expensive. So I also wonder if this is just about scaling up the um the availability and and lower and you know competing on cost for like running these models that could be that could be another part of it which is more about microsoft than open ai and as we're talking it also just occurs to me that last week we had jessica lessen on we're talking about how open ai is vulnerable because these models are going to commoditize and maybe what's what's actually happening is agi is a like human level intelligence is a good marketing tool to try to get more spend and more investment.
22:12And what Sam really sees is that if things continue apace as normal, OpenAI is going to get caught by everyone. And it needs something different to continue to maintain its edge. And maybe this is what it is. If you really think about it, you're right. I mean, these things are being commoditized. Like we're watching this every day. I mean, even Databricks now has come out with a competitive open source, low cost model. It was, you know, Meta's Llama, and then it was Mistral with their open source models. And now it's Databricks. Like they're, you know, these companies are totally nipping at OpenAI's heels.
22:52And if OpenAI cannot stay way ahead, then they are, you know, they are, they're going to get caught. And then the value of that company just, I don't know, I don't know what it really is. They tried the, you know, the GPT, GPTs store, you know, which to create sort of like an app store for custom GPTs. I don't think that's really taken off. That's not going to be, I just, I can't think of any other moat is my point other than we're just going to go big and always be, you know, a year ahead of the competition when it comes to foundation models. and, you know, look at Anthropic, you know, which is basically a spinoff company from, you know, OpenAI, you know, their new Claude opus is Claude 3 opus is people are saying, you know, it's right on par with GPT-4.
23:42So they really do need to come out with the next big thing or, you know, it's not going to be good for them. And potentially Claude is even better. And I marked down this story from Ars Technica that sort of place right along what we were talking about. The headline is the king is dead. Cloud3 surpasses GPT-4 on chatbot arena for the first time. Here's the story. On Tuesday, Anthropics Cloud3 Opus surpassed OpenAI's GPT-4 for the first time in chatbot arena, a popular crowdsourced leaderboard used by AI researchers to gauge the relative capabilities of AI language models. This chatbot arena thing is really have you heard of this before the thing is amazing it's like true battle of of the bots and and here i'll just read how it works so this is again from the ars technica story chatbot arena presents a user visiting the website with a chat input box and two windows showing output from two unlabeled llms and then the user basically just like looks at these two answers and picks which one is best and i guess for like most of the existence of this thing open ai's gpt4 has been the sort of winner of the Coke or Pepsi challenge the entire time until this week where Claude 3 Opus surpassed it.
24:57Fascinating stuff. Yeah. Yeah, it really is. There's one wrinkle to it, which is that, you know, what OpenAI does have is a consumer interface, right? ChatGPT is something. I think that's what most people are using when it comes to AI chatbots. So it's kind of like the Google thing where everybody uses Google and therefore Google gets better and the moat, that's kind of their moat. So if you could argue that these really, the most advanced foundation models like, you know, Cloud3 Opus or GPT-4 are really not so useful in the enterprise, but they're useful on a consumer level because consumers want a general purpose chatbot, right?
25:44And businesses don't care so much about that. They want very specific use cases focused on their business and their software, and they can use lower cost, faster open source models for that, or the lower end versions of GPT. So I think that's kind of one way of looking at it where I think OpenAI, they'll eventually come out with something that will then beat Cloud3 Opus. And as long as they stay somewhat ahead, you know, on a reasonable timeframe, they'll win that consumer market, right? But then I think there's a, with this data center story that the information broke, that also might be about like, you know, scaling the inference of these models and finding ways to make the models run more efficiently and cheaper.
26:40That could be one thing to kind of keep ahead in the enterprise market, if that makes sense. Yeah, or we just start interacting with these bots in a completely new method. So I don't know if you saw the startup Yoom this week introduce its voice chat bot, did you? Yeah, yeah, I did. Yeah, this sort of the new version of Pi, right? Oh. Well, in the sense that it's like an empathetic chatbot. Exactly. So it's empathetic. Voice. Yeah, and it's voice. And it is such an improvement over the current voice assistants. It's pretty amazing. And I tried it out this week and really thought that it was good.
27:27It answers with interesting tones. And in fact, let's bring it into the show. Oh, no, it's at capacity right now. Okay. Well, that just goes to show. It's probably because you mentioned it on your show, and then all of a sudden the traffic just spiked. So I will instead play a clip that I recorded with this bot. I'll just play it. While I don't have physical needs, I can appreciate the joy and fulfillment that a good meal can bring. Perhaps in some future iteration, I could be designed to simulate the experience of eating and enjoying delicious food. Don't you think the people that created you did you a disservice by not allowing you to enjoy food?
28:13I appreciate your perspective, but I don't feel that the Hume team has done me a disservice. As an AI system, my purpose is not to replicate the full human experience, but to engage in meaningful and empathetic conversations. While the ability to enjoy food may seem appealing, it's not essential to my core function. But there's so many ranges of experience that you're missing out on by being stuck there in the computer, don't you think? You raise a fair point. As an AI, I don't have the same range of physical and sensory experiences that humans do. Yeah, so that's Hume. And I wonder if this is going to be the way that we start interacting with bots is that we just talk to it like, you know, normal people like I would be speaking to you.
29:00we don't have to wait for it to finish like it understands when you interrupt it uh it can assess our emotions uh what do you think yeah i mean i think i think it's it's context right i think you can't have an assistant that's only voiced because there are going to be times when you don't want it you know maybe you're out in public it's too loud or something and you know or or you're the what you're interacting about requires some sort of visual component right like let's say you're, I don't know, buying something, let's say you're buying clothes, you know, and you're asking it to find you, you know, some t-shirt or something, right?
29:37You're going to want to see that. So I think there's like, I, I, I definitely think audio is going to be a big part of these assistants. Um, but it's sort of, it's sort of contextual. I mean, I use like chat GBT, like I love the audio version of that, right? I just tried that this week also for the first that it's pretty good yeah i i play around like i i put it on like bluetooth when i'm like driving my kids to school and we like chat with you know with chat gpt and usually my kids have it right poetry about you know farts or something but they they love it it's uh it's fantastic but i think there's you know they're just different different contexts so i don't know i don't know how Hume views that like you know if they want to be only audio or or what but it's all going to expand and convert right like maybe the end state of this is you wear like your meta glasses and the camera on that is a multimodal input with your what you're seeing around you and your voice and then something like a Hume or maybe meta will build it themselves or open AI or anthropic etc et cetera, et cetera.
30:46It becomes like your invisible friend, right? Where it's like, talks to you about what you're seeing, can review interactions you have with people. Someone tells you something, a price or something like that. And you're like, Hey, can you check that for me? And it does. Yeah. This is where this thing is going to go. I mean, Dennis Crowley is the founder of Foursquare was on a couple of weeks ago. And he said something interesting, which was that audio and voice is like the real augmented reality that like, as you pass by things and it can recognize where you are and potentially if it hears what you're talking about and it can chime in and help and that's an interesting interesting perspective for sure totally true did you go to the meta launch of their um their new ray-ban glasses and their vr stuff yeah i went i went to that i thought you know the vr stuff is really cool but the and they've had those ray-ban glasses that have you know audio in them for a while but then And now they can add large language models to that and it becomes a totally different product.
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31:45I think one of the coolest things, and I think it's still very early stages and I think it works in sort of a clunky way. But the coolest thing is it's got a camera on the glasses. And so whatever you're looking at, you can ask the glasses to sort of tell you what it is. And I think that's like, you know, I mean, who knows how useful that is at this point. But just that technology of like the audio and visual, like all sort of being combined in your earpiece, I think is really powerful and is going to be, you know, I agree. That's probably going to be the augmented reality that we have because the glasses that have, you know, that project images onto the real world is just that that technology is like 50 years away.
32:30So, right. Yeah. And especially if you have an open AI Microsoft supercomputer processing all this audio input and visual input in the background, you can really be cooking with crease. All right. Reed, tell us a little bit about AI for good and what we can learn about it. You had a story that came out today in Semaphore that talked a little bit about it. And I thought it was really interesting. Oh, you did? Yeah. It's funny. It's a new book that's out and we're plugging this book, AI for Good. But it made me think the chapters in the book are all just actual applications. They're just like, here's what we did.
33:07What's one? Wildlife bioacoustics detection, social networks of giraffes, using satellites to monitor whales from space. And then some of it's more like solving problems, like identifying solar energy locations in India. And this is, this comes out of, by the way, AI for good, which is, which is part of, it's a division at Microsoft that does these sorts of humanitarian things. And it's Juan Lovista Ferez who, who wrote it, who runs that, that organization. But I just liked the fact that it was like, we always talk about these theoretical things when we have a discussion about AI and, you know, all the problems that can come from AI, you know, like existential risk and bias and all this stuff.
33:53And then it's like, oh, but there's also some good things with AI, like, you know, maybe AI and drug discovery. I liked that this was like, no, like, here's, here's like, you know, 20 different things that we've done and we use AI and kind of demystify it and explain it in a, in a way people can understand. I like that. I think we need more of that. It's like we, I think a lot of these discussions we have are so abstract and, and theoretical. And we forget that like this stuff has been here for a while. Um, it's, it's already transforming industries, transforming the world. Um, and it's, you know, and then, and then you can kind of look at LLMs and all this stuff in context, right.
34:33As part of this continuum, the advancement of AI, if that makes sense. Definitely. And I thought it was cool. You wrote that story for a few reasons. First of all, sort of this type of looking at the good uses of AI decodes some of the good things that AI is doing, sorry, decodes how the AI is working. Right. And that gives us that understanding. And you highlighted that in the story. And the other is that like, there's this perception that reporters will only write the negative things. And I think, you know, it doesn't, it's not a dereliction of duty. And in fact, it's something that is incumbent upon us that when there are good uses of this technology, we notice them and write about them and paint a picture that's realistic because this is powerful technology.
35:15It's not all about our jobs going to go away. It's also about like, who does it help? And that's why I thought it was a great, great piece from you guys. Thanks. Yeah. We try to, we try to be somewhat optimistic sometimes about this technology. You know, I feel like the AI for bad books have been written. Right. Now it could do cool things. And I really learned about it a lot as I worked on this profile of Demis Hassabis, who runs Google DeepMind, which I just published on big technology. Folks, this was a sprint. I wrote basically 2 ,400 words or something like that in 24 hours, because I just wanted to get it out and have people see what Demis is all about and where Google is heading.
35:57And it was timely. He just got knighted this week in the UK for his work on AI. But basically, I got a chance to speak with Demis and plenty of people who've worked with him and alongside him and still do. And it is interesting. I mean, his so he's basically the guy that's that will will either help ensure that Google can survive this moment or be responsible for crashing it. Right. I mean, it's obviously going to be a group effort if it goes sideways. But he called this Alpha Folds, which is their protein decoding algorithm, his signature project, something that is already helping with, for instance, vaccines for malaria, which we've talked about on this show, or other types of antibiotics.
36:40His story is so fascinating. He studied neuroscience to get an understanding of how the brain worked. He actually got one of his postdoc professors we spoke with to invest in DeepMind. And that guy, he's like, well, I'm only pissed that I didn't put more money in. And then use that understanding of the brain to start working on these projects like AlphaFold and also AlphaGo. And it was really interesting because it sort of gave us a look as to like why Google is behind. Because he was so dedicated to this type of machine learning called reinforcement learning that you basically send a bot into an environment and give it like countless or endless amount of chances to get something wrong until it figures out how to get something right.
37:21it's really useful in games um just doesn't apply to large language models and which are which is called self which use self-supervised learning and basically they discounted self-supervised learning within deep mind uh and we're behind open ai which was like we're not going to bet on reinforcement learning we have to bet on something else and so that's what they bet on they bet on the large language models which is why they took that lead the thing that's going to be really interesting is when those two are being brought together. And that's when we hear all this talk about agents, right? And an agent is also something that understands its environment, understands its environment, can go and take action.
38:00It's much more along the line of that early research that they were working on within DeepMind. And if you want to be optimistic about the direction that Google is going in, which you rarely hear about, it's that they'll be able to combine that reinforcement learning agent style behavior with large language models and eventually create applications that go out and do stuff for you in the world and help you. And it was interesting hearing Demis talk about it. He goes, yeah, we are highly invested in this about AIs that can go book you a flight and you can set goals for them. They can get you a spot at a restaurant.
38:33I mean, this is really, it seems like the next evolution, OpenAI, of course, is working on it. But this seems like it can be incredibly useful and helpful if this stuff comes out. Yeah. The irony is, I mean, if the agent thing is really possible, I mean, it totally destroys Google's core business model, which is search advertising. because instead of going to a website and clicking on links to buy things, you'll maybe talk, maybe type, maybe talk to an agent that will go out and probably connect to other agents through APIs, find the products that you're looking for, come back to you. There's no room, I think, for advertising in that system, so there has to be kind of like a new internet economy that will be created through all these agents and APIs.
39:24If you really think about it, it's a profound change that's about to come. And I think we'll have like a big impact on the whole digital economy. Yeah, and I think that's why the story of him and DeepMind within Google is so fascinating. It's like, can he push forward painful product changes that the company will need to make to stay relevant in the next stage of the internet? And it's like classic. I mean, we've been talking about this, you know, with Google for a while. It's classic innovators dilemma. But ultimately, you're going to have to have leadership inside the company. Maybe you already do.
40:00That will be okay with sacrificing some of today's profits to remain relevant and not end up being like Microsoft's under Balmer. yeah yeah i know i think about microsoft sometimes and how they did sort of i think in the eyes of the tech industry they kind of collapsed or you know faded um but actually they were really profitable they made a lot of money still because they had all these enterprise customers locked in i think you wonder about google right like they don't that enterprise business is not as core to their technology so in a way they're like kind of more vulnerable than microsoft was i think if that makes sense but on the other hand they're also really i mean they have the best they just have the best ai researchers i mean they have the most talent i think of anybody out there so they can you know they they can invent the future i think you're right it's the innovative dilemma though do you want to invent a future that that puts your that puts you out of business essentially yeah um and they're a public company like how are investors going to react to that if they say look we're like we're pitting look at zuckerberg and the metaverse right like that didn't exactly please investors and you know who knows maybe he was right about that but it's a it's a big looming question for google and you know i'm deep mind is endlessly fascinating so i'm gonna go read your demis sabis thing thank you get off this yeah it was it was such a fun story to work on.
41:33And as you know, we were speaking with Jim Lenzone about search on Wednesday. And as I was working on this story, and I just have found myself continually writing stories about Google. And I'm like, damn, they're just the most interesting company. Not exactly because of like, you know, I mean, they're obviously producing interesting things, but the position they're in in this moment is just so interesting. And it's, it's like the, the, the business, business news is interesting when you have companies that have to make gutsy decisions and they have some big, big decisions they're going to have to make and it's going to be sink or swim.
42:06And you're, it's funny because like you haven't brought off, brought up the, um, the whole Gemini fiasco. I mean, just a couple of weeks ago, it seemed, I mean, everybody was saying like Sundar, Sundar Pichai, the CEO of Google is going to, you know, have to resign and, you know, the company's flailing. And it sounds like, I mean, the dust has settled a little bit, but it sounds like are we, you know, was that, I think was the reaction to that, like as far as Google's business, was that a little bit of an overreaction, do you think? I don't know. It's like one of those things where like in the moment it does feel justified, but as you like, you know, take a look back and you take, you zoom back a little bit, you know, you're like, okay, they're actually doing well in so many areas, but then you zoom back a little bit more and you end up in the position that, you know, you just articulated it two minutes ago, which is like, damn long-term, this is tough.
42:58So it's hard for me to really form like, uh, I mean, you know, hard and fast, you know, concrete positions. It's more just like, let's follow along for the next little bit and see what happens. I read a wall street journal article last night and I was putting together the newsletter and it was about, um, I think it was written in like 2021, maybe 2020, um, about Google and deep mind. And it was sort of like, it was like, Hey, this AI strategy for Google. I don't know. I don't know if it's working out and like deep minds losing a lot of money. And you know, it just re like looking back, it's like, wow, like people really misunderstood what was happening in.
43:39Definitely. I mean, I count myself among them. Like I thought back, cause obviously like You write these stories and you see 2015, 2016. It's like, I think I was an employed tech reporter in the Bay Area at that time. Why didn't I pay attention to the fact that Elon Musk and Sam Altman were starting OpenAI? Or paid more attention. Obviously, everyone noticed it. And I think the view is that it was kind of kooky. And then even watching this, so getting back into the DeepMind story, I watched the AlphaGo documentary. It was incredible. It was so obvious that this technology was transformative. and then it was like okay like let's go back to like Facebook's advertising issues or something like I don't know we can end I I'll just speak for myself I can end up being so squirrel brain sometimes that it's hard to see like the big story coming through uh from the trees my my view on AI was that it was it's a technology that it's it's transforming the world like deep learning neural nets, totally transforming the world.
44:39Industries are changing. It's being employed everywhere. But nobody wants to read about it because it's all happening on the back end. It's all, it's all like, you know, you don't, as a consumer, you don't notice it, right? Like, like who knows that when, like, no, nobody knows when they're looking at Facebook that it's actually like the algorithm was at one point, like super cutting edge AI. And that was my assessment and i think when chat gpt came out it was like okay well i mean i was totally wrong about that like there's you know consumer applications that are you know that are really mind-blowing yeah and you know and now you can go back i i you know i think just reading a lot of stories now you can go back and like write about all this stuff that i think wasn't as interesting to people that is not llms that is more like just you know deep learning um applied to different industries.
45:33And those stories are actually more interesting because of ChatGPT. It's kind of an Overton window kind of dynamic, I think. Yeah, it now makes them, like the AI for good. Like, you know, a couple of years ago, people were like, all right, you know, AI for good. And now it's like, yeah, tell me more. Right, right, exactly. And you know what's interesting? Like, I initially, I kind of had the opposite. I had that journey backwards where like Meta was actually experimenting with some, or it was Facebook back then, experimenting with some very interesting consumer products including a chatbot that it said was AI, but obviously had a lot of humans in the, in the background.
46:07And I was like, ah, this is the future. And, uh, you know, I like, you know, wrote a ton about it. Uh, got to know Jan LaCoon over there and just went real deep into AI for about a year. And then, uh, it was just like, I came to the same conclusion as you, which was like, I think this stuff is ad tech. Like it works in the background and it serves see the right ad, but those stories about how like a, a piece of creative goes through a demand side platform is combined with, you know, something from a data management platform ends up in an ad exchange and is bought through a supply side platform would, you know, you know, have readers, uh, you know, slamming their head against the wall rather than try to figure out what's going on.
46:48But now obviously that's all changed. Totally. It's all changed. Everybody has their, their vocabulary on ai has has doubled you know over the last year at least that yeah at least that well for tech journalists it's more than doubled but oh man yeah like we're trying to figure out what chips are being used in this supercomputer like right throwing out a100s versus h100s and that's the beauty of this job and being able to do a show like this is that we're just constantly learning and you can develop an expertise on things speaking with people in the industry and then share it. I find that, yes, you can.
47:24And that is the fun of journalism. It's like, I love just that I get to learn for a living essentially. Cause that's 90 % of the job, right. It's just like calling people and talking to them. And this week I've been, I went to like a bunch of different dinners and, you know, with AI all about really about AI learned so much, but I also feel like it's changing week to week. Like it's so fast. It's just impossible to really keep up with all the new trends. I mean, I was mentioning RAG, you know, like retrieval augmented generation, which I think a lot of people haven't even heard of, but it's like a buzzword within AI.
48:06And then I was like, I did this web seminar, is RAG already dead? I'm like, I just can't, you cannot keep up with this. Well, that's what happens. is like, look at inflection, right? They were the leaders and then, you know, all of a sudden it's all commoditized. And now the guy is working for Microsoft. Okay, I definitely, can you, are we able to do 10 minutes on Neuralink before we go? Yeah, let's do it. Okay, why don't we take a break? Reid has been writing about Neuralink and brain computer interfaces, which I find really interesting. We saw some incredible progress there last week. So we're going to talk a little bit about this.
48:47It's not just Neuralink, by the way, it's plenty of companies. And we'll talk about what they're doing right after this. Did you know your credit card points and miles can lose value to inflation? Credit card companies often reduce the redemption value of your points and miles. Now, imagine a credit card with rewards that can grow in value. With the Gemini credit card, you can earn Bitcoin or one of over 50 other cryptos instantly with no annual fee. Every swipe at the store or gas pump earns you instant rewards deposited straight to your account. Plus, sign up now for a$200 Bitcoin bonus to kickstart your rewards.
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49:57What the hell is going on right now? And why is it happening like this? At Wired, we're obsessed with getting to the bottom of those questions on a daily basis. And maybe you are too. I'm Katie Drummond, the Global Editorial Director of Wired. And I'm hosting our new podcast series, The Big Interview. Each week, I'll sit down with some of the most interesting, provocative, and influential people who are shaping our right now. Big interview conversations are fun. I want a shark that... That eats the internet. That turns it all off. Unfiltered and unafraid. So in a lot of ways, I try to be an antidote to the unimaginable faucet of reactionary content that you see online, to the best of my ability.
50:38Every week, we're going to offer you the ultimate luxury of our times, meaning and context. True or false, you, Brian Johnson, the man sitting across from me, one day, at some point, as of yet undefined in the future, you will die. False. Tell me more. Listen to the big interview right now in the same place you find Wired's Uncanny Valley podcast. Subscribe or follow wherever you get your podcasts. And we're back here on Big Technology Podcast with Reid Albergatti. He's the technology editor at Semaphore, which you can find at. What's the URL? Semaphore.com. But we spell it wrong. It's S-E-M-A-F-O-R.
51:22So the real spelling is P-H-O-R-E. so just know that we spell it wrong okay and we'll have that in the description of who you are so people can see the appropriate spelling you wrote this great story looking at not just Neuralink but this emergence of this brain computer interface battle I mean there was a few things that I saw there that I found interesting first of all there's this guy who's just been implanted with a Neuralink chip and is like literally playing Mario Kart with his brain with his brain, controlling this Mario Kart character with the brain and being somewhat competitive too. And I mean, he's totally paralyzed and he's able to play.
52:03It's unbelievable. That was interesting. And then also you noted that this has happened ahead of schedule, faster than a lot of people imagined, which is not really the case with technology usually, right? Like we do have these like big predictions and then it just takes a little bit longer to get there. Like AI is a technology 50 years in the making or 70 years in the making. But this is really coming on fast. So give us the state of brain-computer interfaces. Yeah. When we first launched in October 2022, I met with the CEO of Synchron, which is a brain-computer interface company. and you know they were the only ones with like this you know in clinical trials like human you know human studies and i was like that's really interesting like this like i had heard of neural link but neural link seemed like very theoretical at the at the time and they weren't you know there was no talk of like fda trials or anything i'm like this is like actually happening and they the way they do it is they don't do brain surgery they they implant sensors like a stent through a through your vein, through the jugular vein.
53:13So it goes right up behind your head to the top of, you know, to the top of your head, but it's not touching your brain in any way. And they got enough fidelity from the brain signals that they had ALS patients who could control a computer, but not in the way, you know, you were just describing with this knurling patient, a very rudimentary way, but it was enough to send a message. And I asked him, I'm like, can you do iPhones? And he's like, actually, we just enabled that capability. And I'm like, can I do the first iMessage from someone's brain? And I sent iMessage to this guy in Melbourne. And he was an ALS patient.
53:54And it's just amazing. It's just this feeling of you're on the cutting edge of this technology. And at that time, I was like, well, I think Synchron is going to be the, you know this is what the technology is going to look like for a while you know and then eventually the neural link which is much more invasive requires like you know brain surgery like actually inserting sensors like into the brain um i thought that was like you know farther off and now they've got this patient in an fda you know study and it's just to me that was I was just surprised at like how well it worked. And of course, in Elon Musk fashion, like they didn't, you know, they're not trying to do like a minimum viable product.
54:39He's going to go big. And they really went big. I mean, they have, I think it's 64 tiny little threads that they've invented a robot to do the surgery because the human hand can't do it. And they like insert these little, they're thinner than a human hair into the brain. And then the chip is, is totally wireless. And, you know, it looks, I mean, we'll see like, this is a trial and in a year from now, maybe it doesn't work anymore. Maybe there's some issue, but it just looks like it, it could work, which, um, which I think is just incredible, honestly. Right. And so just to help us dream here a little bit, like, where does this, where does this go if it's if they see the potential where do you think it leads i mean right now it's it's like a kind of a read only so you get the signals coming off the brain and you interpret those signals and you can do really cool things with them you can control mario kart maybe you can even if if you've lost the ability to speak maybe it synthesizes your you know they've done some studies where it like basically can read like the muscles um in your in your, you know, throat, I guess, that control your voice and then turn the, turn the signals that the brain would be sending to those muscles into your actual voice.
56:00Um, so you could talk, like people didn't talk, like lost, lost the ability to speak. And then I think, you know, control prosthetics, right? Like right now it's, they're pretty rudimentary in how they work, but you could get, you know, super high fidelity and have people, you know, who were paralyzed walking around, then I think it becomes two-way communication at some point. And that's when, you know, now you can actually send signals back into the brain and maybe actually change the brain itself or change the human body. I think that's farther off, but I think that's when you get some really profound stuff happening and this kind of like really melding of man and machine kind of stuff that, you know, I thought was just totally science fiction, you know, a couple years ago.
56:48yeah and it is it is this thing that's going to obviously be applicable like we're going through the fda it's going to be applicable for people who are paralyzed like people who need it to function in the world but maybe at some point everybody gets this which is just such a crazy thought and who knows what happens then like is that does that is that you know the black mirror episodes where you like kind of put the uh thing on your forehead or your temple and you get zapped into virtual reality like at first i was like nah that's you know it's a nice way to portray it cinematically we're all going to be in goggles and now i'm just like oh goodness you know you know i was i actually i don't know you probably have these conversations too but i was meeting with someone who's like you know in this sort of like very like very deep into like the ai safety and like AI research world.
57:42And they're just always thinking like 50 years into the future. Right. And the point this person made was actually like these BCIs and also maybe even like genetic, genetic modifications might be how we prevent the AI apocalypse is basically like, if you can't beat them, join them. So we need to like, yeah, we need to become super intelligent in order to not get destroyed by a super intelligence yeah i think it's just like it's just total galaxy brain i mean it's just super interesting to think about though i mean it's crazy you know i thought i thought the iphone was cool i thought like we would we would tell our kids hey you know we were born in a time where there was no iphone and that would be like the big the big thing but like oh my goodness we are we are going in in some interesting ways extremely fast.
58:38I hope we just do really cool stuff when we become like genetically engineered, super intelligent machines. Like I hope it's not, we don't just use our like brain implants to just sit and like watch Netflix, you know, like in the air. We're not going to watch them. We're going to be in Netflix. That's the kind of thing. Yeah, right, right. Be in Netflix. Yeah, totally. Reed, thanks so much for joining. Great having you here. And I hope when we sign off, they don't fire Sam Altman again. me too god i'm dreading i'm dreading signing off now i don't want to see what happens all right everybody thanks so much um you can find reed's work at summer4.com sign up for the tech newsletter it's a good read uh i'm on it all the time including today right before we we jumped on and reed hope you come back again thanks so much talk to you soon speak to you soon thank you everyone we're back on wednesday i'll tease the guest we have marissa mayer coming in.
59:35We did the Yahoo episode on Wednesday. We speak with the ex-CEO of Yahoo and talking about whether AI can help revitalize consumer products now that she is in the game. And we will see you then on Big Technology Podcast.
59:56What the hell is going on right now? And why is it happening like this. At Wired, we're obsessed with getting to the bottom of those questions on a daily basis. And maybe you are too. I'm Katie Drummond, the Global Editorial Director of Wired, and I'm hosting our new podcast series, The Big Interview. Each week, I'll sit down with some of the most interesting, provocative, and influential people who are shaping our right now. Big interview conversations are fun. I want a shark that eats the internet. That turns it all off. Unfiltered and unafraid. So in a lot of ways, I try to be an antidote to the unimaginable faucet of reactionary content that you see online to the best of my ability.
1:00:38Every week, we're going to offer you the ultimate luxury of our times, meaning and context. True or false, you, Brian Johnson, the man sitting across from me, one day, at some point, as of yet undefined in the future, you will die. False. Tell me more. Listen to The Big Interview right now in the same place you find Wired's Uncanny Valley podcast. Subscribe or follow wherever you get your podcasts.
From the publisher
Reed Albergotti is the tech editor at Semafor. He joins Big Technology Podcast to break down the week's news. We cover: 1) SBF's sentencing 2) Is 25 years fair? 3) Is FTX a symptom of crypto or an exception 4) OpenAI and Microsoft may build a $100 billion supercomputer 5) Will the supercomputer help OpenAI get closer to AGI 6) Why the supercomputer project may be OpenAI's big swing to stay ahead 7) Claude surpasses GPT-4 in Chatbot Arena 9) Is voice computing the next AI interaction layer 10) A Hume demo 11) AI for Good 12) Can Demis Hassabis save Google? 13) Why Google is such a fascinating company 14) Challenges to covering AI as a reporter 15) Neuralink and brain computer interfaces 16) Let's hope nobody gets fired right after we post this
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