Loading summary
Advertiser
This episode is brought to you by Shopify. Forget the frustration of picking commerce platforms when you switch your business to Shopify, the global commerce platform that supercharges your selling. Wherever you sell with Shopify, you'll harness the same intuitive features, trusted apps, and powerful analytics used by the world's leading brands. Sign up today for your $1 per month trial period@shopify.com tech all lowercase. That's shopify.com tech.
James Rundle
Welcome to Tech News Briefing. It's Tuesday, January 7th. I'm James Rundle for the Wall Street Journal. Generative artificial intelligence is supercharging robots. We'll hear why advancements in AI mean you might just start seeing robots appear everywhere from the grocery store to the hospital ward. And then Quantum computing holds enormous promise for solving some of the world's most difficult problems. But it could also break some of its strongest protections, particularly in cryptocurrenc. Our reporter Alexander Osipovich joins us to discuss. But first, generative AI is everywhere, from computer art to corporate chatbots. But where it might have one very visible impact is in the way robots will start to creep into our everyday lives. Once the stuff of science fiction, researchers are now looking at how AI can help power robots that stock shelves in supermarkets, cut vegetables in kitchens, and even deliver prescriptions in hospitals. WSJ reporter Isabel Busquet joined Cordelia James to talk about the rise of the robots. Here's their conversation.
Isabel Busquet
Isabel how do these robots work traditionally? And how might generative AI give them a boost?
Cordelia James
Yeah, so traditionally we think about robots as needing to operate in really structured environments. They're trained to do narrow and specific set of tasks, and they have to do those tasks in an environment that they're familiar with, they've been trained on. And they really run into a lot of problems when the environment they're in or the world they're in is not exactly what they were trained to expect. And in the normal human world that we operate in, we know that's always the case. Not every door opens the same way. And sometimes there are objects that, you know, appear in our path. And robots don't always that or they haven't always known that. And what generative AI provides is basically this supercharged robot brain that allows them to think more critically. They can recognize objects they haven't seen before. They can replan their route to get around something if they encounter an obstacle and will also be able to talk to them in natural human language. Think of the way we converse with ChatGPT and order it around the hospital or a retail store or whatever it is.
Isabel Busquet
I'm really excited to potentially see this in my everyday life, but I have yet to spot any of these robots out in the wild. Where might people start to encounter them in their everyday lives?
Cordelia James
We're starting to see more robots in restaurants. They can cut vegetables. They can start to do some of those, like more repeatable tasks that happen at say, a fast food restaurant. We're starting to see them in retail stores. Like Sam's Club has robots that go around and clean the floors and at the same time are checking out inventory levels all around. And then we're also starting to see them in entertainment spaces. There's a company called Engineered Arts and the robots aren't really designed for doing labor the way a lot of other robots are, but are more designed to interact with people and entertain them. And you know, you know, we've seen those in museums. Hospitals and healthcare is another area where there's a lot of potential. The room around the halls, deliver towels, deliver medicine and just sort of lighten the burden on nurses there.
Isabel Busquet
What are some situations where they might not be so great right out the gate?
Cordelia James
In the retail example, they're great at going around the floor and they can clean and they can track where inventory is with cameras and sensors. What they're maybe not the best at yet where there's potential is maybe actually doing, doing some of that restocking. Picking up objects is something that's actually really, really hard for robots. And you wouldn't think about it because it's something that's so easy for humans. And you know, a robot doesn't necessarily know how to pick up something that is really heavy and needs to be grasped really hard versus something that is delicate and a different shape or shouldn't be grasped as hard or else it'll break. In the hospital example, there's also some work to do there. Every hospital is set up differently. Just the variation in layout is a hard navigation challeng, especially when you think about them riding up and down elevators and you know, does the hospital have to set aside a specific elevator just for the robots to go up and down? Some of the robot operators want the hospitals to standardize their layouts in order for the robots to navigate better. But that's just something that's not really going to happen. And in this case, it's really up to the robots to get smarter about how to navigate the human world. That's something where generative AI has the potential.
James Rundle
That was our reporter Isabel Bisquette speaking to Cordelia James Coming up, quantum computing might just be powerful enough to break through Bitcoin's strongest protections and enable heists on a global scale. That's unless experts can stay one step ahead of the crooks in a major tech arms race. We'll explain after the break.
WSJ Money Briefing Host
Are you ready to take control of your financial future in 2025? WSJ's yous Money Briefing will answer your questions about achieving your money goals.
Isabel Busquet
My score right now, I think, is at a 620, and so I want to improve it to a 750.
Advertiser
What's coming up that's going to change how easy or difficult the job market is?
Alexander Osipovich
How long will my money last? What can I do to make it last as long as possible?
WSJ Money Briefing Host
Catch our series Money Moves for the new year, the week of December 23rd on your money Brief.
Alexander Osipovich
Foreign.
James Rundle
Bitcoin's seemingly Unstoppable March to $100,000 in value per coin has emboldened its supporters who see cryptocurrency as a safe, secure form of money. Quantum computing could upend all of that. Experts worry that the massively enhanced computing power of quantum systems could easily break the encryption at the heart of cryptocurrency transactions, enabling thieves to steal on a breathtaking scale. Here to tell us about the threat is WSJ reporter Alexander Osipovich. So bitcoin theft isn't exactly uncommon. What makes this threat different?
Alexander Osipovich
There have certainly been many thefts of Bitcoin in the past. Typically what happens is a hacker breaks into the systems of some crypto exchange and finds the so called private keys lying around. The private keys are essentially kind of a password that you need to access the digital wallet where your Bitcoin is stored. If you can get a hold of them, you can transfer Bitcoin out of that particular wallet. The issue with quantum computing is that potentially you could essentially figure out the private keys to a digital wallet simply by doing a whole bunch of math and figuring out those keys. You wouldn't need to like break into a system somewhere to do it. And this would imperil essentially all Bitcoin everywhere, not just some in a particular poorly secured crypto exchange.
James Rundle
So what is quantum computing in a nutshell and how does it differ from classical computing?
Alexander Osipovich
In classical computing, the kind of computers that you and I have, all data is fundamentally represented as either a one or a zero. That's the building block of everything else. Audio files, movies, they're all ones and zeros in sequence. Quantum computing, the building block is something called a qubit. It Takes advantage of some of the weird properties of quantum mechanics to have a state that is either one or zero or something weird in between. And this allows you to do certain types of computations much more quickly with a quantum computer than you can with a traditional computer. You can essentially power through a whole bunch of different possibilities more quickly. And things that would take forever to do with traditional computer could be done relatively quickly with a powerful quantum computer.
James Rundle
So there are quantum computers now. IBM is an example of a company that has one, Google. But when is this likely to become a real threat? The tech isn't quite there yet. Right.
Alexander Osipovich
Quantum computing is in a very early stage. Right now it's probably years away from being a threat to encryption. The problem is that we don't quite know how quickly it's going to advance. And technological change has a way of sneaking up on you. If you remember when ChatGPT suddenly burst and we're living in this world where computers could talk to us in lifelike ways and generate these incredibly realistic images, it's possible something like that could happen. With quantum computing a few years down the road.
James Rundle
Are there efforts to produce quantum resistant cryptography encryption?
Alexander Osipovich
Yes, in general, there are ways of having quantum resistant encryption. This is relevant in traditional finance as well. A lot of the underlying encryption algorithms in bitcoin are also used for things like Internet e commerce. And there has been sort of a government and private industry effort over the years to develop a new standard of encryption that would be resistant to quantum attacks. Bitcoin is sort of its own thing that was created by Satoshi Nakamoto, an anonymous developer in the late 2000s, and it's supported by essentially a network of enthusiasts. It would be possible to upgrade bitcoin to make it quantum resistant, but be a very heavy lift.
James Rundle
Yeah. Given that in mind, is it also difficult to put any kind of regulatory protection there? I mean, most traditional banks have deposit protection through the fdic, for instance. Is it even possible to do something similar in crypto or any desire for it?
Alexander Osipovich
One of bitcoin's features is that it's unregulated and run by its users. Doesn't have sort of central middlemen or an oversight authority looking over it. And that has some advantages, but a major disadvantage is that essentially you have no recourse. If, for instance, your bank account gets hacked and somebody steals funds from it, they're gone.
James Rundle
So should bitcoin holders be worried now? And if so, what can they do?
Alexander Osipovich
There is a range of views about this in the bitcoin and cryptocurrency communities. Some people feel that the risk to bitcoin from quantum computing is a long ways off and nothing imminently needs to be done. But there are also efforts underway to try and at least start a discussion about how could you quantum proof bitcoin? There are proposals out there. There are people who talk about this sort of thing at bitcoin conferences. I would say that in general there hasn't been a lot of momentum around this. Bitcoin has gone through a couple of different upgrades in its history. These have tended to be slow moving and contentious processes and I don't know that people have appetite for another one. Because it's such a decentralized network. You have to have buy in from a lot of different parties to upgrade bitcoin and upgrading to make it quantum resistant would be no different.
James Rundle
That was our reporter Alexander Osipovich. And that's it for Tech News Briefing. Today's show was produced by Julie Chang with supervising producer Katherine Milsop and deputy editor Scott Salloway. I'm James Rundle for the Wall Street Journal. We'll be back this afternoon with TMB Tech Minute. Thanks for listening.
WSJ Tech News Briefing: How Quantum Computing Could Threaten Bitcoin’s Future
Release Date: January 7, 2025
In the January 7, 2025 episode of WSJ Tech News Briefing, host James Rundle delves into two groundbreaking advancements shaping the tech landscape: the proliferation of generative artificial intelligence (AI) in robotics and the looming threat quantum computing poses to Bitcoin's security. This comprehensive discussion highlights the transformative potential of AI-powered robots in everyday settings and explores the critical implications of quantum advancements on the cryptocurrency ecosystem.
The episode begins with an exploration of how generative AI is revolutionizing robotics, making them more adaptable and integrated into daily life. Rundle introduces Isabel Busquet, who converses with Cordelia James, shedding light on the significant strides made in robot functionality.
Adapting to Dynamic Environments
Isabel Busquet initiates the conversation by questioning the traditional operation of robots and the enhancements brought by generative AI.
Isabel Busquet [00:01:37]: "Isabel how do these robots work traditionally? And how might generative AI give them a boost?"
Cordelia James explains that traditionally, robots operate within highly structured environments, performing specific tasks repeatedly without deviation. This rigidity limits their effectiveness in unpredictable real-world scenarios.
Cordelia James [00:01:44]: "Traditionally we think about robots as needing to operate in really structured environments... They can recognize objects they haven't seen before. They can replan their route to get around something if they encounter an obstacle..."
Generative AI serves as an "supercharged robot brain," enabling robots to think critically, adapt to unfamiliar objects, and navigate dynamic spaces. This advancement allows for natural language interactions, making robots more user-friendly in settings like hospitals and retail stores.
Current Applications and Emerging Use Cases
The conversation highlights various sectors where AI-powered robots are making inroads:
Restaurants: Robots are employed to perform repetitive tasks such as cutting vegetables in fast-food establishments.
Retail Stores: Chains like Sam's Club utilize robots for floor cleaning and inventory management, efficiently scanning and tracking products.
Entertainment and Healthcare: Companies like Engineered Arts develop robots designed for human interaction and entertainment, seen in museums and hospitals. In healthcare, robots assist by delivering towels and medicines, alleviating the workload of medical staff.
Cordelia James [00:03:08]: "We're starting to see more robots in restaurants... in retail stores... in entertainment spaces... and hospitals and healthcare is another area where there's a lot of potential."
Challenges and Limitations
Despite these advancements, several challenges impede the seamless integration of robots into everyday environments:
Object Manipulation: Robots struggle with tasks that require nuanced handling, such as distinguishing between objects that need gentle versus firm grasps.
Environmental Variability: In hospitals, differing layouts pose navigation challenges. Standardizing spaces for robot movement is impractical, necessitating smarter navigation systems powered by generative AI.
Cordelia James [00:04:07]: "Picking up objects is something that's really hard for robots... the variation in layout is a hard navigation challenge..."
These hurdles highlight the ongoing need for AI improvements to enable robots to adapt fluidly to human environments without extensive reprogramming or infrastructure changes.
Transitioning from AI and robotics, the podcast shifts focus to the intersection of quantum computing and cryptocurrency security. James Rundle introduces WSJ reporter Alexander Osipovich to elucidate the potential risks quantum computing poses to Bitcoin.
Understanding Quantum Computing
Osipovich breaks down the fundamental differences between classical and quantum computing:
Alexander Osipovich [00:07:52]: "In classical computing... all data is fundamentally represented as either a one or a zero... Quantum computing... the building block is something called a qubit... allows you to do certain types of computations much more quickly..."
Quantum computers leverage qubits, which can exist in multiple states simultaneously, enabling them to process complex calculations at unprecedented speeds. This capability positions quantum computing as a transformative force across various industries.
Quantum Threat to Bitcoin's Encryption
The crux of the discussion centers on how quantum computing's advanced computational power could undermine Bitcoin's security framework. Bitcoin relies on cryptographic algorithms to secure transactions and protect private keys—the essential passwords safeguarding users' digital wallets.
Alexander Osipovich [00:06:56]: "With quantum computing you could... figure out the private keys to a digital wallet simply by doing a whole bunch of math... This would imperil essentially all Bitcoin everywhere."
Unlike traditional hacking, which targets specific exchanges, quantum computing could potentially crack the encryption universally, threatening the integrity of Bitcoin on a global scale.
Current State and Future Projections
While quantum computers exist today, their capabilities remain limited. Osipovich emphasizes that while the threat is not immediate, the rapid pace of technological advancements could accelerate the timeline unpredictably.
Alexander Osipovich [00:08:54]: "Quantum computing is in a very early stage... probably years away from being a threat to encryption... technological change has a way of sneaking up on you."
Efforts Towards Quantum-Resistant Cryptography
In response to the looming threat, there are ongoing efforts to develop quantum-resistant encryption methods. These new algorithms aim to secure digital communications against quantum attacks, ensuring the longevity of secure transactions in the digital realm.
Alexander Osipovich [00:09:29]: "There has been a government and private industry effort... to develop a new standard of encryption that would be resistant to quantum attacks."
However, integrating such encryption into Bitcoin presents significant challenges due to its decentralized nature. Upgrading Bitcoin's security protocols would require widespread consensus among its global community, a daunting task given its history of slow and contentious upgrades.
Regulatory and Protective Measures
The decentralized and unregulated framework of Bitcoin complicates the implementation of protective measures akin to traditional financial safeguards, such as the FDIC's deposit insurance.
Alexander Osipovich [00:10:28]: "Bitcoin is unregulated and run by its users... major disadvantage is that essentially you have no recourse."
This lack of central oversight means that once quantum computing breaches Bitcoin's encryption, recovering or securing stolen funds would be exceedingly difficult.
Community Response and Future Outlook
Opinions within the Bitcoin community vary regarding the urgency of the quantum threat. Some advocate for proactive measures to quantum-proof the cryptocurrency, while others believe the threat is distant enough to warrant a more measured approach.
Alexander Osipovich [00:10:56]: "Some people feel that the risk to bitcoin from quantum computing is a long ways off... But there are also efforts underway to try and at least start a discussion..."
Despite these discussions, significant momentum towards implementing quantum-resistant solutions remains limited, primarily due to the decentralized and consensus-driven nature of Bitcoin's governance.
The episode underscores a pivotal moment in technology, where advancements in AI and quantum computing present both transformative opportunities and significant challenges. As generative AI propels robots into integral roles within daily life, enhancing efficiency and interaction, quantum computing stands at the threshold of revolutionizing secure digital transactions. The WSJ Tech News Briefing effectively portrays the delicate balance between technological innovation and the imperative to safeguard existing systems against emerging threats. As these technologies evolve, the discussions and decisions made today will shape the future of both robotics integration and cryptocurrency security.
Produced by Julie Chang, Supervising Producer Katherine Milsop, and Deputy Editor Scott Salloway. Host: James Rundle.