The Breakthrough Technologies To Watch In 2025
16:22 minutes
Each year, the journalists at the MIT Technology Review publish a list of 10 breakthrough technologies: these are things poised to hit a tipping point, and potentially change the way the world works.
Unsurprisingly, artificial intelligence remains a big breakthrough. While 2024 was the year of large learning models, small learning models top Technology Review’s list this year. These smaller models are more accessible, efficient, and could be better for the climate than their larger counterparts.
Also on the list is generative AI search, which is already implemented by Google with its Gemini language model. A new HIV medication called Lenacapavir, which has been shown to be incredibly effective in trials, is also on the list, along with cleaner, alternative jet fuels.
Joining Ira to talk through these and other items on the list is Amy Nordrum, executive editor of operations at MIT Technology Review based in Boston, Massachusetts.
You can read the full list of Breakthrough Technologies at the MIT Technology Review website.
Amy Nordrum is an executive editor at MIT Technology Review. Previously, she was News Editor at IEEE Spectrum in New York City.
IRA FLATOW: This is Science Friday. I’m Ira Flatow. Each year, the MIT Technology Review people published a list of 10 breakthrough technologies. These are the things poised to hit a tipping point and potentially change the way the world works.
So what do tech journalists want us to keep our eyes on? Joining me to talk through some of this year’s entries is my guest, Amy Nordrum, executive editor of operations at the fabled MIT Technology Review, based in Boston, Massachusetts. Welcome back to Science Friday.
AMY NORDRUM: Thanks, Ira. Great to be here.
IRA FLATOW: All right. Before we get into the list, can you give us a peek behind the curtain? I mean, how are these breakthrough technologies chosen by your team?
AMY NORDRUM: Sure. It’s a process that takes us several months every year. Everybody on staff pitches ideas, and we’re looking for technologies that are having what we call a breakthrough moment, which can mean a couple of different things.
It could be for a new medical treatment, for example, that it’s passed an important regulatory milestone. Or perhaps it’s a climate technology that’s proven itself in a demonstration plant. So we define it in different ways, and that’s part of the fun and the challenge of trying to put this list together.
And in the end, we also want a range of technologies from different fields and areas and some stuff that maybe people have heard of and some other things that are going to be newer to them. And we put all these ideas together, and we take a vote amongst our staff just to see what people are most interested in. We have lots of debates and discussions about this list within our team. And eventually we just have to make some tough calls and settle on the final list.
IRA FLATOW: Are you looking mostly for positive impacts specifically?
AMY NORDRUM: Not necessarily. I do think this year I would say is a more optimistic list overall. But we also look for technologies that are just high impact in general. And that could be positive or negative. A couple of years ago, we had cheap military drones on the list.
IRA FLATOW: Boy, was that right. [LAUGHS]
AMY NORDRUM: Yes, exactly. Those have– yeah, those have had huge impact on shaping wars around the world. And there’s other things that could go either way or have both sides. There’s biometrics that we had a couple of years ago. Obviously, it could make more life more convenient for us and hopefully more secure but can also introduce new risks to privacy and personal data as well.
IRA FLATOW: OK, let’s start with a topic that we’ve talked a lot about last year, and I’m talking about artificial intelligence. There are a few AI-related items on your list. Let’s start with one of them– small language models. What the heck is that?
AMY NORDRUM: Well, you’ve probably heard about large language models. Those are AI models that are trained on all of the internet’s data. And you can enter prompts or questions, and they’ll generate for you a written response or an image or a video of whatever you’ve described. And those have gotten lots of attention, and many people are using them.
But now there is growing interest in these small language models, which don’t have as much training data. And they don’t have as many parameters, which are the values that get calculated during a model’s training that it then uses to produce its results. But these small language models, even though they’re smaller, they might be more suited to a specific purpose or task that someone’s working on. And some of these smaller models are doing just as well as the bigger ones on benchmark tests that the AI world uses to gauge model performance.
IRA FLATOW: Wow. so what kind of tasks are we talking about here?
AMY NORDRUM: Well, for example, if you’re a law firm that writes a lot of contracts, you don’t necessarily need an AI model that’s been trained on every Disney movie that’s ever aired. You need one that knows contracts and is really well versed in that. Or if you’re managing a factory, you need a model that can help you keep that operation running, maybe anticipating if there’s maintenance that should be done to prevent breakdowns or troubleshoot a problem or keep track of records to show you what’s coming in and out.
So your model needs a deep knowledge of your own business and the businesses that you work with. But it probably doesn’t matter if it’s read the entire Bible and complete works of Shakespeare in order to do that for you.
IRA FLATOW: We’ve talked about how much juice, how much electricity these AI machines, these giant data centers use. Maybe the smaller language models use less electricity? AMY NORDRUM: Yes. It’s not clear how much less, really, but because of how they’re made, they should be more efficient, so quicker to train and quicker, more efficient to run. And that should require less energy to do the things they need to do.
IRA FLATOW: Yeah. Moving on, I don’t know about you, but I saw dozens of advertisements for something called Google’s Gemini over the holidays. And this has made it onto the breakthrough list, your breakthrough list. First of all, explain to me what this product is.
AMY NORDRUM: Yes. Well, we have generative AI search on the list, and Google’s large language model called Gemini is powering this. It’s specifically powering what’s called AI Overviews, which Google rolled out to the US in May. And what that means is you can type in a query, and in Google’s case, what’s called an AI overview will show up at the top of the search results.
I’m sure many of you have already seen this. This is a large language models summary of the topic or answer to your question. And it was generated just for you in the moment that you typed your query. It was not preprogrammed or scripted in advance.
So the concept here is that it’s more conversational in style, hopefully more useful to you, easier to find the information that you want. You don’t have to go looking through a ton of websites and a whole big list of links. The AI will do it for you.
But these AI models, including Gemini, don’t actually know if the overview that they’re giving you is right or wrong. They’re just assembling that answer based on their training, which has involved ingesting a lot of material from the internet and regurgitating some of that and predicting the next word in the sentence to fill in the gaps.
IRA FLATOW: Hmm. So it’s not just Google that is exploring this, I would imagine.
AMY NORDRUM: Right. Microsoft has infused Bing with generative search results as well, starting in September. That’s powered by OpenAI’s models. There’s also OpenAI now has hooked up ChatGPT into the live web, so it can go there to fetch answers and get updated information to any queries that you might have.
And other companies, like Perplexity, which has a chatbot interface of its own, are connecting theirs to the web. And in that case, they’re relying on large language models by OpenAI and Anthropic as well to generate those results for you.
IRA FLATOW: So now I understand this is quite controversial because it’s a major problem for media industries that actually spend a lot of time and money collecting and researching stuff, and then these guys troll it all.
AMY NORDRUM: Yes, it is a bit of an existential crisis for the media industry, which we are both parts. That’ll be an interesting challenge for us to try and solve. And there’s other problems, too. As these AI overviews were rolled out by Google, they started to give some nonsensical results. So there are some kind of funny examples where the AI overview suggested putting glue into pizza sauce to help the cheese stick to the pizza.
IRA FLATOW: Mmm.
AMY NORDRUM: And there was also a suggestion to eat rocks for nutrients. That came up for one.
IRA FLATOW: I’m writing this down now.
AMY NORDRUM: Don’t do these things. Don’t do these things at home.
IRA FLATOW: [LAUGHS]
AMY NORDRUM: So Google has made some tweaks in response to those issues to not pull in as much user-generated data or relies so much on sites that are known for satire and humor, such as The Onion. But sometimes these also still just get things wrong.
There was an example one of the AI overviews said that Andrew Jackson, a former US president, graduated college in 2005, but he died in the mid-1800s. So these new approaches to search will certainly cause challenges and changes in advertising and media. But there’s also just some fundamental challenges around, how much can we trust these? And how much can we rely on them as well?
IRA FLATOW: Let’s talk about another breakthrough on this list– robotaxis. I rode in a Waymo in San Francisco. And it’s where you can see driverless taxis like Waymo’s there all the time. But now they’re coming to more cities, right?
AMY NORDRUM: Yes, that’s right. We’ve heard about these for years. And companies like Waymo have been testing their services and collecting data and mapping out certain communities. But now they are really starting to expand into new cities and open up these services to the public. There are now autonomous taxis operating publicly in more than a dozen cities worldwide.
IRA FLATOW: And that’s what Elon Musk says. Also, he says his Teslas will be autonomous or a car version of it.
AMY NORDRUM: Yes. He just recently announced what he’s calling the Cybercab and an autonomous bus as well and has promised it for California and Texas this year. His company will need to show that that’s possible and that they’ve obtained the necessary regulatory approvals as well. But yeah, that was an announcement he made just a couple months ago.
IRA FLATOW: Would you drive in a driverless car now? I mean, a lot of people are hesitant.
AMY NORDRUM: I also have taken a, yeah, Waymo in San Francisco, and I was quite impressed. I thought it was a really interesting experience. And I do think that more people will be trying these out for themselves and perhaps feeling safer than they do themselves driving or riding with a driver from another service. So we’ll see. I mean, there’s definitely going to be more availability of these services around the country, in the world.
IRA FLATOW: There are other companies, right?
AMY NORDRUM: Yeah, Waymo is definitely the US leader and the biggest in the US. But it’s expanding to new cities. So far, it’s been an LA, Phoenix, and San Francisco. But now it’s going to be in Austin and Atlanta this year. There’s also Baidu in China, where they’re operating many, many rides in Beijing and Wuhan in particular.
And there’s also here in the US, Amazon’s Project called Zoox, which is designed more like a bus. It doesn’t have a steering wheel, and it’s launching to the public in Vegas this year and is also doing tests in San Francisco, Miami, and Austin.
IRA FLATOW: Wow. Wow. All right, let’s move on to some medical breakthroughs that made it on your list. Let’s talk about an amazing new HIV medication that has tremendous results in trials. Let’s hear more, please.
AMY NORDRUM: Yes, this is a drug that could be a much more convenient and accessible way for people to protect themselves against HIV. More than a million people are infected around the world with HIV every year still. This new drug is called Lenacapavir, and it’s administered as an injection once every six months.
It’s made by Gilead, and Gilead announced results in June showing 100% protection for more than 5,000 women and girls in Uganda and South Africa and then more trial results in October showing 96% effectiveness at preventing HIV in more than 3,200 people of many other genders and sexual orientations. So this is a really exciting news and could definitely help us prevent HIV from spreading further.
IRA FLATOW: Yeah, because the UN has a goal of ending AIDS by 2030. Could this medication make that possible?
AMY NORDRUM: It really could help if they are made widely available, although that is not a given. There are a couple other options out there for people already. There’s preventative drugs known as PrEP, which can be pills or injections that have been around. You just have to take them every day, though, or ahead of time when you’re exposed to a virus, which you might not always know, and people might not remember to take that medicine every day.
So having just once every six months that you have to have this injection could make a real difference. But even once these medicines are approved– and this new one isn’t yet approved for prevention. It’s only approved for HIV treatment– there’s still the matter of getting it out into the world, manufacturing it at scale, and making it accessible at a price that people can actually afford.
IRA FLATOW: All right. Let’s talk about another health breakthrough that, to me, following this for I don’t know how many years always seems like it’s 5 to 10 years away. And I’m talking about stem cell therapies. Are we closer now? How does stem cell therapies work? And where are we?
AMY NORDRUM: We are getting closer, we think. So stem cell research has been ongoing for decades, as you said. And these are very powerful cells because they can be used to make any kind of tissue or cell in our bodies. And scientists have found ways to make these in the lab. You no longer need to use embryos to get them. You can make them from a bit of skin or whatever else.
But it’s been really hard to translate this research into proven medical treatments. And it’s been a long time coming. But now there are two treatments in particular that we are highlighting on this year’s list, one for type 1 diabetes and epilepsy, and they are both showing some real promise.
IRA FLATOW: Wow. And how long until we see this therapy available, do you think? Tell me five years.
AMY NORDRUM: Yes. It’s still a ways off from being widely available. So the trials so far have been very promising results. In some cases, people that underwent the type I diabetes trial were able to stop taking insulin. And those that went through the trial for epilepsy had their number of seizures significantly reduced.
But these are early trials. They’re quite small. The one for epilepsy by Neurona Therapeutics only had 15 patients in it. Overall, there’s a couple thousand patients across a few dozen trials, and the vast majority of those trials are still underway and will need to make their way through proper approvals to actually be available to patients.
IRA FLATOW: Mhmm. I know the holiday season is one of the biggest times for air travel, and aviation emissions are a large contributor to global warming. But there are companies working on cleaner jet fuel, right?
AMY NORDRUM: Yes, and that’s really great because aviation and that whole sector is one area where it’s been really tough to reduce emissions. And now, in addition to biofuels, which have been around for a while, there are some new ways of creating alternative jet fuels that are starting to scale up production. Initially, these fuels would be blended with petroleum to reduce emissions in flights, but eventually you could have planes that run on 100% of these fuels. And generally speaking, these fuels can be used in planes as they are. There are no modifications required to the plane.
IRA FLATOW: OK, let’s end with a breakthrough in an industry we don’t always think about as having technological advancement, and I’m talking about construction. And in this case, tell me about this steel plant in Sweden that will release almost no carbon emissions. Isn’t steel made with carbon?
AMY NORDRUM: Yes, it requires a lot, Currently this plant is the first of its kind or will be the first of its kind in the world. And steel is mainly an alloy of iron and carbon, and it’s made generally by putting iron ore into a series of furnaces with some coke, which comes from coal, and limestone to remove impurities to create a crude form of iron, which is the key ingredient in steel.
But now green steel companies, like Stegra, this one in Sweden, are working on making steel by using hydrogen produced from renewable sources to convert the iron ore into iron, which is the dirtiest step of the steel-making process. And this company called Stegra raised almost $7 billion, and they’re building the first industrial-sized plant using this method anywhere in the world. And they’re hoping to start producing essentially low- or zero-emission steel there in 2026.
IRA FLATOW: So you’re saying they don’t have to use carbon anymore to make their steel.
AMY NORDRUM: So they’re using hydrogen produced through electrolysis. They’re using electricity produced from wind and hydropower to split water. And then they’re using that hydrogen gas to pull oxygen out of the iron ore to make the metal that we know of as iron.
And they’re not the only ones doing this. There are some other major steelmakers that are investing into similar technologies, and there’s also one that’s trying to build another plant in Sweden to do the same thing. So it’s exciting to see this progress.
They still need to show this all works at scale and, obviously, get buyers who will pay a little bit more of a premium for this steel. They have locked in a couple of deals in that direction. But hopefully, if it works and if it catches on, this could really help us bring down emissions from the steel-making process.
IRA FLATOW: Yeah. Well, thank you for taking time to be with us today.
AMY NORDRUM: Thanks, Ira. Great to be here.
IRA FLATOW: Amy Nordrum, executive editor of operations at the MIT Technology Review, based in Boston, Massachusetts. And if you want to read the full list of breakthrough technologies, go to technologyreview.com.
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