
Real Vision co-founder and CEO Raoul Pal says crypto is heading for ‘Banana Singularity,’ Russia seizes $10M in Bitcoin, and more: Hodler’s


Real Vision co-founder and CEO Raoul Pal says crypto is heading for ‘Banana Singularity,’ Russia seizes $10M in Bitcoin, and more: Hodler’s
Agents are the hottest thing in tech right now. Top firms from Google DeepMind to OpenAI to Anthropic are racing to augment large language models with the ability to carry out tasks by themselves. Known as agentic AI in industry jargon, such systems have fast become the new target of Silicon Valley buzz. Everyone from Nvidia to Salesforce is talking about how they are going to upend the industry.
“We believe that, in 2025, we may see the first AI agents ‘join the workforce’ and materially change the output of companies,” Sam Altman claimed in a blog post last week.
In the broadest sense, an agent is a software system that goes off and does something, often with minimal to zero supervision. The more complex that thing is, the smarter the agent needs to be. For many, large language models are now smart enough to power agents that can do a whole range of useful tasks for us, such as filling out forms, looking up a recipe and adding the ingredients to an online grocery basket, or using a search engine to do last-minute research before a meeting and producing a quick bullet-point summary.
In October, Anthropic showed off one of the most advanced agents yet: an extension of its Claude large language model called computer use. As the name suggests, it lets you direct Claude to use a computer much as a person would, by moving a cursor, clicking buttons, and typing text. Instead of simply having a conversation with Claude, you can now ask it to carry out on-screen tasks for you.
Anthropic notes that the feature is still cumbersome and error-prone. But it is already available to a handful of testers, including third-party developers at companies such as DoorDash, Canva, and Asana.
Computer use is a glimpse of what’s to come for agents. To learn what’s coming next, MIT Technology Review talked to Anthropic’s cofounder and chief scientist Jared Kaplan. Here are five ways that agents are going to get even better in 2025.
(Kaplan’s answers have been lightly edited for length and clarity.)
“I think there are two axes for thinking about what AI is capable of. One is a question of how complex the task is that a system can do. And as AI systems get smarter, they’re getting better in that direction. But another direction that’s very relevant is what kinds of environments or tools the AI can use.
“So, like, if you go back almost 10 years now to [DeepMind’s Go-playing model] AlphaGo, we had AI systems that were superhuman in terms of how well they could play board games. But if all you can work with is a board game, then that’s a very restrictive environment. It’s not actually useful, even if it’s very smart. With text models, and then multimodal models, and now computer use—and perhaps in the future with robotics—you’re moving toward bringing AI into different situations and tasks, and making it useful.
“We were excited about computer use basically for that reason. Until recently, with large language models, it’s been necessary to give them a very specific prompt, give them very specific tools, and then they’re restricted to a specific kind of environment. What I see is that computer use will probably improve quickly in terms of how well models can do different tasks and more complex tasks. And also to realize when they’ve made mistakes, or realize when there’s a high-stakes question and it needs to ask the user for feedback.”
“Claude needs to learn enough about your particular situation and the constraints that you operate under to be useful. Things like what particular role you’re in, what styles of writing or what needs you and your organization have.
“I think that we’ll see improvements there where Claude will be able to search through things like your documents, your Slack, etc., and really learn what’s useful for you. That’s underemphasized a bit with agents. It’s necessary for systems to be not only useful but also safe, doing what you expected.
“Another thing is that a lot of tasks won’t require Claude to do much reasoning. You don’t need to sit and think for hours before opening Google Docs or something. And so I think that a lot of what we’ll see is not just more reasoning but the application of reasoning when it’s really useful and important, but also not wasting time when it’s not necessary.”
“We wanted to get a very initial beta of computer use out to developers to get feedback while the system was relatively primitive. But as these systems get better, they might be more widely used and really collaborate with you on different activities.
“I think DoorDash, the Browser Company, and Canva are all experimenting with, like, different kinds of browser interactions and designing them with the help of AI.
“My expectation is that we’ll also see further improvements to coding assistants. That’s something that’s been very exciting for developers. There’s just a ton of interest in using Claude 3.5 for coding, where it’s not just autocomplete like it was a couple of years ago. It’s really understanding what’s wrong with code, debugging it—running the code, seeing what happens, and fixing it.”
“We founded Anthropic because we expected AI to progress very quickly and [thought] that, inevitably, safety concerns were going to be relevant. And I think that’s just going to become more and more visceral this year, because I think these agents are going to become more and more integrated into the work we do. We need to be ready for the challenges, like prompt injection.
[Prompt injection is an attack in which a malicious prompt is passed to a large language model in ways that its developers did not foresee or intend. One way to do this is to add the prompt to websites that models might visit.]
“Prompt injection is probably one of the No.1 things we’re thinking about in terms of, like, broader usage of agents. I think it’s especially important for computer use, and it’s something we’re working on very actively, because if computer use is deployed at large scale, then there could be, like, pernicious websites or something that try to convince Claude to do something that it shouldn’t do.
“And with more advanced models, there’s just more risk. We have a robust scaling policy where, as AI systems become sufficiently capable, we feel like we need to be able to really prevent them from being misused. For example, if they could help terrorists—that kind of thing.
“So I’m really excited about how AI will be useful—it’s actually also accelerating us a lot internally at Anthropic, with people using Claude in all kinds of ways, especially with coding. But, yeah, there’ll be a lot of challenges as well. It’ll be an interesting year.”

According to the US Department of Justice, Wolf Capital’s co-founder has pleaded guilty to wire fraud conspiracy for luring 2,800 crypto investors into a Ponzi scheme.

“Due to its verifiable fixed supply, Bitcoin is the most inflation-resistant store of value available,” the proposal read.

The Bitcoin Act’s passage could eventually send BTC’s price past $1 million per coin, industry executives say.

According to Satoshi Action Fund CEO Dennis Porter, the North Dakota BTC bill “already has 11 sponsors.”

“Our mascot will make appearances at major events, providing unique experiences for our users,” the DOGS team announced.
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.
How the US is preparing for a potential bird flu pandemic
This week marks a strange anniversary—it’s five years since most of us first heard about a virus causing a mysterious “pneumonia.” A virus that we later learned could cause a disease called covid-19. A virus that swept the globe and has since been reported to have been responsible for over 7 million deaths—and counting.
We are facing the same uncertainty now with bird flu. We know it can cause severe disease in animals, and we know it can pass from animals to people who are in close contact with them. As of this week, we also know that it can cause severe disease in people—a 65-year-old man in Louisiana became the first person in the US to die from an H5N1 infection.
Scientists are increasingly concerned about a potential bird flu pandemic. The question is, given all the enduring uncertainty around the virus, what should we be doing now to prepare? Read the full story.
—Jessica Hamzelou
This story is from The Checkup, our weekly health and biotech newsletter. Sign up to receive it in your inbox every Thursday.
Ask our journalists anything!
Do you have questions about emerging technologies? Well, we’ve got answers. MIT Technology Review’s science and tech journalists are hosting an AMA on Reddit today at 12 pm ET. Submit your questions now!
The must-reads
I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.
1 Meta’s new speech policies allow the denigration of trans people
The revamped guidelines now permit previously-forbidden insults and allegations. (Platformer $)
+ The changes have left Meta’s employees feeling embarrassed and ashamed. (404 Media)
+ Axed fact-checkers held an emergency meeting after Meta said it no longer required their services. (Insider $)
2 The US Supreme Court will hear TikTok’s final plea
Justices are likely to make their decision before the end of next week. (The Guardian)
+ If the ban is enacted, you can probably still access TikTok via a VPN. (NYT $)
+ ByteDance’s founder could be TikTok’s secret weapon. (The Information $)
3 Those pictures of the Hollywood sign burning are AI-generated
AI slop is making the Los Angeles fires appear even worse than they are. (404 Media)
+ Elon Musk and Donald Trump aren’t helping matters by spreading disinformation. (The Verge)
+ AI cameras are keeping tabs on the spreading destruction in California’s hills. (Insider $)
+ The scale of the destruction is truly horrifying. (NY Mag $)
4 Last year was officially the hottest ever recorded
The average global temperature exceeded 1.5°C above the pre-industrial baseline for the first time. (New Scientist $)
+ Consequently, we’re edging closer to breaching the Paris Agreement. (Politico)
5 How to prevent another zoonotic pandemic
It all hinges on early detection. (FT $)
6 Foxconn has stopped sending Chinese workers to Indian iPhone factories
It’s bad news for Apple, as it’s likely to disrupt production. (Rest of World)
7 This new cell could change plastic surgery as we know it
Lipochondrocytes have the rigidity of cartilage and the squishiness of fat. (Wired $)
+ Cosmetic surgery is booming in middle-income countries. (Economist $)
8 Yandex’s co-founder is shaking off Putin
Arkady Volozh has condemned Russia’s actions in the war with Ukraine, and started a new company. (Bloomberg $)
+ How Russia killed its tech industry. (MIT Technology Review)
9 Grok is a standalone app now
It’s searching for an audience beyond the X faithful. (WSJ $)
+ The company appears to be testing a separate website, too. (TechCrunch)
10 PlayStation is experimenting with adding smells to its games 
Smells fishy to me. (Fast Company $)
Quote of the day
“Social media is like building real estate on sand. You never know.”
—Joanne Molinaro, a former lawyer-turned TikTok chef, worries about the precarity of building a career tied to a specific internet platform, she tells CNN.
The big story
AI hype is built on high test scores. Those tests are flawed.
In the past few years, multiple researchers claim to have shown that large language models can pass cognitive tests designed for humans, from working through problems step by step, to guessing what other people are thinking.
These kinds of results are feeding a hype machine predicting that these machines will soon come for white-collar jobs. But there’s a problem: There’s little agreement on what those results really mean. Read the full story.
—William Douglas Heaven
We can still have nice things
A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line or skeet ’em at me.)
+ The Sun turned blue 200 years ago and no one knew why—until now.
+ There’s nothing better than a surreal TV crossover (Arrested Development + Law & Order: SVU, anyone?)
+ Rye the truffle-hunting golden retriever is a very good boy indeed (thanks Vincent!) 

+ I want to go to every single one of these incredible destinations and eat all their food.
This article first appeared in The Checkup, MIT Technology Review’s weekly biotech newsletter. To receive it in your inbox every Thursday, and read articles like this first, sign up here.
This week marks a strange anniversary—it’s five years since most of us first heard about a virus causing a mysterious “pneumonia.” A virus that we later learned could cause a disease called covid-19. A virus that swept the globe and has since been reported to have been responsible for over 7 million deaths—and counting.
I first covered the virus in an article published on January 7, 2020, which had the headline “Doctors scramble to identify mysterious illness emerging in China.” For that article, and many others that followed it, I spoke to people who were experts on viruses, infectious disease, and epidemiology. Frequently, their answers to my questions about the virus, how it might spread, and the risks of a pandemic were the same: “We don’t know.”
We are facing the same uncertainty now with H5N1, the virus commonly known as bird flu. This virus has been decimating bird populations for years, and now a variant is rapidly spreading among dairy cattle in the US. We know it can cause severe disease in animals, and we know it can pass from animals to people who are in close contact with them. As of this Monday this week, we also know that it can cause severe disease in people—a 65-year-old man in Louisiana became the first person in the US to die from an H5N1 infection.
Scientists are increasingly concerned about a potential bird flu pandemic. The question is, given all the enduring uncertainty around the virus, what should we be doing now to prepare for the possibility? Can stockpiled vaccines save us? And, importantly, have we learned any lessons from a covid pandemic that still hasn’t entirely fizzled out?
Part of the challenge here is that it is impossible to predict how H5N1 will evolve.
A variant of the virus caused disease in people in 1997, when there was a small but deadly outbreak in Hong Kong. Eighteen people had confirmed diagnoses, and six of them died. Since then, there have been sporadic cases around the world—but no large outbreaks.
As far as H5N1 is concerned, we’ve been relatively lucky, says Ali Khan, dean of the college of public health at the University of Nebraska. “Influenza presents the greatest infectious-disease pandemic threat to humans, period,” says Khan. The 1918 flu pandemic was caused by a type of influenza virus called H1N1 that appears to have jumped from birds to people. It is thought to have infected a third of the world’s population, and to have been responsible for around 50 million deaths.
Another H1N1 virus was responsible for the 2009 “swine flu” pandemic. That virus hit younger people hardest, as they were less likely to have been exposed to similar variants and thus had much less immunity. It was responsible for somewhere between 151,700 and 575,400 deaths that year.
To cause a pandemic, the H5N1 variants currently circulating in birds and dairy cattle in the US would need to undergo genetic changes that allow them to spread more easily from animals to people, spread more easily between people, and become more deadly in people. Unfortunately, we know from experience that viruses need only a few such changes to become more easily transmissible.
And with each and every infection, the risk that a virus will acquire these dangerous genetic changes increases. Once a virus infects a host, it can evolve and swap chunks of genetic code with any other viruses that might also be infecting that host, whether it’s a bird, a pig, a cow, or a person. “It’s a big gambling game,” says Marion Koopmans, a virologist at the Erasmus University Medical Center in Rotterdam, the Netherlands. “And the gambling is going on at too large a scale for comfort.”
There are ways to improve our odds. For the best chance at preventing another pandemic, we need to get a handle on, and limit, the spread of the virus. Here, the US could have done a better job at limiting the spread in dairy cows, says Khan. “It should have been found a lot earlier,” he says. “There should have been more aggressive measures to prevent transmission, to recognize what disease looks like within our communities, and to protect workers.”
States could also have done better at testing farm workers for infection, says Koopmans. “I’m surprised that I haven’t heard of an effort to eradicate it from cattle,” she adds. “A country like the US should be able to do that.”
The good news is that there are already systems in place for tracking the general spread of flu in people. The World Health Organization’s Global Influenza Surveillance and Response System collects and analyzes samples of viruses collected from countries around the world. It allows the organization to make recommendations about seasonal flu vaccines and also helps scientists track the spread of various flu variants. That’s something we didn’t have for the covid-19 virus when it first took off.
We are also better placed to make vaccines. Some countries, including the US, are already stockpiling vaccines that should be at least somewhat effective against H5N1 (although it is difficult to predict exactly how effective they will be against some future variant). The US Administration for Strategic Preparedness and Response plans to have “up to 10 million doses of prefilled syringes and multidose vials” prepared by the end of March, according to an email from a representative.
The US Department of Health and Human Services has also said it will provide the pharmaceutical company Moderna with $176 million to create mRNA vaccines for pandemic influenza—using the same quick-turnaround vaccine production technology used in the company’s covid-19 vaccines.
Some question whether these vaccines should have already been offered to dairy farm workers in affected parts of the US. Many of these individuals have been exposed to the virus, a good chunk of them appear to have been infected with it, and some of them have become ill. If the decision had been up to Khan, he says, they would have been offered the H5N1 vaccine by now. And we should ensure they are offered seasonal flu vaccines in order to limit the risk that the two flu viruses will mingle inside one person, he adds.
Others worry that 10 million vaccine doses aren’t enough for a country with a population of around 341 million. But health agencies “walk a razor-thin line between having too much vaccine for something and not having enough,” says Khan. If an outbreak never transpires, 340 million doses of vaccine will feel like an enormous waste of resources.
We can’t predict how well these viruses will work, either. Flu viruses mutate all the time, and even seasonal flu vaccines are notoriously unpredictable in their efficacy. “I think we’ve become a little bit spoiled with the covid vaccines,” says Koopmans. “We were really, really lucky [to develop] vaccines with high efficacy.”
One vaccine lesson we should have learned from the covid-19 pandemic is the importance of equitable access to vaccines around the world. Unfortunately, it’s unlikely that we have. “It is doubtful that low-income countries will have early access to [a pandemic influenza] vaccine unless the world takes action,” Nicole Lurie of the Coalition for Epidemic Preparedness Innovations (CEPI) said in a recent interview for Gavi, a public-private alliance for vaccine equity.
And another is the impact of vaccine hesitancy. Making vaccines might not be a problem—but convincing people to take them might be, says Khan. “We have an incoming administration that has lots of vaccine hesitancy,” he points out. “So while we may end up having … vaccines available, it’s not very clear to me if we have the political and social will to actually implement good public health measures.”
This is another outcome that is impossible to predict, and I won’t attempt to do so. But I am hoping that the relevant administrations will step up our defenses. And that this will be enough to prevent another devastating pandemic.
Bird flu has been circulating in US dairy cows for months. Virologists are worried it could stick around on US farms forever.
As the virus continues to spread, the risk of a pandemic continues to rise. We still don’t really know how the virus is spreading, but we do know that it is turning up in raw milk. (Please don’t drink raw milk.)
mRNA vaccines helped us through the covid-19 pandemic. Now scientists are working on mRNA flu vaccines—including “universal” vaccines that could protect against multiple flu viruses.
The next generation of mRNA vaccines is on the way. These vaccines are “self-amplifying” and essentially tell the body how to make more mRNA.
Maybe there’s an alternative to dairy farms of the type that are seeing H5N1 in their cattle. Scientists are engineering yeasts and plants with bovine genes so they can produce proteins normally found in milk, which can be used to make spreadable cheeses and ice cream. The cofounder of one company says a factory of bubbling yeast vats could “replace 50,000 to 100,000 cows.”
My colleagues and I put together an annual list of what we think are the breakthrough technologies of that year. This year’s list includes long-acting HIV prevention medicines and stem-cell treatments that actually work. Check out the full list here.
Calico, the Google biotech company focused on “tackling aging,” has released results from the trial of a drug to treat amyotrophic lateral sclerosis (ALS). The drug failed. (STAT)
Around the world, birth rates are falling. The more concerned nations become about this fact, the greater the risk to gender rights, writes Angela Saini. (Wired)
Brooke Eby, a 36-year-old with ALS, is among a niche group of content creators documenting their journeys with terminal illness on social media platforms like TikTok. “I’m glad that I’m sharing my journey. I wish someone had come before me and shared, start to finish …,” she said. “I’m just going to post all this, because maybe it’ll help someone who’s like a year behind me in their progression.” (New York Times)
Do we each have 30 trillion genomes? A growing understanding of genetic mutations that occur in adults is changing the way doctors diagnose and treat disease. (The Atlantic)

More than half of wealth advisers in the United States surveyed by Bitwise say they’re more open to investing in cryptocurrency after Trump won the US election in November.