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In the world of AI, a lot can happen in a year. Last year, at the beginning of Big Tech’s AI wars, Google announced during its annual I/O conference that it was throwing generative AI at everything, integrating it into its suite of products from Docs to email to e-commerce listings and its chatbot Bard. It was an effort to catch up with competitors like Microsoft and OpenAI, which had unveiled snazzy products like coding assistants and ChatGPT, the product that has done more than any other to ignite the current excitement about AI.

Since then, its ChatGPT competitor chatbot Bard (which, you may recall, temporarily wiped $100 billion off Google’s share price when it made a factual error during the demo) has been replaced by the more advanced Gemini. But, for me, the AI revolution hasn’t felt like one. Instead, it’s been a slow slide toward marginal efficiency gains. I see more autocomplete functions in my email and word processing applications, and Google Docs now offers more ready-made templates. They are not groundbreaking features, but they are also reassuringly inoffensive. 

Google is holding its I/O conference tomorrow, May 14, and we expect them to announce a whole new slew of AI features, further embedding it into everything it does. The company is tight-lipped about its announcements, but we can make educated guesses. There has been a lot of speculation that it will upgrade its crown jewel, Search, with generative AI features that could, for example, go behind a paywall. Perhaps we will see Google’s version of AI agents, a buzzy word that basically means more capable and useful smart assistants able to do more complex tasks, such as booking flights and hotels much as a travel agent would. 

Google, despite having 90% of the online search market, is in a defensive position this year. Upstarts such as Perplexity AI have launched their own versions of AI-powered search to rave reviews, Microsoft’s AI-powered Bing has managed to increase its market share slightly, and OpenAI is working on its own AI-powered online search function and is also reportedly in conversation with Apple to integrate ChatGPT into smartphones. 

There are some hints about what any new AI-powered search features might look like. Felix Simon, a research fellow at the Reuters Institute for Journalism, has been part of the Google Search Generative Experience trial, which is the company’s way of testing new products on a small selection of real users. 

Last month, Simon noticed that his Google searches with links and short snippets from online sources had been replaced by more detailed, neatly packaged AI-generated summaries. He was able to get these results from queries related to nature and health, such as “Do snakes have ears?” Most of the information offered to him was correct, which was a surprise, as AI language models have a tendency to “hallucinate” (which means make stuff up), and they have been criticized for being an unreliable source of information. 

To Simon’s surprise, he enjoyed the new feature. “It’s convenient to ask [the AI] to get something presented just for you,” he says. 

Simon then started using the new AI-powered Google function to search for news items rather than scientific information.

For most of these queries, such as what happened in the UK or Ukraine yesterday, he was simply offered links to news sources such as the BBC and Al Jazeera. But he did manage to get the search engine to generate an overview of recent news items from Germany, in the form of a bullet-pointed list of news headlines from the day before. The first entry was about an attack on Franziska Giffey, a Berlin politician who was assaulted in a library. The AI summary had the date of the attack wrong. But it was so close to the truth that Simon didn’t think twice about its accuracy. 

A quick online search during our call revealed that the rest of the AI-generated news summaries were also littered with inaccuracies. Details were wrong, or the events referred to happened years ago. All the stories were also about terrorism, hate crimes, or violence, with one soccer result thrown in. Omitting headlines on politics, culture, and the economy seems like a weird choice.  

People have a tendency to believe computers to be correct even when they are not, and Simon’s experience is an example of the kinds of problems that might arise when AI models hallucinate. The ease of getting results means that people might unknowingly ingest fake news or wrong information. It’s very problematic if even people like Simon, who are trained to fact-check things and know how AI models work, don’t do their due diligence and assume information is correct. 

Whatever Google announces at I/O tomorrow, there is immense pressure for it to be something that would justify its massive investment into AI. And after a year of experimenting, there also need to be serious improvements in making its generative AI tools more accurate and reliable. 

There are some people in the computer science community who say that hallucinations are an intrinsic part of generative AI that can’t ever be fixed, and that we can never fully trust these systems. But hallucinations will make AI-powered products less appealing to users. And it’s highly unlikely that Google will announce it has fixed this problem at I/O tomorrow. 

If you want to learn more about how Google plans to develop and deploy AI, come and hear from its vice president of AI, Jay Yagnik, at our flagship AI conference, EmTech Digital. It’ll be held at the MIT campus and streamed live online next week on May 22-23.  I’ll be there, along with AI leaders from companies like OpenAI, AWS, and Nvidia, talking about where AI is going next. Nick Clegg, Meta’s president of global affairs, will also join MIT Technology Review’s executive editor Amy Nordrum for an exclusive interview on stage. See you there! 

Readers of The Algorithm get 30% off tickets with the code ALGORITHMD24.

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Deeper Learning

Deepfakes of your dead loved ones are a booming Chinese business

Once a week, Sun Kai has a video call with his mother. He opens up about work, the pressures he faces as a middle-aged man, and thoughts that he doesn’t even discuss with his wife. His mother will occasionally make a comment, but mostly, she just listens. That’s because Sun’s mother died five years ago. And the person he’s talking to isn’t actually a person, but a digital replica he made of her—a moving image that can conduct basic conversations. 

AI resurrection: There are plenty of people like Sun who want to use AI to interact with lost loved ones. The market is particularly strong in China, where at least half a dozen companies are now offering such technologies. In some ways, the avatars are the latest manifestation of a cultural tradition: Chinese people have always taken solace from confiding in the dead. Read more from Zeyi Yang. 

Bits and Bytes

Google DeepMind’s new AlphaFold can model a much larger slice of biological life
Google DeepMind has released an improved version of its biology prediction tool, AlphaFold, that can predict the structures not only of proteins but of nearly all the elements of biological life. It’s an exciting development that could help accelerate drug discovery and other scientific research. ​​(MIT Technology Review) 

The way whales communicate is closer to human language than we realized
Researchers used statistical models to analyze whale “codas” and managed to identify a structure to their language that’s similar to features of the complex vocalizations humans use. It’s a small step forward, but it could help unlock a greater understanding of how whales communicate. (MIT Technology Review)

Tech workers should shine a light on the industry’s secretive work with the military
Despite what happens in Google’s executive suites, workers themselves can force change. William Fitzgerald, who leaked information about Google’s controversial Project Maven, has shared how he thinks they can do this. (MIT Technology Review) 

AI systems are getting better at tricking us
A wave of AI systems have “deceived” humans in ways they haven’t been explicitly trained to do, by offering up false explanations for their behavior or concealing the truth from human users and misleading them to achieve a strategic end. This issue highlights how difficult artificial intelligence is to control and the unpredictable ways in which these systems work. (MIT Technology Review) 

Why America needs an Apollo program for the age of AI
AI is crucial to the future security and prosperity of the US. We need to lay the groundwork now by investing in computational power, argues Eric Schmidt. (MIT Technology Review) 

Fooled by AI? These firms sell deepfake detection that’s “REAL 100%”
The AI detection business is booming. There is one catch, however. Detecting AI-generated content is notoriously unreliable, and the tech is still in its infancy. That hasn’t stopped some startup founders (many of whom have no experience or background in AI) from trying to sell services they claim can do so. (The Washington Post) 

The tech-bro turf war over AI’s most hardcore hacker house
A hilarious piece taking an anthropological look at the power struggle between two competing hacker houses in Silicon Valley. The fight is over which house can call itself “AGI House.” (Forbes) 

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