…Our purpose in creating the TIME100 AI is to put leaders like [Sundar] Pichai and [Meredith] Whittaker in dialogue and to open up their views to TIME’s readers. That is why we are excited to share with you the second edition of the TIME100 AI. We built this program in the spirit of the TIME100, the world’s most influential community. TIME’s knowledgeable editors and correspondents, led by Emma Barker and Ayesha Javed, interviewed their sources and consulted members of last year’s list to find the best new additions to our community of AI leaders. Ninety-one of the members of the 2024 list were not on last year’s, an indication of just how quickly this field is changing. They span dozens of companies, regions, and perspectives, including 15-year-old Francesca Mani, who advocates across the U.S. for protections for victims of deepfakes, and 77-year-old Andrew Yao, one of China’s most prominent computer scientists, who called last fall for an international regulatory body for AI. — Read More

#strategy

In a recent appearance on Conversations with Tyler, famed political forecaster Nate Silver expressed skepticism about AIs replacing human forecasters in the near future. When asked how long it might take for AIs to reach superhuman forecasting abilities, Silver replied: “15 or 20 [years].”

In light of this, we are excited to announce “FiveThirtyNine,” a superhuman AI forecasting bot. Our bot, built on GPT-4o, provides probabilities for any user-entered query, including “Will Trump win the 2024 presidential election?” and “Will China invade Taiwan by 2030?” Our bot performs better than experienced human forecasters and performs roughly the same as (and sometimes even better than) crowds of experienced forecasters; since crowds are for the most part superhuman, so is FiveThirtyNine. — Read More

Artificial intelligence is worse than humans in every way at summarising documents and might actually create additional work for people, a government trial of the technology has found.

Amazon conducted the test earlier this year for Australia’s corporate regulator the Securities and Investments Commission (ASIC) using submissions made to an inquiry. The outcome of the trial was revealed in an answer to a questions on notice at the Senate select committee on adopting artificial intelligence.

… [R]eviewers overwhelmingly found that the human summaries beat out their AI competitors on every criteria and on every submission, scoring an 81% on an internal rubric compared with the machine’s 47%.  — Read More

The rise of generative artificial intelligence (AI), natural language processing, and computer vision has sparked lofty predictions: AI will revolutionize business operations, transform the nature of knowledge work, and boost companies’ bottom lines and the larger global economy by trillions of dollars.

Executives and technology leaders are eager to see these promises realized, and many are enjoying impressive results of early AI investments. Balakrishna D.R. (Bali), executive vice president, global services head, AI and industry verticals at Infosys, says that generative AI is already proving game-changing for tasks such as knowledge management, search and summarization, software development, and customer service across sectors such as financial services, retail, health care, and automotive. — Read More

AI pioneer Andrew Ng has released a simple online tool that allows anyone to tinker with the dials of a solar geoengineering model, exploring what might happen if nations attempt to counteract climate change by spraying reflective particles into the atmosphere.

The concept of solar geoengineering was born from the realization that the planet has cooled in the months following massive volcanic eruptions, including one that occurred in 1991, when Mt. Pinatubo blasted some 20 million tons of sulfur dioxide into the stratosphere. But critics fear that deliberately releasing such materials could harm certain regions of the world, discourage efforts to cut greenhouse-gas emissions, or spark conflicts between nations, among other counterproductive consequences

The goal of Ng’s emulator, called Planet Parasol, is to invite more people to think about solar geoengineering, explore the potential trade-offs involved in such interventions, and use the results to discuss and debate our options for climate action. The tool, developed in partnership with researchers at Cornell, the University of California, San Diego, and other institutions, also highlights how AI could help advance our understanding of solar geoengineering.  — Read More

Try the Model

Keeping up with the ever-expanding universe of consumer gen AI products is a dynamic, fast-moving job, whether we’re building time-saving new workflows, exploring real–world uses, or experimenting with new creative stacks. But amid the relentless onslaught of product launches, investment announcements, and hyped-up features, it’s worth asking: Which of these gen AI apps are people actually using? Which behaviors and categories are gaining traction among consumers? And which AI apps are people returning to, versus dabbling and dropping?

Welcome to the third installment of the Top 100 Gen AI Consumer Apps.

Every six months, we take a deeper dive into the data to rank the top 50 AI-first web products (by unique monthly visits) and top 50 AI-first mobile apps (by monthly active users). This time, nearly 30% of the companies were new, compared to our previous March 2024 report.

Read More

Hundreds of millions of people have tried ChatGPT, but most of them haven’t been back. Every big company has done a pilot, but far fewer are in deployment. Some of this is just a matter of time. But LLMs might also be a trap: they look like products and they look magic, but they aren’t. Maybe we have to go through the slow, boring hunt for product-market fit after all.

My old boss Marc Andreessen liked to say that every failed idea from the Dotcom bubble would work now. It just took time – it took years to build out broadband, consumers had to buy PCs, retailers and big companies needed to build e-commerce infrastructure, a whole online ad business had to evolve and grow, and more fundamentally, consumers and businesses had to change their behaviour. The future can take a while – it took more than 20 years for 20% of US retail to move online.

… For consumers, ChatGPT is just a website or an app, and (to begin with) it could ride on all of the infrastructure we’ve built over the last 25 years. So a huge number of people went off to try it last year. The problem is that most of them haven’t been back. — Read More

AI isn’t coming for your current job. It’s coming for your next one — and has already wrecked it

… According to a wide variety of institutions and publications, the past two years have featured the strongest labor environment in decades. The Commerce Department announced in February of 2023 that “Unemployment is at its lowest level in 54 years.” When this April’s official numbers showed that the U.S. recorded its 27th straight month of sub-4% unemployment, tying the second-longest streak since World War II, the Center for Economic and Policy Research was but one of a multitude of sources celebrating: “This matches the streak from November 1967 to January 1970, often viewed as one of the most prosperous stretches in US history.” In June, Investopedia practically gushed that “U.S. workers are in the midst of one of the best job markets in history. They haven’t had this much job security since the 1960s, and haven’t seen a longer stretch of low unemployment since the early 1950s.”

Arguments about statistical methodology aside, there’s nothing to suggest that those headline numbers were incorrect to any significant extent. But raw unemployment is considered a lagging economic indicator, and there is quite a bit of evidence supporting the premise that, below the surface, the biggest drivers of new employment — online job listings — have become elaborate façades destined to cause more problems than they solve for those seeking work.  — Read More

After beating humans at everything from the game of Go to strategy board games, Google DeepMind now says it is on the verge of besting the world’s top students at solving mathematics problems.

The London-based machine-learning company announced on 25 July that its artificial intelligence (AI) systems had solved four of the six problems that were given to school students at the 2024 International Mathematical Olympiad (IMO) in Bath, UK, this month. The AI produced rigorous, step-by-step proofs that were marked by two top mathematicians and earned a score of 28/42 — just one point shy of the gold-medal range.

… DeepMind and other companies are in a race to eventually have machines give proofs that would solve substantial research questions in maths. Problems set at the IMO — the world’s premier competition for young mathematicians — have become a benchmark for progress towards that goal, and have come to be seen as a “grand challenge” for machine learning, the company says. — Read More