Artificial intelligence (AI) is changing rapidly. The technology, which relies on large datasets and powerful computers, has recently made huge strides in solving real-world problems. As “large language models”—the type of AI that powers ChatGPT, a chatbot made by a startup called OpenAI—have been scaled up, they have surprised even their creators with their unexpected talents.
Below you will find our most recent coverage, including an explanation of how AI works, and why it matters. For a greater understanding of how AI might change the course of history, read our analyses of its economic impact and of how deep learning will improve scientific research.
Is this the twilight of the screen age?
It hopes to seize on AI to transform the future of work
Three forces will shape the business of generative AI
It has released the world’s most powerful open-source model, and will soon launch an AI company
What the business of AI’s leading startup says about the technology’s future
It is not a big enough player in AI
Technology and research
Previous scientific revolutions have been led by academic journals and laboratories. Robots might create the next one
Baidu’s bot is catapulting its maker back to stardom
Some are getting good enough to fool humans
If AI is to keep getting better, it will have to do more with less
No model is perfect. But that doesn’t stop them being useful
Open-source AI is booming. That makes it less likely that a handful of firms will control the technology
Business and economics
Feeding ever-larger models is requiring makers to get creative
That is bad news for your earnings—and the broader economy
How to transform companies for the digital era, brick by pixel
We calculate the extent to which the recent rally depends on tech optimism
Competition and regulation may pose a threat—but only eventually
Private startups or public markets?
Policy and regulation
The NHS should clean up and open up its data. Patients will benefit
Disinformation will become easier to produce, but it matters less than you might think
How polarisation inoculates Americans against misinformation
Professional “superforecasters” are more optimistic about the future than AI experts
That is good news for travellers, bad news for soulful connection
Three things need to be done to make the most of meteorology’s potential
That could help fraudsters and disrupt creative industries
Even if it doesn’t replace lawyers en masse
AI models not only reflect but magnify what they see in the images they are fed
The rise of the robot reporter implies profound changes to the nature of the news