David Luan News Today

The AI industry this year is set to be defined by one main characteristic: A remarkably rapid improvement of the technology as advancements build upon one another, enabling AI to generate new kinds of media, mimic human reasoning in new ways and seep into the physical world through a new breed of robot. A guide to how AI is set to change this year, beginning with the nearest-term advancements.

By Cade Metz New York - At an event in San Francisco in November, Sam Altman, the chief executive of the artificial intelligence company OpenAI, was asked what surprises the field would bring in 2024. Online chatbots like OpenAI’s ChatGPT will take “a leap forward that no one expected,” Mr. Altman immediately responded. Sitting beside him, James Manyika, a Google executive, nodded and said, “Plus one to that.”

The most optimistic promises of AI will likely not be realized in 2024. Hopefully, any disappointments will not result in another AI winter.

SAN FRANCISCO — At an event in San Francisco in November, Sam Altman, CEO of artificial intelligence company OpenAI, was asked what surprises the field would bring in 2024.

A.I. is set to advance at a rapid rate, becoming more powerful and spreading into the physical world.

AI is set to advance at a rapid rate, becoming more powerful and spreading into the physical world. At an event in San Francisco in November, Sam Altman, CEO...

An experimental AI helper attempts to operate a web browser in the same way a human does to take on office admin like processing invoices or screening job applicants.

OpenAI's GPT-4V is being hailed as the next big thing in AI: a "multimodal" model that can understand both text and images. This has obvious utility, which is why a pair of open source projects have released similar models — but there's also a dark side that they may have more trouble handling. Multimodal models can do things that strictly text- or image-analyzing models can't.

A deep dive into Transformer a neural network architecture that was introduced in the famous paper “attention is all you need” in 2017, its applications, impacts, challenges and future directions

Some of the most promising AI assistants are being primed in very different ways to help us in our work and personal lives