When investors concentrate capital in AI-related companies, what does that mean for startups in other sectors?

The profusion and popularity of free, open-source models has raised questions about how AI companies can actually profit from their products.

AI-powered Google competitors are trying to figure out how to grab search revenue without losing users who are wary of advertising.

The early technological lead OpenAI had is fading, as Google and Meta continue to release and iterate competing AI products.

Next week it’ll be two years since the debut of OpenAI’s ChatGPT. Generative AI has developed a lot since then, though some people are still wary of it.

Meta has staked its entire AI strategy upon the open source route, allowing pretty much anyone access to its powerful large language models. Meanwhile, Google and OpenAI are keeping everything walled off.

Where’s the line between fair use and commercial exploitation when it comes to scraping the web to train artificial intelligence models?

And what do medieval times have to do with it?

Some experts are surprised we’re not using AI tools even more.

The very public OpenAI chaos is a teachable moment for policymakers and regulators, says NYU professor Gary Marcus.