Online learning company Chegg is laying off almost a quarter of its workforce amid worries that AI is doing people’s homework for them.
Our daily email brings you smart and engaging news and analysis on the biggest stories in business and finance. For free.
AI-powered search engine startup Perplexity announced a revenue-sharing program on Tuesday with a handful of media companies.
Tech firms like Microsoft and Google already have a massive head start in workplace tools.
Apple, Amazon, Microsoft and Meta all report earnings this week. Wall Street is dying for any hint that heavy investment in AI is paying off.
The future of traditional search engines got a rude awakening last week as an Apple executive predicted their eventual demise.
Meta debuted the latest version of Llama, its large-language model. Unlike rival ChatGPT, Llama is open source.
Artificial intelligence may be one of the fastest-growing tools in business, but don’t tell that to the compliance department.
Though AI has the potential to make troubleshooting issues a much more streamlined process, models still often face accuracy issues.
Small and energy-efficient models have garnered growing attention in recent months.
The EU’s landmark AI Act is due to come into force next month, and founders and lawmakers are fretting over whether it’s fit for its purpose.
The benefits of watermarking AI are clear: “It’s preventing fraud, preventing misinformation and disinformation.
OpenAI allegedly issued overly-restrictive non-disclosure agreements that could penalize anyone who blows the whistle to government agencies.
Microsoft hasn’t signed off on OpenAI’s dramatic reversal of its onetime plan to become a for-profit venture.
Big Tech is hoping AI-powered smartphones will be the first of many great returns on its eye-popping AI investments.
This year’s Nvidia GTC event comes after the bombshell DeepSeek moment, the acceleration of a global trade war, and a broader market rout.
Along with mitigating hallucinations, this tech creates an audit trail for more transparency between the model and its users.