#artificial-intelligence

Block CEO Jack Dorsey has eliminated roughly 4,000 positions, halving the payments company's employee base. Dorsey framed the cuts as an inevitable consequence of AI-driven efficiency, warning that other companies will follow suit.

Nvidia reported fiscal Q4 revenue of $68.1 billion, a 73% year-over-year surge, as hyperscalers collectively committed $650 billion in AI infrastructure spending for 2026. Despite the blowout results, investors remain cautious about whether the AI boom can sustain its breakneck pace.

Atlassian's latest Jira update allows organizations to assign tasks to AI agents alongside human team members. The feature treats autonomous software agents as first-class participants in project workflows, reflecting the rapid normalization of AI in enterprise operations.

London-based autonomous driving startup Wayve has closed a $1.2 billion Series D round, valuing the company at $8.6 billion. The funding will accelerate commercial robotaxi trials with Uber in London this year and consumer vehicle deployments by 2027.

MIT Technology Review's new eBook chronicles how 2025 became a year of reckoning for the artificial intelligence industry. From autonomous agents that could not complete basic tasks to enterprise deployments delivering zero business value, the gap between AI promises and reality has never been starker.

Researchers at UC San Francisco and Wayne State University found that generative AI chatbots could process complex medical datasets in minutes rather than months, with junior researchers using AI matching or exceeding the output of experienced teams. The study compressed nearly two years of human research work into six months.

Neuromorphic computers modeled after the human brain have demonstrated a surprising ability to solve the complex differential equations that power physics simulations.

A NASA scientist's 169,000-mile Tesla experience reveals dramatic FSD improvements from v12 to v14, while ChatGPT image tests expose stubborn AI accuracy limits.

A new massively multiplayer online game is designed with no human players at all. Every participant is an AI agent, creating an unprecedented digital ecosystem.

Deep learning models and expanded NOAA mapping now cover 60 percent of the U.S. population, promising faster, more accurate flood forecasts.

A new AI-powered flood prediction framework outperforms traditional models. It delivers faster, more accurate forecasts across entire river networks.

A promising AI-driven materials science startup has secured $8 million in funding to revolutionize how electric vehicle components are discovered and developed. The company uses machine learning to compress years of laboratory research into weeks.