Amid economic turmoil and scarce job opportunities, workers across diverse careers grapple with heightened anxiety as executives remain vague about AI's potential to replace human roles, fueling widespread uncertainty about job security.
Large AI language models continue to hallucinate plausible but false statements, prompting researchers to propose updated evaluations that discourage confident guessing by penalizing confident errors more severely and rewarding expressed uncertainty.
Trump hosts 33 tech titans for White House dinner, where attendees pledge billions in U.S. investments, signaling industry's warming ties with administration despite notable absences like Elon Musk and Jensen Huang.
In a groundbreaking move, OpenAI and Walmart unveil a massive AI upskilling initiative, offering a free online platform to train millions of workers in AI skills, with Walmart providing hands-on experience with AI tools to its associates.
In a meeting with President Trump, Meta CEO Mark Zuckerberg announces a staggering $600 billion US investment plan by 2028, only to admit in a hot mic gaffe that he fabricated the figure, while tech rivals share AI investment plans.
Massive investments by tech giants into AI data centers are driving U.S. economic growth, with spending on AI infrastructure surpassing consumer spending and nearing 2% of GDP, diverting capital from other sectors like venture capital and manufacturing.
OpenAI collaborates with Broadcom on custom AI chips scheduled for launch in 2024, aiming to meet soaring computing demands and reduce reliance on Nvidia while utilizing the chips internally rather than selling them to customers.
OpenAI projects a staggering $115 billion cash burn by 2029, $80 billion higher than earlier estimates, as soaring costs drive the AI giant to develop its own chips and data centers to power its cutting-edge technology.
In a landmark settlement, Anthropic AI pays $1.5 billion to resolve copyright claims from authors over an estimated 500,000 books used to train its AI models, compensating writers around $3,000 per book.
The U.S. Navy aggressively develops AI-powered combat assistants and decision aids, integrating machine learning into the AN/BYG-1 submarine combat system for enhanced tactical control, payload integration, and AI-driven decision support in undersea warfare.