The team later launched their second AI-generated novel, The Awakening at the Machine Epoch, which features a more gripping narrative, averaging 1.5 conflicts per chapter compared to the 1.2 in their ...

AI's economic impact splits into Type 1 (efficiency gains) and Type 2 (new value creation); most current monetization is Type 1. Leading players—Google, Microsoft, Amazon, Meta—pursue distinct ...

David Sacks said AI and bots could boost the US economy and improve the nation's fiscal outlook. Sacks, the White House AI and crypto czar, said economic growth could ease worries about US debt.

Not the first hype cycle indeed. Of course, generative AI in 2025 is much more advanced than the Eliza psychotherapy chatbot that first enraptured scientists in the 1970s.

The importance of humanoid robots to Beijing, as it looks for solutions to pressing issues including trade frictions with the U.S., population decline, and slowing growth, was underscored when ...

Similar to ChatGPT and other gen-AI platforms, there will also be preset search phrases you can tap, such as “I need a good cry,” “what’s new in true crime,” and “stories about dancers.” ...

In January 2023, just two months after OpenAI launched ChatGPT, a survey of 1,000 college students found that nearly 90 percent of them had used the chatbot to help with homework assignments.

AI I’ve tested every major AI chatbot in 2025 — these 5 prompts never fail me Features By Amanda Caswell published 6 May 2025 These are my 5 ride-or-die prompts Comments ( 0 ) ...

When an AI chatbot answers your questions, what you see is a summary of the information it finds. But those details are only as good as the sources—and right now, they’re not always top caliber.

Two of the robots at the Seattle site straddle a conveyor belt, scanning for high-density polyethylene, better known as HDPE or No. 2 plastics. One robot looks for colored HDPE that’s used for ...

Meta, Google, and OpenAI allegedly exploited undisclosed private testing on Chatbot Arena to secure top rankings, raising concerns about fairness and transparency in AI model benchmarking.