It’s easy to recognize the folly of trying to predict the market, but there are still useful predictions to offer.
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A handful of high-profile defamation-by-AI-chatbot allegations against big tech firms are already stacking up.
In memo this week, Altman promised the release of a new reasoning model next week that bests Google’s Gemini.
Gemini was trained on Google’s in-house chips, which look like a cheaper and more efficient alternative to Nvidia’s cutting-edge products.
ETF investors can feel the magic between A and I. It’s why they say they’re loading up on funds.
Digital asset treasury companies are grappling with the law of diminishing returns in the midst of a cryptocurrency swoon. What’s next?
Executives are touting Gemini 3, which comes eight months after the chatbot’s 2.5 model, as a “massive jump” for AI.
The $38 billion deal with Amazon is somehow small potatoes compared to some of OpenAI’s other gigantic agreements.
The 10 most valuable US companies had a market capitalization of nearly $24.4 trillion as of October
As enterprise spending on cloud continues to skyrocket, some leaders are questioning when enough is enough and weighing alternatives.
The White House hinted early Wednesday morning that Nvidia may regain greater access to the massive Chinese market.
Microsoft wants to patent a system to improve how an LLM writes code in response to requests. One step is learning to recognize good code.
From avatars’ face movements to audio enhancement, Google is seeking to patent methods for improving video calls.
Respondents in Bank of America’s October Global Fund Manager Survey cited an AI bubble as the biggest tail risk facing the global economy.
A nuclear boom is directly downstream from the AI boom, with $350 billion in nuclear spending in the US planned by 2050, per Bloomberg.