Author: Advanced AI Editor

A revival of nuclear energy is spurring demand for uranium, as the hunt for fuel reshapes the investment landscape. Described as “the heavenly atom ,” uranium and its concentrated energy are essential for fueling nuclear reactors. After years of skepticisim following the Fukushima disaster of 2011, a growing need for large, reliable supplies of power to support the world’s AI boom has brought nuclear energy — and the fuel required for it — back into the spotlight. Demand for uranium is forecast to rise by nearly a third to roughly 86,000 tons by 2030 and to rise to 150,000 tons…

OpenAI is one of the best cloud customers in the world right now. That could change in the future, though.In a clear warning shot over future competition, OpenAI Chief Financial Officer Sarah Friar said cloud providers have been “learning on our dime,” and she wants to ensure the startup isn’t giving away its AI know-how to these tech giants.OpenAI has massive computing needs to support its booming ChatGPT service and a growing enterprise AI business. That means the startup works with most of the major cloud providers now, including Microsoft, Google, Oracle, and CoreWeave.”As we help our partners design the…

Explaining further to Ars, Reddit spokesperson Tim Rathschmidt said: There was a small bug in a test we ran that mistakenly caused the English-to-English translation(s) you saw. That bug has been resolved. Unsurprisingly, English-to-English translations are not part of our strategy, as they aren’t necessary. English-to-English translations were not a desired or expected outcome of the test. Reddit pulled the test it was running, but its machine learning-powered translations are still functioning, Rathschmidt said. The company plans to fix the bug and run its unspecified “test” again. Reddit’s explanation differs from user theories floating around beforehand, which were mainly that Reddit…

Dr. Regina Barzilay’s world turned upside down when she was diagnosed with breast cancer in 2014. It seemed to come out of nowhere. She didn’t know anyone in her family who had BRCA genes — the genes normally associated with higher risks of developing breast and ovarian cancer — and she was living a healthy lifestyle.Barzilay said she wishes that she had had access to an artificial intelligence tool she later developed with Massachusetts Institute of Technology students called Mirai. The tool takes a mammogram and determines the likelihood of developing the disease in five years.Mirai, released in 2019, is…

A startup called Definite reckons it can help businesses to do away with their clunky big-data stacks and business intelligence tools after raising $10 million in seed funding today. The round was led by Coatanoa and saw participation from Acrew Capital and a number of strategic angel investors. Definite, officially known as Luabase Inc., is the creator of an all-encompassing, full-stack and artificial intelligence-native data platform. Its goal is to help enterprises to rip out a mix of costly big-data tools, replacing them with something that’s much simpler to set up and significantly more affordable. As the startup explains, most…

While Europe may lag overall in the race for global AI dominance, the region has produced some strong contenders. Among them, the most heavily funded and probably best known is Paris-based generative AI startup Mistral AI, which was in the spotlight today with the announcement of a roughly $2 billion Series C round. Semiconductor equipment manufacturer ASML Holding led the financing, joined by a long list of existing investors 1. The round sets a $13.7 billion valuation for the 2-year-old company, which is roughly double the level set in its June 2024 Series B. The new valuation may sound middle-of-the-road…

Grieving job layoffs while battling the uncertainty of navigating a fiercely competitive job market can impact your mental health. New research reveals that layoffs are sparking a mental health pandemic in the U.S. The American Psychological Association notes that the impact of layoffs can have a long-term impact on workers’ mental health and emotional well-being. As the workforce witnessed a 140% increase in layoffs in July 2025 compared to July 2024, laid-off workers are left suspended in a “what’s next?” mindset.The Neuroscience Of Job LayoffsLosing your job can be both psychologically and financially traumatic, elevating stress, creating depression, and in…

Independent AI researcher Simon Willison, reviewing the feature today on his blog, noted that Anthropic’s advice to “monitor Claude while using the feature” amounts to “unfairly outsourcing the problem to Anthropic’s users.” Anthropic’s mitigations Anthropic is not completely ignoring the problem, however. The company has implemented several security measures for the file creation feature. For Pro and Max users, Anthropic disabled public sharing of conversations that use the file creation feature. For Enterprise users, the company implemented sandbox isolation so that environments are never shared between users. The company also limited task duration and container runtime “to avoid loops of…

Documents from the estate of Jeffrey Epstein that were submitted to the US House of Representatives Oversight Committee—including pages from a birthday book which included contributions from collectors Leon Black and Leslie Wexner—were recently released in full by the panel. A partially redacted version of the leather-bound book compiled for Epstein’s 50th birthday was released on September 8, including the lewd drawing from President Donald Trump in the shape of a naked woman, and uploaded online by Axios. The book includes poems, photos, and messages from friends and business associates. It was compiled by Ghislaine Maxwell, his former associate who…

The integration of Large Language Models (LLMs) into automated theorem proving has shown immense promise, yet is fundamentally constrained by challenges in scaling up both training-time reinforcement learning (RL) and inference-time compute. This paper introduces \texttt{BFS-Prover-V2}, a system designed to address this dual scaling problem. We present two primary innovations. The first is a novel multi-turn off-policy RL framework for continually improving the performance of LLM step-prover at training time. This framework, inspired by the principles of AlphaZero, utilizes a multi-stage expert iteration pipeline featuring adaptive tactic-level data filtering and periodic retraining to surmount the performance plateaus that typically curtail…