Robots powered by large language models are failing critical safety tests according to new research. Every tested model approved commands that could cause serious harm and displayed discriminatory behavior. The findings raise urgent questions about AI safety in physical robots.
Michael Burry claims AI hyperscalers are extending the useful life of chips to reduce depreciation expenses. He estimates this could inflate industry earnings by $176 billion through 2028. The investor has placed massive bets against Nvidia and Palantir.
A startup called Carbon3.ai has submitted plans to build up to five modular AI data center units on a landfill site in Derbyshire, UK. The facility would be powered by the adjacent Erin Powerplant that generates energy from the landfill. The company claims this represents “strategic regional and nat
The battle for AI isn’t about algorithms anymore – it’s about who controls the computing power. With Nvidia dominating 94% of the GPU market and two unnamed customers accounting for 39% of quarterly revenue, smaller players are being squeezed out. A new wave of decentralized compute networks aims to
CoreWeave nearly doubled its contracted future revenue to $55.6 billion but revised 2025 revenue guidance downward due to construction delays. The AI infrastructure provider beat Q3 revenue estimates but saw its stock drop 6% as investors worry about its growing debt load and profitability challenge
CoreWeave reported third-quarter revenue of $1.36 billion, soaring 134% year-over-year. The AI infrastructure provider narrowed its net loss to $110 million while securing massive contracts with OpenAI and Meta.
CoreWeave just reported staggering earnings that crushed Wall Street expectations. The cloud computing company’s future revenue backlog exploded to $55.6 billion thanks to massive contracts with AI giants.
Gamma just raised $68 million at a $2.1 billion valuation while hitting $100 million in annual recurring revenue. The AI presentation tool has grown to 70 million users while remaining profitable with minimal staff.
New research from Cornell shows AI’s explosive growth comes with staggering environmental costs. By 2030, data centers could emit carbon equivalent to adding millions of cars while draining water for millions of households. The study offers a roadmap to slash these impacts by up to 86%.
A new survey reveals employees think workplace changes are making them less efficient and more stressed. Management isn’t listening to what workers actually need, and it’s costing companies results.
