When it comes to AI, it’s not easy being green.  The technology requires massive amounts of computing power, which means consuming massive amounts of electricity. Giant new AI-focused data centers powered by carbon-intensive electricity plants are being built and planned across the US — and those plants are, as a group, far dirtier than plants

Apple’s continued success in the enterprise isn’t just the happy consequence of a series of lucky accidents; it’s happening because — while masked by its consumer-focused marketing machine — the company pays close attention to what business customers need.  Along with its customary business and focus on specific verticals, Apple has teams across the company who spend much of

Microsoft is betting hard on recruiting AI talent from Meta, Business Insider reports, with an internal list of the developers and researchers at the rival firm who are at the top of Microsoft’s wish list. To succeed, Microsoft has put in place a new process and set aside a dedicated budget to make competitive offers

GPT-Whiff It has only been five days since OpenAI’s long-awaited GPT-5 model was released — and in those five days, we’ve been given countless reasons to conclude that it’s a bit of a dud. From Axios‘ review announcing that the new large language model (LLM) has “landed with a thud” to Ars Technica making the argument that the

As OpenAI continues to try to tamp down on the chaos of GPT-5’s disastrous release, CEO Sam Altman is throwing digs at the company’s now-deprecated and controversial model. Late last week, OpenAI finally rolled out GPT-5, the latest version of its flagship large language model. Without warning, the company replaced all previous versions with the

The long-awaited release of OpenAI’s GPT-5 has gone over with a wet thud. Though the private sector continues to dump billions into artificial intelligence development, hoping for exponential gains, the research community isn’t convinced. Speaking to The New Yorker, Gary Marcus, a neural scientist and longtime critic of OpenAI, said what many have been coming to suspect:

A week after Huawei announced its decision to open-source the CANN (Compute Architecture for Neural Networks) software toolkit, the tech industry is still processing what this move means for the future of AI development. By making its Huawei CANN open source alternative to CUDA freely available to developers worldwide, the Chinese tech giant has fired

Anthropic has detailed its safety strategy to try and keep its popular AI model, Claude, helpful while avoiding perpetuating harms. Central to this effort is Anthropic’s Safeguards team; who aren’t your average tech support group, they’re a mix of policy experts, data scientists, engineers, and threat analysts who know how bad actors think. However, Anthropic’s

Training AI models requires choosing an optimizer and for nearly a decade, Adam( (opens in new tab)–W) (opens in new tab) has been the optimizer of choice. Given that durability and success, it was fair to doubt that any further improvement was possible. And yet, last December, a new optimizer called Muon (opens in new

DEEPX (CEO Lokwon Kim), an AI semiconductor company specializing in low-power on-device AI, announced on the 18th that it has signed a ‘PaddlePaddle Technology Ecosystem Partnership’ agreement with global AI leader Baidu in Shenzhen, China, and will begin strategic cooperation to spread AI solutions applicable to global industrial sites. As an official ecosystem partner based