AI Infrastructure

AI’S MOST INFLUENTIAL PEOPLE NOW INCLUDE THE PEOPLE TRYING TO CONTROL IT. TIME has released the TIME100 AI 2026, its fourth annual list of the 100 most influential people in artificial intelligence. The familiar names are present: Sam Altman, Elon Musk, Dario Amodei, Jeff Bezos, Larry Ellison and Mira Murati. But the real story lies beyond the billionaires building increasingly intelligent machines. The list also includes Bernie Sanders, who says development of superintellige

AI MAY HAVE DISCOVERED HOW TO THINK WITHOUT TALKING TO ITSELF. Most leading generative AI systems today are built on Transformer-based or Transformer-derived architectures. Transformers power systems such as ChatGPT, Claude and Gemini. They process sequences of tokens and can solve difficult problems by generating long chains of intermediate reasoning. The harder the problem, the more computation the model may need. And often, the more tokens it produces. Researchers at AI co

AI JUST LEARNED HOW TO USE THE MACHINES. Anthropic has introduced the Anthropic Model Hardware Standard, or MHS, a new system designed to allow artificial intelligence agents to discover, understand and operate physical equipment, including microscopes, robotic arms, laboratory instruments and factory machinery. Until now, connecting AI to specialized hardware often required engineers to spend weeks or even months writing custom software for individual machines. Under Anthrop

OpenAI has previewed Ultrafast, a Cerebras-powered API tier that runs its flagship GPT-5.6 Sol model at up to 14 times normal speed, reaching as much as 750 output tokens per second. The model did not get smaller, simpler or less intelligent. It simply stopped dawdling. The partnership was announced in January, with Cerebras expected to provide OpenAI with 750 megawatts of high-speed AI inference capacity. In Cerebras testing, OpenAI Ultrafast completed Humanity’s Last Exam’s

Chinese AI company Moonshot AI has officially released the weights and technical report for Kimi K3, its 2.8-trillion-parameter mixture-of-experts model—and the largest open-weight AI system ever published. The model activates approximately 104 billion parameters for each token it processes. Earlier this month, K3 rattled the frontier after approaching Claude Fable 5 and GPT-5.6 Sol across major benchmarks—and outperforming them on several individual tests. Now, anyone who ac

Florida is attracting a growing wave of proposed AI infrastructure projects, but the expansion is raising a critical question: Can the state embrace the AI revolution while protecting the natural resources and communities that make it unique? ✨ The Details Large AI data centers can require substantial amounts of electricity and water to power and cool the advanced chips behind today’s most capable AI systems. The exact impact depends on the size of each facility, its cooling

🏗️ Local Pushback Stops Development Officials in Nassau County, Florida have approved a temporary pause of up to one year on new data center development after strong community opposition to a proposed energy site that included potential hyperscale AI data center development. 🌎 A Massive Project The proposal involved a 1,600-acre site, with roughly 400 acres identified as a potential hyperscale data center capable of supporting next-generation artificial intelligence infrast

AI infrastructure is no longer just a Silicon Valley story. Across South Florida, a new wave of data center and compute projects is beginning to collide with local concerns over power, water, zoning, land use, and neighborhood impact. What looks from the outside like a giant warehouse may soon become part of the physical backbone of the AI economy. And South Florida is now directly in the middle of that fight. 🌴 South Florida Enters the AI Infrastructure Race The biggest fla

A bold new vision for AI infrastructure is emerging. Peter Thiel has reportedly led a $140 million funding round into Panthalassa, a startup building autonomous floating compute platforms designed to generate power from ocean waves. The concept sounds futuristic — but floating AI data centers may help solve one of AI’s biggest looming problems: where to put the massive, energy-hungry compute systems powering the AI revolution. ⚙️ How Floating AI Data Centers Could Work Massiv