To keep AI systems running, data center developers are bypassing the overloaded electric grid. They’re installing power sources like aeroderivative turbines from old 747s and massive diesel generators, creating a major environmental and economic trade-off.
In 2025, AI tools like Google’s Gemini and NotebookLM became essential for research and coding. But features bolted onto existing apps like Gmail and Word feel more like a tax than a benefit. The good stuff is getting really good, but the overpromising hasn’t stopped.
The author, who pioneered machine teaching at Microsoft, says enterprises are stuck in “pilot purgatory” because AI agents aren’t given room to practice. True expertise, like on a basketball team, comes from repetition and defined roles in realistic environments.
The race for AI compute is breaking all the old rules. With Moore’s Law fading, companies like Cerebras are building radically different hardware, like a 30cm chip with 90,000 cores, to power the next generation.
As 2025 ends, business leaders are planning for a 2026 shaped by AI’s continued boom, shrinking DEI initiatives, and stricter return-to-office rules. The article argues against an AI bubble, emphasizing a seismic shift in human-machine interaction. Success will hinge on insulating against turbulence
Meta AI is the chatbot and infrastructure powering features across Facebook, Instagram, and WhatsApp. It’s based on the LLaMA models and is designed for social media, but its “open-source” claims are controversial. There’s no way to fully disable it.
The Kyiv-based startup behind the viral face-swapping app has landed a unique funding deal. The €15.2 million isn’t traditional venture capital—it’s a non-dilutive investment specifically for acquiring new users.
A research team at the University of Houston has developed a specialized 2D thin-film dielectric material. This breakthrough aims to replace heat-generating components in chips, potentially making AI devices significantly faster while slashing their massive power consumption.
Forget robot surgeons for a second. The real, expensive problem in hospitals is the chaos *between* surgeries. A startup called Akara is tackling it with an AI system that acts like air traffic control for the OR.
NVIDIA is taking a surprising approach to sell its H200 AI chips in China: aggressive pricing. Reports suggest the new, more powerful chips will cost about the same as the older, restricted H20 models. This move could trigger a massive spending spree from Chinese tech giants.
