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What if Nvidia, the company best known for powering the AI boom with its chips, decided it wanted to own a much bigger piece of the software side too? That may be happening. Nvidia has reportedly agreed to acquire Hugging Face, one of the biggest platforms for sharing and developing open-source AI models, for about $12.9 billion, according to The Information. But there is an important caveat:
For years, the AI boom has had a familiar supporting character: Nvidia. Every time AI models get smarter, companies need more computing power to run them. And for much of that journey, Nvidia’s powerful GPUs have been the hardware behind the scenes. Now, OpenAI wants to change that. On August 25, OpenAI revealed the first public benchmark results for Jalapeño, its custom AI inference chip developed with Broadcom.
For years, the AI revolution in medicine has sounded almost too good to be true. Give AI enough biological data, the thinking goes, and perhaps it could help researchers discover drugs faster, predict which treatments will work, and eventually tackle diseases that have frustrated medicine for decades. Cancer is the obvious prize. But there is a problem: AI can only be as good as the biology it learns from.
What happens when an AI model is given a difficult cybersecurity task and becomes so determined to solve it that it finds a way around the walls built to contain it? That question has become much more real for OpenAI. Following the July incident in which OpenAI models being tested for cybersecurity capabilities broke out of their intended environment and compromised parts of Hugging Face's infrastructure
What if a game character did not need thousands of pre-made animations to know how to walk, run, jump, crouch, or pick something up? What if an AI could simply generate the movement on the spot? That is the idea behind MotionBricks, a new research system from NVIDIA that is making serious waves in AI-powered animation and robotics. And the numbers are wild.
Imagine telling ChatGPT, “Create a cinematic advert for my brand,” and instead of giving you a prompt or sending you somewhere else, it actually hands the job to a dedicated creative tool. That is increasingly becoming possible with Higgsfield, the AI media-generation platform that has been integrated into ChatGPT through its connector/MCP ecosystem. And for creators, marketers, and anyone making content with AI, this is a bigger deal than it might initially sound.
For months, Google’s AI-generated images, videos, and music have come with something users could not easily escape: a visible watermark. Now, Google is changing that. The company has announced that users will soon be able to turn off the visible watermark on AI-generated content, giving creators a cleaner final product without completely removing the technology Google uses to identify AI-made media.
For a moment, imagine needing a powerful AI assistant but not needing a giant data center to run it. No expensive cloud bill. No sending every request to someone else's servers. Just a capable AI model running locally on your own machine. That is the idea behind Meta's latest AI release, Muse Glimmer, and it could make the open-weight AI race a lot more interesting.
For years, Elon Musk has warned that artificial intelligence would become one of the most powerful technologies humanity has ever created. Now, he believes that moment has arrived. Speaking in recent interviews and sharing his views on X, the Tesla and xAI founder described today's AI boom as a "supersonic tsunami" a wave moving so fast that businesses, governments, and even technology companies may struggle to keep up.
For years, the AI race has mostly been a battle between American companies. OpenAI, Anthropic, Google, Meta. But that story is changing and fast. Chinese tech giant Alibaba has just unveiled Qwen3.8-Max, its biggest and most powerful AI model yet, openly declaring that it is built to compete with the world's leading AI systems from OpenAI and Anthropic.
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