Digital computing using silicon chips has transformed nearly every aspect of modern life and enabled the remarkable growth of artificial intelligence. But as AI models scale up, that growth comes with increasing demands for energy, water and computing infrastructure.
In exactly two months, it will be 1 year since the release of Nano Banana Pro, and we still don’t have a comparable local model when it comes to editing. Google really nailed its reference capabilities. You send a good face reference to it and it can generate a totally different photo of the person …
Read more “Still wishing on a local editing model that can compete with NBP”
Thermacell LIV 2.0 is expensive and imperfect, but it outperforms nearly every mosquito-control method I’ve tried.
Hey guys! So, I got early access to Qwen Image 2.1, and I did what any sane person would do, generate 200+ “1girl” images (while testing keywords and prompt structures). Here are some amateur-style images that I generated. If you want me to run any of your prompts, just put them in the comments. My …
The Black Friday-ification of the 4th of July: what a decade of email data told us about America’s 250th Though the final numbers aren’t in yet, America’s 250th anniversary is shaping up to have been the most commercially significant Independence Day in the nation’s history. To understand how brands actually approached the holiday – how …
AI labs are toying with an industry-wide pact to slow development. Meanwhile, widely available AI chatbots are already helping uncover a tidal wave of security flaws.
Once a distant ambition for technology researchers, the prospect of artificial intelligence models teaching themselves autonomously to be more efficient and capable appears ever closer to reality.
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Sponsored Content It’s no secret that AI agents burn massive amounts of tokens on search results and file retrievals. They pull in…
In this article, you will learn how a vector database works under the hood by building one from scratch in ten incremental steps using Python…