Latest breakthroughs in large language models and generative AI shaping the future of artificial intelligence and machine learning.
It looks like OpenAI is about to roll back a big safety lock it put on ChatGPT. After a few weeks of keeping its newest models - think GPT-5 - on a tight leash, the company is now talking about bringing back more human-like chat, even letting users...
OpenAI is putting together a formal advisory board to wrestle with one of the biggest questions around AI: how these new tools might be shaping our mental health and everyday routines.
On Tuesday Walmart said it’s teaming up with OpenAI to let shoppers order stuff straight from a ChatGPT chat.
When ChatGPT first rolled out, it was billed as a neutral helper for facts and ideas. Yet, many users soon felt the bot leaned one way or another, seeming to back certain political angles more than others.
Imagine your TV’s idle screen turning into a little gallery of your own photos. DirecTV is tinkering with a feature that would let you upload pictures, then let an AI mash them together into a moving backdrop that could show you, your kids, maybe...
Finding earbuds that actually sound good for under $150 has always felt like hunting for a unicorn. Then Google dropped the Pixel Buds 2a at $149, and the math finally looks a bit kinder.
When I first tried to plug a large language model into a Python script, I ended up fighting with tangled dependencies, hunting for GPU memory, and even wrestling with a half-finished local server.
When I tried to pull a key insight from a ten-minute lecture, NotebookLM actually made it feel doable. The AI-powered research assistant, already known for parsing uploaded documents, has just rolled out a bigger Video Overviews upgrade.
Ever typed something into Google Translate or asked ChatGPT a question? Chances are you were already touching a transformer model. Those architectures now sit at the core of most AI tools, yet they still feel like a mystery box.
These days the headlines are full of stories about AI models that keep getting bigger, think parameters in the trillions. In the back rooms of research labs, though, something quieter is taking shape.
When I first read the Samsung SAIL Montreal team's paper, I was surprised to see them go against the usual playbook.
Last Tuesday, my inbox was flooded with AI headlines that felt both thrilling and draining. It’s starting to look like we’re either on the brink of a real tech shift or stuck in the height of a massive bubble, hard to say which.
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