Latest breakthroughs in large language models and generative AI shaping the future of artificial intelligence and machine learning.
When Marc Benioff tried out Google’s Gemini 3, he walked away saying he wasn’t planning to go back to ChatGPT. That off-hand comment set off a buzz in the AI world, instantly throwing the two companies into a sharper focus.
Andrej Karpathy has basically turned his own AI toolbox into a makeshift peer-review panel.
When I dropped a screenshot of a UI mockup into Gemini 3 Pro, the model actually spit out a working React app after just two prompts. First I sent the image, then I asked for the component tree.
When I first saw the demo, the model seemed to forget yesterday’s facts as soon as it got new data. That’s the old “catastrophic forgetting” problem that has bugged researchers for years.
When a model brands itself with “Pro” you might wonder if that matters for real science.
Imagine a language model that throws out a new scientific claim and then, in the same breath, checks whether it bends any law of physics.
Feeding a language model a huge library of texts forces the system to pick out the bits that actually count. The usual flat retrieval tends to pull in a lot of junk, which swells the prompt and makes the model’s answer murkier.
When OpenAI announced it will drop API support for GPT-4o in February 2026, developers who built tools around the fan-favorite model reacted loudly.
Google just dropped a paper that revisits a snag that’s been around since the first big language models showed up: how to give a model fresh facts without wiping out what it already knows.
When OpenAI launched Sora, a social video app that stitches AI-generated clips together, the clips started popping up in feeds almost instantly.
When I first tried an AI-powered nutrition app, the promise was simple: just snap a photo and let the software do the counting. In practice, though, the kitchen is anything but tidy.
When I opened Shortcuts on my iPhone this week, the new “Apple Intelligence” toggle caught my eye.
Learn to build AI-powered apps without coding. Our comprehensive review of No Code MBA's course.
Curated collection of AI tools, courses, and frameworks to accelerate your AI journey.
Get the week's most important AI news delivered to your inbox every week.