AI News Archive - Browse Page 27 of 160

Elon Musk’s latest court filing puts OpenAI’s safety record under a microscope. Here’s the thing.

If you open Chrome on a Windows or macOS desktop today, a 4 GB Gemini Nano model is probably already sitting on your hard drive.

Elon Musk is betting big on chips. SpaceX filed a public‑hearing notice in Grimes County, Texas, asking for tax breaks to fund a new “Terafab” fab in...

Why does it matter that every chat you start with an LLM begins with a clean slate?

AI isn’t always about flash‑forward features; most people just want tools that smooth out the daily grind.

Moonshot AI, a Beijing‑based lab that launched only last year, just closed a $2 billion funding round that lifts its valuation to $20 billion,...

AlphaEvolve has moved out of the lab and into the backbone of Google’s AI infrastructure.

Why does it matter that wildly different AI systems might be thinking alike? While the tech is impressive, the question cuts to the heart of what we...

AI labs are wrestling with a stubborn problem: models often follow written “Model Specs” but stumble when they encounter scenarios those specs never...

Google DeepMind is taking a minority stake in the studio behind the space MMO EVE Online, turning the game into a live‑lab for its next wave of AI...

Evaluating AI models that read brain signals has been a tangled mess. Researchers juggle different preprocessing pipelines, train on disparate...

Normalizing Flows have been around for a while, but recent work has put them back in the spotlight.

Zyphra AI just dropped ZAYA1-8B, a Mixture‑of‑Experts language model that packs 8.4 billion total parameters but only 760 million active ones per...

Why does this matter? Large language models have shown they can reason about facts and navigate simulated environments, but their knack for...

Why does this matter for security operations centers? Because the paper arXiv:2605.03034v1 proposes a new way to harness large‑language‑model agents...

The arXiv preprint 2605.03101v1, titled *Programmatic Context Augmentation for LLM‑based Symbolic Regression*, tackles a problem that sits at the...

Adaptive optimizers such as AdamW treat every parameter group the same, even though different layers often behave quite differently during training.

Why does tweaking a single line of code in a neural‑architecture design sometimes ripple through an entire model?

In this tutorial we stitch together a Groq‑powered research assistant that runs straight from Groq’s free OpenAI‑compatible inference endpoint.

This week the Trump administration signed voluntary safety‑check agreements with Google DeepMind, Microsoft and xAI, letting the government test...