AI News Archive - Browse Page 26 of 160

Money isn’t just trickling into AI—it’s flooding in. While Deepseek, the Chinese lab founded by Liang Wenfeng, lines up a funding round that could...

Remember the days when a data scientist’s pride came from squeezing that extra 0.7 % accuracy out of an XGBoost model after an overnight grid search?

Google’s Chrome now ships a 4 GB Gemini Nano model for on‑device AI, and a handful of users have suddenly seen their browsers ask for extra storage.

Why does this matter? Current critic‑less RLHF pipelines add up multiple reward signals with a simple average.

Most AI security work still treats large language models like a simple chatbot: you type, it replies.

Bash sits at the core of many AI‑driven workflows, letting a model emit grep, curl, tar, or full pipelines that actually touch files, open network...

Everyone’s eyeing the enterprise‑AI pie, and this week the market’s moving fast. Anthropic and OpenAI announced a joint venture aimed squarely at...

Apple frames privacy as a basic human right, and that stance shapes its AI research agenda.

The week the Vergecast aired, the AI world felt more like a backstage drama than a boardroom.

Nanoleaf has been unusually quiet. While Govee and Philips Hue have been rolling out new fixtures and features at a rapid clip, Nanoleaf has added...

The newest Pixar villain, a frog‑shaped tablet called Lilypad, is a reminder that AI is already slipping into kids’ playthings.

OpenAI has rolled out GPT‑5.5‑Cyber, a version of its language model stripped of many safety filters so that vetted security researchers can run...

OpenAI announced Thursday that its API now bundles three new voice‑intelligence models, giving developers the tools to add talking, translating and...

In a federal courtroom on Thursday, lawyers for Elon Musk slipped a trove of internal Microsoft emails into the record of the Musk v. Altman trial.

Large language models keep getting bigger, but the price tag isn’t getting any smaller.

Why does this matter? Because scientific machine learning often stalls when data are scarce and physics constraints are hard‑coded.

ZAYA1-8B is a new mixture‑of‑experts model that puts reasoning at its core. The architecture, Zyphra’s MoE++, hosts 8 billion parameters in total but...

Why does this matter now? For the first time, a single family of models is being positioned to serve every layer of the cyber‑defense ecosystem.

Why does this matter? Inference efficiency has quietly become one of the most consequential bottlenecks in AI deployment.

Model quantization trims VRAM demand and nudges inference speed on consumer‑grade hardware—think NVIDIA GeForce RTX cards.