AI Tools & Apps News - Page 38 of 71

Most models see a person as a shape. Meta's new Sapiens2 tries to see them as matter.

In an Indian call center, a single agent might field pleas in Tamil, requests in Bengali, and questions in Hindi—all before lunch.

Google's latest AI model doesn't just edge ahead—it vaults. On the ARC-AGI-2 benchmark, a test of novel abstract thought, Gemini 3.1 Pro scored...

Google announced one hundred new voice commands for its Gemini home assistant. It is an attempt to make it useful.

OpenAI is buying a microscope. The strategic kind. Its agreement to acquire startup Neptune, a builder of AI training analysis tools, is a direct...

Anthropic fired a public shot this week. It accused Chinese AI firms of stealing its models and stripping out the safety guardrails.

Most AI agents live in the terminal, a place of cryptic commands and invisible thought. Nous Research just gave theirs a face.

The world of AI image generation is rapidly evolving, offering users unusual control over their creative outputs.

The numbers are deceptively tight. Three independent leaderboards, Open LLM v2, a twelve-benchmark suite, LiveBench, all converge on a narrow band of...

Google has spent the last two years throwing experimental AI features at every wall. Now they're trying to build a house.

AI agents are rewriting the rules of digital interaction. They book your travel, draft your emails, and manage your workflows, yet the identity...

Volcanic ash is a logistics problem. It drifts for hundreds of miles, grounding aircraft, poisoning fields, and filling lungs.

Google's Gradient Canvas hits its ten-year mark. That's a decade. The real story isn't the art on the walls.

The silence of extinction is genetic as much as it is numerical. When a species dwindles, it doesn’t just lose bodies; it loses sequences,...

Demis Hassabis is bored of your chatty AI. The DeepMind CEO’s attention is elsewhere, moving past the current boom in generative tools toward...

Coding agents like Claude Code hold immense potential, but most developers leave that potential on the table.

We keep talking about AI as software. A model, a chatbot, an assistant. We should talk about it as hardware.

AI coding tools have been mostly talk. They can suggest a function, maybe explain some logic, but they've always hit a wall.

Behind the curtain, no one sees the puppeteer. That is the problem. When an invisible orchestrator silently steers a group of LLM agents,...

Two guys opened a coffee shop and told their baristas to use ChatGPT. This is not a tech parable. It's an operations manual.