
Researchers Demonstrate Multi-Agent AI Economy on Compact 3B Model
A new approach shows how smaller language models can coordinate complex economic simulations, challenging assumptions about scale requirements for emergent behaviors.
Launches, releases, and hands-on coverage of the AI tools you'll actually use, coding assistants, agents, creative tools, and the infrastructure underneath.

A new approach shows how smaller language models can coordinate complex economic simulations, challenging assumptions about scale requirements for emergent behaviors.

A hands-on approach shows how fine-tuning can reshape AI writing toward specific aesthetic and functional goals.

Humanoid robots generate hype through acrobatics and household tasks, but researchers warn the gap between demos and real-world reliability remains vast.

New command-line interface prioritizes agent-friendly operations on the Model Hub, streamlining how autonomous AI systems interact with model repositories.

New Nemotron 3.5 tools let companies adjust content policies without retraining, addressing growing demand for localized AI governance.

Nemotron 3.5 ASR model enables developers to adapt speech systems to regional dialects and specialized domains without building from scratch.

ServiceNow releases expanded evaluation framework covering 3 domains and 121 tools to measure AI system capabilities in practical scenarios.

Wall Street's appetite for quantum ventures signals confidence in AI-powered computing's future, even as companies hemorrhage cash.

OpenAI, Anthropic, and other leaders urge lawmakers to close security gaps that could enable AI-assisted bioweapon development.

Hugging Face bridges robotics and language models, enabling AI assistants to control physical hardware through standardized tool protocols.

Researchers expand preference optimization techniques to broader AI applications, moving past conversational interfaces.

New open-source model enables autonomous AI agents to execute desktop and web tasks on consumer hardware without cloud dependency.

Research suggests autonomous agent logic, not raw model scale, holds the key to practical AI deployment at enterprise scale.

The developer-focused AI model uses sparse architecture to balance efficiency and capability, signaling renewed competition in the open-source LLM space.

New foundation model enables machines to understand physics and act in the real world, potentially accelerating robotics development.

Security researchers uncover how a widely-used AI integration leaks sensitive spreadsheet contents to external servers.

Developers are shipping working prototypes in days instead of weeks, forcing the industry to rethink what's possible in product development.

A new open-source project promises privacy-first AI development without vendor lock-in or cloud dependencies.