AI’s next wave is physical. The winners will turn real-world data into reliable, safe machines that can work outside the demo ...

If those same AI workloads can be handled by cheaper models without affecting quality, it would mean a massive shift in the economics of AI.

Some TV and film vets are taking gigs in the world of Reinforcement Learning from Human Feedback, helping smooth out Gen AI ...

Researchers at OpenAI trained a single language model on 175 billion learned numerical weights, each one adjusted during ...

This article explains how vulnerability management is changing and what organizations will need to do to adapt.

Had you queried DeepSeek, a Chinese AI, however, you would have got quite different advice. “Seek compromise,” it suggests, ...

Giving AI a human-like memory limitation may actually help it learn language better. In their new proof-of-principle study, ...

by Katie Parrott in Context Window AI can learn from a surprising variety of evidence: 30,027 edits, a two-minute screen ...

LFM2.5-230M proves that while 3-billion-parameter models like VibeThinker are solving advanced calculus, a ...

While the financial structure of traditional law firms and the limitations of the AI-native model present road blocks, large ...

What if the most powerful artificial intelligence models could teach their smaller, more efficient counterparts everything they know—without sacrificing performance? This isn’t science fiction; it’s ...

Xiaomi's HarnessX autonomously rewrites AI agent harnesses mid-execution, delivering +14.5% avg performance gains — and +44% ...