As Hollywood jobs dry up, workers are quietly training AI models to survive

As Hollywood jobs grow scarce, writers, editors, and executives are quietly taking AI training gigs just to make ends meet, ...

Hollywood Workers Are Training AI Models As Job Prospects Grow Slim

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

Rapidata.ai is Has Eliminated the Biggest Bottleneck in AI Development – Human Feedback

The company has raised $8.5 million in a new Series Seed round to expand its unique, high-quality human feedback platform, enabling faster model iteration and deployment at a fraction of the cost ...
Forbes

AI World Models: What Are They And Why Should You Care

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. A photo taken on January 2, 2025 shows the letters AI for Artificial Intelligence on a ...
Frontiers

Next-gen neuro-AI: Aligning foundation models and biologically plausible architectures with human cognition

Cognitive computational neuroscience has entered a transformative era. The rapid rise of large multimodal foundation models, state-space architectures, and ...
Wired

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
The Manila Times

AI integration, lifelong learning, and workforce development

THE world of work today is at a historic transformation. Organizations that embrace and leverage artificial intelligence (AI) in a data-driven economy are in a better position to innovate, retain ...
VentureBeat

New AI framework autonomously optimizes training data, architectures and algorithms — outperforming human baselines

AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...