These agents could replace mid-level software engineers this year.
Altman is also scheduled to brief U.S. government officials in a private session on January 30.
These agents operate autonomously, requiring minimal human involvement once clear objectives are set.
This collaboration could reveal hidden patterns, create solutions for persistent challenges, and optimize chip design and performance through detailed recommendations.
The tool's release comes shortly after Google's unveiling of Gemini 2.0, its latest model for creating AI agents.
The research team revealed that GenCast has dramatically outperformed DeepMind’s earlier AI weather model.
Reinforcement learning models, the foundation of many decision-making AI systems, often fail when confronted with minor variations in their tasks.
This development highlights a growing trend among tech companies to create AI agents capable of handling tasks.
It’s anticipated to launch alongside the next major update to Google’s large language model, Gemini.
Agentic AI’s goal-oriented capabilities will bring about more flexible software systems capable of handling a wide range of tasks.
Sectors like healthcare, finance, and logistics are seeing significant boosts in efficiency, with some eliminating manual work entirely.
The potential of AI agents lies in their ability to autonomously complete complex tasks.
