AI Agents Show Promise for Software Tasks, But Still Prone to Costly Errors
• Cognition AI's "Devin" demo shows an AI agent planning and implementing software projects like testing Llama 2 APIs
• Devin impressed many, but AI agents still make errors, and mistakes can mean total failure
• Auto-GPT and vimGPT show potential for AI agents to take useful actions, but also room for improvement
• DeepMind's SIMA agents learned complex behaviors like chopping trees in games, showing "generalist" potential
• Hassabis predicts combining language models and video game training will produce a "step change" in capable AI agents