Aaron Horwath serves as the director of AI operations at a creative technology company, focusing on the integration of AI to benefit both humans and businesses. Observations of commuters reveal a common sense of discontent among tech professionals.

A New Year's resolution to write more blog posts has been made, prompted by the desire to share technical knowledge accumulated over the years. A spreadsheet of potential blog post ideas has been created to facilitate this writing endeavor.

Human skills such as writing, coding, and design are becoming commoditized as machines perform these tasks faster and more efficiently. Ethical judgment is increasingly recognized as the most critical skill in navigating the capabilities of AI, which serves as a powerful amplifier of human actions.

Thinking Machines aims to develop AI that enhances human will and judgment. Effective utilization of AI requires ongoing human decision-making, knowledge acquisition, and feedback to align AI goals with human values.

Reverse centaurs address the AI paradox by focusing on the impact of AI on individuals rather than the capabilities of the machines themselves. The content also includes various links and information about recent and upcoming appearances and publications.

Ford has rehired over 350 veteran engineers after its AI adoption strategy led to significant mistakes. The company acknowledged the need for experienced human oversight to correct issues caused by automated systems.

Midjourney is embarking on a new project focused on exploring the foundations of human experience and envisioning future possibilities. The initiative aims to create stories that reflect deeply human futures and aspirations.

Experts estimate the risk of a catastrophic event caused by artificial intelligence at 10-50%. There is a call for better stewardship of AI to ensure safe coexistence with it.

An increasing volume of debugging, documentation, and code is generated by AI, raising questions about the appropriateness of sharing AI-generated output with team members. While AI can produce valuable results through integration with internal resources, reliance on it may affect the perception of human effort in collaborative environments.

White-collar workers spend an average of 6.4 hours per week "botsitting" AI, which includes providing context, verifying outputs, debugging errors, and correcting mistakes. A report from Glean's Work AI Institute, based on a survey of 6,000 full-time workers in the US, UK, and Australia, highlights this hidden labor associated with AI usage.