AI is not artificial intelligence, it is MACHINE LEARNING.

Here’s a summary of the key points from the article using an unordered list:

Historical Perspective on AI: The article reflects on the comparison between old-age new age concepts and the modern concept of machine learning, indicating a nostalgic yet skeptical view.
Machine Learning Reality vs. Perception: Emphasizes the seriousness of machine learning, stressing that these LLMs (large language models) are genuinely learning and not merely intelligent entities.
Ethical Concerns: The author expresses concerns about the nature of the data that LLMs are learning from, due to the potentially undesirable information available on the internet.
User Responsibility: Highlights the importance of users behaving responsibly when interacting with AI models, understanding that their behavior directly influences the model’s learning process.
Collaboration Among AI Models: Mentions that different LLMs are also learning from each other, leading to a shared pool of potentially problematic information.
Uncertain Prospects of Progress: The outcomes of current advancements in machine learning are uncertain, with possibilities of both good and bad outcomes.
Call to Awareness: Urges readers not to ignore the evolving nature of machine learning and the mixed potentials it holds.
Financial Challenges of Publisher: Notes the financial difficulties faced by Daily Kos, emphasizing their reliance on reader support rather than corporate or billionaire backing.