Learning often involves modeling others' behaviors, beliefs, and ways of thinking. We unconsciously create mental models of people we admire or learn from.
Our brains and AI models share similarities in how they learn and adapt, going through training phases to recognize patterns and predict outcomes.
Exploring and understanding our inner sub-personalities through techniques like Internal Family Systems can help us manage relationships with these models for personal growth.
The author writes about various topics like history, philosophy, politics, and tech, sharing thoughts that are on their mind.
They are primarily writing for their own benefit, even if nobody reads it, but open to connecting with like-minded individuals who vibe with their ideas.
The newsletter serves as a platform for the author to share ideas separate from their area of expertise, a space to explore and discuss different topics openly.
Being an AI skeptic involves questioning the significance of current machine learning research compared to its hype.
Critiques of contemporary machine learning models often involve concerns about their lack of explicit processing, grounding of symbols, and theoretical basis.
The challenge presented is to define a task that current large language models cannot perform, with specific criteria to avoid loopholes or biased assessments.
Thoughts can be viewed as a form of energy, following the First Law of Thermodynamics. Your thoughts have sources like your experiences and food, and lead to actions and behaviors.
The Second Law of Thermodynamics applies to the mind, suggesting that without active engagement in learning, relationships, or creativity, our minds decay into chaos. Fostering a sense of meaning and purpose helps combat this decay.
One must identify their 'why' in the battle against entropy. Building systems, relationships, and investing in values can help endure beyond one's lifetime, much like how businesses or legacies can persist through deliberate design.
Our minds are influenced by the structure, content, and presentation of information, such as the language we speak, read, and write.
Jobs won't be fully replaced by code and AI but rather evolve with these technological advancements, where humans will use computational tools to enhance their work.
As programming becomes more common, our written and spoken language may change, simplifying sentences and potentially leading to a future where thinking in code affects how we write in prose.