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Solitude and Community

A comparative analysis of the values and limitations of solitude and community in human flourishing.

status: Notes

Status Indicator

The status indicator reflects the current state of the work: - Abandoned: Work that has been discontinued - Notes: Initial collections of thoughts and references - Draft: Early structured version with a central thesis - In Progress: Well-developed work actively being refined - Finished: Completed work with no planned major changes This helps readers understand the maturity and completeness of the content.

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certainty: likely

Confidence Rating

The confidence tag expresses how well-supported the content is, or how likely its overall ideas are right. This uses a scale from "impossible" to "certain", based on the Kesselman List of Estimative Words: 1. "certain" 2. "highly likely" 3. "likely" 4. "possible" 5. "unlikely" 6. "highly unlikely" 7. "remote" 8. "impossible" Even ideas that seem unlikely may be worth exploring if their potential impact is significant enough.

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importance: 6/10

Importance Rating

The importance rating distinguishes between trivial topics and those which might change your life. Using a scale from 0-10, content is ranked based on its potential impact on: - the reader - the intended audience - the world at large For example, topics about fundamental research or transformative technologies would rank 9-10, while personal reflections or minor experiments might rank 0-1.

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Citation
Yotam, Kris · Apr 2025

Yotam, Kris. (Apr 2025). Solitude and Community. krisyotam.com. https://krisyotam.com/progymnasmata/comparison/solitude-and-community

@article{yotam2025solitude-and-community,
  title   = "Solitude and Community",
  author  = "Yotam, Kris",
  journal = "krisyotam.com",
  year    = "2025",
  month   = "Apr",
  url     = "https://krisyotam.com/progymnasmata/comparison/solitude-and-community"
}
Quote of the moment
You likely have a TinyML system in your pocket right now: every cellphone has a low power DSP chip running a deep learning model for keyword spotting, so you can say "Hey Google" or "Hey Siri" and have it wake up on-demand without draining your battery. It’s an increasingly pervasive technology. [...] It’s astonishing what is possible today: real time computer vision on microcontrollers, on-device speech transcription, denoising and upscaling of digital signals. Generative AI is happening, too, assuming you can find a way to squeeze your models down to size. We are an unsexy field compared to our hype-fueled neighbors, but the entire world is already filling up with this stuff and it’s only the very beginning. Edge AI is being rapidly deployed in a ton of fields: medical sensing, wearables, manufacturing, supply chain, health and safety, wildlife conservation, sports, energy, built environment—we see new applications every day.
Daniel Situnayake (https://news.ycombinator.com/item?id=39016433)
Kris Yotam
Kris Yotam
long-form stable essays
Updated
2026-05-12
Reading time
~1s

in Naperville, IL
Last visitor from Mitaka, Japan