Miscellaneous items I found of interest during the week.
Scrambled Maps
Drag the tiles into the correct order to restore the map of a different city of the world each day.
A Structured Daily Routine
I asked ChatGPT for the elements of a daily routine to maintain optimal physical, mental, and overall well-being.
Activity |
Time Estimate |
Notes |
Sleep |
7 to 9 hours |
Crucial for recovery, cognitive function, and emotional balance
|
Exercise/Physical Activity |
30 to 60 minutes |
Mix of cardio, strength, and flexibility exercises
|
Mindfulness/Meditation |
10 to 20 minutes |
Meditation, deep breathing, or gratitude journaling
|
Healthy Meals |
1.5 to 2 hours |
Time for meal preparation and mindful eating
|
Hydration |
Ongoing throughout the day |
Aim for about 8 glasses of water daily
|
Personal Hygiene |
30 to 45 minutes |
Includes showering, grooming, and skincare
|
Housework |
30 to 60 minutes |
Tidying, cleaning, and other household tasks
|
Garden Maintenance |
15 to 30 minutes |
Watering plants, weeding, pruning, and general care
|
Shopping for Essentials |
10 to 20 minutes |
Proportional time for weekly shopping
|
Commute |
1.5 hours |
Travel time to and from work or activities
|
Personal Growth/Learning |
30 to 60 minutes |
Reading, learning new skills, or engaging in hobbies
|
Work/Productivity |
6 to 8 hours |
Focused work periods using productivity techniques like Pomodoro
|
Breaks/Movement |
5 to 10 minutes each hour |
Stretching and movement during work breaks
|
Social Connection |
30 to 60 minutes |
Engaging with family, friends, or colleagues
|
Outdoor Time/Nature |
20 to 30 minutes |
Fresh air and sunlight for stress reduction
|
Reflection/Journaling |
10 to 15 minutes |
Reflect on the day, express gratitude, set intentions
|
Relaxation/Unwinding |
30 to 60 minutes |
Calming activities before bed to promote relaxation
|
What’s missing? Childcare? Other?
NARA Struggles
A perspective from south of the border, with parallels to the situation at LAC.
The AI Bubble
The following is my Ai-assisted summary of an article I Studied 200 Years’ Of Tech Cycles. This Is How They Relate To AI Hype, by Jing Hu posted behind a paywall on Medium
The article discusses the cyclical nature of technology hype and investment bubbles throughout history, drawing parallels between past events and the current AI boom. It examines several historical examples, including the Canal Mania of the early 1800s, the Railway Mania of the 1840s, the electric power competition between AC and DC systems, the automobile industry boom, and the dot-com bubble. These cases demonstrate how initial excitement and investment in new technologies often lead to speculative frenzies, followed by market crashes and industry consolidations.
The text explores the psychological factors driving tech hype, such as FOMO (Fear Of Missing Out), herd mentality, and confirmation bias. It also delves into the financial aspects fueling these crazes, including speculative investing, low interest rates, and network effects. The article highlights key players in tech hype cycles, including entrepreneurs, venture capitalists, media, early adopters, and even governments, each contributing to the amplification of trends and potential overvaluation of new technologies.
Finally, the article draws parallels between historical patterns and the current AI boom, suggesting that while AI has transformative potential, investors and enthusiasts should approach it with caution. It advises readers to expect a shakeout in the AI industry, be wary of inflated promises, think long-term about AI’s impact, and focus on products that provide genuine value and efficiency improvements. The text emphasizes that while AI will likely have a significant impact on the world, its true potential may unfold over decades rather than in the short term.
Thanks to this week’s contributors: Anonymous, Basil Adam, Brenda Turner, Charles Godwin, Christol James, gail benjafield, Glenn Wright, Jane Watt, Paul Jones, Peggy Homans Chapman, Sylvia Smith, Teresa, Unknown.