All The Books I Read In 2023
Some notes and quotes from the books I have read this year:
Arbitrary Lines Zoning is a relatively recent invention (~1920) and its purpose was to “prop up incumbent property values, slow the growth of cities, segregate the United States based on race and class, and enforce an urban ideal of detached single-family housing.” Three ways zoning increases housing costs: Blocking housing altogether, either by blocking new housing, prohibiting affordable housing or restraining density By forcing housing that is built to be higher quality than residents might want through minimum lot sizes, minimum floor area requirements and minimum parking requirements By adding extra layers of review to the permitting process that take time and money.
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What I Read or Listened to This Week
What I Read or Listened to This Week
What I Read or Listened to This Week
What I Read or Listened to This Week
Walk in Homer Watson Park and the Grand River Trail
Some photos from a walk along the Grand River in Homer Watson Park, across the river and along the Grand River Trail on the other side.
What I Read or Listened to This Week
What I Read or Listened to This Week
What I Read or Listened to This Week
What I Read or Listened to This Week
What I Read or Listened to This Week
What I Read or Listened to This Week
What I Read or Listened to This Week
The Future of pbpstats.com
When I first started working on an NBA stats website it was for two primary reasons: to be able to easily look up stats I wanted to look up that were not easy to find elsewhere and to improve my own software development skills. I built a website with one user in mind - myself. Over the last year I have stopped following basketball as seriously as I used to, so the amount of time I’m willing to spend building and maintaining the site has dropped significantly.
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What I Read or Listened to This Week
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AI Data Laundering: How Academic and Nonprofit Researchers Shield Tech Companies from Accountability
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The Real Threat From A.I. Isn’t Superintelligence. It’s Gullibility. - “The reality is that no A.I. could ever harm us unless we explicitly provide it the opportunity to do so—yet we seem hellbent on putting unqualified A.I.s in powerful decision-making positions where they could do exactly that.”