Ask HN: What are you reading?
Hacker News users share a diverse list of book recommendations across science fiction, non-fiction, and classics.
summary is enough The value is in the curated list of titles, which can be quickly extracted from a summary.
summary
In response to a request for 'meaty' reading material, users recommend a mix of technical and literary works. Popular suggestions include 'Dungeon Crawler Carl' for pulp sci-fi, 'Seeing Like a State' and 'Thinking In Systems' for systems thinking, and 'Lonesome Dove' for a high-quality western. The discussion also touches on the merits of authors like Vernor Vinge and Neal Stephenson.
key points
- Systems thinking is a recurring theme, with recommendations for 'Thinking In Systems' and 'Seeing Like a State'.
- Sci-fi fans suggest 'A Fire Upon The Deep' and 'The Three-Body Problem' for technical depth.
- 'Lonesome Dove' is highly praised as a 'horsepunk' western that appeals even to those who dislike the genre.
- Technical non-fiction suggestions include books on neuroscience and analog computing.
who should read it
Anyone looking for book recommendations tailored to a technical or intellectually curious audience.
discussion warm
consensus
The community values books that provide new mental models (systems thinking) or high-quality world-building in fiction.
pushback
Opinions differ on the value of 'The Count of Monte Cristo' and the accessibility of Neal Stephenson's long-form fiction.
I love reading, here's a few meatier books I've read recently:
* Seeing Like a State - great overview of how states (and corporations) lose visibility into reality due to the abstraction levels they operate at
* Normal Accidents - all about how things like nuclear reactors, ships and large systems naturally have accidents
* Managing the Unexpected: Resilient Performance in an Age of Uncertainty - great easy read about how high reliability organizations manage complexity and dangerous, high tempo situations.
Provides a cohesive set of 'meaty' non-fiction recommendations focused on how large systems and organizations fail.
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