Consumption Exhaust

I read “LAN Party” last week: LAN Party: Inside the Multiplayer Revolution, GoodReads.

I finished Tim Berners-Lee’s autobiography yesterday: This Is for Everyone: The Unfinished Story of the World Wide Web The description early years was good.

I’m watching the TV show “For All Man Kind”.

I’ve been doing research into the release chronology of some Quake2 bots.

I’m re-reading “Lies My Doctor Told Me”.

I just read two books on celebrities whose lives were ruined by addiction: Friends, Lovers, and the Big Terrible Thing, Matthew Perry.

I fatten quickly when eating carbohydrates.

Yesterday, I was listening to the Modern Wisdom podcast interview with Eliezer Yudkowsky about his new book (which I’ve read).

I was travelling for some time recently.

I read “I’m Too Young To Die” by Bitmap Books last week.

I read “Wisdom Takes Work” this week.

Back from long holidays and I’ve put on 5kg/10lbs like it was nothing.

I just just looking over my “Machine Learning Mischief” project from December last year: Machine Learning Mischief Good stuff.

I run 5km 2-3 times per week as part of my cardio day at the gym.

Every movement has a counter or opposite movement.

I have been thinking about what the push-back to vibe coding will look like.

I read Jay Yang’s “You Can Just Do Things”.

Thinking more about “Useful Not True”.

Yesterday I read Derek Sivers’ “Useful No True”.

I read Florian Ernotte’s “Writing with LLM is not a shame.

I have been thinking a lot about Gian Segato’s post, see Probabilistic Era.

I just read Gian Segato’s “Building AI Products In The Probabilistic Era”.

It would be nice to have a tiny store online that could just sit there for decades.

I was listening to an Acquired episode and the guest mentioned the role of computers (people) being replaced by electronic computers, and how programming/coding will/is seeing the same fate.

Among Ronald Fisher’s many contributions to statistics, genetics, and evolutionary theory at large was his “fundamental theorem of natural selection”: “The rate of increase in fitness of any organism at any time is equal to its genetic variance in fitness…

Machine Learning Street Talk is a YouTube channel and podcast by Tim Scarfe and sometimes Keith Duggar.

I’ve created a new Quake archive, this time for the Navy Seals modification by Minh Le aka “Gooseman”.

I listened to part 1 of the Acquired Podcast on the history of Google.

After a long holiday where you eat like a pig and exercise not at all, how do you get back on the path?

I created an archive of all official releases for Quake II (Quake2): Quake II Official Archive It complements my Quake Official Archive and Quake III Arena Official Archive.

I found and acquired a copy of the monograph: Public Knowledge, Private Ignorance, Patrick Wilson, 1977.

I read Samuel Arbesman’s “The Half-life of Facts” yesterday.

I have been thinking of coding up some more elaborate prompt scaffolding for writing projects.

I re-read Mark Manson’s “Subtle Art” yesterday.

I just finished “He’s Not Lazy” by Adam Price.

I’ve been working on trying to acquire hardware for the “Old Desktop PCs for Learning” project for my eldest.

My eldest is getting interested in PCs and building his own desktop system.

With two sons, three males in the house, exercise is a big deal.

I built a simple custom GPT for Python code review.

My kids often come home (from school) talking about how the environment is ruined or all of the bad things “we” did in “our” past, as Australians.

Regarding Code Simple Algorithms and Data Structures: Which algorithms and data structures did we have to understand + code up back in introduction to compsci?

Vibe coding is amazingly productive, at least for experiments and prototypes.

If you’re feeling bored or lost or directionless: serve.

I was listening to a podcast with Rick Rubin on his vibe coding book and he said some good stuff.

A while back I showed how we can get a genetic algorithm in Python to run as fast then faster than a naive implementation in C.

I was thinking about DeepMinds AlphaEvolve from last month.

Back in grad school days, it was fun to pick NP-Complete optimization problems and have little competitions to see who could get the best solution (lowest cost) in a given time frame.

Sometimes I don’t feel like working hard.

I’ve been writing novellas for my kids for the last few months.

I saw this on HN this morning: Show HN: I wrote a modern Command Line Handbook It’s currently number 3 with 63 comments and 245 upvotes.