Recent submissions

Comment · 5 months ago
Thank you for sharing this. Do you think the syntactical issues could be addressed with fine tuning or some other kind of parameter tweaking? That's frustrating hah.
Comment · 5 months ago
Comment · 5 months ago
brilliant. thank you for that.
Comment · 5 months ago
stars on github? I've wondered the same thing.
Comment · 7 months ago
This is interesting work, thank you for sharing. What hardware would you buy today for experimenting? Seems like the new gen of macbook pros are pretty powerful?
Comment · 8 months ago
I love project ideas like this. Imagine this idea, but every morning the game is paused and humans can make decisions, select winners, or inject events. Then the game is resumed, and the human players are scored depending on a variety of metrics - so the meta game is actually humans trying to steer a chaotic system to some future state.
Comment · 8 months ago
Cool, thank you. I love projects like this. Great work and thank you for sharing!

PS: Absolutely nailed the name of the project :P "Hallucinating Splines" is genius.

Comment · 8 months ago
OK i'm kind of geeking out on this one. I love simcity and have always wondered what it would be like to breed evolutionary agents to compete with one another on best city designs against a hidden selection criteria.

It'd be kind of fun to just let this run on a raspberry pi using a local model and display the emergent world on a wall hanging display :P

Thanks for sharing.

Update: What would it take to run this locally / offline? I'm not quite sure how the cloud flare layer works. Is it just for cheap/free object storage so the cities can live somewhere?

Comment · 8 months ago
My quick story: I built up an old 90s cyclocross bike and his website was the main reason I have this beast of a frankenbike gravel bike. I found his article "8 of 9 on 7" and it changed my life: Take a 9 gear cog, remove one, and it fits perfectly on a 7-speed cassette body.

Then I found his other article on an alternate wiring for a shimano mountain bike RD-310 7/8 speed drive train (which unlocks 9-speed ability), which thus let me use the rugged 7/8-speed derailleur for the cassette WITH shimano dura-ace indexed bar-end shifters (which use, get this, 9-speed spacing on an 8-speed index because it made their system "proprietary"). All of this works together flawlessly <3 <3 RIP sheldon brown.

Comment · 9 months ago
No, because the predators themselves aren't native.
Comment · 9 months ago
That's a great reason. I didn't pick up on usage of AI, it reads naturally.
Comment · 9 months ago
I flew from central US to western asia (via moscow) and it was an interesting experience for the reasons you mentioned. I think I left early Saturday morning local time and arrived Sunday evening local time. I saw a sunrise, sunset, sunrise, sunset in 18 hours of travel time.
Comment · 10 months ago
We all admire your absolute mastery of your own habitual reflexes and mind. For the rest of us, there is a daily battle of wits, desires, weakness, and habit.

If I could snap my fingers and break toxic habits and patterns, I would have done so decades ago :)

Comment · 10 months ago
I like your perspective. What do you think "2026: the reconciliation looks like?

Also I need to track down that Star Trek TNG episode... it sounds poignant.

Comment · 10 months ago
In my experience the LLMs work better with frameworks that have more rigid guidance. Something like Tailwind has a body of examples that work together, language to reason about the behavior needed, higher levels of abstraction (potentially), etc. This seems to be helpful.

The LLMs can certainly use raw CSS and it works well, the challenge is when you need consistent framing across many pages with mounting special cases, and the LLMs may make extrapolate small inconsistencies further. If you stick within a rigid framework, the inconsistencies should be less across a larger project (in theory, at least).

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