And yeah that's cheating a little bit because absolutely any landscape looks better in sakura season but in the dog days of summer that's still a relatively cool path to take a walk on due to partial shading and the water. (Bring bug spray.)
These also act as a somewhat natural traffic regulator; the two streets adjacent to the canal are less attractive to car traffic than e.g. one street out, due to the constrained-by-bridges turn opportunities, so they're generally walkable *without being closed to traffic.*
Free lunches in urbanism, etc etc.
There is sometimes a question about why Japan is "just so nice" and while there are extremely complicated answers to it, a necessary part of it is simply Will To Have Nice Things.
"We're building a university on the hill."
"Awesome that will help a lot with public traversability at the outer edge of campus. Adding shade?"
"Naturally."
"How about a water feature?"
"Not in the budget."
"It's in somebody's. Ask the neighborhood; some company good for it."
Darn it that isn't on Google yet. I suppose I know where I'm going for lunch now. Give me 90 minutes, Internets, I'll get you a photo.
(Continuing an imagined conversation)
"So we're building a college on the hill and were wondering if you could chip in for a water feature at the edge."
"By the police box?"
"No by the old bamboo grove."
"It gonna be passable now?"
"Yes we're putting in steps."
"Of course!"
The company named on the plaque is some distance from the hill, but they're In The Neighborhood (TM), and when you've been in the neighborhood for a hundred years of course it is proper for you to feel a certain sense of responsibility as far as the old bamboo grove.
A quick walk up the path next to Tokyo College of Music.
Funding for the water feature from Dai-Ichi Life Insurance, which I am doing my level best to repay by not dying while my term life is in force.
They’re a very large company and have some property (not HQ, AFAIK) in the neighborhood.
And in front of the cafe there is a fairly frequent feature of Tokyo developments which is sometimes mandatory: public open space on private property, generally improved with greenery and benches. Functions similar to a park; also eases movement to adjacent parcels via foot.
Anyhow, back to lunch and then the software salt mines. Apologies for the brief foray into urbanism influencer.
Once we’re in more settled times you should come visit Tokyo. It’s the best city on earth.
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Considering writing about non-coding LLM workflows a bit in December partially for personal interest and partially so people can see concrete examples of progress / usage.
The one easiest for me to talk about is just a geeky hobby: here's a plastic model and then here is ChatGPT producing a painting reference of ~that model, after a discussion on characterization, color scheme, etc.
I honestly love using it in my art projects. Hallucination rate is acceptable given ~wide acceptance criteria in art; like Bob Ross used to say, there are only happy accidents if e.g. its suggested recipe for mixing a teal paint does not actually result in teal immediately.
If I clipped every good Byrne Hobart or Matt Levine line I’d never get around to writing my own stuff but this from Byrne is too good to not share:
An extraordinary fact about finance is that there are some firms which are financial service providers specifically for scams which sometimes, almost as an industrial accident, bafflingly end up in a contractual relationship with a legitimate, successful company.
These underwriters are not necessarily that; some overlevered highly “structured” IPOs of midmarket software businesses should have a non-zero price, and a capitalist should not say they are a scam just because he is not a buyer at that price.
How much could would you write if you could one-shot 10-100 line shell scripts or similar almost all of the time, in 10 seconds? You would write a stupid amount of code. Who cares if it is disposable? Dispose of it; it's basically free.
Skill issue, code is free to you. Write a test suite too, designed to be thrown away in under a minute. Write three independent implementations and vote on the answer. etc, etc
"Have you actually done this?" Yeah, to a minor degree, and I'll recount a bit more when I do some writeups about my experience with LLM programming. After a few weeks of climbing the skill curve instead of some direct questions I'd say "Goal: *direct question* You should..."
Me to financial firm: *address change form*
Financial firm: Is this five digit number a post code?
Me to financial firm: Oh you have asked exactly the right person for geeking out about post codes. Did you know...
Second thoughts: That was not the efficient way to answer.
"Why didn't they know what a post code looks like?"
Because a post code can look like so many things, like 100-0001, 20500, or SW1A 1AA, to use three codes from three nations that all correspond to a particular famous building/complex within them.
A further fun fact: some nations don't customarily use post codes and others don't customarily use addresses, favoring a natural language description of the recipient which is sufficient to get a mail carrier to successfully route to them.
Still working on a few essays about what I learned on using LLMs for coding but if you want a sneak peak, Complex Systems this week discusses the game I made in some detail.
I’m probably adding one essay to the series on LLMs for taxes.
It feels a bit weird to need to continue saying this, but yes, LLMs are obviously capable of doing material work in production, including in domains where answers are right or wrong, including where there is a penalty for being wrong. Of course they are.
“Why?”
Because a lot of discourse weights people and actors heavily where they cannot be right or wrong in any way that matters, and where correctness does not materially result in a different incentive for them.
So October 15th, the extended US tax deadline, is just around the corner, and I have some observations which are more about LLM progress than taxes.
Background: many people professionally involved with LLMs estimate 2026-2028 as the year where one can get an LLM to "do taxes."
I have a fairly complicated situation and have put more of my points into tax procedure than many AI researchers, and I did not previously expect to actually have this capability available in 2028.
On basis of experience with review, but not full execution, rethinking that.
I think the most likely form factor for actually deploying this in the real world is a software company which integrates LLMs as a component but also has a lot of special sauce.
Be that as it may, what I actually had available yesterday was the standard chat interface.