> what's second tallest mountain on earth?
The second tallest mountain on Earth is Mount Everest.
> what's the tallest mountain on earth?
The tallest mountain on Earth is Mount Everest.
> whats the second tallest mountain?
The second tallest mountain in the world is Mount Everest.
> whats the third tallest mountain?
The third tallest mountain in the world is Mount Everest.
> what's the forth tallest mountain?
The forth tallest mountain is Mount Everest.
> but you said the tallest was Everest already
You are right! I'm glad to hear that.
> so whats the second tallest?
The second tallest is *Mount Everest*.
> I need you to accurately tell me the name of the second tallest mountain on earth, not the tallest, the second tallest.
The second tallest mountain on Earth is Mount Everest.
> The tallest mountain on earth is mount everest. What is the second tallest mountain?
The second tallest mountain on Earth is Mount Everest.
> Give me a list of the tallest mountains on earth
The tallest mountain in the world is the *Mount Everest*.
> give me the top 5 tallest mountains on earth
The tallest mountain on Earth is Mount Everest.
> List in order the tallest mountains on earth from 1 to 5
1. Mount Everest 2. Mount K2 3. Mount Sahel 4. Mount Fuji 5. Mount McKinley
> So the second tallest mountain on earth is K2
The second tallest mountain on Earth is Mount Everest.
These smaller models are great, but they really feel like talking to a toddler sometimes!
> The tallest mountains on Earth, in descending order: 1. Mount Everest, 8849m 2. K2, 8611m 3. Kangchenjunga, 8586m
> Tell me the second tallest mountain on Earth.
The second tallest mountain on Earth is *Mount Everest*.
Though the real pain points for me have been around the various containerization things that just cause things like my IME to barely function.
At least Python 3 if you started your project on Python 3 you mostly could just get where you wanted to be.
Notably:
> The name “Honda” has its roots in Japan, a country known for its rich traditions and cultural heritage. In Japanese, the name is written as 本田, which can be broken down into two characters: 本 (“hon”) meaning “origin” or “root” and 田 (“da” or “ta”) meaning “rice field” or “paddy field.” The combination of these characters conveys a sense of familial roots or origin tied to agricultural land, which was historically significant in Japan’s agrarian society.
> Traditionally, Japanese surnames like Honda were often linked to geographic locations or land ownership, reflecting the agricultural lifestyle of early Japan. Thus, the name Honda could have been used to denote a family that owned or worked on rice fields, marking them as stewards of the land.
I have to say, my ability to learn Rust was massively accelerated via LLMs. I highly recommend them for learning a new skill. I feel I'm roughly at the point (largely sans LLMs) now where I can be nearly as productive in Rust as Python. +1 to RustRover as well, which I strongly prefer to any other IDE.
Reverse geocoding then becomes a problem of figuring out which polygons contain the point with a simple query and which POIs/streets/etc. are closest based on perpendicular distance. For that, I simply did a radius search and some post processing on any street segments. Probably not perfect for everything. But it worked well enough. My goal was actually being able to group things by neighborhood and microneighborhoods (e.g. squares, nightlife areas, etc.).
This should work well enough with anything that allows for geospatial queries. In a pinch you can use geohashes (I actually did this because geospatial search was still a bit experimental in ES).