whoopdeepoo

Well isn't that what benchmarks are for? They compare total cost for a unit of work.

You can use deepseek with Claude code

Both of these valuations are absolutely absurd. I guess Anthropic looks good in comparison, but I don't want to hold that bag.

The Chinese models are catching up in quality while being a fraction of the price. The market will speak, how many devices that contributed to this thread were made in the USA?

Sure you can argue the Chinese companies are heavily subsidized, but no major LLM lab is remotely close to making a profit this decade.

We use it to sort parquets out of core and then the arrow interface to read into Python and export as geoparquets

Yes, it's still very alpha

Such an amazing project. Once the geospatial extension lands I'm going to seriously consider switching our geoparquet workflows over.

Electric pickup trucks are an insanely priced novelty until they figure out towing performance.

Cool, but you really need a grammar check. Pass this through chatgpt or something.

Buy a Mazda

The answer is foreign students if it's anything like my university town.

I don't write any colored function code in python, I'd much rather work with process/thread pools

> But who reads all the docs

Why is this so common? Do people seriously not read a language/library documentation? That's the absolute first thing I do when evaluating a technology.

Already way too many tabs in the example. I could see this getting completely unreadable very quick.

Subject matter expert