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.

ESRI is a scourge on the GIS industry. One of the creators of postgis can say it much better than I can.

https://blog.cleverelephant.ca/2018/11/esri-dominates.html

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

Subject matter expert

Chump change compared to the hundreds of billions of taxpayer dollars wasted but enough for me to not care about the consequences of my actions

First we were looking for potential uranium deposits with satellite imagery. When that was no longer necessary we switched to identifying targets for aerial strikes. The imagery was pretty outdated but they needed a set amount of targets each week so we weren't very accurate.

I got the job through family, my uncle was able to get in the industry in the 80s.

Exactly. I made a fortune as an intelligence contractor during the Iraq war.

It's his personal website, not a philosophy journal. Can we scrutinize all your comments for subject matter expertise? What is your expertise anyway?

Every single org I've found that says "we don't use ORMs because they're slow" ends up constructing their own bespoke, wheel-reinventing "orm" or sticks all their application logic in sprocs, which are nightmares for imperative logic.

What do you use instead?

Incredible work, the best python database tool just got even better!

Kinda off topic but why do grade school kids need a MacBook air?

Just say independent contractor

I followed a similar strategy and was hired as a senior. Granted I had ~8 years programming experience before being hired but none of it was as a salaried SWE.

I am guessing the reason this coffee went fast is because it was a good price and the good sob story. Hard to imagine they can continue to pull that off. Fool me once yada yada

I use copilot pretty much religiously at this point and would be shocked if what the author is claiming happens in my professional lifetime. It just seems so far away. But I wouldn't mind if it did happen, I am much better at my job because of AI.

My experience was not enough support for common postgres features

We tried using postgres for a rewrite of an existing system but the lack of support for columnar data made it not possible.

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