It seems like you’re referring to dotfiles. You can manage these using a git bare repo.

Altman took the money and then OpenAI abandoned the non-profit structure to become a for-profit entity (2 years ago)

You could use something like Kopia and only include the files you want

Companies like Claude with their AI subscriptions might be losing money, but I doubt paid-per-token AI API usage is not making them money. There are several companies like e.g. DeepInfra and Fireworks that have sprung up to sell specifically that. I don’t think simply multiplying API cost with expected usage is sufficient to estimate how much will be charged however, because I suspect that OpenAI and Claude currently have a significant profit margin since they seem to be the defacto duopoly in the US.

The chart above shows that quite clearly, the vertical axis is the combined score on various benchmarks. The horizontal axis shows the price. OpenAI and Claude do score higher, but the price difference is enormous, even if it wasn’t a log scale (70$ vs 1.3k$ for similar results!). The competition of these companies could drastically reduce the margins of US companies,

I therefore think the pricing will depend on whether the large US AI companies manage to lobby the government to enact laws to cripple the competition of Chinese companies under the guise of security.

Man is playing chess on more dimensions than I can think of

But are any of those dimensions ours?

Typescript’s string pattern types are quite neat though

It seems to be Sinytra Connector

Unless you’re using Firebird (3) in which not using transactions kills your performance

Always have done 5

Yes, we basically only use Windows servers at our company (except some people in our team)

I got fired for saying something racist on twitter - Carl’s fault for using that weirdo libre shit.

What

has enabled us to support massive global traffic with a single primary Azure PostgreSQL flexible server instance⁠(opens in a new window) and nearly 50 read replicas spread over multiple regions globally. This is the

I do wonder why they are using Azure PostgreSQL flexible instead of the Azure CosmosDB Postgres offering based on Citus

We should’ve started it a century ago

They kind of did

It will probably be faster in the future under Linux, but I’m no kernel developer

For the people expecting this to be a CPU with a big-little architecture or NVIDA GPU, it was both.

The Lenovo ThinkPad P1 Gen 8 review unit is equipped with an Intel Core Ultra 7 255H “Arrow Lake H” Processor, 64GB of LPDDR5-7467 memory, NVMe storage, and NVIDIA RTX Pro 1000 graphics. The Intel Core Ultra 7 255H consists of 16 cores between six P cores, 8 E cores, and two LPE cores. The Core Ultra 7 255H has a 28 Watt base power rating and 115 Watt maximum power rating.

There used to be performance issues with mixed P and E cores and Linux, but I thought that was solved. Could that still be causing this discrepancy?

Maybe FerretDB will work.

FerretDB allows you to use MongoDB drivers seamlessly with PostgreSQL as the database backend. Use all tools, drivers, UIs, and the same query language and stay open-source.

It shouldn’t be

That’s fucked up

I’ve used it before but couldn’t see the advantage over using JSONB with Postgres except change streams.