Not to mention not resolving local domains (and attempting to search instead) unless they specifically contain the `http://`.

Exactly, partition the table vertically by month. Surprised no one else seems to be mentioning this.

This only works if the data is actually historical. Not everything is "montly".

It's really a shame because anthropic had a lot of opportunity to show good will by open sourcing claude code.

It's a base model. It hasn't been instruction tuned to "solve problems" necessarily. All it can do is attempt to complete text given some starting text.

That's interesting. For what projects would you want the "sheen of natural language" though?

Say I want to auto-bookmark a bunch of tabs and need a summary of each one. Using the title is a mechanical solution, but a nice prompt and a small model can summarize the title and contents into something much more useful.

I’d stick to artificial analysis

That has many of its own problems as well.

Since Haskell is statically compiled, wouldn't it not compile at all?

That's all happening at compile time. I only meant to say that the function's inferred type isn't what you'd expect.

A whole lot of machine learning practitioners use X. Makes it difficult to avoid if you're interested in the news. It's definitely a network effect issue.

You might find this useful: https://news.smol.ai/

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It's a good idea in concept but tons of popular libraries use async which makes it difficult to avoid. Want to do anything with a web server or sending requests, most likely async for popular libraries.

Yeah, the nom asynch nats client got deprecated for instance. It really is a shame, because very few projects will ever scale large enough to need asynch, and apart from things like this, there are costs in portability and supply chain attack surface area when you bring in tokio.