nfcampos

Isn’t this post comparing zero shot Jev to fine tunes of this model for each of the datasets it is tested on? If so seems like fairly impressive results for Jev

That commit happens to be a find replace because i usually write for my company’s blog (we)

No, they really are my thoughts, I've been doing this stuff pretty much every day for the past 6 months

I think the same will be true of the ‘popular science’ category of nonfiction

For what it’s worth, I personally discovered something similar with another category of nonfiction books - economics and business. I read a lot of these circa 10-15 years ago and the rate of new signal id get from each new one eventually became low enough that I stopped reading in that category altogether.

He does mention audiobooks, see quoted below

> But what about ebooks and audio? Looking at all formats (print + ebook + audio) for the catalog in 2025, the second half of the year was down ~45% versus the first half.

This compares to 46% on print only

The title of the submission is an almost comical example of hn navel-gazing - of the many interesting things in the article surely the job prospects of hn readers should not be near the top of the list

Anthropic marketing (and even supposedly technical write ups) sadly has become more hyperbole and less substance over time imo. This technology is so impressive on its own, really feels like shootings themselves in the foot in the long run, but what do I know

Case in point here where they conveniently fail to report the false positive rate, while also saying that if it wasn’t for Address Sanitizer discarding all the false positives this system would have been next to useless

LangGraph implements a variant of the Pregel/BSP algorithm for orchestrating workflows with cycles (ie. not DAGs) and parallelism without data races. You can design your graph as a state machine if you so desire