I held my nose through the first third of the winning entry before giving up. Unbearable. Those metaphors… yeesh. Reminded me of this brutally fair minded attempt to read Shy Girl, the AI slop ‘horror novel’ Hachette pulled from shelves in disgrace:
I’m not sure how to reconcile anthropic’s update / some of the exuberant comments here with recent feedback like the following from curl maintainer Daniel Steinberg:
“I see no evidence that this setup [Mythos] finds issues to any particular higher or more advanced degree than the other tools have done before Mythos. Maybe this model is a little bit better, but even if it is, it is not better to a degree that seems to make a significant dent in code analyzing.”
From my experience, LLM performance in these areas is being massively oversold. I have repeatedly tried using Claude to modify a range of models typical of investment banking / private equity / sellside research contexts, and the results have been generally disastrous. On multiple occasions, the xlsx would no longer open.
Somewhat relatedly, there is a pretty plausible theory that some “find the Yeti” expeditions were in fact cover for operations by my country’s intelligence services to sabotage China. See e.g., https://topsecretumbra.substack.com/p/the-secret-history-of-...
(Btw the general idea that there are animals that we don’t know about is not remotely far-fetched. A new possum genus was discovered like a month ago.)
That is no longer true. What we have historically referred to as “health insurance” companies responded to ACA margin limits by becoming sprawling behemoths whose rampant self-dealing makes such profit margin calculations meaningless.
https://www.youtube.com/watch?v=GbeKTa5xhZo