Drew Got No Clue

B.S. Biology; M.S. in Bioinformatics. ❤️ tech, FOSS, Lana Del Rey, Linux, Fedora, KDE, but also ARM MacBooks & iOS.

Good @ Python, forced to use R, learning Rust.

🎮 Prey (2017), Bioshock, Portal & Dead Space.

Bi, more into guys atm.

@hyfi:matrix.org

also ndr@beehaw.org

  • 11 Posts
  • 30 Comments
Joined 1 year ago
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Cake day: June 9th, 2023

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  • I’ve mentioned this game already in a few comments recently, but I think it really deserves more attention.

    Prey (2017): I’ve loved it since the first moment, and I still think about the story and lore very often. It’s almost impossible to find a similar game (Bioshock 1 and System Shock 2 have quite some things in common with Prey, but the latter has its own unique vibe).











  • Here is main takeaway from the abstract for those who don’t want to read the whole thing:

    Through our experiments, we identify a key shortcoming of LLMs in terms of their causal inference skills, and show that these models achieve almost close to random performance on the task. This shortcoming is somewhat mitigated when we try to re-purpose LLMs for this skill via finetuning, but we find that these models still fail to generalize – they can only perform causal inference in in-distribution settings when variable names and textual expressions used in the queries are similar to those in the training set, but fail in out-of-distribution settings generated by perturbing these queries.