Readit Newsobscure-enigma commented on Why and how to write things on the Internet (2022) benkuhn.net/writing/... · Posted by u/jger15
> In fact, my suggestion is to make all your writing-related choices to optimize for this. If something seems like a good idea in principle, but would make it harder for you to write consistently or slower to get feedback, don’t do it.
But what if the thing that seems to be making it harder to write consistently (on a blog; I seem to have no problem commenting on forums) is just being me?
lower your bar
The only good they can do by this is remove those accounts that just signed up with cool usernames and never showed up again
obscure-enigma commented on Enough AI copilots, we need AI HUDs geoffreylitt.com/2025/07/... · Posted by u/walterbell
> design the cockpit so that the human pilot is naturally aware of their surroundings.
This is a design interface problem. Self-driving cars can easily ingest this HUD. This is the reason what makes Apple's AI different from other microservice-like AI. The spell checker, rewrite, proofread are naturally integrated into the UI to the extent it doesn't feel like AI powered operations.
I'm not steeped in computer science, so please pardon me if the following are dumb questions.
> Programs written for Bedrock can run on any computer system, so long as a Bedrock emulator has been implemented for that system.
Isn't that true of any program? As long as the language that the program is written in is implemented on the system, any (valid?) program in that language will run on that system?
moreover, once "it can run anywhere" is defined, you can't run it anywhere
obscure-enigma commented on AbsenceBench: Language models can't tell what's missing arxiv.org/abs/2506.11440... · Posted by u/JnBrymn
this research is too simplified and kind of vague, as it's the inherent nature of language models for that matter any probabilistic model, to compress the information for better generalization since there is a lower bound to how much loss they can incur while decoding the information. LLMs are indeed lossy compressors
The funny part is that they still make money. It seems like once you’ve got the connections, being a VC is a very easy job these days.