obscure-enigma
Re:Ask HN: Who is hiring? (December 2025)
on Monday December 01, 2025 @01:10PM (#46110775)
do you guys hire from India
Re:Wikipedia survives while the rest of the internet breaks
on Thursday September 04, 2025 @09:10PM (#45134041)
the fact that anyone can be an editor on Wikipedia scares me. I mostly use it for STEM, current affairs and timelines, stuff that can't be easily fiddled—unlike topics around history & politics. These are highly baised on wikipedia.
For instance, look at wikipediocracy.com
Re:Building A16Z's Personal AI Workstation
on Saturday August 23, 2025 @01:10PM (#44997397)
YC seems to be hopping on every trend more than what A16Z does. The latter still bet on momentum and not just heat in the game
Claw Back Your Data with Cyd (Hope 2025) [video]
Re:Why and how to write things on the Internet (2022)
on Thursday August 14, 2025 @06:14PM (#44906323)
lower your bar
A quantum safe encryption email service
Re:GitHub is no longer independent at Microsoft after CEO resignation
on Tuesday August 12, 2025 @02:04AM (#44872929)
The only good they can do by this is remove those accounts that just signed up with cool usernames and never showed up again
A local, portable, single-file web server in C
Re:Enough AI Copilots, We Need AI HUDs
on Monday July 28, 2025 @02:42AM (#44707896)
> 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.
Re:Show HN: Bedrock – An 8-bit computing system for running programs a...
on Tuesday July 15, 2025 @04:14AM (#44569044)
moreover, once "it can run anywhere" is defined, you can't run it anywhere
Re:AbsenceBench: Language models can't tell what's missing
on Friday June 20, 2025 @09:18PM (#44333706)
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