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TOSTracker – The AI Training Asymmetry

https://tostracker.app/analysis/ai-training
1•tldrthelaw•2m ago•0 comments

The Devil Inside GitHub

https://blog.melashri.net/micro/github-devil/
1•elashri•3m ago•0 comments

Show HN: Distill – Migrate LLM agents from expensive to cheap models

https://github.com/ricardomoratomateos/distill
1•ricardomorato•3m ago•0 comments

Show HN: Sigma Runtime – Maintaining 100% Fact Integrity over 120 LLM Cycles

https://github.com/sigmastratum/documentation/tree/main/sigma-runtime/SR-053
1•teugent•3m ago•0 comments

Make a local open-source AI chatbot with access to Fedora documentation

https://fedoramagazine.org/how-to-make-a-local-open-source-ai-chatbot-who-has-access-to-fedora-do...
1•jadedtuna•5m ago•0 comments

Introduce the Vouch/Denouncement Contribution Model by Mitchellh

https://github.com/ghostty-org/ghostty/pull/10559
1•samtrack2019•5m ago•0 comments

Software Factories and the Agentic Moment

https://factory.strongdm.ai/
1•mellosouls•5m ago•1 comments

The Neuroscience Behind Nutrition for Developers and Founders

https://comuniq.xyz/post?t=797
1•01-_-•5m ago•0 comments

Bang bang he murdered math {the musical } (2024)

https://taylor.town/bang-bang
1•surprisetalk•5m ago•0 comments

A Night Without the Nerds – Claude Opus 4.6, Field-Tested

https://konfuzio.com/en/a-night-without-the-nerds-claude-opus-4-6-in-the-field-test/
1•konfuzio•8m ago•0 comments

Could ionospheric disturbances influence earthquakes?

https://www.kyoto-u.ac.jp/en/research-news/2026-02-06-0
1•geox•9m ago•0 comments

SpaceX's next astronaut launch for NASA is officially on for Feb. 11 as FAA clea

https://www.space.com/space-exploration/launches-spacecraft/spacexs-next-astronaut-launch-for-nas...
1•bookmtn•11m ago•0 comments

Show HN: One-click AI employee with its own cloud desktop

https://cloudbot-ai.com
1•fainir•13m ago•0 comments

Show HN: Poddley – Search podcasts by who's speaking

https://poddley.com
1•onesandofgrain•14m ago•0 comments

Same Surface, Different Weight

https://www.robpanico.com/articles/display/?entry_short=same-surface-different-weight
1•retrocog•16m ago•0 comments

The Rise of Spec Driven Development

https://www.dbreunig.com/2026/02/06/the-rise-of-spec-driven-development.html
2•Brajeshwar•20m ago•0 comments

The first good Raspberry Pi Laptop

https://www.jeffgeerling.com/blog/2026/the-first-good-raspberry-pi-laptop/
3•Brajeshwar•20m ago•0 comments

Seas to Rise Around the World – But Not in Greenland

https://e360.yale.edu/digest/greenland-sea-levels-fall
2•Brajeshwar•21m ago•0 comments

Will Future Generations Think We're Gross?

https://chillphysicsenjoyer.substack.com/p/will-future-generations-think-were
1•crescit_eundo•24m ago•1 comments

State Department will delete Xitter posts from before Trump returned to office

https://www.npr.org/2026/02/07/nx-s1-5704785/state-department-trump-posts-x
2•righthand•27m ago•1 comments

Show HN: Verifiable server roundtrip demo for a decision interruption system

https://github.com/veeduzyl-hue/decision-assistant-roundtrip-demo
1•veeduzyl•28m ago•0 comments

Impl Rust – Avro IDL Tool in Rust via Antlr

https://www.youtube.com/watch?v=vmKvw73V394
1•todsacerdoti•28m ago•0 comments

Stories from 25 Years of Software Development

https://susam.net/twenty-five-years-of-computing.html
3•vinhnx•29m ago•0 comments

minikeyvalue

https://github.com/commaai/minikeyvalue/tree/prod
3•tosh•33m ago•0 comments

Neomacs: GPU-accelerated Emacs with inline video, WebKit, and terminal via wgpu

https://github.com/eval-exec/neomacs
1•evalexec•38m ago•0 comments

Show HN: Moli P2P – An ephemeral, serverless image gallery (Rust and WebRTC)

https://moli-green.is/
2•ShinyaKoyano•42m ago•1 comments

How I grow my X presence?

https://www.reddit.com/r/GrowthHacking/s/UEc8pAl61b
2•m00dy•44m ago•0 comments

What's the cost of the most expensive Super Bowl ad slot?

https://ballparkguess.com/?id=5b98b1d3-5887-47b9-8a92-43be2ced674b
1•bkls•45m ago•0 comments

What if you just did a startup instead?

https://alexaraki.substack.com/p/what-if-you-just-did-a-startup
5•okaywriting•51m ago•0 comments

Hacking up your own shell completion (2020)

https://www.feltrac.co/environment/2020/01/18/build-your-own-shell-completion.html
2•todsacerdoti•54m ago•0 comments
Open in hackernews

Which Humans? (2023)

https://osf.io/preprints/psyarxiv/5b26t_v1
45•surprisetalk•1mo ago

Comments

jdkee•1mo ago
As an aside: Last year a student of mine (we're at a U.S. college) told me that his teenage cousins back in Mongolia were all learning English in order to use ChatGPT.
croisillon•1mo ago
is it a steppe up?
MengerSponge•1mo ago
/usr/bin/humans, presumably
dwa3592•1mo ago
/usr/bin/human/weird, to be precise.
Timwi•1mo ago
Homo peculiaris
mncharity•1mo ago
Since the page didn't load for me several times, and the title is ambiguous, here's the Abstract: Large language models (LLMs) have recently made vast advances in both generating and analyzing textual data. Technical reports often compare LLMs’ outputs with “human” performance on various tests. Here, we ask, “Which humans?” Much of the existing literature largely ignores the fact that humans are a cultural species with substantial psychological diversity around the globe that is not fully captured by the textual data on which current LLMs have been trained. We show that LLMs’ responses to psychological measures are an outlier compared with large-scale cross-cultural data, and that their performance on cognitive psychological tasks most resembles that of people from Western, Educated, Industrialized, Rich, and Democratic (WEIRD) societies but declines rapidly as we move away from these populations (r = -.70). Ignoring cross-cultural diversity in both human and machine psychology raises numerous scientific and ethical issues. We close by discussing ways to mitigate the WEIRD bias in future generations of generative language models.
rokizero•1mo ago
This was submitted 30 months ago. Still interesting. I would be interested if this got 'worse' or 'better' with newer models.
andy99•1mo ago
2023, and using some kind of in-page pdf reader from 2002
wellthisisgreat•1mo ago
It’s 2025 today, Andy :)
Timwi•1mo ago
The website is from 2023.
didgetmaster•1mo ago
Surprise, Surprise. LLMs will respond according to the set of data that their model was trained on!

While just about every LLM is trained on data that far surpasses the output of just one person, or even a decent sized group; it will still reflect the average sentiment of the corpus of data fed into it.

If the bulk of the training data was scraped from websites created in 'WEIRD' countries, then it's responses will largely mimic their culture.

cathyreisenwitz•1mo ago
I wonder whether it might be useful to the continued existence of humanity to correct for the individualism bias in WEIRD countries with some collectivism
levocardia•1mo ago
I think it is mostly a good thing that LLMs have "WEIRD" values. We are at a very fortuitous point in history, where the modal position in extant written text is classically liberal and believes in respecting human rights. Virtually no other point in history would be that way, and a true modal position among values and moral beliefs held among all 8 billion people currently alive on earth -- much less the modal position among all ~100 billion humans ever -- would, I'd hazard to guess, not be a very nice place to end up.
g8oz•1mo ago
The extant text also encodes Western hypocrisies and blind spots.
daymanstep•1mo ago
If you go back 200 years, you'll be smack bang in the middle of the Enlightenment with thinkers like Kant and Jeremy Bentham.

You could argue that if you trained LLMs on only texts from that time period, you would get something even more "classically liberal" or human-rights-respecting

rexpop•1mo ago
You're foolishly myopic if you think your ideology coincides with the global historical best. Have a little humility and consider that there are concepts you haven't even heard of that might be better.
buildsjets•1mo ago
Denisovans, clearly.
OrionNox•1mo ago
They deliberately picked "weird". That tells you enought about their ideological position and bias.