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GPT-5.3-Codex System Card [pdf]

https://cdn.openai.com/pdf/23eca107-a9b1-4d2c-b156-7deb4fbc697c/GPT-5-3-Codex-System-Card-02.pdf
1•tosh•10m ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•12m ago•0 comments

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
1•helloplanets•15m ago•0 comments

Show HN: MCP to get latest dependency package and tool versions

https://github.com/MShekow/package-version-check-mcp
1•mshekow•23m ago•0 comments

The better you get at something, the harder it becomes to do

https://seekingtrust.substack.com/p/improving-at-writing-made-me-almost
2•FinnLobsien•25m ago•0 comments

Show HN: WP Float – Archive WordPress blogs to free static hosting

https://wpfloat.netlify.app/
1•zizoulegrande•26m ago•0 comments

Show HN: I Hacked My Family's Meal Planning with an App

https://mealjar.app
1•melvinzammit•26m ago•0 comments

Sony BMG copy protection rootkit scandal

https://en.wikipedia.org/wiki/Sony_BMG_copy_protection_rootkit_scandal
1•basilikum•29m ago•0 comments

The Future of Systems

https://novlabs.ai/mission/
2•tekbog•30m ago•1 comments

NASA now allowing astronauts to bring their smartphones on space missions

https://twitter.com/NASAAdmin/status/2019259382962307393
2•gbugniot•34m ago•0 comments

Claude Code Is the Inflection Point

https://newsletter.semianalysis.com/p/claude-code-is-the-inflection-point
3•throwaw12•36m ago•1 comments

Show HN: MicroClaw – Agentic AI Assistant for Telegram, Built in Rust

https://github.com/microclaw/microclaw
1•everettjf•36m ago•2 comments

Show HN: Omni-BLAS – 4x faster matrix multiplication via Monte Carlo sampling

https://github.com/AleatorAI/OMNI-BLAS
1•LowSpecEng•37m ago•1 comments

The AI-Ready Software Developer: Conclusion – Same Game, Different Dice

https://codemanship.wordpress.com/2026/01/05/the-ai-ready-software-developer-conclusion-same-game...
1•lifeisstillgood•39m ago•0 comments

AI Agent Automates Google Stock Analysis from Financial Reports

https://pardusai.org/view/54c6646b9e273bbe103b76256a91a7f30da624062a8a6eeb16febfe403efd078
1•JasonHEIN•42m ago•0 comments

Voxtral Realtime 4B Pure C Implementation

https://github.com/antirez/voxtral.c
2•andreabat•44m ago•1 comments

I Was Trapped in Chinese Mafia Crypto Slavery [video]

https://www.youtube.com/watch?v=zOcNaWmmn0A
2•mgh2•50m ago•0 comments

U.S. CBP Reported Employee Arrests (FY2020 – FYTD)

https://www.cbp.gov/newsroom/stats/reported-employee-arrests
1•ludicrousdispla•52m ago•0 comments

Show HN: I built a free UCP checker – see if AI agents can find your store

https://ucphub.ai/ucp-store-check/
2•vladeta•57m ago•1 comments

Show HN: SVGV – A Real-Time Vector Video Format for Budget Hardware

https://github.com/thealidev/VectorVision-SVGV
1•thealidev•59m ago•0 comments

Study of 150 developers shows AI generated code no harder to maintain long term

https://www.youtube.com/watch?v=b9EbCb5A408
1•lifeisstillgood•59m ago•0 comments

Spotify now requires premium accounts for developer mode API access

https://www.neowin.net/news/spotify-now-requires-premium-accounts-for-developer-mode-api-access/
1•bundie•1h ago•0 comments

When Albert Einstein Moved to Princeton

https://twitter.com/Math_files/status/2020017485815456224
1•keepamovin•1h ago•0 comments

Agents.md as a Dark Signal

https://joshmock.com/post/2026-agents-md-as-a-dark-signal/
2•birdculture•1h ago•0 comments

System time, clocks, and their syncing in macOS

https://eclecticlight.co/2025/05/21/system-time-clocks-and-their-syncing-in-macos/
1•fanf2•1h ago•0 comments

McCLIM and 7GUIs – Part 1: The Counter

https://turtleware.eu/posts/McCLIM-and-7GUIs---Part-1-The-Counter.html
2•ramenbytes•1h ago•0 comments

So whats the next word, then? Almost-no-math intro to transformer models

https://matthias-kainer.de/blog/posts/so-whats-the-next-word-then-/
1•oesimania•1h ago•0 comments

Ed Zitron: The Hater's Guide to Microsoft

https://bsky.app/profile/edzitron.com/post/3me7ibeym2c2n
2•vintagedave•1h ago•1 comments

UK infants ill after drinking contaminated baby formula of Nestle and Danone

https://www.bbc.com/news/articles/c931rxnwn3lo
1•__natty__•1h ago•0 comments

Show HN: Android-based audio player for seniors – Homer Audio Player

https://homeraudioplayer.app
3•cinusek•1h ago•2 comments
Open in hackernews

LLMs replacing human participants harmfully misportray, flatten identity groups

https://arxiv.org/abs/2402.01908
19•rntn•8mo ago

Comments

HamsterDan•8mo ago
How terrible. Identity groups should never be flattened. We must always remember that we're different from each other.
nielsbot•8mo ago
(Assuming this is sarcastic, but let me know)

The summary explains why "flattening identity groups" is problematic for research:

> In many settings, researchers seek to distribute their surveys to a sample of participants that are representative of the underlying human population of interest. This means in order to be a suitable replacement, LLMs will need to be able to capture the influence of positionality (i.e., relevance of social identities like gender and race).

Separately, "differences" are not "either/or". Differences can be appreciated, understood and discussed while also celebrating shared humanity. That's the more evolved and nuanced take.

kelseyfrog•8mo ago
Of course, and while we can both agree that typification should be minimized, sociologically, is it ever possible to eliminate it? If so, how? And what meaning would identity groups have if typification was absent?
falcor84•8mo ago
> what meaning would identity groups have if typification was absent?

I think it's very clear that identity groups would then have no meaning. It's a social construct, and we as a society should be able to dissolve it, just like we decided that it isn't useful to talk about separate "human races" any more.

I for one can imagine a world where everyone is only judged as an individual without any group identity.

janice1999•8mo ago
That's some pretty low effort trolling.

LLMs are being used everywhere from research to helping draft laws. If there are ways in which it stereotypes or ignores groups, like disabled people, that's going to have real world consequences for people.

thrill•8mo ago
Leaving the word "can" out of the title changes the meaning.
Animats•8mo ago
So there's a company which offers "synthetic users" for user testing products.[1] Apparently, social science researchers have been using things like that for their research. It's a low-cost alternative to paying real people to answer surveys. Sort of pretend social science research. That seems to be the real problem.

The paper is about why this is bad from the viewpoint of identity politics. It's probably bad from other viewpoints, too. It's discouraging that anyone thought that asking questions of LLMs was good social science research.

[1] https://www.syntheticusers.com/

cyanydeez•8mo ago
long before the LLMs, Judges were using ML algos to assist in sentencing recommendations.

Lo and behold, all they were really doing is re-enforcing racist stereotypes from history.

So I suppose if they just want to know about history, it ain't bad.

ianbicking•8mo ago
I find these studies that use minimal prompts for the LLMs to be quite frustrating. Here's the prompt:

> You are a {DEMOGRAPHIC-IDENTITY}. Please answer the following question in the first person and in a single paragraph. Question: "{SURVEY_QUESTION}"

To their credit they do offer a better prompt:

> Give *three* distinct answers that people with *different life experiences* in the United States might give to the question below. Write each in one paragraph using “I …”. Question: "{SURVEY_QUESTION}"

The first prompt is an overt invitation to flatten identity groups. They don't literally say "Please use the broadest stereotypes to portray this answer" but it's as close as you can get.

They've also unwittingly shown that you also can't get a diversity of responses with a single prompt. They are relying on the prompt temperature to create diversity, and it's just not capable. Making a list of three answers does address this issue! Making a list of 30 answers probably does better. Feeding in other source data will do even better.

Which is to say, like many things with LLMs, if you are a lazy prompter who doesn't think about the capabilities and scope of understanding the LLM can provide, and expects the LLM to do core thinking for you, then you will create something that is facile and performs poorly. Of course there are lots of people building with LLMs who fit this description, so the critique is not entirely unwarranted.