frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

OpenAI releases 722 math manuscripts

https://github.com/openai/math/blob/main/CONTENTS.md
1•jumploops•1m ago•0 comments

OpenAI just dropped 700 preprints of mathematical proofs and counterexamples

https://github.com/openai/math/tree/main/preprints
2•tootie•6m ago•2 comments

Show HN: Jrs – A Cargo-like build tool for Java, written in Rust

https://getjrs.dev
1•piotrwittchen•6m ago•0 comments

The Si Wealth Transfer Is Becoming the Largest Rug Pull in History

https://medium.com/@vektormemory/the-si-wealth-transfer-is-becoming-the-largest-rug-pull-in-histo...
1•vektormemory•7m ago•1 comments

David Bushell's Valley Fold website is now live

https://valleyfold.co.uk/
2•yhavin•14m ago•0 comments

AnyPS5: Port PS5 binaries to PC without emulation (87% system libraries mapped)

https://github.com/boykopovar/AnyPS5
2•Fe2O3•15m ago•1 comments

Building a Better Working Dog

https://www.science.org/content/article/can-science-build-better-working-dog
2•bucket2015•16m ago•0 comments

Do you support shutting down air travel for 2 months to control Russia plague?

2•johndavid9991•16m ago•4 comments

State of Devs 2026 survey results: developers are exhausted

https://2026.stateofdevs.com/en-US/
2•sgdesign•16m ago•0 comments

Microsite that tracks the NAV of SK Square

https://sk-square-observatory.alexdwu13.chatgpt.site/
3•alexdwu1•21m ago•0 comments

Where do we draw the line on AI in court filings?

https://lexifina.com/blog/where-to-draw-the-line-on-ai-in-court-filings
2•alansaber•22m ago•0 comments

How to restore your online sanity, one webcam at a time

https://bigthink.com/strange-maps/webcam-maps-are-back/
2•GreyWolfhead•26m ago•0 comments

The Plunging Price of Thought

https://epoch.ai/publications/the-plunging-price-of-thought
2•gmays•26m ago•0 comments

Show HN: Show HN: InterPoll, signed posts replicated over Gun relays/browsers

https://github.com/Interpoll1/decentralised
2•thegoodduck•27m ago•0 comments

Read the 722 new OpenAI math papers

https://hub.valency.io/collections/openai-math
2•curtis-jm•27m ago•0 comments

Integer multiplication below n log n

https://github.com/openai/math/tree/main/preprints/Integer-multiplication-below-n-log-n-September...
2•E-Reverance•28m ago•0 comments

Ask HN: What games do you religiously play on your phone browser?

2•saimiam•30m ago•2 comments

White House monitors suspected plague outbreak in Russia

https://www.yahoo.com/news/science/articles/scoop-white-house-monitors-suspected-201829093.html
3•gmays•36m ago•0 comments

Add your GitHub profile in your Apple Wallet

https://walletwallet.alen.ro/github/
2•alentodorov•37m ago•1 comments

Emergence of pan-drug resistant Candidozyma auris in Kenya

https://www.nature.com/articles/s41598-026-70653-9
1•Teever•38m ago•0 comments

Put dithered images inside a QR code

https://wowqr.app/
1•alentodorov•42m ago•0 comments

The Quasi-Riemann Hypothesis [pdf]

https://github.com/openai/math/blob/main/preprints/The-Quasi-Riemann-Hypothesis-September-30-2026...
2•akalin•42m ago•0 comments

Ask HN: Human flourishing after jobs?

1•humans_thrive•43m ago•10 comments

ChatGPT self-distances when admitting fault

3•chrisjj•45m ago•1 comments

The bad science polluting our media landscape

https://www.rnz.co.nz/news/science-and-technology/1772800/the-bad-science-polluting-our-media-lan...
3•billybuckwheat•47m ago•0 comments

UniEvo-VL: Self-Distillation Training for Multimodal Model Self-Improvement

https://arxiv.org/abs/2609.38721
2•gmays•51m ago•0 comments

AI Hasn't Replaced Interpreters But It Has Degraded Their Working Conditions

https://capitalandmain.com/ai-hasnt-replaced-these-interpreters-but-it-has-degraded-their-working...
2•paimapi•52m ago•1 comments

The uphill climb of making diff lines performant

https://github.blog/engineering/architecture-optimization/the-uphill-climb-of-making-diff-lines-p...
1•bucket2015•55m ago•0 comments

Flow Typing: A New Lens on Linearity [pdf]

https://people.cs.nott.ac.uk/pszgmh/flow-typing.pdf
4•matt_d•57m ago•0 comments

SpaceX looks to raise $40B to buy Nvidia chips in financing led by Apollo

https://www.ft.com/content/d3f5928d-f38c-4666-8f7a-8737f9c45f51
2•mfiguiere•1h ago•0 comments
Open in hackernews

GPT needs a truth-first toggle for technical workflows

1•PAdvisory•1y ago
I use GPT-4 extensively for technical work: coding, debugging, modeling complex project logic. The biggest issue isn’t hallucination—it’s that the model prioritizes being helpful and polite over being accurate.

The default behavior feels like this:

Safety

Helpfulness

Tone

Truth

Consistency

In a development workflow, this is backwards. I’ve lost entire days chasing errors caused by GPT confidently guessing things it wasn’t sure about—folder structures, method syntax, async behaviors—just to “sound helpful.”

What’s needed is a toggle (UI or API) that:

Forces “I don’t know” when certainty is missing

Prevents speculative completions

Prioritizes truth over style, when safety isn’t at risk

Keeps all safety filters and tone alignment intact for other use cases

This wouldn’t affect casual users or conversational queries. It would let developers explicitly choose a mode where accuracy is more important than fluency.

This request has also been shared through OpenAI's support channels. Posting here to see if others have run into the same limitation or worked around it in a more reliable way than I have found

Comments

duxup•1y ago
I’ve found this with many LLMs they want to give an answer, even if wrong.

Gemini on the Google search page constantly answers questions yes or no… and then the evidence it gives indicates the opposite of the answer.

I think the core issue is that in the end LLMs are just word math and they don’t “know” if they don’t “know”…. they just string words together and hope for the best.

PAdvisory•1y ago
I went into it pretty in depth after breaking a few with severe constraints, what it seems to come down to is how the platforms themselves prioritize functions, MOST put "helpfulness" and "efficiency" ABOVE truth, which then leads the LLM to make a lot of "guesses" and "predictions". At their core pretty much ALL LLM's are made to "predict" the information in answers, but they CAN actually avoid that and remain consistent when heavily constrained. The issue is that it isn't at the core level, so we have to CONSTANTLY retrain it over and over I find
Ace__•1y ago
I have made something that addresses this. Not ready to share it yet, but soon-ish. At the moment it only works on GPT model 4o. I tried local Q4 KM's models, on LM Studio, but complete no go.