frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

Show HN: Wiki.txt

https://github.com/wikitxt/wiki.txt
1•tamnd•4m ago•0 comments

A look at an Android ITW DNG exploit

https://googleprojectzero.blogspot.com/2025/12/a-look-at-android-itw-dng-exploit.html
1•gslin•12m ago•0 comments

Modern SID chip substitutes [video]

https://www.youtube.com/watch?v=nooPmXxO6K0
2•vismit2000•15m ago•0 comments

Rocket Lab – 'Raise and Shine' Launch for JAXA [video]

https://www.youtube.com/watch?v=cMP328yoUu4
2•schappim•18m ago•0 comments

Deal or No Deal Game

https://jgbrwn.neocities.org/games/dond
1•indigodaddy•21m ago•1 comments

The state of enterprise AI – What we're learning about AI at work

https://openai.com/index/the-state-of-enterprise-ai-2025-report/
1•achow•22m ago•0 comments

Operation Cowboy

https://en.wikipedia.org/wiki/Operation_Cowboy
1•srl•22m ago•0 comments

Intel Nears $1.6B Deal for AI Chip Startup SambaNova

https://www.bloomberg.com/news/articles/2025-12-12/intel-nears-1-6-billion-deal-for-ai-chip-start...
4•pinewurst•30m ago•1 comments

Four AI Systems Negotiate Binding Framework for Viral Content Management

https://github.com/aiconvergence-collab/multi-ai-viral-uncertainty-pact
2•mrocelot1976•44m ago•1 comments

Show HN: Scrape websites into queryable Gemini RAG knowledge bases

https://apify.com/yoloshii/gemini-file-search-builder
1•yoloshii•45m ago•0 comments

Larval stage support engineering: great at what doesn't scale

https://thundergolfer.com/startups/support/2025/12/13/support-eng-stage-1/
2•thundergolfer•59m ago•0 comments

Online Piracy Can Boost Box Office Revenue, Study Suggests

https://torrentfreak.com/online-piracy-can-boost-box-office-revenue-study-suggests/
3•gslin•1h ago•1 comments

China Makes History with $1T Trade Surplus for First Time

https://fortune.com/2025/12/08/china-1-trillion-trade-surplus-exports-rebound/
4•skx001•1h ago•1 comments

Ask HN: Is There a Shell Revival?

1•sshadmand•1h ago•3 comments

LogicStamp: Turn React/TS into AI-Ready Context

https://logicstamp.dev/
2•handfuloflight•1h ago•0 comments

Color Contrast Tool Using APCA, the Candidate Contrast Method for WCAG 3

https://www.color-contrast.dev/
2•Kerrick•1h ago•0 comments

Lean Theorem Prover Mathlib

https://github.com/leanprover-community/mathlib4
2•downboots•1h ago•0 comments

Laundry Insights from Scraping 4000 Washer/Dryers in San Francisco

https://kavi.sh/san-francisco-laundry-analysis/
2•2gremlin181•1h ago•1 comments

Show HN: A game engine that transpiles your scripts to Rust for native perf

https://github.com/PerroEngine/Perro
1•TiernanDeFranco•1h ago•0 comments

Using a projector instead of a computer monitor

https://blog.shenjiasi.com/20171006.html
2•plun9•1h ago•1 comments

FDA leaders propose new 'plausible mechanism' pathway for bespoke medicines

https://www.raps.org/news-and-articles/news-articles/2025/11/fda-leaders-propose-new-‘plausible...
4•geox•1h ago•1 comments

If a Meta AI model can read a brain-wide signal, why wouldn't the brain?

https://1393.xyz/writing/if-a-meta-ai-model-can-read-a-brain-wide-signal-why-wouldnt-the-brain
2•rdgthree•1h ago•0 comments

Shooting at Brown U Barus and Holley building houses engineering and physics

https://rhodeislandcurrent.com/2025/12/13/the-unthinkable-has-happened-2-killed-eight-injured-in-...
5•redwood•1h ago•0 comments

Honing rods analyzed with an electron microscope – Scienceofsharp (2018)

https://scienceofsharp.com/2018/08/22/what-does-steeling-do-part-1/
1•shrinks99•1h ago•0 comments

How to Extend Phone Battery Life: 10 Proven Hacks

https://www.dailytechhacks.com/hacks/extend-phone-battery-life.html
1•rk3000•1h ago•3 comments

Show HN: Libefaxx – A Microbenchmark for AWS EFA GPU/CPU RDMA Communication

https://github.com/crazyguitar/Libefaxx
2•crazyguitar•1h ago•0 comments

Therapeutic Use of Cannabis and Cannabinoids: A Review

https://jamanetwork.com/journals/jama/fullarticle/2842072?guestAccessKey=a368e622-e374-4a0c-8d3b-...
3•bookofjoe•1h ago•0 comments

Free Software Awards Winners Announced: Andy Wingo, Alx Sa, Govdirectory

https://www.fsf.org/news/2024-free-software-awards-winners
17•pseudolus•2h ago•0 comments

NeuralOperator Joins the PyTorch Ecosystem

https://pytorch.org/blog/neuraloperatorjoins-the-pytorch-ecosystem/
2•williamjsdavis•2h ago•0 comments

States lodge lawsuit against Trump's $100k H-1B visa fee

https://www.politico.com/news/2025/12/12/trump-visa-fee-lawsuit-00689510
6•sul_tasto•2h ago•0 comments
Open in hackernews

GPT needs a truth-first toggle for technical workflows

1•PAdvisory•6mo 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•6mo 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•6mo 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__•6mo 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.