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In Clover: What does McKinsey do? (2022)

https://www.lrb.co.uk/the-paper/v44/n24/laleh-khalili/in-clover
1•Tomte•1m ago•0 comments

Show HN: Run coding agents on your own machine, steer them from anywhere

https://github.com/phyra-research/roamux
1•mwiki•9m ago•0 comments

Diablo 5 Announced

https://sea.ign.com/diablo-iv/248747/diablo-5-announced
1•nsoonhui•10m ago•0 comments

Ask HN: Should we start airgapping our personal devices?

1•emerongi•10m ago•0 comments

Android – Morphe patch app list

https://morphe-patches.software/#apps
1•dockerd•11m ago•0 comments

Deepfakes are wrecking influencers' credibility, one fake ad at a time

https://www.theguardian.com/technology/2026/sep/12/deepfakes-wrecking-influencers-credibility
2•andsoitis•14m ago•0 comments

Genuine curiosity will always beat performative intellectualism

https://hasifcore.substack.com/p/genuine-curiosity-will-always-beat
1•the-mitr•14m ago•0 comments

Rawtree – A ClickHouse Fork by Tinybird

https://rawtree.com/
2•knuckleheads•15m ago•0 comments

Matt Berry is now a sentient IKEA shelf in Skyrim

https://www.pcworld.com/article/3233287/matt-berry-is-now-a-sentient-ikea-shelf-in-skyrim.html
1•jubayer9906•18m ago•0 comments

Ask HN: What if anyone could sell AI tokens from their idle GPU?

1•edurights-team•19m ago•2 comments

Show HN: How LLMs work, explained through music, football or cricket analogies

https://understand-ai.dev/
1•understandaidev•19m ago•0 comments

Persimmon v0.1 Model Card

https://persimmon.humansand.ai/blog/persimmon-model-card.html
1•pr337h4m•19m ago•0 comments

Little Tikes iconic children's toys go colorless for 'contemporary feel'

https://www.wafb.com/2026/09/10/little-tikes-iconic-childrens-toys-go-colorless-contemporary-feel/
2•Danhale93•21m ago•0 comments

Dramatic insider warnings over AI fall flat with some in Silicon Valley

https://www.bbc.co.uk/news/articles/cq635037g18o
7•chrisjj•22m ago•0 comments

Texts Reveal Kash Patel Ordering Staff to Fight "Ifindretards" Account

https://newrepublic.com/post/215320/texts-kash-patel-order-staff-mean-social-media-posts-ifindret...
3•girish_r•23m ago•0 comments

Massing

https://en.wikipedia.org/wiki/Massing
1•tosh•32m ago•0 comments

This website runs on a Raspberry Pi 4B with only 1 GB of RAM

https://pi.deepakness.com/
2•7777777phil•34m ago•1 comments

Pace the frontier but stop pretending you need anyone else's permission

https://twitter.com/DavidSacks/status/2098973625252708460
1•caaqil•36m ago•0 comments

Software Engineer: I'm Tired of Pretending [video]

https://www.youtube.com/watch?v=H0HwFqBG9KE
2•conferza•38m ago•0 comments

OpenAI built a text generator so good, it's considered too dangerous (2019)

https://techcrunch.com/2019/02/17/openai-text-generator-dangerous/
7•olalonde•39m ago•0 comments

Keep calm and regulate on: Inside the EU's response to AI extinction warnings

https://www.politico.eu/article/eu-response-ai-extinction-warnings/
3•vrganj•39m ago•1 comments

Monitoring Mint with Microcontrollers Running TinyGo

https://www.mrnice.dev/posts/monitoring-mint-part-1/
1•ShayNehmad•39m ago•1 comments

JetKVM Mini

https://jetkvm.com/blog/introducing-jetkvm-mini
22•taubek•40m ago•8 comments

A rant about phishing: It's not the user's fault (and not DNS either)

https://maurycyz.com/misc/domains/
3•birdculture•45m ago•0 comments

Show HN: Fly or Tesla – Compare the cost, time, and stress of flights vs. FSD

https://flyortesla.com/
3•optimizethis•47m ago•3 comments

How are you using a Desktop or Browser AI agent daily?

2•Qhloi•49m ago•0 comments

American Medical Association backs classification of nearsightedness as disease

https://www.aao.org/newsroom/news-releases/detail/ama-backs-formal-classification-nearsightedness
14•plun9•54m ago•6 comments

A remote island, these GPS hackers are preparing for an invisible war

https://www.bbc.com/future/article/20260908-inside-the-fight-to-protect-the-worlds-satellite-signals
4•rayhaanj•56m ago•0 comments

AI staff 'genuinely frightened' for humanity's future

https://www.bbc.com/news/articles/c1kx0gyje9wo
2•dabinat•56m ago•0 comments

Africa's Airliner Fleet May More Than Double by 2045

https://humanprogress.org/africas-commercial-fleet-to-more-than-double-by-2045/
1•andsoitis•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.