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What Everyone Gets Wrong About AI and Learning [video]

https://www.youtube.com/watch?v=0xS68sl2D70
1•thunderbong•1m ago•0 comments

How much does a token cost?

https://www.erikjs.com/experiences/llm-token-counter
1•csgod•4m ago•0 comments

A New Fossil Discovery Just Rewrote 150 Years of Evolutionary Theory

https://www.404media.co/a-new-fossil-discovery-just-rewrote-150-years-of-evolutionary-theory/
1•susiecambria•10m ago•0 comments

The "Digital Cash Envelope": Making Crypto Gifting as Easy as Cash

https://www.indiehackers.com/post/the-digital-cash-envelope-making-crypto-gifting-as-easy-as-cash...
1•mybucks_online•14m ago•0 comments

Eyes Do More Than See (1965) – Isaac Asimov

http://www-graphics.stanford.edu/~tolis/toli/other/eyes.html
1•kegenaar•15m ago•0 comments

Fine-tuned a model on Advaita Vedanta text

https://huggingface.co/aaravshirpurkar/turiya-model
2•aaravshirpurkar•19m ago•1 comments

Plane slams into Beijing's tallest building, sends debris raining down [video]

https://www.youtube.com/watch?v=YNJYR_HE8uo
2•Imustaskforhelp•22m ago•0 comments

Search SDK – Integrate web search into agents

https://search-sdk.dev/
1•haxzie•24m ago•0 comments

Sequence Modeling with CTC

https://distill.pub/2017/ctc/
1•diginova•26m ago•0 comments

WebSite Grader and Analytics for Small Businesses

https://stackra.app/
1•LBeck84•27m ago•0 comments

Show HN: PhoneCode: Local-First ADE Running Natively on Android

https://github.com/dttdrv/phonecode
1•dttdrv•27m ago•0 comments

A model-free runtime that holds photonic/quantum hardware steady under drift

https://compute.neophotonics.ca/
1•quantumbum•32m ago•0 comments

Higher rate limits on the Claude API

https://platform.claude.com/docs/en/api/rate-limits
1•thedebuglife•34m ago•0 comments

Show HN: Cyclearchive.com – search vintage cycling magazines

https://cyclearchive.com/search/
1•alastairr•36m ago•0 comments

How to evaluate multimodal VLMs for your video use case

https://labs.videodb.io/research/how-to-evaluate-multimodal-vlms-for-your-video-use-case
1•notTechy•36m ago•0 comments

Show HN: Brytlog – AI logger

https://github.com/Guy-Sela/brytlog
1•guy-sela•44m ago•0 comments

The US lock of the Web – ache

https://ache.one/notes/the-us-lock-of-the-web
3•abdelhousni•46m ago•0 comments

World Cup fans frustrated by 'confusing and expensive' tipping culture in US

https://www.bbc.com/news/articles/clyxgjykx7lo
8•theanonymousone•46m ago•2 comments

I owe my life to a 1913 road rage incident

https://blog.plover.com/2026/06/27/#andor
2•Tomte•47m ago•0 comments

Early Computer Viruses Spread Before the Internet

https://comuniq.xyz/post?t=1328
1•01-_-•49m ago•0 comments

Ask HN: Has Ilya Sutskever spoken publicly lately?

4•aurenvale•50m ago•0 comments

The Calculator Discipline – AI-Assisted Disclosure Hallucinations

https://zenodo.org/records/20393083
1•ethical•57m ago•0 comments

Researchers have developed pixels that can emit and analyse light together

https://ethz.ch/en/news-and-events/eth-news/news/2026/06/a-new-type-of-pixel.html
2•tspng•58m ago•1 comments

Decline in IQ linked to frequent or dependent use of cannabis use in youth

https://www.cambridge.org/core/journals/psychological-medicine/article/intelligence-quotient-decl...
7•vixen99•1h ago•1 comments

Om interviews Brunello Cucinelli (2015)

https://om.co/2015/04/27/brunello-cucinelli-2/
2•tosh•1h ago•0 comments

US Military conducts strikes on Iran after attack on ship in Strait of Hormuz

https://twitter.com/BBCBreaking/status/2070610019578511419
3•aurenvale•1h ago•0 comments

NLNet Labs LLM Policy

https://nlnetlabs.nl/llm-policy/
5•birdculture•1h ago•1 comments

Clockwork, a browser engine of intermeshing gears and impossible motion

https://sand-morph.up.railway.app/clockwork
1•echohive42•1h ago•0 comments

Germany urges EU to suspend methane rules after US pressure

https://www.ft.com/content/c5c97c40-6afe-4a22-a9b8-aea456b85326
5•littlexsparkee•1h ago•1 comments

How to Write an Effective Software Design Document · Refactoring English

https://refactoringenglish.com/excerpts/write-an-effective-design-doc/
1•mpweiher•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.