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The Disease called Politics (1962)

https://www.panarchy.org/roszak/politics.html
1•jruohonen•50s ago•0 comments

Show HN: Claydash SDF Modeler

https://claydash.com/
1•antoineMoPa•1m ago•0 comments

Show HN: RoadRaven – a project plan your coding agents keep up to date

https://github.com/Shuffzord/RoadRaven
1•Shuffzord•1m ago•0 comments

Unison Cloud is now open source

https://www.unison-lang.org/blog/unison-cloud-open-source/
1•birdculture•2m ago•0 comments

MrBeast 'Spends Millions Reverse Engineering the Algorithms on Each Platform'

https://www.barchart.com/story/news/5472260/mrbeast-told-billionaire-mark-cuban-he-spends-million...
2•theanonymousone•2m ago•0 comments

Tov: TypeScript-like language that compiles to native binaries

https://tov.sh
1•s13k•4m ago•0 comments

Knuth Reward Check

https://www.thomas-huehn.com/knuth-reward-check
2•Curiositry•7m ago•0 comments

Show HN: Health Explorer – See how genes shape health, from DNA to treatment

https://health-explorer.askcyph.ai/
1•dj_io•10m ago•0 comments

Book Publishers Are Quietly Using More AI. Staff Are Revolting

https://www.wired.com/story/book-publishers-are-quietly-using-more-ai-staff-are-revolting/
1•thm•11m ago•0 comments

Misunderstanding Absurdity

https://medium.com/@pheverdotexe/misunderstanding-absurdity-through-false-antithetical-parallelis...
2•Pheverdotexe•14m ago•0 comments

How Protein Took over the World

https://www.ft.com/content/e26574cf-94cc-40d9-921e-5c7417fc5dbd
3•thm•14m ago•0 comments

Ask HN: Have you checked REA(reverse engineer anything) GitHub repo?

1•rahuljha0403•14m ago•1 comments

No portable way to detect string-to-float conversion errors in standard C

https://sebsite.pw/w/20261009-strtod.html
1•signa11•15m ago•0 comments

Hacker News: An Apology

https://lee-phillips.org/byeHN/
1•leephillips•15m ago•1 comments

Turn Apple Shortcuts into Live Activities on Your iPhone

https://apps.apple.com/us/app/live-shortcut/id6476543630
1•andrewfang•16m ago•0 comments

Gauze Corrects LLM Responses

https://github.com/ggeorgovassilis/llm-gauze
1•ggeorgovassilis•17m ago•1 comments

At Robinhood's Mecca for Risk-Loving Traders Everyone Has a Tale of Getting Rich

https://www.wsj.com/finance/at-robinhoods-mecca-for-risk-loving-traders-everyone-has-a-tale-of-ge...
1•thm•17m ago•0 comments

Unintentional Type Theory

https://ncatlab.org/nlab/show/unintentional+type+theory
1•danny00•17m ago•0 comments

Cyril Hilsum dies at 101.He invented flat-screen displays that hold us in thrall

https://www.economist.com/obituary/2026/10/08/cyril-hilsum-invented-the-flat-screen-displays-that...
1•bookofjoe•18m ago•1 comments

The Rulers of the World Have Ticker Symbols

https://thesovereigncapitalist.io/state-capitalism-index/
1•StuntPope•20m ago•0 comments

Hoard – A game save sync and backup where 10 save of a 2 GB size cost 2 GB

https://hoard.services/
1•insaideh•20m ago•1 comments

Show HN: A fullscreen Game of Life in which every board is a runnable program

https://bobbby.online/piet/tiles
1•rhgraysonii•22m ago•0 comments

ZUMA Press

https://www.zumapress.com/aboutzuma/overview.html
1•skibz•23m ago•0 comments

Show HN: Sibuna an open source web application firewall with proof of work

https://github.com/insanai/sibuna
1•vikrantrathore•27m ago•0 comments

The engineering habits that gave Dirac an edge as a physicist

https://www.engineerhistory.com/p/the-engineering-habits-that-gave
1•tylerdane•32m ago•1 comments

Lobbying Is Corruption

https://discuss.google.dev/t/trusted-automation-with-google-antigravity-scaling-secure-finance-in...
2•thetechnogman•33m ago•2 comments

Replacing pyinstaller with 100 lines of code

https://tush.ar/post/packaged/
1•ankitg12•33m ago•0 comments

Being mean to Claude could get you banned as Anthropic introduces new rules

https://www.techspot.com/news/114153-mean-ai-could-get-you-banned-anthropic-introduces.html
1•akyuu•34m ago•0 comments

Orangutan mothers seek out playmates for young

https://www.mpg.de/27017124/orangutan-mothers-seek-out-playmates-for-young
3•gmays•36m ago•0 comments

2025-10-10 front – Hacker News

https://news.ycombinator.com/front?day=2025-10-10
1•ankitg12•36m ago•1 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.