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Django in TypeScript. Thanks Fable

https://github.com/bryanhoulton/tango
1•m0hit•2m ago•0 comments

OpenAI discontinues standalone browser ChatGPT Atlas in favor of new ChatGPT app

https://help.openai.com/en/articles/20001275-chatgpt-work-and-codex
1•thoughtpeddler•4m ago•0 comments

Star Just Ate a Planet, and It's Not Done Yet

https://www.nytimes.com/2026/07/09/science/space/planetary-engulfment-hungry-star.html
1•wglb•6m ago•0 comments

Why Do Some Soccer Players Cut the Heels Off Their Cleats?

https://www.wired.com/story/why-do-some-soccer-players-cut-the-heels-off-their-cleats/
1•littlexsparkee•10m ago•0 comments

Unveiling the Mysteries of Chimichurri: The Ultimate Guide to a Culinary Delight

https://churrascos.com/unveiling-the-mysteries-of-chimichurri/
1•Cider9986•10m ago•0 comments

Fidji Simo Leaves OpenAI

https://twitter.com/fidjissimo/status/2075353170927304861
2•doppp•12m ago•0 comments

Ask HN: Thoughts on AI in Personal Finance?

1•foxtrot8672•14m ago•1 comments

Show HN: Selvedge – long-term memory for AI-coded codebases

https://selvedge.sh/
1•masondelan•15m ago•0 comments

Russia bans diesel exports after Ukrainian attacks, straining global market

https://www.cnn.com/2026/07/09/business/russia-diesel-ban-ukrainian-strikes-intl
1•breve•22m ago•0 comments

What Happens When the Public Record Shrinks

https://www.theatlantic.com/newsletters/2026/07/trump-administration-public-record-data-holes/687...
1•paulpauper•23m ago•0 comments

Childhood and Education #20: Phones and Screens

https://thezvi.substack.com/p/childhood-and-education-20-phones
1•paulpauper•25m ago•0 comments

AI #176 Part 1: Doing It Live

https://thezvi.substack.com/p/ai-176-part-1-doing-it-live
1•paulpauper•26m ago•0 comments

Show HN: Fortress – Give your agents unlimited access to the web

6•armanluthra_•29m ago•1 comments

Ambient Website Background Clouds

https://github.com/paradise-runner/background-clouds
1•dividedcomet•36m ago•0 comments

I Made a JavaScript Obfuscater

https://potassiumv1.netlify.app/
1•ImOnHere•39m ago•0 comments

Command and Conquer: Red Alert Mac/Android/iOS ported using Codex

https://github.com/dk8827/ra-port
1•bananaboy•41m ago•1 comments

UST is bringing Claude to physical AI

https://www.anthropic.com/news/ust-claude
1•surprisetalk•41m ago•0 comments

China's giant Gobi solar plant runs after dark on salt, not batteries

https://electrek.co/2026/07/09/china-hami-solar-molten-salt-storage/
1•Bender•42m ago•0 comments

LibreOffice 26.8 Beta Released for Improving This Free Software Office Suite

https://www.phoronix.com/news/LibreOffice-26.8-Beta-1
3•Bender•42m ago•1 comments

Linux Prepares for New USB-C Security Feature on Lenovo ThinkPads

https://www.phoronix.com/news/ThinkPad-USB-C-Restricted-Mode
2•Bender•43m ago•0 comments

Phone on Feminism

https://conversationalist.org/2019/09/13/feminism-explains-our-toxic-relationships-with-our-smart...
5•cratermoon•43m ago•2 comments

Karl Sims – Liquid Selves (1992)

https://www.karlsims.com/liquid-selves.html
1•connorboyle•44m ago•0 comments

Focus

https://boz.com/articles/focus
3•iacguy•45m ago•0 comments

Building an AI legal companion for domestic and sexual violence survivors

https://apps.apple.com/us/app/lea-by-legali-ai/id6759547127?see-all=reviews&platform=iphone
1•irawati_puteri•53m ago•1 comments

Volkswagen to Slash Half Its Models as Sales Fall

https://www.nytimes.com/2026/07/09/business/volkswagen-china-sales.html
3•bookofjoe•54m ago•2 comments

Stack Rankings: A Comprehensive Guide

https://www.thehumancapitalhub.com/articles/stacked-rankings-a-comprehensive-guide
1•akkartik•57m ago•0 comments

Can A.I. Keep a Parent Alive?

https://www.newyorker.com/news/as-told-to/can-ai-keep-a-parent-alive
1•petethomas•1h ago•0 comments

Study: "Mommy, do you love your phone more than me?"

https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2026.1766665/full
2•hbcondo714•1h ago•0 comments

Show HN: I built a free app for New Yorkers to save money on groceries

https://sbnyc.app/
9•eli_yumnik•1h ago•3 comments

Fraym – AI that creates product demo videos for you

https://tryfraym.com
1•jrud•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.