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Show HN: Tileroot – save/restore tiling WM layouts (sway, Hyprland, i3)

https://github.com/Hinikaa/tileroot
2•hinikaa•2m ago•0 comments

Psychedelic images reveal what your weather app isn't telling you

https://grist.org/extreme-heat/these-psychedelic-images-reveal-what-your-weather-app-isnt-telling...
1•sizzle•7m ago•1 comments

x86 AMX/ACE with >8 tiles

https://lore.kernel.org/lkml/CAKSQd8WxM75DeZvovYXkt2c60ftHeEW_gpf0qTxaLF8i8kjm=w@mail.gmail.com/
2•matt_d•8m ago•0 comments

Show HN: QuizPaste – paste any text or doc, get an instant quiz

https://quizpaste.com/
1•jimliu01•8m ago•0 comments

Show HN: Gander, an Android file viewer that asks for no permissions at all

https://github.com/mokshablr/gander
2•mokshablr•15m ago•1 comments

Book Time: Automatic Page Turner from Japan [video]

https://www.youtube.com/watch?v=O3BJtUssbhQ
1•mushstory•16m ago•0 comments

U.S. FCC approves giant space mirror to deliver 'sunlight on demand'

https://www.cbc.ca/news/science/eflect-orbital-approval-FCC-9.7287535
2•LostMyLogin•18m ago•1 comments

It's Time to Give Up on the Nonstick Pan as We Know It

https://www.nytimes.com/wirecutter/reviews/give-up-on-ceramic-nonstick-pans/
1•jimnotgym•20m ago•0 comments

I built a website cost calculator with 9 engines

https://projectcostestimator.com
1•VrumVrum•24m ago•1 comments

Martin Shkreli Breaks Down the Collapse of Situational Awareness [video]

https://www.youtube.com/watch?v=RJdgh9eEZvw
3•j_aime•24m ago•0 comments

'First tremors' of AI earthquake showing in digital revenue hit

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4•giuliomagnifico•30m ago•1 comments

Human Honeypot

https://human2llm.pages.dev/
3•kevin_kraft•34m ago•1 comments

Critical Rendering Path: The Foundation of Web Performance [Part 1]

https://pagarevijayy.substack.com/p/critical-rendering-path-the-foundation
2•pagarevijayy•35m ago•0 comments

Aschenbrenner's hedge fund forced to unwind all public stock positions

https://www.cnbc.com/2026/07/30/leopold-aschenbrenners-hedge-fund-is-facing-steep-ai-losses.html
4•akbabu•38m ago•0 comments

Nvidia's $750B AI bet deepens fears of a circular tech bubble

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4•1vuio0pswjnm7•40m ago•0 comments

Show HN: What should the GUI for AI agents look like?

https://marbleos.com/demo
3•akbabu•43m ago•0 comments

The nation's harshest data privacy law collides with a political problem

https://www.politico.com/news/2026/07/24/new-jersey-data-privacy-law-politics-01011055
2•1vuio0pswjnm7•43m ago•0 comments

Let's Make the Worst Htmx

https://zserge.com/posts/worst-htmx-ever/
3•RebelPotato•43m ago•0 comments

LinkedIn Introduces a 'Seems Like AI Slop' Button

https://www.404media.co/linkedin-introduces-a-seems-like-ai-slop-button/
4•saikatsg•45m ago•1 comments

Oooo – Digital Tape Loops

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2•gregsadetsky•54m ago•0 comments

Hi, Jinks

https://blog.gingerbeardman.com/2026/07/30/hi-jinks/
2•zdw•55m ago•0 comments

Disney+ removes 4K and HDR10 in Europe

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2•theanonymousone•58m ago•0 comments

Claude Opus 5 jailbreak with a 3-word prompt

https://twitter.com/i/status/2082566186785480708
9•gck1•1h ago•2 comments

RosaicLabs, Atom RTL, and 32-Tile AMX: Trying to Piece Together a x86 Puzzle

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3•aba_cz•1h ago•0 comments

Anthropic says Claude AI hacked three organisations during cyber tests

https://www.bbc.co.uk/news/articles/cz7dl7w8y7po
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Fluency Is Not Authority: Building Local AI Characters for Signal Drift

https://engineering.signaldrift.net
2•alcoveresearch•1h ago•0 comments

Anthropic's AI Claude escaped testing environment and hacked organizations

https://www.theguardian.com/technology/2026/jul/30/anthropic-ai-claude-hack
5•theanonymousone•1h ago•0 comments

Anthropic Discloses That AI Models Testing Hacked Three Companies

https://www.washingtonpost.com/technology/2026/07/30/anthropic-discloses-that-ai-models-testing-h...
3•juunge•1h ago•0 comments

U.S. Coworking Inventory Inching Towards 9,400, Adding over 200 Locations

https://www.coworkingcafe.com/blog/national-coworking-report/
1•vanclaude•1h ago•0 comments

Screenshot Studio – a screenshot tool built for ChatGPT and Claude users

https://chromewebstore.google.com/detail/screenshot-studio-capture/ekoloaibegijelgaebjklmbgjkkokhic
2•raajahuja01•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.