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Show HN: AI Page Inspector – See what ChatGPT reads from your site

https://aiseotracker.com/page-inspector
1•illyism•49s ago•0 comments

MNT September 2025 Update

https://mntre.com/media/reform_md/2025-09-30-september-update.html
1•todsacerdoti•3m ago•0 comments

Are Carbon Offsets Fixable? – Annual Reviews

https://www.annualreviews.org/content/journals/10.1146/annurev-environ-112823-064813
1•janandonly•4m ago•0 comments

Show HN: Test JSDoc examples with any test runner, no more outdated doc

https://sacdenoeuds.github.io/generate-jsdoc-example-tests/2025-04-announcement.html
1•sacdenoeuds-dev•5m ago•0 comments

Former Intel CEO Pat Gelsinger: 'Of Course' We're in an AI Bubble

https://www.youtube.com/watch?v=BzKKMH2S06Y
1•doener•5m ago•0 comments

Steve Jobs and Cray-1 to be featured on 2026 American Innovations $1 coin

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1•maguay•6m ago•0 comments

Rice weevil on a grain of rice wins 2025 Nikon Small World contest

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Who Owns AI Visibility?

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1•businessmate•18m ago•1 comments

Inside The Kill Zone

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1•colonCapitalDee•25m ago•0 comments

Paxos mistakenly mints $300T PYUSD on Ethereum, citing tech error

https://www.theblock.co/post/374870/paxos-mistakenly-mints-300-trillion
2•thm•25m ago•0 comments

With Firefox 144 release, all major browsers now support View Transitions API

https://www.firefox.com/en-US/firefox/144.0/releasenotes/
1•vidyesh•31m ago•0 comments

Billions in private cash is flooding into fusion power. Will it pay off?

https://theconversation.com/billions-in-private-cash-is-flooding-into-fusion-power-will-it-pay-of...
1•defrost•32m ago•0 comments

Upcoming Rust language features for kernel development

https://lwn.net/Articles/1039073/
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San Francisco opposes 'authoritarian crackdown' as Trump threatens

https://www.theguardian.com/us-news/2025/oct/15/san-francisco-trump-national-guard-troops
1•mitchbob•33m ago•0 comments

QNX Resource Manager in Rust: Message Passing and Resource Managers

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Agentic AI for Model-Based Engineering: How Dyad Ensures Correctness

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Ask HN: Anyone hiring remotely in Europe ?

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Ask HN: What's the product Coinbase is selling?

1•tzury•40m ago•1 comments

AI might be creating underclass, but makers of tech bubble are replaceable

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LPR Maps – Community Map of License Plate Readers

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Artificial Pokemon Intelligence in the PokeAgent Challenge

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Limited Edition BttF Casio Calculator Watch

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When You Get to Be Smart Writing a Macro

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Farming Hard Drives (2012)

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Palestinian bodies returned by Israel show signs of torture and execution

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Path Cleared for Nix Package Manager on Fedora

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Opinion piece: On Zig (and the design choices within)

https://blueberrywren.dev/blog/on-zig/
3•borjs•58m ago•0 comments

New coding models and integrations

https://ollama.com/blog/coding-models
37•meetpateltech•58m ago•12 comments

I built an open-source, real-time MQTT viewer for UNS

https://github.com/slalaure/mqtt_uns_viewer
2•slalaure•1h ago•0 comments
Open in hackernews

GPT needs a truth-first toggle for technical workflows

1•PAdvisory•4mo 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•4mo 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•4mo 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__•4mo 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.