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Show HN: A11 – typed streams and reusable actions for agentic applications

https://a11.to
1•helenapankov•4m ago•1 comments

Boy developed "toasted skin" condition from using a laptop every day

https://arstechnica.com/health/2026/09/boy-developed-toasted-skin-condition-from-using-a-laptop-e...
1•pseudolus•5m ago•0 comments

GIMP 3.2.6 Released with Some Early Preparations Toward Eventual GTK4 Port

https://www.phoronix.com/news/GIMP-3.2.6-Released
1•Bender•5m ago•0 comments

Data races and the limits of ThreadSanitizer in C and Go

https://theconsensus.dev/p/2026/09/06/data-races-and-the-limits-of-threadsanitizer-in-c-and-go.ht...
1•eatonphil•6m ago•0 comments

Microsoft Plugs Nearly 1k Security Holes

https://krebsonsecurity.com/2026/09/microsoft-plugs-nearly-1000-security-holes/
1•Bender•7m ago•0 comments

I got GPTBot to crawl my site in 100 seconds

https://www.blackbook.dk/en/journal/ai-optimization/
1•jeppesc•9m ago•0 comments

Dopamine Sites Sell Nothing, and People Cannot Get Enough

https://www.nytimes.com/2026/09/11/world/asia/dopamine-sites-popularity.html
3•thelastgallon•9m ago•0 comments

Europe will go it alone on Venus mission after NASA yanks radar instrument

https://arstechnica.com/space/2026/09/europe-will-go-it-alone-on-venus-mission-after-nasa-yanks-r...
1•pseudolus•9m ago•0 comments

What Happened at the White House Lunch That Andreessen Says Sent Him to Trump

https://www.politico.com/news/magazine/2026/09/10/marc-andreessen-trump-biden-ai-opinion-01045516
1•wolfcola•9m ago•0 comments

Intel Xeon 600 Workstation Performance vs. AMD Threadripper 9000

https://www.phoronix.com/review/intel-xeon-600-amd-threadripper-9000
1•rbanffy•10m ago•0 comments

The Death that Would not Die

https://komando1.substack.com/p/the-death-that-would-not-die
1•inglor_cz•10m ago•1 comments

Ask HN: How do HN domain filters work?

1•behindai•11m ago•2 comments

ChatGPT invented fake police testimony in murder appeal, New Mexico high court

https://ca.finance.yahoo.com/news/chatgpt-invented-fake-police-testimony-120935613.html
1•pseudolus•11m ago•0 comments

People We Meet Along the Way

https://rinaldoj.substack.com/p/the-people-we-meet-along-the-way
1•jrinaldo68•13m ago•0 comments

Show HN: Underfiction – you direct a scene, a frontier model writes the prose

https://underfiction.com
2•snoshkar•13m ago•0 comments

Parmesan: The cheese used as bank collateral

https://english.elpais.com/lifestyle/2026-06-02/parmesan-the-cheese-used-as-bank-collateral.html
2•geox•17m ago•0 comments

Show HN: A Find My-style location game for Mumbai's potholes

https://findmypothole.com/
1•inishchith•17m ago•0 comments

Endomorphisms of affine spaces and the Jacobian problem

https://arxiv.org/abs/2609.05746
1•pred_•18m ago•1 comments

Qualcomm Talks Next-Gen Oryon CPU, Adreno GPU, and Hexagon NPU – ServeTheHome

https://www.servethehome.com/qualcomm-details-next-gen-oryon-cpu-adreno-gpu-and-hexagon-npu/
1•rbanffy•19m ago•0 comments

OpenAI Agents API, here we go, the assistant API again?

https://openai.com/index/introducing-the-agents-api
1•ltononro•20m ago•0 comments

1.1.1.1 now supports post-quantum DNSSEC, all 2,420 bytes of it

https://blog.cloudflare.com/post-quantum-dnssec-1111/
3•el_duderino•21m ago•0 comments

One in 12 New England bridges is in poor condition

https://earthsupportcorp.com/data/bridges
1•firedup•21m ago•0 comments

How to Use Cursor Projects

https://flaviocopes.com/cursor-projects/
2•ibobev•21m ago•0 comments

A deep dive into LangChain and LangGraph

https://flaviocopes.com/langchain-langgraph/
2•ibobev•22m ago•0 comments

Show HN: Free Online Bates Numbering Tool for PDFs – 100% Private and Local

https://speechtext.ai/online-bates-numbering
4•robgehring•22m ago•1 comments

Show HN: Simseeder – an MMO Roguelike where players build the game

https://simseeder.com
2•Mytrill•22m ago•0 comments

Losing control of AI is the plan – by Kelsey Piper

https://www.theargumentmag.com/p/losing-control-of-ai-is-actually
1•streptomycin•23m ago•0 comments

Nuclear War: A Scenario

https://en.wikipedia.org/wiki/Nuclear_War:_A_Scenario
1•simonebrunozzi•23m ago•0 comments

A visualization of how a codebase was produced, not who produced it

https://codecurrents.artificialfallibility.com/
1•camilochs•24m ago•0 comments

Show HN: Basketcase.shop – paste a merchant URL, an agent tries to buy something

https://basketcase.shop
2•ninjaa123•28m 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.