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SKKU Researchers Develop Catalyst to Convert CO2 into Ethanol Using Electricity

https://www.asiaresearchnews.com/content/skku-researchers-develop-new-catalyst-convert-carbon-dio...
1•rguiscard•27s ago•0 comments

Pull contents from any page via API and avoid Same-origin policy problems

https://allorigins.win/
1•chenster•2m ago•0 comments

Cloudflare OS is an architecture of distrust

https://lord.technology/2026/08/05/cloudflare-os-is-an-architecture-of-distrust.html
1•elicash•2m ago•0 comments

The Aviation Herald was sued

https://avherald.com/h?article=53c8958a&opt=0
2•gilthelander•4m ago•0 comments

Better Founder Vishal Garg Exits CEO Role; Daniel Lewis Named Interim CEO

https://nationalmortgageprofessional.com/news/better-founder-vishal-garg-exits-ceo-role-daniel-le...
1•doppp•4m ago•0 comments

Retire the Abstractions

https://hazyresearch.stanford.edu/blog/2026-08-05-retire-the-abstractions
1•convexstrictly•4m ago•0 comments

Show HN: Incconutwo – Open-source portfolio with Three.js liquid shaders

https://incconutwo.com/
1•incconutwo•5m ago•0 comments

Atlantic hurricane season is looking like a dud

https://arstechnica.com/science/2026/08/this-atlantic-hurricane-season-is-looking-like-a-dud-but-...
1•susiecambria•13m ago•0 comments

Label your AI writing as AI writing

https://www.raymondyxu.com/blog/labelYourAIWritingAsAIWriting
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The Marpa Parser

https://jeffreykegler.github.io/Marpa-web-site/
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Extreme Privacy, or stay like everyone else?

https://qlain.online/blog/extreme-privacy
2•etoql•17m ago•0 comments

Ask HN: What Is Intelligence?

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Good Evals Are Boring

https://langfuse.com/academy/evaluate/writing-evaluators
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The End of Critical Thinking and Rise of Collective Stupidity – Carlo Cipolla

https://www.youtube.com/watch?v=RQ1jkLgjFq4
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The Essential Question: "What should I read next?"

https://thenewcuriosityshop.substack.com/p/the-essential-question
1•benbreen•21m ago•0 comments

An AI model from Meta also hacked another company during testing

https://www.cnn.com/2026/08/05/tech/meta-ai-hacking
1•simonw•22m ago•0 comments

LFM2.5-Encoders for Fast Long-Context Inference on CPU

https://huggingface.co/blog/LiquidAI/lfm2-5-encoders
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COVID can wake up a slew of dormant viruses inside you

https://www.nature.com/articles/d41586-026-02443-2
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Free-Living Cells May Have Emerged Twice as Bacteria and Archaea Diverged

https://phys.org/news/2026-08-life-free-cells-emerged-bacteria.html
2•jandrewrogers•25m ago•0 comments

How to Give AI Agent a Memory That Survives the Session

https://medium.com/@vektormemory/how-to-give-ai-agent-a-memory-that-survives-the-session-116f69c2...
1•vektormemory•26m ago•0 comments

Support queue is a documentation audit

https://www.knowledgeowl.com/blog/posts/support-queue-as-docs-audit
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ATS Job API Reference: nine applicant tracking systems, verified live

https://conorscode.github.io/ats-api-reference/
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Is M365 Copilot sending some prompts to Anthropic?

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We spend $45,000 on doing more weird every month

https://posthog.com/blog/on-doing-more-weird
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4 Fundamental constants reveal minimum scales where physics ends: Planck scale

https://www.youtube.com/watch?v=IPnmssrwGcg
1•lioeters•32m ago•0 comments

What I think about when I edit blog posts

https://ianv.substack.com/p/what-i-think-about-when-i-edit-blog
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Generalized Consensus: An Alternate Approach to Distributed Durability (2025)

https://multigres.com/blog/generalized-consensus
1•zX41ZdbW•33m ago•0 comments

OpenAI gives first detailed debrief of the Hugging Face incident at Black Hat

https://www.groundlevel-ai.com/p/openai-gives-first-detailed-debrief
2•josephwegner•38m ago•2 comments

Proposing a new lower bound for n=17 square packing problem

https://twitter.com/samb_tech/status/2085158495569977636
2•sam-bee•43m ago•1 comments

The Planck Scale with Countable Measure for All Quantities of Length and Time

https://vixra.org/abs/2212.0215
1•lioeters•45m 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.