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Virtual Oxide Labs: Emulating a Full Oxide Rack

https://oxide.computer/blog/voxel-labs
1•tosh•32s ago•0 comments

Container ship sinks in Strait of Hormuz as Iran steps up attacks

https://www.cnbc.com/2026/10/14/container-ship-sinks-strait-hormuz-as-iran-war-attacks.html
1•MilnerRoute•1m ago•0 comments

Through the Visual Language of AI

https://blog.criti.ca/posts/through-the-visual-language-of-ai
1•microsoftedging•1m ago•0 comments

A Turing Test for Physical Engineering

https://www.spectrallabs.ai/research/cswp-turing-test
1•kmavm•2m ago•0 comments

Reverse-Engineered: search 10k open-source tools

http://awesome.alexgaoth.com/
1•alexgaoth•3m ago•0 comments

Pragmatic Magic in Rust

https://ahl.dtrace.org/2026/10/11/pragmatic-magic-in-rust/
1•mooreds•3m ago•0 comments

Googlebook OS Magisk demo shows root access could be much easier than thought

https://www.androidauthority.com/googlebook-os-magisk-root-demo-3722998/
1•Markoff•5m ago•0 comments

Cerebras CEO pushes back on AI doomsday warnings

https://techcrunch.com/2026/10/13/cerebras-ceo-pushes-back-on-ai-doomsday-warnings/
1•joebuckwilliams•5m ago•0 comments

High-CRI LED Lighting

https://en.wikipedia.org/wiki/High-CRI_LED_lighting
1•tosh•5m ago•0 comments

Europe's leaders abandon the race for frontier AI

https://www.politico.eu/article/europe-ai-strategy-frontier-models-us-china/
2•miohtama•6m ago•0 comments

How to Host a Blog for Free in 2026 (Astro and Cloudflare Pages)

https://codex-blog-6v6.pages.dev/blog/free-blog-hosting-2026/
2•speckx•7m ago•0 comments

The Rise of In-Office Remote Work

https://www.theatlantic.com/ideas/2026/10/in-office-remote-work/688993/
1•tekdude•8m ago•0 comments

I spent 48 hours in SF hanging out with billionaires, data labs and AI execs

https://twitter.com/gregisenberg/status/2110414696037716372
2•bigwheels•9m ago•0 comments

Cal Newport: The AI Industry Is Betting on the Wrong Kind of AI [video]

https://www.youtube.com/watch?v=WuIITyh_Q4g
1•ptrhvns•10m ago•0 comments

I Hacked My Smart Lights and Things Got Way Out of Hand

https://blog.shravanrevanna.me/i-hacked-my-smart-lights-and-things-got-way-out-of-hand
1•CharlesW•12m ago•0 comments

Designing Protein Structures from Natural Language

https://arxiv.org/abs/2610.13917
1•flobosg•12m ago•0 comments

Show HN: Collaborative money tracker, E2E encryption, MCP

https://finance.rivaire.pro/demo
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NeuralType: A Post-OpenType Font Format

https://elih.net/blog/neuraltype/
2•epestr•15m ago•0 comments

Peace-Energy Hub – Open-Source Autonomous Energy Corridor Framework

https://github.com/marcelcluj-bit/Peace-Energy-Hub--Eurasian-Corridor
1•marcelcluj2026•15m ago•0 comments

Arch-Specific SIMD in Go

https://go.dev/blog/archsimd
1•tosh•16m ago•0 comments

A love letter to a simpler time – web archeology with Claude

https://www.darkmirage.com/2026/10/15/a-love-letter-to-a-simpler-time/
1•darkmirage•18m ago•1 comments

Russia's internet shutdowns push state firms back to landline phones

https://www.euronews.com/2026/10/14/russias-internet-shutdowns-push-state-firms-back-to-landline-...
3•billybuckwheat•18m ago•0 comments

AnyRank: Reliable Anytime Policy Ranking via Sequential Testing

https://arxiv.org/abs/2610.14603
1•gmays•18m ago•0 comments

North. focus and distraction blocker Chrome extension

https://chromewebstore.google.com/detail/north-focus-distraction-b/bbfpkfifjmcebiobbmfhdgpnclegaedo
1•jaitenk•19m ago•0 comments

Tugz: New deflate library with three applications

https://nullprogram.com/blog/2026/10/13/
1•ingve•21m ago•0 comments

Kubernetes Rightsizing: Which Requests to Change, and When Not To

https://radarhq.io/blog/kubernetes-rightsizing-requests
1•royLsky•21m ago•0 comments

Arguments About AI Consciousness Remain Highly Motivated and Overconfident

https://thezvi.wordpress.com/2026/10/13/arguments-about-ai-consciousness-remain-highly-motivated-...
1•gmays•23m ago•0 comments

Mexico orders tech giants to protect kids and teens from harmful online content

https://www.independent.co.uk/news/world/americas/mexico-social-media-streaming-violent-sexual-co...
1•aylmao•23m ago•0 comments

Ukrainian officers warn Starlink slowdown comparable to a nuclear strike

https://www.politico.eu/article/ukraine-starlink-restrictions-disrupt-drone-strikes/
2•doener•24m ago•0 comments

Where AI slop comes from, and how to turn it down inside the model

https://100toolkit.com/blog/where-ai-slop-comes-from/
1•possiblelion•24m 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.