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Beauty Is Everywhere. But What Is It For?

https://thereader.mitpress.mit.edu/beauty-is-everywhere-but-what-is-it-for/
1•the-mitr•1m ago•0 comments

Notes on a recent claim that a mceliece348864 distinguisher uses only 2^529 ops [pdf]

https://classic.mceliece.org/mceliece-529-20250417.pdf
1•wslh•2m ago•0 comments

Show HN: Kupe Cloud – the assembled Kubernetes platform

https://kupe.cloud/
1•bwlkr•2m ago•0 comments

LiteLLM supply chain attack started with an exposed master key

https://www.theregister.com/security/2026/10/26/litellm-supply-chain-attack-started-with-an-expos...
1•clarionbell•2m ago•0 comments

Show HN: FoundationForecast: unified API for time series foundation models

https://github.com/TimeCopilot/foundationforecast
1•azulgarzar•5m ago•0 comments

Show HN: SSH and SFTP client built with GPUI

https://github.com/mousEHEHE/flint-gpui
1•mouseehehe•5m ago•0 comments

Show HN: AI Compute Footprint (energy, space, water and CO2)

https://heyyeah.github.io/AI_Compute_Footprint/
1•heyyeah•6m ago•0 comments

Solid-state transformers could help power the AI boom

https://www.technologyreview.com/2026/10/27/1147684/solid-state-transformers/
1•joozio•7m ago•0 comments

SDL's Claude.md

https://github.com/libsdl-org/SDL/blob/main/CLAUDE.md
2•sergiogdr•8m ago•0 comments

Officially corrected errors persist in AI training data

https://zenodo.org/records/23642239
2•yolinecomtet•8m ago•0 comments

Show HN:reparticle GPU particle effects defined in JSON, with PixiJS integration

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1•saqsun•9m ago•0 comments

Show HN: Rising Hat – A community website for authors and readers

https://risinghat.com
4•surabhigupta123•9m ago•0 comments

Apple releases iOS and macOS 27.2 with new Siri AI features, new Music logo

https://arstechnica.com/apple/2026/10/apple-releases-ios-and-macos-27-2-with-new-siri-ai-features...
2•rbanffy•9m ago•0 comments

Open AI vs. frontier models: the hidden cost of your data (2026)

https://lucasaguiar.xyz/posts/modelos-ia-abertos-vs-fronteira-dados-2026/
2•isfttr•10m ago•0 comments

BYU's Fossil Vending Machine

https://svpow.com/2026/10/03/byus-fossil-vending-machine/
1•surprisetalk•10m ago•0 comments

Dockerless Serverless GPUs: How I Built a Fast, Cheap AI SaaS with RunPod Flash

https://codingcat.dev/post/dockerless-serverless-gpus-fast-cheap-ai-saas-with-runpod-flash
1•codercatdev•17m ago•0 comments

Life After Death?

https://pudding.cool/2026/10/lifeafter/
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colorForth

https://en.wikipedia.org/wiki/ColorForth
1•tosh•20m ago•0 comments

Show HN: Statespace – learn formal methods by building a tiny checked language

https://statespace.play.naigap.com/
1•praveer13•20m ago•0 comments

Show HN: I built a tool to audit Shopify stores for AI agent and Google Shopping

https://catalogaudit.app/
1•emirhanozsoy•28m ago•2 comments

Microsoft Office 2021 Perpetual License Disabled After Software Update

https://learn.microsoft.com/en-us/answers/questions/6048787/microsoft-office-2021-perpetual-licen...
4•nialse•32m ago•2 comments

Optimization Algorithms Labs

https://optimization-algorithms-book.github.io/Code-Listings/#labs
1•saikatsg•34m ago•0 comments

Gram 3.4.0 Released

https://gram-editor.com/posts/release-3.4.0/
2•birdculture•36m ago•0 comments

Software may be getting worse, but it used to be horrible

https://www.bitlog.com/2026/10/27/software-may-be-getting-worse-but-it-used-to-be-horrible/
41•jakevoytko•39m ago•13 comments

Declarative Network Configuration for Hosts

https://github.com/os-net-config/os-net-config
1•ankitg12•41m ago•0 comments

Intel to Acquire Startup Classiq in Quantum Computing Push

https://www.bloomberg.com/news/articles/2026-10-26/intel-to-buy-israeli-startup-classiq-in-quantu...
2•ronfriedhaber•42m ago•0 comments

Moxnox: NT-Like, POSIX-Compatible Hobby OS Running Atop Btrfs

https://www.phoronix.com/news/Moxnox-OS
1•maharmstone•45m ago•0 comments

Show HN: Tinyjobs – Python background jobs and cron on SQLite, optional brokers

https://github.com/Piergiuseppe/tinyjobs
2•TheBuc•47m ago•2 comments

iPhone Lockdown Mode: What It Blocks and What Breaks

https://privateorchards.com/blog/lockdown-mode-iphone/
1•quietfruit•48m ago•0 comments

What an External Vulnerability Scan Checks

1•secusy_asv•48m 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.