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Part II: Is It a Flatpak? Is It an AppImage? No It's AppJail

https://www.youtube.com/watch?v=JnxoZe9pcSQ
1•DtxdF•2m ago•0 comments

'I use AI to do the things that I'm bad at': Linus Torvalds

https://www.zdnet.com/tech/linus-torvalds-ai-coding-programming/
1•naves•5m ago•0 comments

Error-correcting codes, visualized on a hypercube

https://tuebui.com/intuitive-information/hamming-hypercube/
2•bomot113•11m ago•0 comments

Only 14% of model cards mention risks

https://arxiv.org/abs/2504.08952
2•Gigacore•13m ago•0 comments

Muse Wonder Full (Max): Intelligence, Performance and Price Analysis

https://artificialanalysis.ai/models/muse-wonder-full
2•theanonymousone•14m ago•0 comments

The many faces of LLVM PGO and FDO (2023)

https://aaupov.github.io/blog/2023/07/09/pgo
1•csmantle•17m ago•0 comments

Paper Mosquito: An NE556 Atari Punk Console as a Paper Circuit

https://messopedals.com/diy/onion-madder/paper/mosquito/
1•uxamanda•17m ago•0 comments

Tyrian Purple

https://en.wikipedia.org/wiki/Tyrian_purple
1•whoishiding•19m ago•0 comments

DocCloak – Browser-Based Document Anonymizer for AI Submissions

https://github.com/WLojek/DocCloak
1•car•20m ago•0 comments

Vibe Coding, Audited: Productivity, Security, CVE Numbers Behind the Hype [video]

https://www.youtube.com/watch?v=fH2S35Nxh80
2•frag•25m ago•0 comments

Pull models in your Python script P2P with uv add pirateface

https://pirateface.co/articles/introducing-pirate-face-hub
1•dilutedh2o•26m ago•0 comments

Vi Hart's Big Navier-Stokes Post

https://www.patreon.com/vihart/posts/vi-harts-big-171939430
5•signa11•26m ago•0 comments

Chip stocks slide in wake of 'casino' comment by Broadcom boss

https://www.ft.com/content/e16f0422-cf75-4cc9-962d-4605e421dc63
1•thm•30m ago•0 comments

CVE-2026-82456: Argo CD MCP Server Kubernetes Takeover

https://apiiro.com/blog/cve-2026-82456-argo-cd-mcp-server-kubernetes-takeover/
1•wondersky•33m ago•0 comments

Styx Consulting – Cybersecurity and IT Infrastructure for SMEs

https://styxconsulting.be/
1•Sharanxxxx•34m ago•0 comments

High School Freshman Looking to Get Better at Design

https://studio-grade.vercel.app/
1•arjunkshah21•36m ago•2 comments

Show HN: Scentrail, a data explorer that keeps the reasoning behind your charts

https://scentrail.io/
2•hyojeonglee•39m ago•0 comments

Nixpkgs for the Front End Impaired

https://fzakaria.com/2026/10/12/nixpkgs-for-the-frontend-impaired
3•ghuntley•40m ago•0 comments

Same Query, Different Answer: Run-to-Run Variance in Semantic Query Processing

https://arxiv.org/abs/2610.13823
1•sbulaev•41m ago•0 comments

How to stop your brain from rotting

https://scotto.me/blog/2026-10-12-how-to-stop-your-brain-from-rotting/
3•silcoon•46m ago•0 comments

Portman – Your friendly port manager on homebrew

https://github.com/arps18/portman
2•arps18•46m ago•0 comments

LLM Agents Can Easily Tamper with Their Own Traces

https://arxiv.org/abs/2609.30266
2•Kaedon•48m ago•0 comments

Things we've learned about building AI products

https://newsletter.posthog.com/p/38-things-weve-learned-about-building
2•swolpers•49m ago•0 comments

Grace Hopper Celebration Cancelled

https://ghc.anitab.org
3•uma_ch•50m ago•0 comments

They War-Gamed Dimming the Sun. It Went Worse Than You Think

https://www.wired.com/story/they-war-gamed-dimming-the-sun-it-went-even-worse-than-you-think/
3•Teever•50m ago•0 comments

Yaks: A tiny, fast discovery tree for software teams

https://github.com/mattwynne/yaks
2•mattwynne•53m ago•1 comments

To Classify, Try a Trie Tree

https://fsdatalab.github.io/blog/ai-classification/
3•matt_d•56m ago•0 comments

Hydropneumatic Suspension

https://en.wikipedia.org/wiki/Hydropneumatic_suspension
1•Svip•58m ago•0 comments

Software engineers don't get to be Luddites about AI

https://www.seangoedecke.com/software-engineers-dont-get-to-be-luddites-about-ai/
14•vismit2000•1h ago•3 comments

Show HN: A 3D sky city where my Claude Code agents work and take coffee breaks

https://github.com/ishraq21/skyborne
1•Ishraq21•1h 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.