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Comment by edent: "The file manager in" Kodi "works seamlessly with NFS." (2017)

https://old.reddit.com/r/androidapps/comments/7edgah/app_or_method_to_connect_to_nfs_shares/
1•sipofwater•1m ago•0 comments

Show HN: I built an app to validate ideas. The internet decides if it's shit

https://shitorship.com
1•danielkempe•1m ago•0 comments

Second-order cybernetics

https://en.wikipedia.org/wiki/Second-order_cybernetics
1•Gormisdomai•6m ago•0 comments

India's government plans to launch zero-commission rideshare platform

https://www.theregister.com/2025/12/04/bharat_taxi_india_challenges_uber/
2•samizdis•6m ago•0 comments

Tunnl.gg

https://tunnl.gg
2•klipitkas•7m ago•1 comments

Show HN: I built a free security scanner for your domain

https://deft.is/
1•539hex•7m ago•0 comments

Playing with the Gamepad API

https://alvaromontoro.com/blog/68044/playing-with-the-gamepad-api
1•tosh•8m ago•0 comments

High fidelity check for Next.js/RSC RCE (CVE-2025-55182 and CVE-2025-66478)

https://slcyber.io/research-center/high-fidelity-detection-mechanism-for-rsc-next-js-rce-cve-2025...
1•infosecau•9m ago•0 comments

Tom Cruise's case for embodied knowledge

https://www.metropolitanreview.org/p/the-last-useful-man
1•tollandlebas•12m ago•0 comments

Unreal Tournament 2004 is back

https://old.reddit.com/r/unrealtournament/comments/1pdbe69/breaking_unreal_tournament_2004_is_back/
5•keithoffer•17m ago•0 comments

Programming Peaked

https://functional.computer/blog/programming-peaked
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Wayland Nvidia: Your Complete 2025 Fix for a Broken Desktop

https://kextcache.com/wayland-nvidia-a-definite-2025-guide/
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How an invasion of purple flowers made Iceland an Instagram paradise

https://www.theguardian.com/environment/2025/dec/04/invasive-species-flowers-iceland-nootka-lupin...
2•n1b0m•23m ago•0 comments

One prompt 100 men vs. 1 gorilla ThreeJS game with Gemini 3 Pro

https://twitter.com/kuberwastaken/status/1996518025051390387
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Australia says world will follow social media ban as Meta starts blocking teens

https://www.reuters.com/world/asia-pacific/australia-says-world-will-follow-social-media-ban-meta...
5•TechTechTech•24m ago•5 comments

Livestream: MEPs Question Commissioner Brunner on Chat Control

https://multimedia.europarl.europa.eu/en/webstreaming/libe-committee-meeting_20251204-0900-COMMIT...
3•latexr•24m ago•1 comments

Conversational Networks

https://arxiv.org/abs/2503.11714
1•asim•25m ago•0 comments

Autonomous AI Agents: Core Foundations and Recent Breakthroughs

https://lambpetros.substack.com/p/the-agent-revolution
1•speiroxaiti•26m ago•0 comments

Nature's Drug Database

https://www.worksinprogress.news/p/natures-laboratory
1•bensouthwood•26m ago•0 comments

OpenAI acquired AI training monitor Neptune

https://neptune.ai/blog/we-are-joining-openai
2•stared•27m ago•0 comments

Best Anonymous Payment Methods 2025

https://cloudexplorer.ai/anonymous-payment-methods/
2•kinoriw•33m ago•0 comments

Jetpack Compose now matches Views performance in scroll benchmarks

https://android-developers.googleblog.com/2025/12/whats-new-in-jetpack-compose-december.html
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People Are Uploading Their Medical Records to A.I. Chatbots

https://www.nytimes.com/2025/12/03/well/medical-records-chatbots.html
3•thm•41m ago•0 comments

It's not always icache: performance of inline functions

https://matklad.github.io/2021/07/10/its-not-always-icache.html
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Software Developers Are a Dying Breed

https://x.com/compose/articles/edit/1995811328556924928
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Modern Self-Service Platform

https://flowctl.net/
1•leonjza•43m ago•0 comments

Replacing Attention to Phase-Locking to Overcome Catastrophic Forgetting [pdf]

https://arxiv.org/abs/2512.01208
1•Yujivus•46m ago•1 comments

Automate Claude Code

https://github.com/neichler-digital/automate-claude
1•timeyyy3•47m ago•0 comments

AI bubble a "key downside risk" to U.S. economy, OECD warns

https://www.axios.com/2025/12/02/ai-bubble-stock-market-forecast-oecd
4•zerosizedweasle•49m ago•0 comments

Euro zone business activity expands at fastest pace in 30 months in November

https://www.reuters.com/world/europe/euro-zone-business-activity-expands-fastest-pace-30-months-n...
1•doener•56m ago•0 comments
Open in hackernews

GPT needs a truth-first toggle for technical workflows

1•PAdvisory•6mo 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•6mo 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•6mo 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__•6mo 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.