frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

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.

Tales from the Software Factory: The Cron and the VM

https://blog.exe.dev/cron-vs-vm
1•vinhnx•4m ago•0 comments

I built a language model out of cellular automata

https://ssenthilnathan3.github.io/blog/cellular-automata-language-model/
1•nathaah3•6m ago•0 comments

Update: Source Download – Inspect, grab assets, screenshot and record video/GIF

https://chromewebstore.google.com/detail/source-download/nockdgincmpfojabnhbofkddgcmnodpd
1•2rundev•7m ago•0 comments

Omens of Exceptional Talent

https://guzey.com/talent/
1•karakoram•7m ago•0 comments

Debian Inference Portal (Unofficial)

https://inference.debian.net/
1•selfhoster1312•8m ago•0 comments

Understanding Runtime Governance for Enterprise AI Deployment

1•thespotlessmind•9m ago•0 comments

Investigate top humanity questions with your own AI agent

https://interworky.com/
1•ahmedhussam1053•9m ago•1 comments

Can open-source prompt-injection detectors catch realistic AI agent attacks?

https://github.com/rudratoshs/buried-injections
2•northbridgedev•11m ago•0 comments

AI Passport Photo

https://www.aipassportphoto.org/
4•wsm123456•14m ago•1 comments

How to Audit an AI Agent:Time-Travel Debugging and Drift Measurement

https://medium.com/@MirArshadTalpur/how-to-audit-not-observe-an-ai-agent-time-travel-debugging-an...
1•Arshad-Talpur•14m ago•0 comments

The cost and quality frontier across 29 AI coding models

https://bito.ai/benchmarks/ai-coding-model-cost/
1•kirti_soni171•14m ago•0 comments

Inferact's Kimi K3 Megakernel hits 700 tok/s on TPU, Beating GPU

https://inferact.ai/blog/tpu-megakernels
4•xutingl•16m ago•1 comments

Europe's fastest supercomputer is finally getting its domestic silicon infusion

https://www.theregister.com/systems/2026/09/23/europes-fastest-supercomputer-is-finally-getting-i...
1•doener•16m ago•0 comments

FBI investigating hacking group's claim of breach of agent info

https://www.nbcnews.com/tech/security/fbi-investigating-hacking-groups-claim-massive-breach-agent...
1•ycombinatronics•17m ago•0 comments

Dolphin Progress Release 2609

https://dolphin-emu.org/blog/2026/09/24/dolphin-progress-report-release-2609/
1•madiling•19m ago•0 comments

Show HN: I asked 5 LLMs 10k questions and indexed every domain they cited

https://citegeo.uvansa.com
1•jhaankit373•21m ago•0 comments

Meta ditches the camera on its newest smart glasses

https://www.theverge.com/tech/999281/ray-ban-meta-audio-glasses-meta-connect-2026
4•geoffbp•24m ago•0 comments

The E-Ink Monopoly [video]

https://www.youtube.com/watch?v=3QbJ7pnc1Lc
1•trymas•26m ago•0 comments

Blink – Embeddable one-pass typed decision in 33 µs

https://github.com/sqliteai/blink
1•marcobambini•28m ago•0 comments

What Changed from GPT-3.5 to GPT-4? GPT-3.5: 0/30 Empty Nulls. GPT-4: 30/30

https://www.reddit.com/r/ArtificialInteligence/comments/1wotljm/what_changed_from_gpt35_to_gpt4_s...
2•rayanpal_•29m ago•0 comments

Steve Jobs' Full iPhone 4 Antennagate Press Conference Q&A Session

https://www.youtube.com/watch?v=BiN5ERktXz0
4•aSig•30m ago•0 comments

Can You Beat Jev?

https://antics.gg/can-you-beat-jev
1•thatslast•32m ago•0 comments

Albanese says OpenAI hacked Medicare and told Australia months later

https://www.theguardian.com/australia-news/2026/sep/24/anthony-albanese-says-openai-agent-hacked-...
1•skor•34m ago•0 comments

What's Left to Get Wrong

https://blogsh.app/posts/2026/what-s-left-to-get-wrong/
1•krab•35m ago•0 comments

Meta is making a standalone Muse AI gadget

https://www.theverge.com/tech/999750/muse-charm-meta-ai-hardware
1•arbayi•36m ago•0 comments

Mysteries of AI Generalization

https://www.astralcodexten.com/p/mysteries-of-ai-generalization
1•terryf•36m ago•0 comments

Lysios – LLM red teaming org

https://lysios.ai/
2•davedx•36m ago•0 comments

The biggest surprises from a year working at OpenAI

https://aalokpatwa.substack.com/p/one-year-at-openai
1•mji•37m ago•0 comments

Ways to Encrypt Data on Servers

https://lwn.net/Articles/1092553/
1•DavideNL•40m ago•0 comments

C-to-Rust Fallacy: Automatic Refactoring != Memory Security

https://arxiv.org/abs/2609.25682
3•sbulaev•41m ago•0 comments