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What I learned about founder-market fit

https://zlatkov.substack.com/p/what-i-learned-about-founder-market
1•zlatkov•1m ago•0 comments

Tacoma Narrows Bridge History – Bridge – Lessons from Failure

https://wsdot.wa.gov/tnbhistory/bridges-failure.htm
1•mkl95•1m ago•0 comments

Did your car witness a crime? Police may be coming for your Tesla

https://www.sfchronicle.com/crime/article/tesla-sentry-mode-police-evidence-19731000.php
1•firefoxd•1m ago•0 comments

When skilled immigrants are overqualified, employers pay a price too

https://theconversation.com/when-skilled-immigrants-are-overqualified-employers-pay-a-price-too-2...
2•rustoo•6m ago•0 comments

Continuous Diffusion Language Models (CDLM's)

https://sander.ai/2026/08/24/continuous-dlms.html
1•peter_d_sherman•9m ago•0 comments

Log-First or Table-First? Apache Kafka, Fluss, & Streaming Tables

https://softwaremill.com/log-first-or-table-first-apache-kafka-fluss-and-streaming-tables/
1•mmatloka•15m ago•0 comments

Change Impact Analyzer – see what your edit breaks (Tree-sitter+LSP)

https://marketplace.visualstudio.com/items?itemName=AniqUsman.change-impact-analyzer
1•thespicyavocado•17m ago•0 comments

A Manager Asked How to Tell His Report to "Get a Life" [video]

https://www.youtube.com/watch?v=JN8CkCGGRzo
2•bigtechtea•17m ago•1 comments

Asahi Linux: Initial USB4/Thunderbolt Support for M1/M2/M3 on LKML

https://social.treehouse.systems/@sven/117186314116319619
3•pizzaiolo•18m ago•0 comments

Reactions To: The Rise and Fall of Agent Civilizations

https://twitter.com/dwarkesh_sp/status/2093833419377815719/quotes
1•rzerowan•18m ago•1 comments

Critical CVE: JFrog Artifactory Authentication Bypass

https://www.cve.org/CVERecord?id=CVE-2026-82329
2•mellosouls•19m ago•0 comments

Eco Ur Fascism [pdf]

https://dn710209.ca.archive.org/0/items/eco_ur-fascism/eco_ur-fascism.pdf
2•oriettaxx•20m ago•0 comments

D1 Migration Guard – zero-dep safety checks before wrangler d1 migrations apply

https://github.com/MattBridges/d1-migration-guard
1•UFSoftware76•21m ago•0 comments

AI and the Death of Expertise: Why Experts Still Matter

https://www.inc.com/louise-allen/ai-and-the-death-of-expertise-why-experts-still-matter/91395208
1•prabal97•21m ago•0 comments

IKEA Hackers

https://ikeahackers.net
1•als0•23m ago•0 comments

Show HN: ShaderToyX

https://github.com/vinay/ShaderToyX
1•vmmenon•31m ago•0 comments

Show HN: Bill fans per post, not per month

https://folloverse.com/
2•wowinter15•32m ago•0 comments

Making the Internet Boring

https://cemrehancavdar.com/2026/08/30/making-the-internet-boring/
1•zdw•35m ago•0 comments

Game of Life Tower

https://notes.jordanscales.com/gol-tower
1•syx•36m ago•0 comments

Ask HN: What do you use to host side projects?

2•ilmak1704•37m ago•2 comments

Upround – paper trade YC startups

https://upround.app/
3•jeremykalfus•38m ago•0 comments

Texas Senate hopeful Talarico teams with Mark Cuban to breakup healthcare

https://www.cnbc.com/2026/08/27/texas-senate-james-talarico-mark-cuban-healthcare.html
3•rawgabbit•39m ago•0 comments

I Use Claude Code on an Unfamiliar Codebase

https://thetechbuffet.substack.com/p/claude-code-on-an-unfamiliar-codebase
1•ahmedbesbes•39m ago•0 comments

Ask HN: Is Paul Graham right that you shouldn't build startups at 17?

1•AmirMakirr•44m ago•2 comments

ATF's Breached System Was Isolated. Its IT Management Workforce Fell 25%

https://www.federalhiringdata.com/articles/atf-major-data-breach-cyber-workforce-2026
1•ycombinatronics•44m ago•0 comments

Chrome Web Store extensions caught stealing crypto, browser data

https://www.bleepingcomputer.com/news/security/chrome-web-store-extensions-caught-stealing-crypto...
2•sbulaev•49m ago•0 comments

No agents after 8 pm

https://sparsethought.com/2026/08/19/no-agents-after-8pm/
2•galsapir•49m ago•0 comments

Photon Frames – The digital photo frame for Synology Photos and Immich

https://photonframes.com/
1•evo_9•51m ago•0 comments

Google Maps Will Show 'Lake America' in US, Not 'Lake Ontario'

https://www.reuters.com/world/us/google-maps-will-show-lake-america-us-not-lake-ontario-2026-08-30/
4•geox•51m ago•1 comments

The XGBoost Vector-Leaf Model

https://xgboost.ai/2026/08/25/introducing-the-xgboost-vector-leaf-model
2•theanonymousone•53m 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.