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Sources: Gordie Howe Bridge ribbon-cutting to take place Friday

https://www.freep.com/story/news/local/michigan/detroit/2026/06/08/gordie-howe-international-brid...
1•cf100clunk•14s ago•0 comments

Tried to get the horse.horse TLD but it was executed perfectly

https://horse.horse
1•hovden•1m ago•1 comments

Musk's Starlink hooked rural customers. Then came the price increases

https://www.washingtonpost.com/technology/2026/06/11/starlink-is-star-spacex-ipo-is-it-monopolizi...
1•1vuio0pswjnm7•2m ago•0 comments

Pokémon Go Data Isn't Being Used to Train Military Drones, Says Niantic Spatial

https://www.ign.com/articles/no-pokmon-go-data-isnt-being-used-to-train-military-drones-niantic-s...
1•HelloUsername•2m ago•0 comments

SpaceX Shares Open at $150, Above IPO Price of $135

https://www.wsj.com/livecoverage/spacex-ipo-stock-market-06-12-2026/card/spacex-shares-open-at-15...
1•JumpCrisscross•3m ago•0 comments

MTG Arena Rule Engine Overview

https://magic.wizards.com/en/news/mtg-arena/on-whiteboards-naps-and-living-breakthrough
1•BoingBoomTschak•4m ago•1 comments

Tattva AI – detects when ML research consensus is shifting using Bayesian CUSUM

https://tattvaai.org
1•prashanthja•5m ago•0 comments

Ask HN: I Need Help for a Product

1•memoryleakgame•6m ago•1 comments

Custom Prompts: a minimal, customizable alternative to Skills

https://rocketup.pages.dev/posts/alternative-to-skills/
1•gidellav•7m ago•0 comments

Ask HN: Favorite prompts for improving LLM output?

1•maxutility•7m ago•1 comments

Self declare engineering fails to meet expectations

https://hackaday.com/2026/06/11/the-merits-of-comment-driven-development-as-counterweight-to-tdd/
1•topham•8m ago•2 comments

My Claude Code Setup

https://illuminatedcomputing.com/posts/2026/06/my-claude-code-setup/
1•pjungwir•9m ago•0 comments

SpaceX: Flying High on Impunity

https://www.patreon.com/BindingChaos/posts/spacex-flying-on-159613360
1•ortr•9m ago•0 comments

Accountants in Brentwood

https://skzee.co.uk/accountants-in-brentwood/
1•syedsherazahmed•9m ago•0 comments

Show HN: Tokenbrook Vale, a cozy office village for your AI agents

https://github.com/Jodacola/tokenbrook
1•jodacola•12m ago•0 comments

Sam Bankman-Fried loses bid to overturn crypto fraud conviction

https://www.reuters.com/legal/government/sam-bankman-fried-loses-bid-overturn-crypto-fraud-convic...
2•thm•12m ago•0 comments

Apple Deepfakes

https://dbushell.com/2026/06/12/apple-deepfakes/
1•speckx•13m ago•0 comments

The Tex Showcase

https://www.tug.org/texshowcase/
2•tzury•13m ago•0 comments

Show HN: Janus – MCP that collects context from browser and terminal

https://github.com/kmcheung12/janus
1•a_c•15m ago•0 comments

Euro-Office, open standards, and native ODF

https://blog.documentfoundation.org/blog/2026/06/11/euro-office-open-standards-and-native-odf/
5•ChrisArchitect•15m ago•1 comments

Elon Musk becomes the first trillionaire

https://www.cbsnews.com/news/elon-musk-spacex-ipo-trillionaire-wealth/
1•hibern8•15m ago•0 comments

Solid-state batteries are now powering EVs in the real world

https://electrek.co/2026/06/11/solid-state-batteries-now-powering-evs-in-real-world/
3•Brajeshwar•16m ago•0 comments

Putin's road to ruin: Ukraine hits key Russian supply line in new drone campaign

https://www.nbcnews.com/world/ukraine/ukraine-russia-highway-drone-campaign-crimea-fuel-crisis-rc...
3•MilnerRoute•17m ago•0 comments

SpaceX IPO: The great fleecing of retail investors just took another dark turn

https://www.msn.com/en-us/money/topstocks/spacex-ipo-the-great-fleecing-of-retail-investors-just-...
2•petethomas•19m ago•0 comments

The Nerdy Escorts Cashing in on Silicon Valley's AI Boom

https://www.forbes.com/sites/annatong/2026/06/07/the-nerdy-escorts-cashing-in-on-silicon-valleys-...
2•fortran77•19m ago•0 comments

Draw the rest of the ___ owl (software factory edition)

https://www.germanvelasco.com/blog/draw-the-rest-of-the-owl-software-factory-edition
1•germsvel•20m ago•0 comments

Arch Linux's AUR Sees More Than 400 Packages Compromised with Malware

https://lists.archlinux.org/archives/list/aur-general@lists.archlinux.org/thread/FGXPCB3ZVCJIV7FX...
1•m463•21m ago•0 comments

Responding to Plausibility of Alien Visitors

1•dabadabad00•21m ago•1 comments

Joint Guidance on Vulnerability Naming and Disclosure

https://nesbitt.io/2026/06/12/joint-guidance-on-vulnerability-naming-and-disclosure.html
1•phoronixrly•23m ago•0 comments

Euro-Office must default to ODF to be considered "genuinely European"

https://www.neowin.net/news/euro-office-must-default-to-odf-to-be-considered-genuinely-european-l...
4•bundie•24m ago•1 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.