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Hollywood's Box Office Boom Comes with 248M Missing Tickets

https://www.nytimes.com/interactive/2026/09/07/business/media/summer-movies-box-office.html
1•ChrisArchitect•3s ago•1 comments

The Weather Is the Plan: Crossing Lake Michigan

https://sailandsavor.blog/2026/09/07/the-weather-is-the-plan-crossing-lake-michigan-part-2/
1•mekdoonggi•56s ago•0 comments

I Couldn't Play Guitar, So I Spent 6 Years Building a Guitar Robot [video]

https://www.youtube.com/shorts/XgJjdkYOKz8
1•kristianpaul•4m ago•0 comments

The robots.txt user-agent lines that do not name what they look like

https://ai-visibility.lastminutedealshq.com/robots-txt-user-agent-tokens
1•reesecalder•6m ago•0 comments

There's a new "Google Jail" for independent wikis

https://weirdgloop.org/blog/google-jail
1•pizzaiolo•6m ago•0 comments

Giving Minecraft Infinite Time to Beat Itself [video]

https://www.youtube.com/watch?v=9t2fV52jMA8
1•nstents•6m ago•0 comments

Jellyfin 12.0

https://jellyfin.org/posts/jellyfin-release-12.0/
4•0xC0ncord•7m ago•0 comments

Terence Tao – Reflections on the Foundations of Interpretability Workshop

https://www.youtube.com/watch?v=AXlif6z9a2A
1•twoodfin•8m ago•0 comments

Show HN: Froogle – a search engine portal in one HTML file

1•scosman•10m ago•0 comments

Vagrant is approaching EOL. No more "Docker for VMs"

https://developer.hashicorp.com/hcp/docs/vagrant/hcp-vagrant-eol
1•stasge•12m ago•0 comments

Mathematical Cranks

https://en.wikipedia.org/wiki/Mathematical_Cranks
1•_ttg•13m ago•0 comments

DUPR (pickeball rating system) outage: 3rd day and no explanation

https://www.reddit.com/r/Pickleball/comments/1w9iroh/the_dupr_situation_its_bad/
1•gbin•13m ago•0 comments

My business partner sent a 5K vibe-coded PR that he didn't even test

https://ycj.bearblog.dev/ai-again/
2•yhcj•15m ago•0 comments

Anthropic Said to Walk Away from $6B Decart Acquisition

https://www.bloomberg.com/news/articles/2026-09-08/anthropic-said-to-walk-away-from-6-billion-dec...
2•mfiguiere•16m ago•0 comments

Monero is our most-used crypto at NanoGPT

https://reddit.com/r/Monero/comments/1w9my20/monero_is_our_mostused_crypto_at_nanogpt_were_now/
2•Cider9986•16m ago•1 comments

OpenAI and the Wiki Incident

https://thezvi.substack.com/p/openai-and-the-wiki-incident
1•Khaine•17m ago•0 comments

Release pnpm 11.26 · pnpm/pnpm

https://github.com/pnpm/pnpm/releases/tag/v11.26.0
1•kyisaiah47•17m ago•0 comments

Show HN: Termjack – blackjack in the terminal with a built-in strategy trainer

https://github.com/eddietex/termjack
1•esdrasevt•19m ago•1 comments

LLM Guided Evolution for Circle Packing: Breaking 10 Packomania Records for $28

https://arxiv.org/abs/2609.05093
1•practicalsystem•20m ago•0 comments

Show HN: Gorilla Quake

https://github.com/duncancarroll/gorillaquake
2•duncancarroll•23m ago•0 comments

After 9/11, Documents Suggest New Yorkers Were Misled About Air Quality

https://www.nytimes.com/2026/09/07/nyregion/sept-11-air-quality-cancer.html
2•littlexsparkee•28m ago•1 comments

An audit of the Bible and the God in it

https://medium.com/freedomofthought/an-audit-of-the-bible-and-the-god-in-it-88410af31682
2•raynchad•35m ago•2 comments

Divergent betacoronavirus with functional furin cleavage site in S.American bats

https://www.nature.com/articles/s41467-026-77599-6
1•ceejayoz•40m ago•0 comments

World Models from Scratch Part 1: Tokenizing Super Mario Land

https://www.youtube.com/watch?v=KyqrUA25424
2•jadidbourbaki•42m ago•0 comments

A Multiplayer Pong over SSH

https://antics.gg/ssh
1•eric_khun•43m ago•0 comments

Throng – A new way to browse Bluesky

https://throng.cee.wtf/
2•twotwoz•46m ago•1 comments

I've factored the RSA keys of a Certificate Authority from the 90s

https://mcpherrin.ca/2026/09/07/rsa.html
64•ahlCVA•46m ago•5 comments

Ask HN: Simple Question

1•sgroppino•47m ago•0 comments

Agentdesktop

https://github.com/agentdesktop-dev/agentdesktop
1•ilevine•48m ago•1 comments

We put an LLM in a PostgreSQL analyzer, then stopped letting it decide truth

https://blog.elevarq.com/elevarq-1-0
1•frankheikens•48m 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.