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We fine-tuned a 235B model on 4 GPUs. Then we didn't need it

https://blog.vertexcover.io/fine-tuning-235b-moe-four-gpus
1•kgritesh•43s ago•0 comments

Amelia Earhart researchers leave remote atoll empty-handed

https://www.theguardian.com/us-news/2026/oct/19/amelia-earhart-purdue-expedition-clump-of-trees-n...
1•stevekemp•46s ago•0 comments

Data Not Collected, all afternoon: background GPS with no telemetry

https://cobblegobble.app/notes/data-not-collected.html
1•kueblboe•50s ago•0 comments

Wobble Web: a code editor for small websites

https://wwwobble.org/
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Gustave Eiffel's Secret Apartment

https://www.atlasobscura.com/places/gustave-eiffels-secret-apartment
1•thunderbong•3m ago•0 comments

There are two visions of universal basic income

https://twitter.com/brivael/status/2112116234258894877
1•bilsbie•3m ago•0 comments

Beyond "Why the West Rules": Modernity as Topological Superconductivity

https://zenodo.org/records/23445726
1•SBNakta•3m ago•0 comments

MiniMax H3 benchmarks: 40 DiT variants on one RTX 5080, failures included

https://phasyn.dev/en/benchmarks/
1•dennysora-main•4m ago•0 comments

Gaussian Splats as a particle system: destructible boss hulls in Godot

https://aster-master.com/devlog/gaussian-splats-destruction/
1•zakons•4m ago•0 comments

A Trillion-Dollar Industry Launders Illegal Gold

https://www.nytimes.com/2026/10/19/world/africa/dirty-gold-industry-coverup-launder-madagascar.html
2•chrisaycock•4m ago•0 comments

MiniMax M3.1 Flash: Space Performance and Bunny Speed

https://twitter.com/MiniMax_AI/status/2112150867868541221
1•theanonymousone•8m ago•0 comments

The Art of Swarming

https://www.csis.org/analysis/art-swarming
1•gmays•8m ago•0 comments

Show HN: Verbs – pixel-art loops for each of Claude Code's 188 spinner verbs

https://ollie.md/verbs/
1•olliewagner•8m ago•0 comments

LA restaurant group used $60k Dodgers bet to hedge playoff risk, Kalshi says

https://www.reuters.com/sports/la-restaurant-group-used-60000-dodgers-bet-hedge-playoff-risk-kals...
2•mhb•10m ago•0 comments

Is Germany's eight-hour workday under threat?

https://www.dw.com/en/is-germanys-eight-hour-workday-under-threat/a-79680984
3•rustoo•11m ago•0 comments

The GB Museum on a Cartridge: A Reference Work That Runs on a Game Boy

https://www.gameboymuseum.com/single-post/gb-museum-on-cart
1•rdmuser•11m ago•0 comments

A clinical Q&A API With citations

https://primaryai.world/clinical-api/
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BeamFS Sent Out as Newest File-System Proposal for Linux

https://www.phoronix.com/news/Linux-BeamFS
1•khalidkhair•13m ago•0 comments

Every Dog in New York

https://everydog.nyc/
1•classictraffic•14m ago•0 comments

I Write (and Care) About the Internet, and What So Many People Get Wrong

https://brennan.day/why-i-write-and-care-about-the-internet-and-what-so-many-people-get-wrong/
2•surprisetalk•15m ago•0 comments

The Documentation I Wish I Had: How I build drivers for open nexus OS

https://open-nexus-os.io/blog/the-documentation-i-wish-i-had/
1•jenningschaefer•16m ago•0 comments

They Lied to you about the Virtual Fly Brain [video]

https://www.youtube.com/watch?v=3n3YHf4_Qtk
2•RicoElectrico•17m ago•1 comments

I threat-modelled my Hyprland setup

https://demiguru.codeberg.page/wayland-compositor-threat-model/
1•DemiGuru•18m ago•0 comments

ClangIR and the Cost of MLIR

https://maskray.me/blog/clangir-and-the-cost-of-mlir
1•csmantle•18m ago•0 comments

Frances E. Dec: Mad Deadly Worldwide Communist Gangster Computer God

https://medium.com/@Goosenpai/the-curious-rants-of-francis-e-dec-esq-a164ab2ae8f
1•vegnus•19m ago•0 comments

Hosting an 'Internet Search Party'

https://lowpolybrainblasts.pika.page/posts/hosting-an-internet-search-party
2•rdmuser•20m ago•0 comments

Show HN: Marcus – catches the fake source links AI search engines invent

https://marcus-ai.dev/on-the-record/
1•lwgray•20m ago•0 comments

Bonanza of new dates rewrites the history of the Inca

https://www.science.org/content/article/bonanza-new-dates-rewrites-history-inca
1•pseudolus•22m ago•0 comments

Invalid by Design: What the Softaculous BGP Hijack Proves About RPKI

https://cloudpunk.blog/post/bgp-hijack-rpki-gap/
1•mritzmann•24m ago•0 comments

The Good Thing About Hard Things

https://calnewport.com/the-good-thing-about-hard-things/
2•samizdis•26m 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.