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Fun 0.37.62 – The programming language that makes you have fun

https://fun-lang.xyz/2026/01/25/announcing-fun-0.37.62/
1•hanez•31s ago•1 comments

GameStop's original bull is back. CEO Ryan Cohen has Berkshire-like ambitions

https://www.msn.com/en-us/money/savingandinvesting/gamestop-s-original-bull-is-back-ceo-ryan-cohe...
1•petethomas•1m ago•0 comments

How many users can a $50K AI workstation serve? Benchmark data

https://old.reddit.com/r/LocalLLaMA/comments/1qorbdk/dual_rtx_pro_6000_workstation_with_115tb_ram/
2•Blue_Cosma•2m ago•0 comments

AI gives cleaning instructions [video]

https://www.youtube.com/shorts/TP_p5YnRH00
1•6510•3m ago•0 comments

"IG is a drug": Internal messages may doom Meta at social media addiction trial

https://arstechnica.com/tech-policy/2026/01/tiktok-settles-hours-before-landmark-social-media-add...
2•mikestew•4m ago•0 comments

Kimi K2.5 1T runs on 2 M3 Ultras with mlx-lm in it's native precision

https://twitter.com/awnihannun/status/2016221496084205965
1•jeudesprits•6m ago•0 comments

Asteroid 2024 YR4 Has a 4% Chance of Hitting the Moon

https://www.universetoday.com/articles/asteroid-2024-yr4-has-a-4-chance-of-hitting-the-moon-heres...
1•belter•6m ago•0 comments

Hacker News Slop

https://www.hnslop.com/
3•jshchnz•8m ago•0 comments

Updated LLM Benchmark (Gemini 3 Flash)

https://entropicthoughts.com/updated-llm-benchmark
1•surprisetalk•8m ago•0 comments

Quality, Quantity, and Effective Iteration

https://www.autodidacts.io/iteration/
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George Washington's Teeth

https://en.wikipedia.org/wiki/George_Washington%27s_teeth
1•surprisetalk•8m ago•0 comments

Opentrees.org (2024)

https://opentrees.org/#pos=1/-37.8/145
2•surprisetalk•8m ago•0 comments

A B-52 Crash in Greenland Became One of the Cold War's Worst Nuclear Accidents

https://www.military.com/daily-news/investigations-and-features/2026/01/16/how-b-52-crash-greenla...
1•belter•9m ago•0 comments

It is incorrect to "normalize" // in HTTP URL paths

https://runxiyu.org/comp/doubleslash/
1•todsacerdoti•10m ago•0 comments

Show HN: Duperr – On-device voice cloning using Qwen3-TTS for iOS

https://testflight.apple.com/join/98d1hB6U
1•ahampt•11m ago•0 comments

What would GitHub Actions look like if you designed it today?

https://www.rwx.com/blog/what-would-github-actions-look-like-if-you-designed-it-today
1•dan_manges•13m ago•0 comments

RAM shortage is raising prices on Samsung's cheapest phones

https://9to5google.com/2026/01/27/samsung-galaxy-a07-5g-india-pricing-increase-ram-shortage/
2•speckx•13m ago•0 comments

Local Browser – On-Device AI Web Automation

https://github.com/RunanywhereAI/on-device-browser-agent
1•PaulHoule•14m ago•0 comments

Show HN: Control macOS with an Xbox Controller

https://github.com/bobmayuze/vibeController
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Ubiquiti: The U.S. Tech Enabling Russia's Drone War

https://hntrbrk.com/ubiquiti/
3•lladnar•16m ago•0 comments

DHH is immortal, and costs $200M

https://danieltenner.com/dhh-is-immortal-and-costs-200-m/
2•duck•16m ago•0 comments

Ask HN: What recent UX changes make no sense to you?

2•superasn•16m ago•0 comments

The Inverted Panopticon

https://shanakaanslemperera.substack.com/p/the-inverted-panopticon
1•NN88•17m ago•0 comments

I moved my website from NextJS to Phoenix

https://aayushsahu.com/blog/nextjs-to-phoenix
1•jelvibe25•18m ago•0 comments

A "Pure Go" Linux Environment, Written by Claude, Directed by Fabrice Bellard

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2•jtolds•18m ago•0 comments

Show HN: Git-Watchtower – Quickly Manage 5 plus Claude Code on the Web Threads

https://github.com/drummel/git-watchtower
1•drummel33•18m ago•0 comments

'You can't have guns. You can't walk in with guns,' Trump says of Pretti killing

https://www.pbs.org/newshour/politics/watch-you-cant-have-guns-you-cant-walk-in-with-guns-trump-s...
1•archy_•21m ago•1 comments

Why the Next Recession Will Be the Catalyst for Depression

http://charleshughsmith.blogspot.com/2026/01/why-next-recession-will-be-catalyst-for.html
1•speckx•21m ago•0 comments

37signals Isn't Smarter Than You, but They Are Different

https://twitter.com/nateberkopec/status/2015966051650191531
1•taubek•23m ago•1 comments

Show HN: Script: JavaScript That Runs Like Rust

https://docs.script-lang.org/blog/introducing-script
2•jucasoliveira•26m ago•1 comments
Open in hackernews

GPT needs a truth-first toggle for technical workflows

1•PAdvisory•8mo 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•8mo 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•8mo 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__•8mo 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.