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An MIT Student Awed Top Economists with His AI Study–Then It All Fell Apart

https://www.wsj.com/economy/aidan-toner-rodgers-mit-ai-research-78753243
2•seagullz•4m ago•0 comments

Small Machine Shop Owner Fights Back [video]

https://www.youtube.com/watch?v=jt5DhnoYm5w
1•ksec•11m ago•0 comments

Let me opt in, not out

https://www.aleksandrhovhannisyan.com/blog/let-me-opt-in-not-out/
1•aleksandrh•15m ago•0 comments

Google denies 'misleading' reports of Gmail using your emails to train AI

https://www.theverge.com/news/826902/gmail-ai-training-data-opt-out
5•GeorgeWoff25•30m ago•0 comments

Superman copy found in mum's attic is most valuable comic ever at $9.12M

https://www.bbc.com/news/articles/c8e9rp0knj6o
40•1659447091•40m ago•10 comments

Servo Sponsorship Tiers

https://servo.org/blog/2025/11/21/sponsorship-tiers/
3•pabs3•44m ago•0 comments

Rolls-Royce tests how to limit sand damage to jet engines

https://www.bbc.com/news/articles/cj0e3npg7e4o
4•1659447091•44m ago•0 comments

RIP Puzzles in chess.com – I miss it

2•kinj28•51m ago•0 comments

Show HN: Skedular, a Smart Booking and Workspace Management Platform

https://skedular.app
2•mortezaalizadeh•58m ago•0 comments

The digital nomad era is over

https://qz.com/digital-nomads-ai-rto-remote-work-office
5•doughnutstracks•1h ago•1 comments

Cursor Learn

https://cursor.com/learn
2•dsr12•1h ago•0 comments

AI Exponentializes Your Tech Debt

https://www.vincentschmalbach.com/ai-exponentializes-your-tech-debt/
9•vincent_s•1h ago•2 comments

Workbass: Free Invoice-Generating Software for Modern Businesses

2•tobinews•1h ago•0 comments

Boring Laser Eyes Simulator: Add laser beams to your eyes with your webcam

2•frankhsu•1h ago•0 comments

Microsoft's head of AI doesn't understand why people don't like AI

https://www.pcgamer.com/software/ai/microsofts-head-of-ai-doesnt-understand-why-people-dont-like-...
19•evo_9•1h ago•2 comments

Ask HN: How to generate flipbook-style animations from video?

2•meerab•1h ago•0 comments

A Guide to 3D Printing Model Aircraft Wings

https://hackaday.com/2022/08/26/a-guide-to-3d-printing-model-aircraft-wings/
3•addaon•1h ago•0 comments

Where is my von Braun Wheel?

https://www.worksinprogress.news/p/where-is-my-von-braun-wheel
4•sien•1h ago•0 comments

Openring-rs: a webring for static site generators written in Rust

https://github.com/lukehsiao/openring-rs
5•lwhsiao•1h ago•1 comments

Hytale Modding Strategy and Status

https://hytale.com/news/2025/11/hytale-modding-strategy-and-status
2•smj-edison•1h ago•0 comments

Arrogance as a Vulnerability: How 'Hopefully Secure' Firebase Cost a $1M Startup

https://prajyoth.pages.dev/article?id=2025-11-22-arrogance-as-a-vulnerability
3•ImPrajyoth•1h ago•0 comments

Moss Survives 9 Months in Space Vacuum

https://scienceclock.com/moss-survives-9-months-in-space-vacuum/
40•ashishgupta2209•2h ago•7 comments

mRNA flu vaccine is up to 34.5% more effective than current flu vaccines

https://www.scimex.org/newsfeed/expert-reaction-mrna-flu-vaccine-is-up-to-34-5-percent-more-effec...
20•lysp•2h ago•4 comments

Lester: A New Era for Rotoscoping in Indie Animation and Retro Game Development

https://rtous.github.io/lester/
2•LostMyWords•2h ago•0 comments

Topological Adam: An experiment in energy-stabilized optimization

https://github.com/RRG314/topological-adam
1•sreid90•2h ago•0 comments

Pin Analysis

http://www.datagenetics.com/blog/september32012/index.html
1•WhyNotHugo•2h ago•0 comments

Apple shows how much faster the M5 runs local LLMs compared to the M4

https://9to5mac.com/2025/11/20/apple-shows-how-much-faster-the-m5-runs-local-llms-compared-to-the...
11•geoffbp•2h ago•2 comments

Daily logic puzzles with juicy gossipy themes

https://www.gossipdle.com
1•Qpphello•2h ago•1 comments

Breakthrough in Antimatter Production

https://home.cern/news/news/experiments/breakthrough-antimatter-production
19•thunderbong•2h ago•1 comments

New research reveals the cognitive hurdles created by our number systems

https://www.psypost.org/new-research-reveals-the-cognitive-hurdles-created-by-our-number-systems/
4•DrierCycle•2h ago•0 comments
Open in hackernews

GPT needs a truth-first toggle for technical workflows

1•PAdvisory•6mo 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•6mo 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•6mo 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__•6mo 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.