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"People Don't Want to Work Anymore" Duh?

https://blog.absurdpirate.com/people-dont-want-to-work-anymore-duh/
3•speckx•9m ago•1 comments

U.S. university asks journal to remove a name from paper with coauthor in China

https://retractionwatch.com/2026/11/04/us-university-asks-journal-to-remove-professors-name-from-...
1•leephillips•10m ago•0 comments

Mathematical analysis and applications by Hari Mohan Srivastava

https://archive.org/details/hari-mohan-srivastava.-mathematical-analysis-and-applications
1•ibobev•11m ago•0 comments

Quantum Electrodynamics by Richard Feynman

https://archive.org/details/quantumelectrody00feyn
1•ibobev•11m ago•0 comments

AI's Götterdämmerung – Food for Agile Thought #569

https://age-of-product.com/food-agile-thought-569-ai-goetterdaemmerung/
1•swolpers•12m ago•0 comments

Backslashes can accidentally allow users to access protected routes

https://octri.dev/blog/backslash-nginx-node-admin-route
2•khalidkhair•12m ago•0 comments

The New York Times reportedly in talks to buy Letterboxd for $330M

https://techcrunch.com/2026/11/05/the-new-york-times-reportedly-in-talks-to-buy-letterboxd-for-33...
2•askadityapandey•13m ago•0 comments

An open-source offline period tracker with encrypted storage for your gf

https://github.com/keithmgoatley/lunelle
1•goatley•14m ago•0 comments

Why a Cloud Guardrail Is a Contradiction

https://www.cerbereag.site/blog/why-a-cloud-guardrail-is-a-contradiction
1•Dikesa_27•15m ago•0 comments

What we learned by watching Claude read Zapier.com

https://zapier.com/blog/what-we-learned-watching-claude-read-zapier/
2•ayinlaolajide•15m ago•1 comments

Physical AI can't learn from the internet. We build the worlds it learns from

https://www.physicl.ai/insights/inside-studio
1•qntph•16m ago•0 comments

The Future of Knowledge Work with AI

https://www.noemamag.com/now-entering-the-era-of-bleh/
1•speckx•16m ago•0 comments

Project 2027: An RFC to rebuild public tech using the economics of Open Source

https://joinproject2027.org/plan
3•pzuraq•16m ago•1 comments

Show HN: UtmSnap – A fast, local-first UTM builder with team taxonomy governance

https://utmsnap.com
1•vnsamy_code•17m ago•0 comments

MTG-I2 First Images

https://www.eumetsat.int/mtg-i2-first-images
2•N19PEDL2•18m ago•0 comments

Musk's Starlink Embraces 'Dynamic Pricing,' Further Jacking Up Costs

https://www.techdirt.com/2026/11/06/musks-starlink-embraces-dynamic-pricing-further-jacking-up-co...
3•cdrnsf•18m ago•1 comments

Grua – Free self-hosted PaaS

https://grua.io
1•rwillians•19m ago•1 comments

Pebble Plugins

https://developer.repebble.com/guides/plugins/preview/
1•droidjj•19m ago•0 comments

We shifted 53% (+$17k) of our token spending to scripts

https://www.agent-swarm.dev/blog/automation-savings
2•tarasyarema•20m ago•1 comments

How hard is it to check for whitespace?

https://serce.me/posts/2026-10-30-how-hard-is-it-to-check-for-whitespace
1•theanonymousone•22m ago•0 comments

Wing Commander 2 (The Kilrathi Saga) reconstructed source code ready to browse

https://neuromancer.github.io/wc2-re/
1•galapago•22m ago•0 comments

The ASML Monopoly: Platform and Ecosystem Leadership in EUV Lithography

https://cacm.acm.org/opinion/the-asml-monopoly-platform-and-ecosystem-leadership-in-euv-lithography/
1•fscaramuzza•23m ago•0 comments

Anyone Using Living Brain?

https://livingbrain.com/
1•artur_makly•23m ago•1 comments

Could Avoiding AI Become a Constitutional Right?

https://read.misalignedmag.com/could-avoiding-ai-become-a-constitutional-right-9b037a874465
1•lcubw•23m ago•1 comments

Ask HN: How are companies hiring developers nowadays?

2•Frazzlebilt•24m ago•0 comments

Anatomy, a skill for Claude that draws any concept as a working 3D machine

https://skills.wheresryan.sh/anatomy
2•smugglerFlynn•24m ago•0 comments

Ask HN: AI isn't intelligent :/ what is intelligence?

1•aaditsingal7859•25m ago•2 comments

Astra's Missing Whitespace

https://michaelorenstein.com/blog/missing-whitespace/
1•killcoder•28m ago•0 comments

Join EFF to Celebrate the Life of Aaron Swartz

https://www.eff.org/deeplinks/2026/11/join-eff-celebrate-life-aaron-swartz
3•gslin•28m ago•0 comments

AgentMon Live – Watch Claude Code agents and check their work – Apache 2.0

https://github.com/codenotary/agentmon-live
1•vchain-dz•32m 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.