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Attention, and the Things We're Avoiding

https://alejandroandr.eu/intimacy-for-hire
1•re6tor•49s ago•0 comments

Microsoft Winding Down Oracle Deal to Rent AI Cloud Capacity

https://www.bloomberg.com/news/articles/2026-11-06/microsoft-is-winding-down-oracle-deal-to-rent-...
1•petethomas•57s ago•0 comments

Measuring how AI agents handle everyday wet-lab science

https://openai.com/index/measuring-how-ai-agents-handle-wet-lab-science/
1•asdfasdf45•1m ago•0 comments

Tesla's Cybertruck heads for an exit after years of hype and division

https://apnews.com/article/cybertruck-cybercab-discontinued-musk-sales-6938a145d365f8e31b26bb9c45...
1•jamesgill•5m ago•0 comments

Combining freelancing, social networking, and AI

https://freelancer.svoxx.com/int/en
1•svoxx•8m ago•0 comments

Developers say they didn't know gov't was buying user data

https://404privacy.com/blog/app-developers-say-they-didnt-know-user-data-went-to-the-government/
1•un-nf•8m ago•1 comments

QueCarrera – Pick a university degree in Madrid, with cut-off grades

https://quecarrera.vercel.app
1•gustavogb•10m ago•0 comments

Anthrax outbreak in Africa's oldest national park kills hippos

https://abcnews.com/International/anthrax-outbreak-virunga-national-park-kills-dozens-hippos/stor...
1•gmays•10m ago•0 comments

A Man Who Conned the World

https://foreignpolicy.com/2023/12/03/con-artist-global-scam-ghana-anansis-gold/
1•prmph•14m ago•0 comments

1994 After Dark Files Rat Race, Ported to the Browser

https://rat-race.heyitsjam.es/
1•shijie•16m ago•0 comments

Elon Musk is about to learn how much America hates him

https://www.independent.co.uk/voices/elon-musk-donald-trump-midterms-republican-starlink-b3079726...
5•Zigurd•20m ago•0 comments

What Is Pico Ballooning?

https://traquito.github.io/pico-balloons/
1•gregsadetsky•20m ago•0 comments

US warns China it must 'immediately' meet terms of Busan trade deal

https://www.ft.com/content/391bb785-0247-4c39-b53b-35007187d603
2•madihaa•21m ago•0 comments

Mineral-forming method removes over 99% of radioactive technetium from waste

https://phys.org/news/2026-11-mineral-method-radioactive-technetium-liquid.html
2•titusblair•21m ago•0 comments

Ask HN: Are AI-written reviews a safety risk? Evidence from ICLR2027 scores

1•fsabau•22m ago•0 comments

Show HN: We built an async interview engine to get published on HackerNoon

https://journalistic.tech/
1•smooke•22m ago•0 comments

Show HN: Realtime sync engine without any new infra

https://github.com/tanishqkancharla/tandem
1•tanishqkanc•24m ago•0 comments

New Research Tests Whether AI Models Know Their Own Thoughts

https://www.quantamagazine.org/new-research-tests-whether-ai-models-know-their-own-thoughts-20261...
1•dogscatstrees•25m ago•0 comments

How I Learned to Stop Worrying and Love AI

https://koenvangilst.nl/lab/how-i-stopped-worrying-and-learned-to-love-ai
3•vnglst•26m ago•0 comments

FMF Jailbreak Rating Framework for Frontier Cyber Threats

https://www.frontiermodelforum.org/updates/introducing-the-fmf-jailbreak-rating-framework-for-fro...
1•pretext•26m ago•0 comments

Anthropic to press ahead with November IPO targeting $1.5T valuation

https://www.ft.com/content/314e17df-e7af-4814-b208-70a0557cb452
3•mfiguiere•26m ago•0 comments

Ballast – cold email infrastructure with AI and MCP

https://ballast.to
1•yetanotherdevz•26m ago•1 comments

Teaching AI to build scientific models

https://www.anthropic.com/research/teaching-ai-to-build-scientific-models
2•pretext•27m ago•0 comments

End of the Internet

https://stratechery.com/2026/the-end-of-the-internet/
3•Karrot_Kream•29m ago•0 comments

I watched a humanoid robot clean my apartment. Like a taste of the future

https://www.technologyreview.com/2026/11/06/1148090/i-watched-a-humanoid-robot-clean-my-apartment...
3•gnabgib•30m ago•0 comments

Hacking the meta ray-ban smartglasses

https://p0pcycle.com/2026/11/06/hacking-the-meta-ray-ban-smartglasses/
1•sshah03•31m ago•0 comments

The Components of Agent Memory

https://www.anthropic.com/research/components-of-agent-memory
3•mfiguiere•32m ago•0 comments

The Yak Is Shaved

https://oddbits.ai/blog/the-yak-is-shaved/
1•wfalcon•33m ago•1 comments

Implant 0.4.0 Is Out

https://marketplace.visualstudio.com/items?itemName=strangepleasures.implant
1•strangepleasure•33m ago•1 comments

Tell HN: Be Careful with Stripe Connect

6•breue•36m 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.