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You can make your AI Agents EU AI ACT compliant

https://medium.com/@MirArshadTalpur/how-you-can-make-your-ai-agents-eu-ai-act-compliant-1e132e9e4a52
1•Arshad-Talpur•1m ago•0 comments

Stripe to Buy OpenRouter for $7B

https://www.bloomberg.com/news/articles/2026-08-16/stripe-nears-deal-to-buy-ai-firm-openrouter-fo...
1•FinnLobsien•1m ago•0 comments

MIL – Moments in Life

https://mil.now/
1•untitled-now•3m ago•0 comments

AI Stock Research Assistant · Streamlit

https://ai-stock-research-kiaan.streamlit.app
1•KiaanKothari•4m ago•0 comments

Measuring Autonomous AI Research

https://www.primeintellect.ai/blog/measuring-autonomous-research
1•ImageXav•4m ago•0 comments

99% of developers will be users, The 1% will be in high demand [video]

https://www.youtube.com/watch?v=s2G_yFXtmJQ
1•dhruv3006•5m ago•0 comments

SyntheticBird Cuprate Address Book, Reproducible Build and Supply Chain Security

https://ccs.getmonero.org/proposals/syntheticbird_cuprate_scs_ab_3_months.html
1•Cider9986•8m ago•0 comments

The Google SPF Record: Setup, Lookup Math, and the Parts Google's Docs Skip

https://dmarcguard.io/blog/google-workspace-spf-record/
1•meysamazad•8m ago•0 comments

Markdown: Nested Code Fences

https://perrotta.dev/2026/08/markdown-nested-code-fences/
1•meysamazad•8m ago•0 comments

Show HN: KubeSentry – Self-hosted runtime threat detection for Kubernetes

https://kubesentry.io/
2•KubeSentryio•8m ago•0 comments

Dwelling in the Margins

https://tommi.space/margins/
1•meysamazad•8m ago•0 comments

Solving Moe Load Imbalance in LLM Training via Optimal Transport

https://arxiv.org/abs/2608.03676
1•nullnonenilNULL•10m ago•0 comments

Heroes star Hayden Panettiere passes away at 36

https://www.nbcnews.com/pop-culture/pop-culture-news/actor-hayden-panettiere-dies-36-rcna592856
1•lackoftactics•12m ago•0 comments

[Dutch] Equinix datacenter to consume 1.1B liters of drinking water

https://tweakers.net/nieuws/251038/equinix-bouwt-datacenter-dat-1-komma-1-miljard-liter-drinkwate...
2•doughnutstracks•15m ago•0 comments

Who's doing what with watermarking AI content?

https://dilpreet.co/blog/2026/8/17/whos-doing-what-with-watermarking-ai-content
1•argilium•16m ago•0 comments

A local-first scanner for hidden Unicode in AI-generated text

https://cyzanfar.github.io/text-watermark-remover/
1•cyzanfar•16m ago•0 comments

Open-source Next.js starter for a stock trading bot (paper trading)

https://github.com/rkang30/open-trade-bot
1•rkang30•17m ago•0 comments

Anthropic CEO says AI backlash is 'fundamentally a crisis of trust'

https://techcrunch.com/2026/08/16/anthropic-ceo-says-ai-backlash-is-fundamentally-a-crisis-of-trust/
4•datakan•19m ago•2 comments

Captain Zilog

https://www.zilog.com/captain_zilog/
1•rbanffy•19m ago•0 comments

The tokenmaxxing hype didn't last long

https://leaddev.com/reporting/the-tokenmaxxing-hype-didnt-last-long
6•theanonymousone•21m ago•1 comments

Website Archival and Preservation

https://unattributed.cc/2026/08/09/website-archival-and-preservation/
2•surprisetalk•21m ago•0 comments

Harnesses Are "Situated Agents"

https://www.dbreunig.com/2026/08/14/harnesses-are-situated-agents.html
1•dbreunig•23m ago•0 comments

Fairly Ranking the Most Brilliant Birds

https://moultano.wordpress.com/2026/08/14/fairly-ranking-the-most-brilliant-birds/
1•moultano•24m ago•0 comments

Claude Sonnet 5 will remain $2/$10 per M; September increase cancelled

https://www.aipricing.guru/news/claude-output-training-rules-pricing-impact-august-2026/
1•alexmercerdev•24m ago•0 comments

I just tried this privacy-focused version of Android for Pixel phones

https://www.tomsguide.com/phones/google-pixel-phones/i-just-tried-this-privacy-focused-version-of...
1•DemiGuru•25m ago•0 comments

Found a duplicate-execution bug in an MCP tool via static analysis (no LLM)

https://www.getnexum.dev/blog/nexum-004-fabian-williams
1•mbelckadi•26m ago•0 comments

David Sacks on X: Some thoughts on Dario's post

https://twitter.com/DavidSacks/status/2089227290769080656
8•bilsbie•27m ago•4 comments

Show HN: Call My Laptop – Give your laptop a phone number

https://callmylaptop.com
2•ishilp•29m ago•0 comments

Learning PCB Design: An Introduction [video]

https://www.youtube.com/watch?v=X8wnYJK4fJs
1•binyu•31m ago•0 comments

Capability-Based Generative UI Protocol over MCP [video]

https://www.youtube.com/watch?v=ZPdQKE1vI-I
1•marianoguerra•31m 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.