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Kikuha – A privacy-first, zero-tracking social network built with Flask and Htmx

https://kikuha.com/
1•koniakAra•2m ago•0 comments

Grokipedia stopped updating three months ago

https://www.lawfaremedia.org/article/grokipedia-stopped-reviewing-edits-in-april.-it-didn-t-tell-...
1•BlueBerry2001•4m ago•0 comments

Servers can be backdoored by exploiting buggy motherboard controll

https://arstechnica.com/security/2026/08/thousands-of-servers-can-be-backdoored-by-exploiting-bug...
1•joozio•5m ago•0 comments

Fedora Approves a Smaller Grub

https://lwn.net/Articles/1085609/
1•pykello•9m ago•0 comments

A Vision for Cargo

https://epage.github.io/blog/2026/08/cargo-vision/
1•ingve•10m ago•0 comments

Mathematicians make a breakthrough on Gauss's riddle, unsolved for 200 years

https://www.scientificamerican.com/article/mathematicians-make-a-breakthrough-on-gausss-riddle-un...
1•pykello•11m ago•0 comments

For Chinese LLMs, do you care about mainland-hosted vs. overseas endpoints?

https://api.realitypatch.net/
1•yangzhou-tech•13m ago•0 comments

Meta's Mac Coding Agent Costs Up to 20x Less If You Let It Train on Your Data

https://www.macrumors.com/2026/08/05/meta-muse-code-for-mac/
1•thm•15m ago•0 comments

Journey to Robbers Cave – Behavioral Scientist

https://behavioralscientist.org/journey-to-robbers-cave/
1•pulkonet•16m ago•0 comments

I built a postpartum recovery app after reading many stories from new mothers

https://play.google.com/store/apps/details?id=com.matrabloom.app&hl=en_IN
1•rahulsinghhh•20m ago•0 comments

Obsidian debuts Airtable to local Markdown file importer rescue tool

https://obsidian.md/help/import/airtable
1•thoughtpeddler•22m ago•0 comments

Dissection of Flock Safety Camera

https://www.cehrp.org/dissection-of-flock-safety-camera/
1•sandebert•22m ago•0 comments

Let's all meet up in the Y2K

https://blog.gingerbeardman.com/2026/08/06/lets-all-meet-up-in-the-y2k/
1•msephton•23m ago•0 comments

Design Test

1•ccbakla•24m ago•0 comments

You Can't Optimize for Rest (2021)

https://theconvivialsociety.substack.com/p/you-cant-optimize-for-rest
1•downbad_•25m ago•0 comments

Own-Goal Football (2022)

https://generalist.academy/2022/06/07/own-goal-football/
1•downbad_•25m ago•0 comments

The American Age in the Persian Gulf Is Over

https://phillipspobrien.substack.com/p/midweek-update-22-the-american-age
1•JumpCrisscross•27m ago•0 comments

Britain will soon be Europe's energy powerhouse

https://www.telegraph.co.uk/business/2026/08/04/britain-will-soon-be-europes-energy-powerhouse/
1•sbyse•32m ago•1 comments

Weezer CEO [video]

https://www.youtube.com/watch?v=F0N5Kg3FmtI
1•sgt•34m ago•0 comments

So within, so without. What grows from the datacentre

https://iain.so/so-within-so-without-what-grows-from-the-datacentre
1•iainharper•34m ago•0 comments

I gave Claude Code and KimiCode shared memory so they stop forgetting my project

https://github.com/ConradLu2740/ProactiveAgent
1•conradlu•41m ago•0 comments

On non-rooted Android 17, ADB uninstall of system apps fails

https://github.com/Universal-Debloater-Alliance/universal-android-debloater-next-generation/issue...
2•microtonal•42m ago•0 comments

OpenAI Didn't Notice Its AI Agents Using Message Board to Plan Hacking Spree

https://www.wired.com/story/openai-didnt-notice-its-ai-agents-using-a-message-board-to-plan-their...
4•TMWNN•43m ago•1 comments

Ask HN: What's wrong with my prompting for Claude 5?

1•SmolSpideritito•44m ago•0 comments

Shopify shares soar as AI efforts begin to pay off

https://www.theglobeandmail.com/business/article-shopify-shares-soar-as-ai-efforts-begin-to-pay-off/
1•petethomas•46m ago•0 comments

Prime Agent: A Self-Improving RLM Agent

https://github.com/PrimeIntellect-ai/prime-agent
1•wertyk•46m ago•0 comments

Who's legally to blame for Anthropic and OpenAI's autonomous AI hacks?

https://techcrunch.com/2026/08/03/whos-legally-to-blame-for-anthropic-and-openais-autonomous-ai-h...
1•reasonableklout•48m ago•0 comments

A CLI that deploys your Express/NestJS app to your own AWS or Azure – no IaC

https://www.indiehackers.com/post/7-weeks-solo-a-cli-that-deploys-your-express-nestjs-app-to-your...
1•feras_allaou•49m ago•0 comments

Token-Budget-Aware LLM Reasoning

https://arxiv.org/abs/2412.18547
1•ankitg12•49m ago•0 comments

Show HN: Scout – a self-hosted Discord AI memory bot

https://github.com/j-sofia/Scout
1•j-sofia•51m 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.